{ "version": "1.0", "generated": "2026-04-10T10:25:07.047480", "description": "DejaViewed catalog — structured knowledge index. Query by tier, domain, type, tool, technique, or full-text search across titles and summaries.", "usage": { "programmatic": "Fetch this JSON, filter entries[] by any field. Indices map keywords → entry IDs for fast lookup.", "agent_context": "Load context.md alongside this file for AI agent reasoning about available knowledge.", "web": "Visit https://dejaviewed.dev for the interactive catalog." }, "stats": { "total_entries": 209, "collections": { "ai1": 57, "ai2": 24, "ai4": 56, "ai3": 45, "quant": 27 }, "tiers": { "S": 28, "A": 84, "B": 36, "C": 61 }, "types": { "repo": 12, "news": 15, "tutorial": 17, "tool": 22, "technique": 54, "demo": 14, "inspiration": 40, "skill": 3, "guide": 10, "platform": 8, "resource": 14 }, "unique_tools": 79, "unique_techniques": 139, "unique_domains": 41, "unique_models": 27, "guides_written": 20 }, "indices": { "by_domain": { "llm": [ "DOPqBfyDMHG", "DJ94FEmoMT7", "DNTuDtvtZkS", "DLuiACnKWP9", "DLTpkBSoiwX", "DGn-XM2vikd", "DJM4x16uQMY", "DIaraR1MjLZ", "DIe7QoQCong", "DBS0RmsR3zZ", "C_iwddVPU0G", "C9ybM2DSduy", "C8_7jdUssQH", "DVQ5o6YDfsp", "DV6QY8QjoRW", "DU5Wjs2DbWS", "DWxmSwTDFk2", "DWzHY9lkSZS", "DWuoMrQEc-f", 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"DUzg0n1jRK-" ], "polymarket": [ "DWzz7T9Ddex", "DWEfIS9jRgI", "DUrQ187EvI4", "DUoiJH_EiqP" ], "turboquant": [ "DWyX5nQkR5a" ], "arc": [ "DVndfhOE7A9" ], "kimi": [ "DWuoMrQEc-f" ], "rag": [ "DWtgbzLDgwm" ], "onyx-dot-app/onyx": [ "DWtgbzLDgwm" ], "nasa eonet": [ "DWrQKaskWlZ" ], "gitreverse.com": [ "DWoZspWDo6F" ], "codex": [ "DV3lILoEfzS" ], "claude dispatch": [ "DWmfTyegZ4i" ], "openscreen": [ "DWl3Bo6jqX1" ], "siddharthvaddem/openscreen": [ "DWl3Bo6jqX1" ], "prompt genie": [ "DJPvk1WhvRo" ], "nvidia chatrtx": [ "C4ygnCxxC60" ], "sora": [ "C64Dr0HAtCC" ], "tradingview": [ "DUa7z3MEq6A" ], "figma": [ "DWoYaIxDWJD" ], "kalshi": [ "DUoiJH_EiqP" ], "python": [ "DTsn_IKE06E", "DTLkCVXE7O6", "DWzAGZzE9gV", "DT3Ig_-E7DW", "DTAjTaBADAx" ], "vectorbt": [ "DTAjTaBADAx" ] }, "by_technique": { "jailbreaking": [ "DOPqBfyDMHG" ], "prompt injection": [ "DOPqBfyDMHG" ], "embeddings": [ "DJ94FEmoMT7" ], "platonic representation hypothesis": [ "DJ94FEmoMT7" ], "role prompting": [ "DNTuDtvtZkS" ], 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claude.md": [ "DVMmXlME6mZ" ], "weather prediction markets": [ "DWzz7T9Ddex" ], "event-based forecasting": [ "DWzz7T9Ddex" ], "limit order harvesting": [ "DWEfIS9jRgI" ], "late-resolution arbitrage": [ "DWEfIS9jRgI" ], "llms.txt": [ "DWxmSwTDFk2" ], "llm-seo / geo": [ "DWxmSwTDFk2" ], "kalman filters": [ "DWiFum7j-cS" ], "statistical arbitrage": [ "DWiFum7j-cS" ], "fama-french factors": [ "DWiFum7j-cS" ], "ornstein-uhlenbeck process": [ "DUI845-k3WR" ], "mean reversion": [ "DUI845-k3WR", "DW6uAQdk1r0", "DVyXe17E2iz" ], "pairs trading": [ "DUI845-k3WR", "DVyXe17E2iz" ], "aco": [ "DVCBNQ8jCly" ], "stigmergy": [ "DVCBNQ8jCly" ], "dollar-neutral reversal": [ "DWjr0x3Deom" ], "transaction cost analysis": [ "DWjr0x3Deom" ], "steganography": [ "DWnHQs-jqr3" ], "intraday momentum": [ "DTEncpgDoNv" ], "websocket orderflow monitoring": [ "DUrQ187EvI4" ], "insider detection": [ "DUrQ187EvI4" ], "backtest overfitting detection": [ "DTZyMVPiHM5" ], "bayesian black-litterman": [ "DTZyMVPiHM5" ], "avellaneda-stoikov mm": [ "DUytAorCGE_" ], "hawkes process": [ "DUytAorCGE_" ], "almgren-chriss": [ "DUytAorCGE_" ], "multi-model code review": [ "DV3lILoEfzS" ], "single-file canvas prompt": [ "DWLMdCUN1eR" ], "fisher transform": [ "DTaoXsmk4g0", "DTaoXsmk4g0" ], "claude code hooks": [ "DV8rkpGEbBJ" ], "osint ingestion": [ "DVbA7IEDDql" ], "route prediction": [ "DVbA7IEDDql" ], "cellular automata": [ "DWTTnvAgik_" ], "markov chains": [ "DWTTnvAgik_" ], "knowledge graphs": [ "DWTTnvAgik_" ], "agent-based modeling": [ "DTsn_IKE06E" ], "phase transitions": [ "DTsn_IKE06E" ], "symmetry breaking": [ "DTsn_IKE06E" ], "phase space reconstruction": [ "DTLkCVXE7O6" ], "time delay embedding": [ "DTLkCVXE7O6" ], "attractor analysis": [ "DTLkCVXE7O6" ], "stochastic volatility": [ "DW6uAQdk1r0" ], "volatility smile": [ "DW6uAQdk1r0" ], "doubly stochastic poisson": [ "DW4GU9HE8nd" ], "point processes": [ "DW4GU9HE8nd" ], "intensity modeling": [ "DW4GU9HE8nd" ], "regime detection": [ "DW1kTMcExSj" 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Quick technique reference for AI-assisted rotoscoping.", "creator": "unknown", "collection": "ai1", "date": "March 17, 2025", "type": "technique", "tier": "B", "audience": "intermediate", "domains": [ "art", "image-gen", "video" ], "tools": [], "repos": [], "models": [], "techniques": [ "segmentation mask rotoscope" ], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DJM4x16uQMY", "url": "https://www.instagram.com/p/DJM4x16uQMY/", "title": "Ollama — run open-source LLMs locally to learn how they work", "summary": "@edhonour: short PSA that installing Ollama is the easiest way to run open-source models locally and poke at their internals. Baseline local-LLM entry point.", "creator": "@edhonour", "collection": "ai1", "date": "May 3, 2025", "type": "tool", "tier": "A", "audience": "beginner", "domains": [ "llm" ], "tools": [ "Ollama" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Ollama", "url": "https://ollama.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DIaraR1MjLZ", "url": "https://www.instagram.com/p/DIaraR1MjLZ/", "title": "Qwen 2.5 Max, Wan 2.1, Lumina 2 — China's open-source trio", "summary": "@nick_saraev walks through three open-source Chinese AI models: Qwen 2.5 Max (chat/code/search/image/video), Wan 2.1 (open-source video gen), and Lumina 2 (photoreal image gen). All free, all downloadable.", "creator": "@nick_saraev", "collection": "ai1", "date": "April 13, 2025", "type": "news", "tier": "A", "audience": "intermediate", "domains": [ "llm" ], "tools": [ "ChatGPT", "DeepSeek", "Midjourney", "Qwen" ], "repos": [], "models": [ "Qwen 2.5 Max", "DeepSeek" ], "techniques": [], "takeaways": [], "links": [ { "label": "ChatGPT", "url": "https://chat.openai.com" }, { "label": "Midjourney", "url": "https://midjourney.com" } ], "deep_dive": "qwen-2-5-max", "has_guide": false }, { "id": "DIcw6N6snq1", "url": "https://www.instagram.com/p/DIcw6N6snq1/", "title": "Hunyuan3D-2 — Tencent's free image-to-3D model generator", "summary": "Tencent's Hunyuan3D-2 turns text or an uploaded image into textured 3D models in seconds. Free web UI; pipeline is upload > Generate Shape > Generate Textured Shape > download. Good for game/app asset workflows.", "creator": "@nick_saraev", "collection": "ai1", "date": "April 14, 2025", "type": "tool", "tier": "S", "audience": "intermediate", "domains": [ "3d", "image-gen" ], "tools": [ "Hunyuan3D-2", "Tencent" ], "repos": [ "Tencent-Hunyuan/Hunyuan3D-2" ], "models": [ "Hunyuan3D-2" ], "techniques": [], "takeaways": [ "Pair with HY-Motion for full text->3D->motion pipeline" ], "links": [ { "label": "github.com/Tencent-Hunyuan/Hunyuan3D-2", "url": "https://github.com/Tencent-Hunyuan/Hunyuan3D-2" } ], "deep_dive": "hunyuan3d-2", "has_guide": true }, { "id": "DIe7QoQCong", "url": "https://www.instagram.com/p/DIe7QoQCong/", "title": "Google's comprehensive prompt engineering guide — PDF recap", "summary": "@aitoolhub.co reshares @robonuggets's recap of Google's own prompt engineering guide, pitched as the most comprehensive from a major lab. 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Original post by @ailevels; rest of caption is AI-field boilerplate.", "creator": "@runwayapp", "collection": "ai1", "date": "September 15, 2024", "type": "tool", "tier": "A", "audience": "intermediate", "domains": [ "video" ], "tools": [ "Runway Gen-3", "GPT-4" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": "runway-gen-3-alpha", "has_guide": false }, { "id": "C_iwddVPU0G", "url": "https://www.instagram.com/p/C_iwddVPU0G/", "title": "Claude 3.5 Sonnet — build an app in minutes (Shawn Kanungo demo)", "summary": "@ainewscentral reshare of @shawnkanungo's viral 'build an app in minutes with Claude 3.5' demo. Early Claude vibe-coding showcase.", "creator": "@ainewscentral", "collection": "ai1", "date": "September 5, 2024", "type": "demo", "tier": "B", "audience": "intermediate", "domains": [ "llm" ], "tools": [ "ChatGPT", "Claude" ], "repos": [], "models": [ "Claude 3.5 Sonnet" ], "techniques": [], "takeaways": [], "links": [ { "label": "ChatGPT", "url": "https://chat.openai.com" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "C9ybM2DSduy", "url": "https://www.instagram.com/p/C9ybM2DSduy/", "title": "Llama 3.1 — 8B / 70B / 405B open-source release", "summary": "@only_agis_ recap of the Llama 3.1 launch: 8B, 70B, and 405B open weights, topping evals at the time. Reference point for 'when open-source caught frontier'.", "creator": "@only_agis_", "collection": "ai1", "date": "July 23, 2024", "type": "news", "tier": "A", "audience": "intermediate", "domains": [ "llm" ], "tools": [ "Llama", "Meta" ], "repos": [], "models": [ "Llama 3.1" ], "techniques": [], "takeaways": [], "links": [], "deep_dive": "llama-3-1-release", "has_guide": false }, { "id": "C9HMGeJy_2u", "url": "https://www.instagram.com/p/C9HMGeJy_2u/", "title": "5 ChatGPT learning prompts — 80/20, intern mode, skill plan", "summary": "@yourchatgptguide's list of 5 stock prompts: Pareto learning, report-writing intern, 30-day skill plan, summarize-to-bullets, self-prompt generator. Decent template bank for study/research workflows.", "creator": "@yourchatgptguide", "collection": "ai1", "date": "July 7, 2024", "type": "tutorial", "tier": "C", "audience": "beginner", "domains": [ "prompt-eng" ], "tools": [ "ChatGPT" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "ChatGPT", "url": "https://chat.openai.com" } ], "deep_dive": null, "has_guide": false }, { "id": "C-fG2CdtQvH", "url": "https://www.instagram.com/p/C-fG2CdtQvH/", "title": "Pathfinding algorithms explained — brute force vs flood fill", "summary": "@sanctity.ai reshare of a Veritasium clip explaining pathfinding (brute force, flood fill, backtracking) using a mouse-in-maze analogy. Teaching reference.", "creator": "@sanctity.ai", "collection": "ai1", "date": "August 10, 2024", "type": "tutorial", "tier": "B", "audience": "intermediate", "domains": [ "data" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "sanctity.ai", "url": "https://sanctity.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "C9D08WCABiu", "url": "https://www.instagram.com/p/C9D08WCABiu/", "title": "websim.ai — hallucinated websites as an AI tool demo", "summary": "@ecomera shows off @websim_ai, the hallucinated-website generator, with the 'worst version these tools will ever be' framing. Pointer to websim as a curiosity.", "creator": "@ecomera", "collection": "ai1", "date": "July 5, 2024", "type": "tool", "tier": "A", "audience": "intermediate", "domains": [ "web", "nocode" ], "tools": [ "Websim.ai" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": "websim-ai", "has_guide": false }, { "id": "C9F2Tx_iii0", "url": "https://www.instagram.com/p/C9F2Tx_iii0/", "title": "Striking-distance keywords — GSC SEO tactic (positions 6-11)", "summary": "@edward.builds SEO tactic: in Google Search Console, filter for keywords ranking at positions 6-11, add a few sentences of relevant copy to the page, often jumps to page 1. Concrete, low-effort SEO play.", "creator": "@edward.builds", "collection": "ai1", "date": "July 6, 2024", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "web" ], "tools": [ "Google Search Console", "Google" ], "repos": [], "models": [], "techniques": [ "striking-distance keywords" ], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "C84vchvppua", "url": "https://www.instagram.com/p/C84vchvppua/", "title": "TensorBoard embedding projector — visualize high-dim vectors", "summary": "@rajistics repost flagging TensorBoard's embedding projector as a quick way to visualize high-dimensional embeddings in 2D/3D. One-liner pointer.", "creator": "@rajistics", "collection": "ai1", "date": "July 1, 2024", "type": "tool", "tier": "A", "audience": "intermediate", "domains": [ "data" ], "tools": [ "TensorBoard Projector" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "C9Ai2ERKUHd", "url": "https://www.instagram.com/p/C9Ai2ERKUHd/", "title": "Runway Gen-3 — first results from the public release", "summary": "@benkaluza one-liner reaction to Runway's Gen-3 public release with sample output. Time capsule for Gen-3 launch.", "creator": "@benkaluza", "collection": "ai1", "date": "July 4, 2024", "type": "news", "tier": "A", "audience": "intermediate", "domains": [ "video" ], "tools": [ "Runway Gen-3" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "C91jKVfxtG1", "url": "https://www.instagram.com/p/C91jKVfxtG1/", "title": "Kling AI — free international rollout of text-to-video", "summary": "@mattfarmerai news beat on Kling AI going international with free video generation. Reference for when Kling became accessible outside China.", "creator": "@mattfarmerai", "collection": "ai1", "date": "July 25, 2024", "type": "news", "tier": "A", "audience": "intermediate", "domains": [ "video" ], "tools": [ "Kling", "OpenAI" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Kling", "url": "https://klingai.com" }, { "label": "OpenAI", "url": "https://openai.com" } ], "deep_dive": null, "has_guide": false }, { "id": "C8_7jdUssQH", "url": "https://www.instagram.com/p/C8_7jdUssQH/", "title": "BopIt.app — 72-hour Claude 3.5 Sonnet vibe-coded launch", "summary": "@sebastian_volkis built and shipped BopIt.app in 72 hours using Claude 3.5 Sonnet, pulling 42K views and hundreds of users in 12 hours. Early case study of solo Claude-built launches.", "creator": "@sebastian_volkis", "collection": "ai1", "date": "July 4, 2024", "type": "demo", "tier": "B", "audience": "intermediate", "domains": [ "llm" ], "tools": [ "Claude" ], "repos": [], "models": [ "Claude 3.5 Sonnet" ], "techniques": [], "takeaways": [], "links": [ { "label": "bopit.app", "url": "https://bopit.app" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "C7AUmaYS_tc", "url": "https://www.instagram.com/p/C7AUmaYS_tc/", "title": "Veo — Google's text/image/video-to-video model (Google I/O)", "summary": "Official @google reel introducing Veo at Google I/O: high-def video generation from text, image, and video prompts. Reference for Veo launch.", "creator": "@google", "collection": "ai1", "date": "May 15, 2024", "type": "news", "tier": "A", "audience": "intermediate", "domains": [ "video" ], "tools": [ "Veo" ], "repos": [], "models": [ "Veo" ], "techniques": [], "takeaways": [], "links": [], "deep_dive": "google-veo", "has_guide": false }, { "id": "C6JRjOVAOf-", "url": "https://www.instagram.com/p/C6JRjOVAOf-/", "title": "AI-styled QR codes — generate codes that look like images", "summary": "@setupspawn demos a tool where you supply a URL or QR + a prompt and it generates a QR code stylized as an image, still scannable. Creative-marketing technique.", "creator": "@setupspawn", "collection": "ai1", "date": "April 24, 2024", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "image-gen", "art" ], "tools": [], "repos": [], "models": [], "techniques": [ "ControlNet QR conditioning" ], "takeaways": [], "links": [], "deep_dive": "stable-diffusion-qr-art", "has_guide": false }, { "id": "C5-TsxEpeFk", "url": "https://www.instagram.com/p/C5-TsxEpeFk/", "title": "Scraping SAM.gov — puppeteer + AI for government data", "summary": "@itsmikepowers on scraping US government (SAM.gov-style) data with Puppeteer and AI automation. Thin on specifics but worth remembering for gov-contract data workflows.", "creator": "@itsmikepowers", "collection": "ai1", "date": "April 19, 2024", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "automation", "data" ], "tools": [ "Puppeteer" ], "repos": [], "models": [], "techniques": [ "web scraping" ], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "C37og6YN7TK", "url": "https://www.instagram.com/p/C37og6YN7TK/", "title": "Blackbox AI — coding assistant as 'Google search for code'", "summary": "@codewithclaude pitches blackbox.ai as his classroom coding assistant to bypass no-ChatGPT rules. Reference point for the Blackbox AI coding tool.", "creator": "@codewithclaude", "collection": "ai1", "date": "February 29, 2024", "type": "tool", "tier": "C", "audience": "intermediate", "domains": [], "tools": [ "Blackbox.ai", "ChatGPT", "Google", "VSCode" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "blackbox.ai", "url": "https://blackbox.ai" }, { "label": "www.blackbox.ai", "url": "https://www.blackbox.ai" }, { "label": "ChatGPT", "url": "https://chat.openai.com" } ], "deep_dive": null, "has_guide": false }, { "id": "C5010-Kh1Mv", "url": "https://www.instagram.com/p/C5010-Kh1Mv/", "title": "Sketch-to-3D-anim pipeline — Procreate + Magnific + 3DAI + Move AI", "summary": "Director Jon Finger's pipeline: Procreate sketches -> Magnific AI style transfer -> 3DAI Studio for 3D models -> Move AI for mocap -> Cinema 4D for render. Concrete multi-tool AI animation workflow.", "creator": "@chatgptricks", "collection": "ai1", "date": "April 16, 2024", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "art", "3d", "video" ], "tools": [ "Procreate", "Magnific AI", "3DAI Studio", "Move AI", "ChatGPT" ], "repos": [], "models": [], "techniques": [ "style transfer", "sketch-to-3D", "markerless mocap" ], "takeaways": [], "links": [ { "label": "ChatGPT", "url": "https://chat.openai.com" } ], "deep_dive": "sketch-to-animated-character-pipeline", "has_guide": false }, { "id": "CvzwEm0uOSc", "url": "https://www.instagram.com/p/CvzwEm0uOSc/", "title": "Midjourney architectural sketch-in-context technique", "summary": "@design.input experimenting with Midjourney 'sketch in context' to fill in city facade lines on conceptual architectural sketches. Reference for arch/viz AI workflows.", "creator": "@design.input", "collection": "ai1", "date": "August 11, 2023", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "design", "image-gen", "art" ], "tools": [ "Midjourney" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Midjourney", "url": "https://midjourney.com" } ], "deep_dive": null, "has_guide": false }, { "id": "DVQ5o6YDfsp", "url": "https://www.instagram.com/p/DVQ5o6YDfsp/", "title": "Boris Cherny's Claude Code workflow — parallel worktrees + plan mode", "summary": "@evolving.ai summarizes Boris Cherny's X thread on how the Anthropic team actually uses Claude Code: 3-5 git worktrees in parallel, start every complex task in plan mode, update rules after every mistake, build reusable skills and subagents.", "creator": "@evolving.ai", "collection": "ai2", "date": "February 26, 2026", "type": "technique", "tier": "S", "audience": "intermediate", "domains": [ "agents", "llm" ], "tools": [ "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [ "parallel git worktrees", "subagent orchestration" ], "takeaways": [ "Adopt 3-5 parallel worktrees per feature as default Claude Code workflow", "This matches Victor's dispatching-parallel-agents skill" ], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" }, { "label": "evolving.ai", "url": "https://evolving.ai" } ], "deep_dive": "claude-code-parallel-worktrees", "has_guide": true }, { "id": "DURb7uHl1fn", "url": "https://www.instagram.com/p/DURb7uHl1fn/", "title": "Bash reference manual mirror — unexpected location easter egg", "summary": "@yousuckatprogramming flags that an alternative mirror of the bash reference manual shows up in an unexpected place. Meme-ish but useful bash-doc pointer.", "creator": "@yousuckatprogramming", "collection": "ai2", "date": "February 2, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DVKJlJYEsmm", "url": "https://www.instagram.com/p/DVKJlJYEsmm/", "title": "Anthropic blocks Claude Max subscription tokens in 3rd-party tools", "summary": "@tech.unicorn on Anthropic killing subscription-token access in third-party tools (Jan 9 ToS change), spiking effective cost from $200/mo to $500-$2000/mo on API. Suggests multi-model routers (DeepSeek/Gemini/Llama/GPT-4o) as the mitigation.", "creator": "@tech.unicorn", "collection": "ai2", "date": "February 24, 2026", "type": "news", "tier": "A", "audience": "intermediate", "domains": [ "agents", "automation" ], "tools": [ "Claude Max", "Open Claw", "Anthropic", "Claude", "DeepSeek", "Gemini", "Llama", "Notion" ], "repos": [], "models": [], "techniques": [], "takeaways": [ "Subscription-token automation is TOS-risky; use API keys for production agents" ], "links": [ { "label": "Anthropic", "url": "https://anthropic.com" }, { "label": "Claude", "url": "https://claude.ai" }, { "label": "Gemini", "url": "https://gemini.google.com" }, { "label": "Notion", "url": "https://notion.so" } ], "deep_dive": "open-claw-claude-automation", "has_guide": false }, { "id": "DVoReJNCGxT", "url": "https://www.instagram.com/p/DVoReJNCGxT/", "title": "DATA CONTROL — Kinect + TouchDesigner + Unreal scientific viz", "summary": "@pala3d's 'DATA CONTROL' project: real-time visualization of NASA/CERN datasets as particle systems, body-controlled via Kinect through TouchDesigner into Unreal Engine. Pipeline explicitly human-made, no AI. Reference for data-viz/creative-coding stack.", "creator": "@pala3d", "collection": "ai2", "date": "March 8, 2026", "type": "demo", "tier": "A", "audience": "intermediate", "domains": [ "creative-coding", "3d", "data" ], "tools": [ "Kinect", "TouchDesigner", "Unreal Engine" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "TouchDesigner", "url": "https://derivative.ca" } ], "deep_dive": "scientific-data-touchdesigner-viz", "has_guide": false }, { "id": "DV6QY8QjoRW", "url": "https://www.instagram.com/p/DV6QY8QjoRW/", "title": "Boris Cherny's personal CLAUDE.md — plan-first, self-improving rules", "summary": "@keshavsuki dissects Boris Cherny's (Anthropic) personal CLAUDE.md: plan-first, subagents for complex work, self-improving lessons.md loop, hard verification standard, elegance demand, autonomous bug fixing, git discipline. High-signal template for CLAUDE.md design.", "creator": "@keshavsuki", "collection": "ai2", "date": "March 15, 2026", "type": "technique", "tier": "S", "audience": "intermediate", "domains": [ "agents", "llm" ], "tools": [ "Claude Code", "Anthropic", "Claude" ], "repos": [], "models": [], "techniques": [ "CLAUDE.md authoring", "subagent offloading" ], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Anthropic", "url": "https://anthropic.com" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": "boris-cherny-claude-md", "has_guide": true }, { "id": "DV3fvORksud", "url": "https://www.instagram.com/p/DV3fvORksud/", "title": "Claude Code dashboard — have Claude set up its own status UI", "summary": "@toddybuilds tip: if Claude feels overwhelming, ask Claude to generate a dashboard that summarizes what it's doing. Light but useful meta-prompt idea.", "creator": "@toddybuilds", "collection": "ai2", "date": "March 14, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DVuULwWjApN", "url": "https://www.instagram.com/p/DVuULwWjApN/", "title": "Open-source geopolitics terminal — OSINT feeds + AI instability scores", "summary": "@brahada_irl teasing a newly open-sourced 'Bloomberg Terminal for geopolitics': real-time global map with military flights/ships, OSINT news scanning across 100+ sources, automated instability scores, dark-ship detection, prediction-market signals. Comment-gated link.", "creator": "@brahada_irl", "collection": "ai2", "date": "March 10, 2026", "type": "tool", "tier": "C", "audience": "intermediate", "domains": [ "data", "agents" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [ "Adjacent to Horus-Eye (ai4#56) — both are AI OSINT dashboards" ], "links": [], "deep_dive": "open-source-geopolitics-terminal", "has_guide": false }, { "id": "DVzvsgijOLT", "url": "https://www.instagram.com/p/DVzvsgijOLT/", "title": "primer.md + memory.sh — live-updating CLAUDE.md companion", "summary": "@keshavsuki on fixing CLAUDE.md staleness: add a primer.md that Claude rewrites at end of every session (current state, next step, blockers), plus a memory.sh launch hook that injects last 5 commits and modified files, plus a git hook logging commits. Four-layer always-current context.", "creator": "@keshavsuki", "collection": "ai2", "date": "March 12, 2026", "type": "technique", "tier": "S", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [ "primer.md live session state", "end-of-session hook" ], "takeaways": [ "Add primer.md + end-of-session rewrite rule to Victor's Claude Code projects" ], "links": [ { "label": "memory.sh", "url": "https://memory.sh" }, { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": "primer-md-pattern", "has_guide": true }, { "id": "DVmBYgnDzp2", "url": "https://www.instagram.com/p/DVmBYgnDzp2/", "title": "Claude Code + NotebookLM integration setup", "summary": "@stevearnesonofficial teaser: setup guide for wiring Claude Code into NotebookLM. Comment-gated, content itself thin — note only.", "creator": "@stevearnesonofficial", "collection": "ai2", "date": "March 7, 2026", "type": "technique", "tier": "C", "audience": "intermediate", "domains": [ "agents", "rag" ], "tools": [ "Claude Code", "NotebookLM" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "NotebookLM", "url": "https://notebooklm.google.com" } ], "deep_dive": "claude-notebooklm-integration", "has_guide": false }, { "id": "DVfZdeqDvyl", "url": "https://www.instagram.com/p/DVfZdeqDvyl/", "title": "iOS Shortcut -> Claude — text a task, phone runs it automatically", "summary": "@techtiff.ai sets up an iOS Shortcut that lets you text a task to Claude and have the phone execute it. Light on details but a good pointer for mobile -> Claude workflow.", "creator": "@techtiff.ai", "collection": "ai2", "date": "March 4, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "agents", "mobile" ], "tools": [ "Claude Code", "iOS Shortcuts", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" }, { "label": "techtiff.ai", "url": "https://techtiff.ai" } ], "deep_dive": "ios-shortcut-claude-bridge", "has_guide": false }, { "id": "DVbL-pREaBi", "url": "https://www.instagram.com/p/DVbL-pREaBi/", "title": "Greg Isenberg — how to design stunning AI apps (not vibe-coded ugly)", "summary": "@gregisenberg teaser on designing polished AI apps rather than the 'vibe-coded slop' default. Caption is thin; content lives in the video.", "creator": "@gregisenberg", "collection": "ai2", "date": "March 3, 2026", "type": "tutorial", "tier": "B", "audience": "intermediate", "domains": [ "design", "agents" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DVRnpZsj21m", "url": "https://www.instagram.com/p/DVRnpZsj21m/", "title": "CLAUDE.md explained — vibe-coding primer", "summary": "@soojintech short explainer on what CLAUDE.md is and why it '10x's work in Claude Code. Intro-level reference.", "creator": "@soojintech", "collection": "ai2", "date": "February 27, 2026", "type": "tutorial", "tier": "A", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DVbfcdTkZ7R", "url": "https://www.instagram.com/p/DVbfcdTkZ7R/", "title": "Claude Code design uplevel — 3 systems for better UI output", "summary": "@jens.heitmann: three Claude Code 'systems' to unlock design quality in CC projects. Teaser for the techniques; useful as a pointer to Jens's CC design content.", "creator": "@jens.heitmann", "collection": "ai2", "date": "March 3, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "design", "agents" ], "tools": [ "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DToMeKHjuQk", "url": "https://www.instagram.com/p/DToMeKHjuQk/", "title": "Claude Code + Chrome — browser-driven coding combo", "summary": "@casey.aicreates flags the combination of Claude Code and Chrome (likely Chrome DevTools MCP or browser automation) as a big time-saver. Caption is thin; the pointer is the combo itself.", "creator": "@casey.aicreates", "collection": "ai2", "date": "January 17, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "agents", "automation" ], "tools": [ "Claude Code", "Chrome", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DU5Wjs2DbWS", "url": "https://www.instagram.com/p/DU5Wjs2DbWS/", "title": "Claude Opus 4.6 — McKinsey-style research prompts (TAM/SWOT/CAC)", "summary": "@evolving.ai on using Opus 4.6 as a structured consultant: prompt templates for TAM sizing, competitive landscape, unit economics (CAC/LTV), combined SWOT/risk briefs. Framed as 'replaces $5K consultant work'.", "creator": "@evolving.ai", "collection": "ai2", "date": "February 18, 2026", "type": "tutorial", "tier": "A", "audience": "intermediate", "domains": [ "llm", "prompt-eng", "data" ], "tools": [ "Claude" ], "repos": [], "models": [ "Claude Opus 4.6" ], "techniques": [ "market research prompting" ], "takeaways": [], "links": [ { "label": "Claude", "url": "https://claude.ai" }, { "label": "evolving.ai", "url": "https://evolving.ai" } ], "deep_dive": "claude-market-research-prompts", "has_guide": false }, { "id": "DUzg0n1jRK-", "url": "https://www.instagram.com/p/DUzg0n1jRK-/", "title": "7 must-install Claude Code repos — Obsidian Skills, n8n-MCP, Superpowers", "summary": "@chase.h.ai lists 7 Claude Code repos with GitHub links: kepano/obsidian-skills, czlonkowski/n8n-mcp, nextlevelbuilder/ui-ux-pro-max-skill, thedotmack/claude-mem, glittercowboy/get-shit-done, hesreallyhim/awesome-claude-code, obra/superpowers. High-signal resource dump.", "creator": "@chase.h.ai", "collection": "ai2", "date": "February 15, 2026", "type": "repo", "tier": "S", "audience": "intermediate", "domains": [ "agents", "automation" ], "tools": [ "Claude Code", "Obsidian", "n8n", "Claude", "MCP", "czlonkowski/n8n-mcp", "glittercowboy/get-shit-done", "hesreallyhim/awesome-claude-code", "kepano/obsidian-skills", "nextlevelbuilder/ui-ux-pro-max-skill", "obra/superpowers", "thedotmack/claude-mem" ], "repos": [ "kepano/obsidian-skills", "czlonkowski/n8n-mcp", "nextlevelbuilder/ui-ux-pro-max-skill", "thedotmack/claude-mem", "glittercowboy/get-shit-done", "hesreallyhim/awesome-claude-code", "obra/superpowers" ], "models": [], "techniques": [], "takeaways": [ "Install n8n-MCP for Claude-driven n8n workflows", "Install obsidian-skills for vault-as-second-brain" ], "links": [ { "label": "github.com", "url": "https://github.com" }, { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Obsidian", "url": "https://obsidian.md" }, { "label": "n8n", "url": "https://n8n.io" }, { "label": "Claude", "url": "https://claude.ai" }, { "label": "github.com/kepano/obsidian-skills", "url": "https://github.com/kepano/obsidian-skills" }, { "label": "github.com/czlonkowski/n8n-mcp", "url": "https://github.com/czlonkowski/n8n-mcp" }, { "label": "github.com/nextlevelbuilder/ui-ux-pro-max-skill", "url": "https://github.com/nextlevelbuilder/ui-ux-pro-max-skill" }, { "label": "github.com/thedotmack/claude-mem", "url": "https://github.com/thedotmack/claude-mem" }, { "label": "github.com/glittercowboy/get-shit-done", "url": "https://github.com/glittercowboy/get-shit-done" }, { "label": "github.com/hesreallyhim/awesome-claude-code", "url": "https://github.com/hesreallyhim/awesome-claude-code" }, { "label": "github.com/obra/superpowers", "url": "https://github.com/obra/superpowers" }, { "label": "chase.h.ai", "url": "https://chase.h.ai" } ], "deep_dive": "n8n-mcp-and-obsidian-skills", "has_guide": true }, { "id": "DVMmXlME6mZ", "url": "https://www.instagram.com/p/DVMmXlME6mZ/", "title": "Boris Cherny — 10-15 parallel Claude sessions + evolving CLAUDE.md", "summary": "@mindwired.ai summary of Boris Cherny's workflow: 10-15 Claude sessions in parallel across terminal and web, CLAUDE.md continuously updated after mistakes as reusable guardrails, Claude-CLI for data queries. Notes Claude Code's share of public GitHub activity.", "creator": "@mindwired.ai", "collection": "ai2", "date": "February 25, 2026", "type": "technique", "tier": "S", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Anthropic", "Claude" ], "repos": [], "models": [], "techniques": [ "parallel sessions", "rule-ratchet CLAUDE.md" ], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Anthropic", "url": "https://anthropic.com" }, { "label": "Claude", "url": "https://claude.ai" }, { "label": "mindwired.ai", "url": "https://mindwired.ai" } ], "deep_dive": "claude-code-parallel-worktrees", "has_guide": true }, { "id": "DWzz7T9Ddex", "url": "https://www.instagram.com/p/DWzz7T9Ddex/", "title": "Polymarket weather edge — dorm weather station, $100K+ traded", "summary": "@insidesteal profile of a student generating $100K+ on Polymarket weather contracts using a dorm-built weather station and localized data asymmetry. Reference for prediction-market quant plays built on proprietary data.", "creator": "@insidesteal", "collection": "ai4", "date": "April 6, 2026", "type": "inspiration", "tier": "S", "audience": "intermediate", "domains": [ "trading", "data" ], "tools": [ "Polymarket" ], "repos": [], "models": [], "techniques": [ "weather prediction markets", "event-based forecasting" ], "takeaways": [ "Real edge on Polymarket = exclusive real-time data source, not better ML" ], "links": [ { "label": "Polymarket", "url": "https://polymarket.com" } ], "deep_dive": "polymarket-weather-trading", "has_guide": true }, { "id": "DW1gLxPCGUW", "url": "https://www.instagram.com/p/DW1gLxPCGUW/", "title": "Claude Code rate-limit workarounds — Nate Herkai's tips", "summary": "@nateherkai teaser for a YouTube breakdown of his best tips for hitting and managing Claude Code usage limits. Real content lives on YouTube.", "creator": "@nateherkai", "collection": "ai4", "date": "April 7, 2026", "type": "tutorial", "tier": "A", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DWyX5nQkR5a", "url": "https://www.instagram.com/p/DWyX5nQkR5a/", "title": "Turboquant — memory backend for Claude/Open Claw AI stores", "summary": "@eddynthings quick plug for Turboquant as a memory store helping his AI agent remember more. Thin on specifics but worth noting Turboquant as a memory tool.", "creator": "@eddynthings", "collection": "ai4", "date": "April 6, 2026", "type": "tool", "tier": "A", "audience": "intermediate", "domains": [ "agents", "data" ], "tools": [ "Turboquant", "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": "turboquant-memory-layer", "has_guide": false }, { "id": "DWEfIS9jRgI", "url": "https://www.instagram.com/p/DWEfIS9jRgI/", "title": "Polymarket 99c limit-order edge — 75 automated trades/hour", "summary": "@beinginvested on a Polymarket trader placing limit orders on outcomes already closing at 99c, automated at 75 trades/hour, 4 months to crack it. Teaser with DM-gated full breakdown; worth remembering the pattern.", "creator": "@beinginvested", "collection": "ai4", "date": "March 19, 2026", "type": "technique", "tier": "S", "audience": "intermediate", "domains": [ "trading", "automation" ], "tools": [ "Polymarket" ], "repos": [], "models": [], "techniques": [ "limit order harvesting", "late-resolution arbitrage" ], "takeaways": [ "Test late-contract 99c limit harvesting as a low-variance income strategy" ], "links": [ { "label": "Polymarket", "url": "https://polymarket.com" } ], "deep_dive": "polymarket-99c-limit-arbitrage", "has_guide": true }, { "id": "DWxmSwTDFk2", "url": "https://www.instagram.com/p/DWxmSwTDFk2/", "title": "llms.txt — get ChatGPT to recommend your local business", "summary": "@brycenwood.ai got ChatGPT to recommend his vehicle-wrap shop via an llms.txt file (built in 5min with Claude Code) describing business, location, value prop. Early GEO (generative engine optimization) tactic.", "creator": "@brycenwood.ai", "collection": "ai4", "date": "April 5, 2026", "type": "technique", "tier": "S", "audience": "intermediate", "domains": [ "web", "llm", "prompt-eng" ], "tools": [ "Claude Code", "ChatGPT", "Claude" ], "repos": [], "models": [], "techniques": [ "llms.txt", "LLM-SEO / GEO" ], "takeaways": [ "Ship llms.txt on every Victor project to become LLM-discoverable" ], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "ChatGPT", "url": "https://chat.openai.com" }, { "label": "Claude", "url": "https://claude.ai" }, { "label": "brycenwood.ai", "url": "https://brycenwood.ai" } ], "deep_dive": "llms-txt-standard", "has_guide": true }, { "id": "DVndfhOE7A9", "url": "https://www.instagram.com/p/DVndfhOE7A9/", "title": "Shepherd dog flock simulation — pressure-field + boids rules", "summary": "@simulateitnow explains a flock-herding simulation combining a pressure-field force F=(1-d/R)^1.2 with classic boids (cohesion/alignment/separation). Great reference for swarm/multi-agent simulation math.", "creator": "@simulateitnow", "collection": "ai4", "date": "March 8, 2026", "type": "demo", "tier": "B", "audience": "intermediate", "domains": [ "creative-coding", "data" ], "tools": [ "Arc" ], "repos": [ "simulateitnow.com" ], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "simulateitnow.com", "url": "https://simulateitnow.com" } ], "deep_dive": null, "has_guide": false }, { "id": "DWzHY9lkSZS", "url": "https://www.instagram.com/p/DWzHY9lkSZS/", "title": "Custom cloud memory/'brains' for LLMs — Angus Sewell take", "summary": "@angus.sewell argues that most people are still running local memory stacks and that custom cloud-based LLM 'brains' are about to become a big category. Directional take, no specific tool.", "creator": "@angus.sewell", "collection": "ai4", "date": "April 6, 2026", "type": "news", "tier": "B", "audience": "intermediate", "domains": [ "llm", "agents" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWiFum7j-cS", "url": "https://www.instagram.com/p/DWiFum7j-cS/", "title": "Quant alpha discovery primer — Kalman filters, stat arb, XGBoost", "summary": "@sorhan.hq profile of Guangting Yu (applied math PhD, published NeurIPS). Lists the alpha-hunting toolkit: statistical arbitrage, Fama-French factors, Kalman filters, mean reversion, momentum, XGBoost/NNs. Plus covariance formula. Good intro-level quant reference.", "creator": "@sorhan.hq", "collection": "ai4", "date": "March 30, 2026", "type": "tutorial", "tier": "A", "audience": "intermediate", "domains": [ "trading", "data" ], "tools": [], "repos": [], "models": [], "techniques": [ "Kalman filters", "statistical arbitrage", "Fama-French factors" ], "takeaways": [], "links": [], "deep_dive": "kalman-filter-alpha-discovery", "has_guide": false }, { "id": "DUI845-k3WR", "url": "https://www.instagram.com/p/DUI845-k3WR/", "title": "Ornstein-Uhlenbeck mean-reversion visualized — theta/mu/sigma", "summary": "@quant.traderr visualization of the OU process for mean reversion (vol, rates, pairs-trade spreads) with a probability cloud and live path. DM-gated Python repo for tuning theta/mu/sigma.", "creator": "@quant.traderr", "collection": "ai4", "date": "January 30, 2026", "type": "tutorial", "tier": "A", "audience": "intermediate", "domains": [ "trading", "data" ], "tools": [], "repos": [], "models": [], "techniques": [ "Ornstein-Uhlenbeck process", "mean reversion", "pairs trading" ], "takeaways": [], "links": [], "deep_dive": "ornstein-uhlenbeck-mean-reversion", "has_guide": false }, { "id": "DWuoMrQEc-f", "url": "https://www.instagram.com/p/DWuoMrQEc-f/", "title": "Kimi K2 — keeps up with Claude on web app generation", "summary": "@lizthedeveloper: quick test confirming Moonshot's Kimi K2 is competitive with Claude for building web apps. Signal that Kimi K2 is worth adding to the coding-model rotation.", "creator": "@lizthedeveloper", "collection": "ai4", "date": "April 4, 2026", "type": "news", "tier": "A", "audience": "intermediate", "domains": [ "llm" ], "tools": [ "Claude", "Kimi" ], "repos": [], "models": [ "Kimi K2", "Claude" ], "techniques": [], "takeaways": [], "links": [ { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": "kimi-k2-coding-benchmarks", "has_guide": false }, { "id": "DWtgbzLDgwm", "url": "https://www.instagram.com/p/DWtgbzLDgwm/", "title": "Onyx — open-source self-hosted agentic RAG platform", "summary": "@marc.kaz flags onyx-dot-app/onyx hitting #1 GitHub trending: self-hostable AI platform with agentic RAG, deep research mode, custom agents, web+code execution, voice/image gen, 50+ connectors. Strong self-hosted AI stack option.", "creator": "@marc.kaz", "collection": "ai4", "date": "April 4, 2026", "type": "repo", "tier": "S", "audience": "intermediate", "domains": [ "agents", "rag", "llm" ], "tools": [ "RAG", "onyx-dot-app/onyx" ], "repos": [ "onyx-dot-app/onyx" ], "models": [], "techniques": [], "takeaways": [ "Clone and evaluate as self-hosted Claude/ChatGPT replacement", "50+ connectors = instant data-source integration" ], "links": [ { "label": "github.com/onyx-dot-app/onyx", "url": "https://github.com/onyx-dot-app/onyx" }, { "label": "github.com", "url": "https://github.com" } ], "deep_dive": "onyx-self-hosted-ai", "has_guide": true }, { "id": "DWqV5eAD7TR", "url": "https://www.instagram.com/p/DWqV5eAD7TR/", "title": "PromptOps Smart Action Detector — save tokens, run commands locally", "summary": "@shellonback on PromptOps' new detector: when a sub-agent is about to run a directly-executable command (npm run deploy/build/test), it suggests running in the terminal instead of sending to the LLM. Concrete anti-token-waste pattern.", "creator": "@shellonback", "collection": "ai4", "date": "April 3, 2026", "type": "technique", "tier": "B", "audience": "intermediate", "domains": [ "agents" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [ "Hard rule: never ask an LLM to run a command you could bash yourself" ], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWs66z3DyGA", "url": "https://www.instagram.com/p/DWs66z3DyGA/", "title": "Claude 'caveman' mode — token-saving terse-output skill", "summary": "@sourcetms made a 'caveman' Claude skill (from a Reddit post) that forces terse caveman-speak responses to save tokens. Meme-y but a legit compression technique for long sessions.", "creator": "@sourcetms", "collection": "ai4", "date": "April 4, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DVCBNQ8jCly", "url": "https://www.instagram.com/p/DVCBNQ8jCly/", "title": "Ant Colony Optimization sim — pheromone feedback + diffusion PDE", "summary": "@simulateitnow explains ACO / stigmergy with the diffusion-evaporation equation ∂τ/∂t = Δτ + D∇²τ - ρτ, showing how short paths win through faster pheromone reinforcement. Great visual reference for swarm optimization.", "creator": "@simulateitnow", "collection": "ai4", "date": "February 21, 2026", "type": "demo", "tier": "A", "audience": "intermediate", "domains": [ "creative-coding", "data" ], "tools": [], "repos": [], "models": [], "techniques": [ "ACO", "stigmergy" ], "takeaways": [], "links": [ { "label": "simulateitnow.com", "url": "https://simulateitnow.com" } ], "deep_dive": "ant-colony-optimization-sim", "has_guide": false }, { "id": "DWrQKaskWlZ", "url": "https://www.instagram.com/p/DWrQKaskWlZ/", "title": "NASA EONET — free real-time weather/event data API", "summary": "@softwarewithnick points at NASA's free real-time natural events data feed (EONET-style): wildfires, earthquakes, storms via satellite. Useful open data source for mapping/alerting projects.", "creator": "@softwarewithnick", "collection": "ai4", "date": "April 3, 2026", "type": "tool", "tier": "A", "audience": "intermediate", "domains": [ "data" ], "tools": [ "NASA EONET" ], "repos": [], "models": [], "techniques": [], "takeaways": [ "Free real-time disaster/weather feed — direct input for prediction market strategies" ], "links": [], "deep_dive": "nasa-eonet-feed", "has_guide": false }, { "id": "DWncXNCD07J", "url": "https://www.instagram.com/p/DWncXNCD07J/", "title": "5 must-install Claude MCP servers — @raycfu list", "summary": "@raycfu short list of 5 MCP servers worth installing in Claude. Caption is thin; value is using it as an MCP pointer to revisit in the video.", "creator": "@raycfu", "collection": "ai4", "date": "April 1, 2026", "type": "technique", "tier": "C", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Claude", "MCP" ], "repos": [], "models": [], "techniques": [ "MCP servers" ], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DWjr0x3Deom", "url": "https://www.instagram.com/p/DWjr0x3Deom/", "title": "Crypto dollar-neutral reversal — naive long/short, eaten by fees", "summary": "@avi_mukesh: simple reversal strategy on crypto (short if up, long if down), dollar-neutral scaling. Looks good without costs, transaction fees kill it. Honest starter example for learning backtesting caveats.", "creator": "@avi_mukesh", "collection": "ai4", "date": "March 31, 2026", "type": "technique", "tier": "B", "audience": "intermediate", "domains": [ "trading" ], "tools": [], "repos": [], "models": [], "techniques": [ "dollar-neutral reversal", "transaction cost analysis" ], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWoYMJDD6oO", "url": "https://www.instagram.com/p/DWoYMJDD6oO/", "title": "Claude Code 'brevity mandate' — leaked system prompt tradeoff", "summary": "@gojutechtalk on the leaked Claude Code system prompt's 'brevity mandate' rule that pushes CC to minimize code changes, which he argues leads to spaghetti-on-spaghetti fixes. Useful critique to remember.", "creator": "@gojutechtalk", "collection": "ai4", "date": "April 2, 2026", "type": "news", "tier": "S", "audience": "intermediate", "domains": [ "agents", "llm" ], "tools": [ "Claude Code", "Anthropic", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [ "Override brevity mandate in CLAUDE.md for code-quality critical projects" ], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Anthropic", "url": "https://anthropic.com" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": "claude-code-leaked-system-prompt", "has_guide": true }, { "id": "DWnHQs-jqr3", "url": "https://www.instagram.com/p/DWnHQs-jqr3/", "title": "STE.GG — open-source AI steganography toolkit (hide in anything)", "summary": "@marc.kaz on STE.GG: open-source steganography platform that hides payloads in images, audio, text, PDFs, packets, ZIPs, emojis. Built-in AI agent auto-tries 120+ LSB combinations, DCT, PVD, chroma, palette, etc. Both reveal and conceal modes.", "creator": "@marc.kaz", "collection": "ai4", "date": "April 1, 2026", "type": "tool", "tier": "A", "audience": "intermediate", "domains": [ "data", "automation" ], "tools": [], "repos": [ "STE.GG" ], "models": [], "techniques": [ "steganography" ], "takeaways": [], "links": [], "deep_dive": "ste-gg-steganography-toolkit", "has_guide": false }, { "id": "DTEncpgDoNv", "url": "https://www.instagram.com/p/DTEncpgDoNv/", "title": "AlgoExchange — 7-signal Nasdaq futures intraday momentum system", "summary": "@algoexchange walks through an intraday momentum system on Nasdaq futures: 7 independent momentum signals combined via a normalized linear risk function, exposure scaling with confirmations. Claims $35M+ live capital across variants. Commercial but mathematically explicit.", "creator": "@algoexchange", "collection": "ai4", "date": "January 3, 2026", "type": "demo", "tier": "B", "audience": "intermediate", "domains": [ "trading" ], "tools": [], "repos": [], "models": [], "techniques": [ "intraday momentum" ], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DUrQ187EvI4", "url": "https://www.instagram.com/p/DUrQ187EvI4/", "title": "Polymarket insider detection — websocket + data-feed signals", "summary": "@carsoncantcode on using Polymarket websockets and data feeds to identify insider-trade patterns (referencing a recent arrest). Technique pointer for prediction-market forensics.", "creator": "@carsoncantcode", "collection": "ai4", "date": "February 12, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "trading", "data" ], "tools": [ "Polymarket" ], "repos": [], "models": [], "techniques": [ "websocket orderflow monitoring", "insider detection" ], "takeaways": [], "links": [ { "label": "Polymarket", "url": "https://polymarket.com" } ], "deep_dive": "polymarket-websocket-insider-detection", "has_guide": false }, { "id": "DTlSNFUjJj0", "url": "https://www.instagram.com/p/DTlSNFUjJj0/", "title": "5 papers that built modern quant finance — Quant Guild", "summary": "@quantguild short pointing to their YouTube rundown 'The 5 Papers that Built Modern Quant Finance'. Pointer to the QG video and Discord for canonical quant reading list.", "creator": "@quantguild", "collection": "ai4", "date": "January 16, 2026", "type": "tutorial", "tier": "A", "audience": "intermediate", "domains": [ "trading" ], "tools": [], "repos": [ "quantguild.com" ], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "quantguild.com", "url": "https://quantguild.com" }, { "label": "discord.com", "url": "https://discord.com/invite/MJ4FU2c6c3" }, { "label": "discord.com", "url": "https://discord.com" } ], "deep_dive": "foundational-quant-finance-papers", "has_guide": false }, { "id": "DWER2wEiCIt", "url": "https://www.instagram.com/p/DWER2wEiCIt/", "title": "Edge-of-quant papers — relativity, fractals, biology in markets", "summary": "@mirkovicdev teases a list of unusual quant finance papers: relativity in option pricing, fractal/chaos vol modeling, biology affecting trading performance. DM-gated full list.", "creator": "@mirkovicdev", "collection": "ai4", "date": "March 19, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [ "trading" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWgum_yDjxi", "url": "https://www.instagram.com/p/DWgum_yDjxi/", "title": "Linux inside a 6MB PDF — RISC-V emulator embedded in a PDF", "summary": "@marc.kaz on a demo embedding a RISC-V emulator running Linux inside a standard 6MB PDF, runnable in a PDF reader. Cursed but real; good demo of PDF JS runtime abuse.", "creator": "@marc.kaz", "collection": "ai4", "date": "March 30, 2026", "type": "demo", "tier": "A", "audience": "intermediate", "domains": [ "hardware", "data" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": "linux-in-pdf-riscv", "has_guide": false }, { "id": "DVwpXdSCMxu", "url": "https://www.instagram.com/p/DVwpXdSCMxu/", "title": "What elite quant funds actually hire for — 5 traits", "summary": "@heidioftheeast lists what top funds screen for: obsessive original GitHub work, Math Olympiad / competition medals (~45% of hires), public-failure resilience, self-directed problem solving, being memorable in interview. High-signal hiring lens.", "creator": "@heidioftheeast", "collection": "ai4", "date": "March 11, 2026", "type": "tutorial", "tier": "B", "audience": "intermediate", "domains": [ "trading" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DV2_BYWCO5s", "url": "https://www.instagram.com/p/DV2_BYWCO5s/", "title": "5 starter quant research papers — Value/Momentum, order book, RL", "summary": "@heidioftheeast: 5 papers to start with — 'Value and Momentum Everywhere', cross-validated covariance estimation, deep-learning sizing on Eurodollar futures, 'The Price Impact of Order Book Events', AI-driven OTC liquidity provision. Concrete reading list.", "creator": "@heidioftheeast", "collection": "ai4", "date": "March 14, 2026", "type": "tutorial", "tier": "A", "audience": "intermediate", "domains": [ "trading" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": "heidi-quant-papers-list", "has_guide": false }, { "id": "DTZyMVPiHM5", "url": "https://www.instagram.com/p/DTZyMVPiHM5/", "title": "10 non-cliche quant research projects — Bayesian BL, RL factors, PBO", "summary": "@heidioftheeast's 10 quant project ideas beyond Black-Scholes: probability of backtest overfitting, Bayesian Black-Litterman, survival-based risk, RL factor portfolios, Sharpe statistics, convex portfolio trading, TS vs XS factors, numeraire-invariant hedging, exotic option model risk, regime-switching factors.", "creator": "@heidioftheeast", "collection": "ai4", "date": "January 11, 2026", "type": "tutorial", "tier": "S", "audience": "intermediate", "domains": [ "trading", "data" ], "tools": [], "repos": [], "models": [], "techniques": [ "backtest overfitting detection", "Bayesian Black-Litterman" ], "takeaways": [], "links": [], "deep_dive": "quant-project-ideas-list", "has_guide": true }, { "id": "DUytAorCGE_", "url": "https://www.instagram.com/p/DUytAorCGE_/", "title": "10 institutional quant projects — Avellaneda-Stoikov, Hawkes, HMM", "summary": "@heidioftheeast's deeper 10-project list: Avellaneda-Stoikov market maker, multivariate Hawkes order-flow, Almgren-Chriss cross-impact, eigenportfolios via random matrix theory, realized-kernel vol forecasting, meta-labeling, orthogonal alpha stacking, HMM regime detection, adversarial stress tests, capacity/impact scaling. Serious portfolio builder.", "creator": "@heidioftheeast", "collection": "ai4", "date": "February 15, 2026", "type": "tutorial", "tier": "S", "audience": "intermediate", "domains": [ "trading", "data" ], "tools": [ "Meta" ], "repos": [], "models": [], "techniques": [ "Avellaneda-Stoikov MM", "Hawkes process", "Almgren-Chriss" ], "takeaways": [], "links": [], "deep_dive": "avellaneda-stoikov-and-hawkes", "has_guide": true }, { "id": "DWoZspWDo6F", "url": "https://www.instagram.com/p/DWoZspWDo6F/", "title": "GitReverse — paste any repo URL, get the prompt that built it", "summary": "@marc.kaz on GitReverse.com: paste a GitHub link and it reverse-engineers the original prompt that would have produced the repo. Useful for prompt archaeology on vibe-coded projects.", "creator": "@marc.kaz", "collection": "ai4", "date": "April 2, 2026", "type": "tool", "tier": "A", "audience": "intermediate", "domains": [ "agents", "prompt-eng" ], "tools": [ "GitReverse.com" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "gitreverse.com", "url": "https://gitreverse.com" } ], "deep_dive": "gitreverse-com", "has_guide": false }, { "id": "DV3lILoEfzS", "url": "https://www.instagram.com/p/DV3lILoEfzS/", "title": "Codex + Claude Code — 3 systems to audit CC output with Codex", "summary": "@jens.heitmann: 3 setups for using OpenAI Codex as a reviewer/auditor on top of Claude Code output to reduce self-auditing time. Pointer to Jens's CC+Codex workflow content.", "creator": "@jens.heitmann", "collection": "ai4", "date": "March 14, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "agents", "llm" ], "tools": [ "Claude Code", "Codex", "Claude" ], "repos": [], "models": [], "techniques": [ "multi-model code review" ], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": "codex-claude-review-loop", "has_guide": false }, { "id": "DT5LOYiEuJH", "url": "https://www.instagram.com/p/DT5LOYiEuJH/", "title": "Λ-Vol framework — regime-driven vol propagation model", "summary": "@quant_research_decoded on 'Λ-Vol', a volatility framework modeling vol as regime-conditional feedback/absorption, tracking pressure buildup and unwind across assets and horizons. Private industry research; useful as a vol-modeling reference.", "creator": "@quant_research_decoded", "collection": "ai4", "date": "January 24, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [ "trading" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWLMdCUN1eR", "url": "https://www.instagram.com/p/DWLMdCUN1eR/", "title": "LLM canvas coding benchmark — plant-creature vs circles prompt", "summary": "@empiricail shares a single-file HTML canvas prompt (procedurally animated plant intercepting oscillating circles) used to compare ChatGPT/Gemini/Claude on fluid animation + collision logic. Reusable LLM-coding eval prompt.", "creator": "@empiricail", "collection": "ai4", "date": "March 21, 2026", "type": "demo", "tier": "B", "audience": "intermediate", "domains": [ "creative-coding", "prompt-eng" ], "tools": [ "ChatGPT", "Claude", "Gemini" ], "repos": [], "models": [], "techniques": [ "single-file canvas prompt" ], "takeaways": [], "links": [ { "label": "ChatGPT", "url": "https://chat.openai.com" }, { "label": "Claude", "url": "https://claude.ai" }, { "label": "Gemini", "url": "https://gemini.google.com" } ], "deep_dive": null, "has_guide": false }, { "id": "DWmfTyegZ4i", "url": "https://www.instagram.com/p/DWmfTyegZ4i/", "title": "Claude Dispatch — 7K scraped leads + per-agent command center", "summary": "@cfongai teaser: 7,000 leads scraped and a per-agent command center via Claude Dispatch / Claude Code. Light on details, useful only as a pointer to Claude Dispatch for lead-gen automation.", "creator": "@cfongai", "collection": "ai4", "date": "April 1, 2026", "type": "demo", "tier": "A", "audience": "intermediate", "domains": [ "agents", "automation" ], "tools": [ "Claude Code", "Claude Dispatch", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DTaoXsmk4g0", "url": "https://www.instagram.com/p/DTaoXsmk4g0/", "title": "Fisher Transform — zero-lag mean-reversion signal (Python repo)", "summary": "@quant.traderr visualizes the Fisher Transform mapping price into a Gaussian for sharper reversal signals vs lagging MAs. DM-gated GitHub repo with the Python implementation.", "creator": "@quant.traderr", "collection": "ai4", "date": "January 12, 2026", "type": "technique", "tier": "B", "audience": "intermediate", "domains": [ "trading", "data" ], "tools": [], "repos": [], "models": [], "techniques": [ "Fisher Transform" ], "takeaways": [], "links": [], "deep_dive": "fisher-transform-indicator", "has_guide": false }, { "id": "DWl3Bo6jqX1", "url": "https://www.instagram.com/p/DWl3Bo6jqX1/", "title": "OpenScreen — free open-source Screen Studio alternative", "summary": "@marc.kaz on OpenScreen (github.com/siddharthvaddem/openscreen): free MIT-licensed screen recorder with auto-zoom on clicks, cursor animations, webcam overlays, any aspect ratio. Plus the Recordly fork with native Mac/Windows recording.", "creator": "@marc.kaz", "collection": "ai4", "date": "April 1, 2026", "type": "repo", "tier": "S", "audience": "intermediate", "domains": [ "video", "creative-coding" ], "tools": [ "OpenScreen", "Cursor", "siddharthvaddem/openscreen" ], "repos": [ "siddharthvaddem/openscreen" ], "models": [], "techniques": [], "takeaways": [ "Free Screen Studio replacement for Victor's demo recordings" ], "links": [ { "label": "github.com/siddharthvaddem/openscreen", "url": "https://github.com/siddharthvaddem/openscreen" }, { "label": "github.com", "url": "https://github.com" }, { "label": "Cursor", "url": "https://cursor.sh" } ], "deep_dive": "openscreen-screen-recorder", "has_guide": true }, { "id": "DWmQYXikbqq", "url": "https://www.instagram.com/p/DWmQYXikbqq/", "title": "Anthropic Claude Code source-code leak — scale commentary", "summary": "@gojutechtalk framing the Anthropic Claude Code source leak as potentially the largest source-code leak ever. Reference for 'the leak' as a discussion point.", "creator": "@gojutechtalk", "collection": "ai4", "date": "April 1, 2026", "type": "news", "tier": "S", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Anthropic", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Anthropic", "url": "https://anthropic.com" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": "claude-code-leaked-system-prompt", "has_guide": true }, { "id": "DV8rkpGEbBJ", "url": "https://www.instagram.com/p/DV8rkpGEbBJ/", "title": "Claude Code hooks — 3 daily-driver hooks from @jens.heitmann", "summary": "@jens.heitmann on Claude Code hooks being under-utilized, with his 3 daily hooks. Pointer to Jens's CC hooks content; specifics live in the video.", "creator": "@jens.heitmann", "collection": "ai4", "date": "March 16, 2026", "type": "technique", "tier": "S", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude Code", "Claude" ], "repos": [], "models": [], "techniques": [ "Claude Code hooks" ], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": "claude-code-hooks-system", "has_guide": true }, { "id": "DVbA7IEDDql", "url": "https://www.instagram.com/p/DVbA7IEDDql/", "title": "Horus-Eye — open Palantir Gotham clone, live mil/civ feeds", "summary": "@alican.kiraz0's Horus-Eye project: Palantir Gotham-inspired live map ingesting paid military/civilian air and maritime feeds, predicting routes, fusing movement patterns, overlaying weather and satellite imagery. Reference for OSINT/defense viz stacks.", "creator": "@alican.kiraz0", "collection": "ai4", "date": "March 3, 2026", "type": "demo", "tier": "A", "audience": "intermediate", "domains": [ "data", "agents" ], "tools": [], "repos": [ "Horus-Eye" ], "models": [], "techniques": [ "OSINT ingestion", "route prediction" ], "takeaways": [], "links": [], "deep_dive": "horus-eye-palantir-clone", "has_guide": false }, { "id": "DUZzpnyjFUz", "url": "https://www.instagram.com/p/DUZzpnyjFUz/", "title": "Claude 1M token context window — @anipottsbuilds reaction", "summary": "@anipottsbuilds quick reaction to Claude's 1M context launch. Pure reaction, value is only as a timestamp marker.", "creator": "@anipottsbuilds", "collection": "ai4", "date": "February 5, 2026", "type": "news", "tier": "B", "audience": "intermediate", "domains": [ "llm" ], "tools": [], "repos": [], "models": [ "Claude" ], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWTTnvAgik_", "url": "https://www.instagram.com/p/DWTTnvAgik_/", "title": "Randy Roberts — generative-art code garden (@rndyrbrts)", "summary": "@rndyrbrts ongoing generative-art / algorithmic 'code garden' reel. No caption; the signal is remembering Randy Roberts as a generative-art reference follow.", "creator": "@rndyrbrts", "collection": "ai3", "date": null, "type": "inspiration", "tier": "A", "audience": "advanced", "domains": [ "creative-coding", "generative-art" ], "tools": [], "repos": [], "models": [], "techniques": [ "cellular automata", "Markov chains", "knowledge graphs" ], "takeaways": [ "Ambient generative art + knowledge graph as long-running creative practice" ], "links": [], "deep_dive": "generative-art-code-garden", "has_guide": false }, { "id": "", "url": "", "title": "open-multi-agent:scaffold — scaffolds new multi-agent projects", "summary": "Scaffolds new projects using the open-multi-agent framework. Provides complete API reference, 6 code patterns (single agent, auto-orchestrated team, task pipeline, custom tools, streaming, multi-model), and step-by-step project setup. | Auto-triggers when you say: create a multi-agent app scaffold agent project build multi-agent system set up agent teams agent pipeline add custom tool | Location: ~/Desktop/Projects/claude/open-multi-agent/.claude/skills/scaffold/", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "skill", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": "", "has_guide": false }, { "id": "", "url": "", "title": "ai3-knowledge — quick-access index to the full AI3 knowledge base", "summary": "Quick-access index to the entire AI3 knowledge base. Maps topics to repos, guides, and tools. When you mention any technology from the collection, this skill surfaces the relevant resource path. | Auto-triggers when you say: AI tools design tools creative coding archive collections video search text rendering projection mapping n8n TouchDesigner | Location: ~/Desktop/Projects/claude/ai3-resources/.claude/skills/ai3-knowledge/", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "skill", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": "", "has_guide": false }, { "id": "", "url": "", "title": "Cross-Project Auto-Recall — global Claude memory across all projects", "summary": "A global memory entry installed in Claude's project memory. When you're in ANY project folder and mention a topic that matches (video search, design tools, n8n, Docker optimization, etc.), Claude will proactively surface the relevant resource from ai3-resources without you asking. You never have to remember — Claude remembers for you. | Works everywhere. Examples: \"I need a component library\" → points to 21st.dev + shadcn \"optimize this Dockerfile\" → surfaces Docker guide \"search my video files\" → suggests SentrySearch \"set up automation\" → points to n8n guide | Location: ~/.claude/projects/.../memory/reference_ai3_resources.md", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "skill", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "21st.dev", "url": "https://21st.dev" } ], "deep_dive": "", "has_guide": false }, { "id": "https://github.com/ssrajadh/sentrysearch", "url": "https://github.com/ssrajadh/sentrysearch", "title": "SentrySearch — 100% local Qwen3-VL video search engine", "summary": "by ssrajadh — featured by @marc.kaz | 100% local video search engine. Type natural language queries and it finds exact timestamps in your video files. Uses Qwen3-VL embeddings. Perfect for dashcams, security footage, home videos. Zero data leaves your machine. | Python 3.11+ ChromaDB Gemini or Local Tesla dashcam support", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "repo", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "github.com", "url": "https://github.com/ssrajadh/sentrysearch" } ], "deep_dive": "", "has_guide": false }, { "id": "https://github.com/chenglou/pretext", "url": "https://github.com/chenglou/pretext", "title": "Pretext — 500x faster canvas text rendering, no DOM needed", "summary": "by Cheng Lou (ReasonML, Midjourney frontend) — featured by @marc.kaz | Pure TypeScript library for text measurement and layout. 300-600x faster than DOM-based text rendering. No DOM dependency — works in Web Workers, Node.js, and server-side. Renders to DOM, Canvas, SVG. Foundational UI infrastructure. | TypeScript 14K+ stars in 48hrs No DOM needed", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "repo", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "github.com", "url": "https://github.com/chenglou/pretext" } ], "deep_dive": "", "has_guide": false }, { "id": "https://21st.dev", "url": "https://21st.dev", "title": "21st.dev — largest React component marketplace for design engineers", "summary": "by serafimcloud — featured by @woojinstartup | \"NPM for design engineers\" — largest marketplace of shadcn/ui-based React + Tailwind components. Describe what you want, get production code. Works as MCP server for Claude Code. Community-driven, open source. | React + Tailwind MCP Server shadcn-compatible", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "repo", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "21st.dev", "url": "https://21st.dev" } ], "deep_dive": "", "has_guide": false }, { "id": "https://github.com/MoonshotAI/kimi-cli", "url": "https://github.com/MoonshotAI/kimi-cli", "title": "Kimi Code CLI — free Claude Code alternative, terminal-first agent", "summary": "by Moonshot AI — featured by @speedy_devv | Terminal-first AI coding agent. Free Claude Code/Gemini CLI alternative. No subscriptions, no locked features. Understands repos, executes end-to-end tasks. Apache 2.0 license — fully open source and modifiable. | Python Apache 2.0 Free forever", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "repo", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "github.com", "url": "https://github.com/MoonshotAI/kimi-cli" } ], "deep_dive": "", "has_guide": false }, { "id": "https://github.com/MoonshotAI/Kimi-K2.5", "url": "https://github.com/MoonshotAI/Kimi-K2.5", "title": "Kimi K2.5 — Moonshot's open multimodal agentic model", "summary": "by Moonshot AI | Open-source native multimodal agentic model. Strong coding and reasoning benchmarks. Modified MIT License. Available on HuggingFace for self-hosting as an alternative LLM backend. | Modified MIT HuggingFace Self-hostable", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "repo", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "github.com", "url": "https://github.com/MoonshotAI/Kimi-K2.5" } ], "deep_dive": "", "has_guide": false }, { "id": "https://github.com/MiniMax-AI/MiniMax-M2.5", "url": "https://github.com/MiniMax-AI/MiniMax-M2.5", "title": "MiniMax M2.5 — 80.2% SWE-Bench, top open-source coding model", "summary": "by MiniMax AI | State-of-the-art open-source model — 80.2% on SWE-Bench Verified. Excels at coding and agentic tasks. OpenAI-compatible API format. Available on GitHub + HuggingFace for self-hosting. | 80.2% SWE-Bench OpenAI-compatible API HuggingFace", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "repo", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "github.com", "url": "https://github.com/MiniMax-AI/MiniMax-M2.5" } ], "deep_dive": "", "has_guide": false }, { "id": "https://github.com/Tencent-Hunyuan/HY-Motion-1.0", "url": "https://github.com/Tencent-Hunyuan/HY-Motion-1.0", "title": "HY-Motion 1.0 — Tencent's text-to-3D motion generation", "summary": "by Tencent Hunyuan — featured by @marc.kaz | Billion-parameter text-to-3D motion generation. Type \"a person walks forward then starts jumping\" and get skeleton-based character animation. 200+ action types, 700hrs of pro mocap training. Works on human + robot skeletons. Free on HuggingFace. | DiT + Flow Matching 200+ action types Free", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "repo", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "github.com", "url": "https://github.com/Tencent-Hunyuan/HY-Motion-1.0" } ], "deep_dive": "", "has_guide": false }, { "id": "", "url": "", "title": "Archive.org Downloader — batch download from 14 curated collections", "summary": "Batch download items from 14 curated archive.org collections. Lists available collections when run without arguments. Supports format filtering (jpg, png, mp4, etc). Uses the ia CLI tool under the hood. | Bash 14 collections Format filtering | tools/archive-downloader.sh", "creator": "@6ab3", "collection": "ai3", "date": "", "type": "tool", "tier": "A", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "archive.org", "url": "https://archive.org" }, { "label": "archive-downloader.sh", "url": "https://archive-downloader.sh" } ], "deep_dive": "", "has_guide": false }, { "id": "", "url": "", "title": "Design Stack Setup — one-command shadcn + Tailwind for any project", "summary": "One-command setup for the full Claude Code design stack in any project. Initializes shadcn/ui, adds 15 essential components (button, card, dialog, tabs, etc.), creates CLAUDE.md with design guidance. 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Link in bio.", "creator": "@legacybuilder700", "collection": "ai1", "date": "April 16, 2025", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DCHeeTKuPuL", "url": "https://www.instagram.com/p/DCHeeTKuPuL/", "title": "Image-to-video AI realism check — @setupspawn", "summary": "@setupspawn discusses how image-to-video AI (upload picture, animate it) is advancing faster than expected and the deepfake implications. No specific tool named.", "creator": "@setupspawn", "collection": "ai1", "date": "November 8, 2024", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [ "video" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DAa1jxdC3h5", "url": "https://www.instagram.com/p/DAa1jxdC3h5/", "title": "Text-to-visual icon generator — @aigptinsights", "summary": "@aigptinsights short demo of an AI tool that turns text into graphic visuals/icons. Tool unnamed in caption.", "creator": "@aigptinsights", "collection": "ai1", "date": "September 27, 2024", "type": "tool", "tier": "C", "audience": "intermediate", "domains": [ "design", "image-gen" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DA7f01nt80B", "url": "https://www.instagram.com/p/DA7f01nt80B/", "title": "MonkeyAITools directory + Luma Labs/Polycam tags", "summary": "@monkeyaitools promo for their AI-tools directory site, tagging Luma Labs, Polycam, Gaussian Splatting, photoreal 3D. 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No specific model named.", "creator": "@setupspawn", "collection": "ai1", "date": "July 29, 2024", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [ "video" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "C4ygnCxxC60", "url": "https://www.instagram.com/p/C4ygnCxxC60/", "title": "NVIDIA ChatRTX local LLM — @nathanespinozayt sponsored demo", "summary": "Sponsored post showcasing NVIDIA ChatRTX, the local RTX-accelerated chatbot that runs LLMs against your own files. 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Tool unnamed in caption but concept is concrete.", "creator": "@itsaiandy", "collection": "ai2", "date": "March 12, 2026", "type": "demo", "tier": "B", "audience": "intermediate", "domains": [ "creative-coding", "data" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DV4JihMx_vD", "url": "https://www.instagram.com/p/DV4JihMx_vD/", "title": "Claude Code agent guides — @chase.h.ai DM-bait", "summary": "@chase.h.ai offers his Claude Code guides via comment 'agent'. 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Subject: Claude Code skills for web design.", "creator": "@kylewhitrow", "collection": "ai2", "date": "March 14, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "agents", "design" ], "tools": [ "Claude Code", "Anthropic", "Claude" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "Anthropic", "url": "https://anthropic.com" }, { "label": "Claude", "url": "https://claude.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DVryCC1jfi1", "url": "https://www.instagram.com/p/DVryCC1jfi1/", "title": "Claude Code agent guides — @chase.h.ai", "summary": "@chase.h.ai DM-bait for his Claude Code agent guides (comment 'agent'). 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Thin but coding-education subject.", "creator": "@coding_cosmos", "collection": "ai2", "date": "March 2, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DUa7z3MEq6A", "url": "https://www.instagram.com/p/DUa7z3MEq6A/", "title": "Hidden TradingView automation trick — @thealphainsider", "summary": "@thealphainsider teases an undocumented TradingView automation feature; comment 'Automate' for the full video. 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Subject: Figma micro-interactions/web animations.", "creator": "@neuwebstudio", "collection": "ai4", "date": "April 2, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [ "design" ], "tools": [ "Figma" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Figma", "url": "https://figma.com" } ], "deep_dive": null, "has_guide": false }, { "id": "DUBcUuDCE3j", "url": "https://www.instagram.com/p/DUBcUuDCE3j/", "title": "Gabriel's Horn / Torricelli's Trumpet — finite volume, infinite area", "summary": "@mathxmatrix explains Gabriel's Horn (Torricelli, 1643): rotate y=1/x around the x-axis to get a shape with finite volume but infinite surface area. 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Spanish-language math aesthetics post.", "creator": "@merlinomath", "collection": "ai4", "date": "April 3, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWzPgGhiTcR", "url": "https://www.instagram.com/p/DWzPgGhiTcR/", "title": "Andrej Karpathy resource — @nateherkai DM-bait", "summary": "@nateherkai teases a Karpathy-related resource (likely lecture/repo) via comment 'Karpathy'. Subject named, content not.", "creator": "@nateherkai", "collection": "ai4", "date": "April 6, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [ "llm" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWr2krjEgoe", "url": "https://www.instagram.com/p/DWr2krjEgoe/", "title": "Free Claude resource — @brodyautomates", "summary": "@brodyautomates offers an unspecified Claude resource for free via comment 'Claude'. 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Repo link via comment 'ANALYSIS'. Subject is concrete even though repo unnamed.", "creator": "@carsoncantcode", "collection": "ai4", "date": "February 11, 2026", "type": "repo", "tier": "C", "audience": "intermediate", "domains": [ "trading", "data" ], "tools": [ "Polymarket", "Kalshi" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Polymarket", "url": "https://polymarket.com" }, { "label": "Kalshi", "url": "https://kalshi.com" } ], "deep_dive": null, "has_guide": false }, { "id": "DWiCWyZj1rc", "url": "https://www.instagram.com/p/DWiCWyZj1rc/", "title": "Building workflows around legacy software — @zchangd", "summary": "@zchangd flags a 'huge unlock' for automating workflows over old/legacy business software. No tool named but concrete use case.", "creator": "@zchangd", "collection": "ai4", "date": "March 30, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [ "automation", "agents" ], "tools": [], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [], "deep_dive": null, "has_guide": false }, { "id": "DWfxDzktVfI", "url": "https://www.instagram.com/p/DWfxDzktVfI/", "title": "Claude Code agent guides — @chase.h.ai", "summary": "Another @chase.h.ai DM-bait post for his Claude Code agent guides.", "creator": "@chase.h.ai", "collection": "ai4", "date": "March 29, 2026", "type": "inspiration", "tier": "C", "audience": "intermediate", "domains": [ "agents" ], "tools": [ "Claude", "Claude Code" ], "repos": [], "models": [], "techniques": [], "takeaways": [], "links": [ { "label": "Claude", "url": "https://claude.ai" }, { "label": "Claude Code", "url": "https://github.com/anthropics/claude-code" }, { "label": "chase.h.ai", "url": "https://chase.h.ai" } ], "deep_dive": null, "has_guide": false }, { "id": "DTsn_IKE06E", "url": "https://www.instagram.com/p/DTsn_IKE06E/", "title": "Ising Model — modeling herd behavior and market phase transitions", "summary": "3D lattice visualization of the Ising model applied to financial markets. Blue=sellers, orange=buyers. At high volatility the market is random; as social pressure increases, clusters form leading to spontaneous symmetry breaking (crashes/trends). Built in Python for agent-based modeling.", "creator": "@quant.traderr", "collection": "quant", "date": "January 19, 2026", "type": "technique", "tier": "A", "audience": "advanced", "domains": [ "quant", "physics", "trading" ], "tools": [ "Python" ], "repos": [], "models": [ "Ising Model" ], "techniques": [ "Agent-Based Modeling", "Phase Transitions", "Symmetry Breaking" ], "takeaways": [ "Ising model maps statistical mechanics to market herd behavior", "Phase transitions explain sudden market regime changes", "DM-bait for code repo" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "ising-model-markets", "has_guide": false }, { "id": "DTLkCVXE7O6", "url": "https://www.instagram.com/p/DTLkCVXE7O6/", "title": "Phase Space Reconstruction — unfolding hidden BTC volatility dynamics", "summary": "Uses Phase Space Reconstruction (PSR) with time delay tau=3 to unfold BTCUSD volatility into a multi-dimensional manifold. Reveals whether market is in stable regime or chaotic transition. Key for quantitative regime detection.", "creator": "@quant.traderr", "collection": "quant", "date": "January 6, 2026", "type": "technique", "tier": "S", "audience": "advanced", "domains": [ "quant", "crypto", "chaos-theory" ], "tools": [ "Python" ], "repos": [], "models": [], "techniques": [ "Phase Space Reconstruction", "Time Delay Embedding", "Attractor Analysis" ], "takeaways": [ "PSR reveals hidden market dynamics beyond price vs time", "Clustered attractors suggest predictability", "Scattered points indicate chaotic regimes" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "phase-space-reconstruction", "has_guide": false }, { "id": "DW6uAQdk1r0", "url": "https://www.instagram.com/p/DW6uAQdk1r0/", "title": "Heston Model — stochastic volatility for realistic options pricing", "summary": "Explains why Black-Scholes fails (constant vol assumption) and how the Heston Model introduces stochastic volatility. Captures the volatility smile and skew that basic models miss. Essential for options pricing.", "creator": "@quant.traderr", "collection": "quant", "date": "April 9, 2026", "type": "technique", "tier": "S", "audience": "advanced", "domains": [ "quant", "options", "derivatives" ], "tools": [], "repos": [], "models": [ "Heston Model", "Black-Scholes" ], "techniques": [ "Stochastic Volatility", "Mean Reversion", "Volatility Smile" ], "takeaways": [ "Black-Scholes assumes constant vol — unrealistic", "Heston models vol as its own random process", "Captures smile and skew for better options pricing" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "heston-model", "has_guide": false }, { "id": "DW4GU9HE8nd", "url": "https://www.instagram.com/p/DW4GU9HE8nd/", "title": "Cox Process — doubly stochastic Poisson for bursty market events", "summary": "Standard Poisson processes assume constant event rates, but markets are bursty. The Cox Process (Doubly Stochastic Poisson) uses a CIR-driven random intensity to model trade arrivals, defaults, and volatility spikes more realistically.", "creator": "@quant.traderr", "collection": "quant", "date": "April 8, 2026", "type": "technique", "tier": "A", "audience": "advanced", "domains": [ "quant", "stochastic-processes" ], "tools": [], "repos": [], "models": [ "Cox Process", "Cox-Ingersoll-Ross Model" ], "techniques": [ "Doubly Stochastic Poisson", "Point Processes", "Intensity Modeling" ], "takeaways": [ "Markets have bursty event arrivals, not constant rates", "Cox Process models random intensity", "Applications: order book, defaults, vol spikes" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "cox-process", "has_guide": false }, { "id": "DW1kTMcExSj", "url": "https://www.instagram.com/p/DW1kTMcExSj/", "title": "Hidden Markov Models — detecting market regime shifts automatically", "summary": "Uses HMMs to mathematically deduce hidden market states from observable returns and volatility. Identifies low-vol bull, high-vol bear, and recovery regimes. Better than lagging indicators for strategy selection.", "creator": "@quant.traderr", "collection": "quant", "date": "April 7, 2026", "type": "technique", "tier": "S", "audience": "intermediate", "domains": [ "quant", "ml", "trading" ], "tools": [], "repos": [], "models": [ "Hidden Markov Model" ], "techniques": [ "Regime Detection", "State Estimation", "Viterbi Algorithm" ], "takeaways": [ "HMMs detect hidden market states from observable data", "Match strategy to regime: trend in bull, mean-revert in range", "Superior to lagging indicator-based regime detection" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "hmm-regime-detection", "has_guide": false }, { "id": "DWzAGZzE9gV", "url": "https://www.instagram.com/p/DWzAGZzE9gV/", "title": "Avellaneda-Stoikov — optimal spread calculation for market makers", "summary": "The Avellaneda-Stoikov model solves the stochastic control problem for market making. Calculates optimal bid-ask spread based on volatility, time horizon, and inventory. Foundation of modern HFT market making. DM-bait for code repo.", "creator": "@quant.traderr", "collection": "quant", "date": "April 6, 2026", "type": "technique", "tier": "S", "audience": "advanced", "domains": [ "quant", "market-making", "hft" ], "tools": [ "Python" ], "repos": [], "models": [ "Avellaneda-Stoikov Model" ], "techniques": [ "Stochastic Control", "Optimal Market Making", "Inventory Management" ], "takeaways": [ "Calculates optimal spread, not price direction", "Balances inventory risk vs profit", "Foundation of modern algorithmic market making" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "avellaneda-stoikov", "has_guide": false }, { "id": "DVyXe17E2iz", "url": "https://www.instagram.com/p/DVyXe17E2iz/", "title": "Ornstein-Uhlenbeck Process — mean reversion for pairs trading", "summary": "Simulates the OU process showing mean reversion dynamics with theta (reversion speed), mu (equilibrium), and sigma (noise). Core model for pairs trading, interest rate spreads, and volatility signals in quantitative finance.", "creator": "@quant.traderr", "collection": "quant", "date": "March 12, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "quant", "stochastic-processes", "trading" ], "tools": [], "repos": [], "models": [ "Ornstein-Uhlenbeck Process" ], "techniques": [ "Mean Reversion", "Pairs Trading", "Stochastic Differential Equations" ], "takeaways": [ "OU process models mean-reverting behavior", "Key params: theta (speed), mu (mean), sigma (noise)", "Applied to pairs trading and rate spreads" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "ornstein-uhlenbeck", "has_guide": false }, { "id": "DVTjJW9E1nL", "url": "https://www.instagram.com/p/DVTjJW9E1nL/", "title": "Wave Function Collapse analogy — modeling pre-event price uncertainty", "summary": "Draws analogy between quantum wave function collapse and price discovery after news events. Pre-event price is a probability distribution; the event collapses it to a single reality. Emphasizes modeling uncertainty and tail risks for systematic trading.", "creator": "@quant.traderr", "collection": "quant", "date": "February 28, 2026", "type": "inspiration", "tier": "B", "audience": "intermediate", "domains": [ "quant", "physics", "risk" ], "tools": [], "repos": [], "models": [], "techniques": [ "Probability Distribution", "Tail Risk Modeling", "Event-Driven Trading" ], "takeaways": [ "Pre-event prices represent probability distributions", "News collapses uncertainty into price discovery", "Model tail risks, don't ignore them" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false }, { "id": "DVL5slFE51o", "url": "https://www.instagram.com/p/DVL5slFE51o/", "title": "3D Yield Curve Surface — visualizing cross-asset macro regimes", "summary": "3D visualization of yield curve dynamics across macro regimes: COVID-19 vol shock (VIX spike, yield compression), Fed tightening cycle (curve inversion). Shows how Treasury yield warping drives cross-asset correlations.", "creator": "@quant.traderr", "collection": "quant", "date": "February 25, 2026", "type": "technique", "tier": "A", "audience": "advanced", "domains": [ "quant", "macro", "fixed-income" ], "tools": [], "repos": [], "models": [], "techniques": [ "Yield Curve Modeling", "Cross-Asset Correlation", "Macro Regime Analysis" ], "takeaways": [ "Yield curve shape drives cross-asset pricing", "Vol shocks compress yields as capital flees to safety", "Tightening cycles invert the curve" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false }, { "id": "DVEU6cyjCaq", "url": "https://www.instagram.com/p/DVEU6cyjCaq/", "title": "Volatility Surface — regime shifts from smile to smirk", "summary": "3D visualization of implied volatility surface (moneyness x maturity x IV). Shows how the surface warps from gentle 'smile' to steep 'smirk' before tail-risk events as markets bid up OTM puts for downside protection.", "creator": "@quant.traderr", "collection": "quant", "date": "February 22, 2026", "type": "technique", "tier": "S", "audience": "advanced", "domains": [ "quant", "options", "volatility" ], "tools": [], "repos": [], "models": [], "techniques": [ "Implied Volatility Surface", "Volatility Smile/Smirk", "Tail Risk Detection" ], "takeaways": [ "Vol surface shape reveals market fear", "Smile → smirk transition signals tail risk", "OTM put demand warps the surface before crashes" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "volatility-surface", "has_guide": false }, { "id": "DU8m2RCE1Ea", "url": "https://www.instagram.com/p/DU8m2RCE1Ea/", "title": "Omori's Law — earthquake aftershock math applied to market crashes", "summary": "Applies geophysics' Omori's Law to financial markets. Post-crash volatility aftershocks decay at a predictable rate following power-law dynamics, not randomly. Shows March 2020 crash decay pattern. DM-bait for code repo.", "creator": "@quant.traderr", "collection": "quant", "date": "February 19, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "quant", "physics", "volatility" ], "tools": [], "repos": [], "models": [ "Omori's Law" ], "techniques": [ "Power Law Decay", "Aftershock Modeling", "Volatility Clustering" ], "takeaways": [ "Post-crash vol decays by power law, not randomly", "Same math as earthquake aftershock prediction", "Can time post-crash mean reversion entries" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "omori-law-markets", "has_guide": false }, { "id": "DUx9t_FE0CY", "url": "https://www.instagram.com/p/DUx9t_FE0CY/", "title": "Wasserstein Distance — measuring the backtest-to-live reality gap", "summary": "Uses Wasserstein Distance and Sinkhorn Divergence to mathematically measure drift between backtest distributions (blue) and live market conditions (orange). Detects distribution shift that kills more strategies than bad fees.", "creator": "@quant.traderr", "collection": "quant", "date": "February 15, 2026", "type": "technique", "tier": "S", "audience": "advanced", "domains": [ "quant", "ml", "backtesting" ], "tools": [], "repos": [], "models": [], "techniques": [ "Wasserstein Distance", "Sinkhorn Divergence", "Distribution Shift Detection", "Optimal Transport" ], "takeaways": [ "High backtest Sharpe doesn't guarantee live performance", "Wasserstein distance quantifies strategy drift", "Monitor distribution shift to kill dead strategies early" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "distribution-shift-detection", "has_guide": false }, { "id": "DUlVcRVE8xv", "url": "https://www.instagram.com/p/DUlVcRVE8xv/", "title": "Singular Spectrum Analysis — non-parametric trend extraction from noisy data", "summary": "SSA decomposes time-series into trend, cycles, and noise without assuming a fixed functional form. Breaks data into reconstructed components (RC 1+7 trend, RC 2+3 annual, RC 9 high-freq). DM-bait for code repo.", "creator": "@quant.traderr", "collection": "quant", "date": "February 10, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "quant", "signal-processing" ], "tools": [], "repos": [], "models": [], "techniques": [ "Singular Spectrum Analysis", "Non-Parametric Decomposition", "Trend Extraction" ], "takeaways": [ "SSA extracts trends without assuming functional form", "Separates signal components by eigenvalue decomposition", "Robust alternative to Fourier for non-stationary data" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "singular-spectrum-analysis", "has_guide": false }, { "id": "DUTQPorEwuP", "url": "https://www.instagram.com/p/DUTQPorEwuP/", "title": "Lempel-Ziv Complexity — compression algorithms to detect market predictability", "summary": "Applies the LZ compression algorithm (behind .zip files) to financial time series. When LZ complexity is low, patterns repeat and the market is more predictable. When high, it's random noise. Novel cross-domain application.", "creator": "@quant.traderr", "collection": "quant", "date": "February 3, 2026", "type": "technique", "tier": "A", "audience": "advanced", "domains": [ "quant", "information-theory" ], "tools": [], "repos": [], "models": [], "techniques": [ "Lempel-Ziv Complexity", "Information Theory", "Pattern Detection" ], "takeaways": [ "Low LZ complexity = repeating patterns = more predictable", "High LZ complexity = random noise = less tradeable", "Cross-domain: compression math applied to markets" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "lempel-ziv-markets", "has_guide": false }, { "id": "DUBaBX0kxSA", "url": "https://www.instagram.com/p/DUBaBX0kxSA/", "title": "Fast Fourier Transform — decomposing NVDA price into frequency signals", "summary": "Applies FFT to NVDA price action to decompose it into frequency components, separating noise from dominant cycles. Shows how to identify the strongest periodic signals in price data.", "creator": "@quant.traderr", "collection": "quant", "date": "January 27, 2026", "type": "technique", "tier": "B", "audience": "intermediate", "domains": [ "quant", "signal-processing" ], "tools": [], "repos": [], "models": [], "techniques": [ "Fast Fourier Transform", "Frequency Decomposition", "Spectral Analysis" ], "takeaways": [ "FFT separates noise from dominant market cycles", "Identifies strongest periodic signals in price data", "Foundation for frequency-based trading strategies" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false }, { "id": "DT8BX8vEzHm", "url": "https://www.instagram.com/p/DT8BX8vEzHm/", "title": "Monte Carlo — 25,000 shuffled BTC returns to separate edge from luck", "summary": "Runs 25,000 Monte Carlo simulations by shuffling daily BTC-USD returns to test whether a strategy's performance is genuine edge or statistical luck. One backtest isn't enough — real quants demand statistical significance.", "creator": "@quant.traderr", "collection": "quant", "date": "January 25, 2026", "type": "technique", "tier": "B", "audience": "intermediate", "domains": [ "quant", "crypto", "backtesting" ], "tools": [], "repos": [], "models": [], "techniques": [ "Monte Carlo Simulation", "Permutation Testing", "Statistical Significance" ], "takeaways": [ "One backtest proves nothing — could be luck", "25K permutations reveal true edge distribution", "If random beats your strategy, you have no edge" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false }, { "id": "DT3Ig_-E7DW", "url": "https://www.instagram.com/p/DT3Ig_-E7DW/", "title": "Minimum Spanning Tree — graph theory reveals S&P 500 hidden structure", "summary": "Applies graph theory (Minimum Spanning Tree) to the S&P 500 to map the hidden network structure between stocks. Reveals sector clusters and systemic risk connections that traditional correlation matrices obscure. DM-bait for code.", "creator": "@quant.traderr", "collection": "quant", "date": "January 23, 2026", "type": "technique", "tier": "A", "audience": "advanced", "domains": [ "quant", "graph-theory", "risk" ], "tools": [ "Python" ], "repos": [], "models": [], "techniques": [ "Minimum Spanning Tree", "Graph Theory", "Network Analysis", "Correlation Networks" ], "takeaways": [ "MST reveals hidden market network structure", "Sector clusters visible in graph topology", "Systemic risk propagates along graph edges" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "mst-market-networks", "has_guide": false }, { "id": "DTx3Bi3E-hp", "url": "https://www.instagram.com/p/DTx3Bi3E-hp/", "title": "Avalanche Model — self-organized criticality explains market crashes", "summary": "Markets reach self-organized criticality where small perturbations trigger cascading failures. The 'news' doesn't cause the crash — the system was already at a critical state. Applies sandpile/avalanche dynamics from physics to explain market fragility.", "creator": "@quant.traderr", "collection": "quant", "date": "January 21, 2026", "type": "technique", "tier": "S", "audience": "advanced", "domains": [ "quant", "physics", "risk" ], "tools": [], "repos": [], "models": [ "Avalanche Model", "Self-Organized Criticality" ], "techniques": [ "Sandpile Dynamics", "Critical State Analysis", "Cascading Failures" ], "takeaways": [ "Crashes aren't caused by news — system was already critical", "Self-organized criticality: small triggers → large cascades", "Monitor criticality metrics, not news headlines" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "self-organized-criticality", "has_guide": false }, { "id": "DTnQ72fk2fm", "url": "https://www.instagram.com/p/DTnQ72fk2fm/", "title": "Tick Data vs OHLC — you're trading on 0.002% of available data", "summary": "Daily OHLC candles compress ~86,400 seconds of market data into 4 numbers — throwing away 99.998% of information. Makes the case for tick-level and limit order book analysis over candle-based trading.", "creator": "@quant.traderr", "collection": "quant", "date": "January 17, 2026", "type": "inspiration", "tier": "B", "audience": "intermediate", "domains": [ "quant", "market-microstructure" ], "tools": [], "repos": [], "models": [], "techniques": [ "Tick Data Analysis", "Market Microstructure", "LOB Analysis" ], "takeaways": [ "OHLC discards 99.998% of market data", "Tick-level analysis reveals hidden microstructure", "Candle-based trading is information-poor" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false }, { "id": "DTiLFogE4KT", "url": "https://www.instagram.com/p/DTiLFogE4KT/", "title": "Lyapunov Exponent — measuring chaos in BTC tick-level microstructure", "summary": "Visualizes the Lyapunov Exponent of BTC-USD microstructure data. Positive exponent = chaotic/unpredictable, negative = deterministic. Reveals that what looks random on 5-min charts has measurable chaotic structure at tick level.", "creator": "@quant.traderr", "collection": "quant", "date": "January 15, 2026", "type": "technique", "tier": "A", "audience": "advanced", "domains": [ "quant", "chaos-theory", "crypto" ], "tools": [], "repos": [], "models": [], "techniques": [ "Lyapunov Exponent", "Chaos Theory", "Microstructure Analysis" ], "takeaways": [ "Lyapunov exponent quantifies market chaos", "Positive = chaotic divergence, negative = convergence", "Tick-level reveals structure hidden in candle charts" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "lyapunov-exponent", "has_guide": false }, { "id": "DTfqcYUE2uV", "url": "https://www.instagram.com/p/DTfqcYUE2uV/", "title": "Kalman Filter — adaptive signal extraction for non-stationary markets", "summary": "Financial data is non-linear and non-stationary, breaking standard filters. Kalman Filter adapts in real-time, unlike lagging moving averages or FFT (which assumes stationarity). Optimal for real-time signal extraction.", "creator": "@quant.traderr", "collection": "quant", "date": "January 14, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "quant", "signal-processing" ], "tools": [], "repos": [], "models": [ "Kalman Filter" ], "techniques": [ "Adaptive Filtering", "State Estimation", "Non-Stationary Signal Processing" ], "takeaways": [ "MAs lag, FFT assumes stationarity — both fail on live data", "Kalman Filter adapts to changing market dynamics", "Optimal for real-time signal extraction" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "kalman-filter-trading", "has_guide": false }, { "id": "DTdWruOE1sm", "url": "https://www.instagram.com/p/DTdWruOE1sm/", "title": "Continuous Wavelet Transform — time-frequency analysis of QQQ", "summary": "Applies CWT to QQQ to analyze frequency-domain dynamics over time. Unlike FFT (fixed window), wavelets capture how dominant frequencies shift across regimes. Reveals the market's changing 'heartbeat'.", "creator": "@quant.traderr", "collection": "quant", "date": "January 13, 2026", "type": "technique", "tier": "B", "audience": "advanced", "domains": [ "quant", "signal-processing" ], "tools": [], "repos": [], "models": [], "techniques": [ "Continuous Wavelet Transform", "Time-Frequency Analysis", "Scalogram" ], "takeaways": [ "CWT captures how frequencies shift over time", "Superior to FFT for non-stationary data", "Reveals regime-dependent dominant cycles" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false }, { "id": "DTaoXsmk4g0", "url": "https://www.instagram.com/p/DTaoXsmk4g0/", "title": "Fisher Transform — Gaussian normalization for sharper trading signals", "summary": "The Fisher Transform mathematically transforms price data into a Gaussian distribution, creating sharper turning-point signals than lagging indicators. Shows clear zero-crossings for entry/exit timing.", "creator": "@quant.traderr", "collection": "quant", "date": "January 12, 2026", "type": "technique", "tier": "B", "audience": "intermediate", "domains": [ "quant", "signal-processing", "trading" ], "tools": [], "repos": [], "models": [], "techniques": [ "Fisher Transform", "Gaussian Normalization", "Signal Processing" ], "takeaways": [ "Fisher Transform creates near-Gaussian signal distribution", "Sharper turning points than moving averages", "Clear zero-crossing signals for entries/exits" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false }, { "id": "DTXv8W_k-0x", "url": "https://www.instagram.com/p/DTXv8W_k-0x/", "title": "Random Matrix Theory — cleaning correlation matrices from noise", "summary": "Standard correlation matrices treat random noise as valid connections. Random Matrix Theory (RMT) filters eigenvalues to 'clean' the matrix, keeping only statistically significant correlations. The market is 90% noise.", "creator": "@quant.traderr", "collection": "quant", "date": "January 11, 2026", "type": "technique", "tier": "S", "audience": "advanced", "domains": [ "quant", "linear-algebra", "risk" ], "tools": [], "repos": [], "models": [], "techniques": [ "Random Matrix Theory", "Eigenvalue Filtering", "Marcenko-Pastur Distribution" ], "takeaways": [ "Most correlations in raw matrices are noise", "RMT filters eigenvalues against theoretical noise bounds", "Clean matrices improve portfolio optimization" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "random-matrix-theory", "has_guide": false }, { "id": "DTSn31Ek2DB", "url": "https://www.instagram.com/p/DTSn31Ek2DB/", "title": "Stable Distribution — modeling fat-tailed crashes beyond Gaussian", "summary": "Markets go up slowly but crash fast. Standard Gaussian models underestimate crash probability. Uses Stable (Levy) distributions to properly model fat tail events and Black Swan risks that beginners ignore.", "creator": "@quant.traderr", "collection": "quant", "date": "January 9, 2026", "type": "technique", "tier": "B", "audience": "intermediate", "domains": [ "quant", "risk", "statistics" ], "tools": [], "repos": [], "models": [ "Stable Distribution", "Levy Distribution" ], "techniques": [ "Fat Tail Modeling", "Non-Gaussian Returns", "Extreme Value Theory" ], "takeaways": [ "Gaussian models massively underestimate crash probability", "Stable distributions capture fat tails", "Ignoring tail risk is the #1 beginner quant mistake" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false }, { "id": "DTPrgWIk4Ns", "url": "https://www.instagram.com/p/DTPrgWIk4Ns/", "title": "Hurst Exponent — 3D surface of BTC memory and mean-reversion zones", "summary": "Plots the Hurst Exponent of BTC-USD as a 3D surface. H>0.5 = trending (momentum), H<0.5 = mean-reverting, H=0.5 = random walk. Shows how market 'memory' varies across timeframes. Basis for adaptive strategy selection.", "creator": "@quant.traderr", "collection": "quant", "date": "January 8, 2026", "type": "technique", "tier": "A", "audience": "intermediate", "domains": [ "quant", "crypto", "statistics" ], "tools": [], "repos": [], "models": [ "Hurst Exponent" ], "techniques": [ "Long-Range Dependence", "Rescaled Range Analysis", "Fractal Analysis" ], "takeaways": [ "Hurst > 0.5 = trending, < 0.5 = mean-reverting", "Market memory varies across timeframes", "Use Hurst to select momentum vs mean-reversion strategy" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "hurst-exponent", "has_guide": false }, { "id": "DTAjTaBADAx", "url": "https://www.instagram.com/p/DTAjTaBADAx/", "title": "VectorBT — vectorized backtesting framework explained simply", "summary": "Brief explainer of VectorBT, a Python backtesting library that uses vectorized operations for fast strategy testing. Aimed at retail traders transitioning to quantitative methods.", "creator": "@quant.traderr", "collection": "quant", "date": "January 2, 2026", "type": "tool", "tier": "C", "audience": "beginner", "domains": [ "quant", "backtesting", "python" ], "tools": [ "VectorBT", "Python" ], "repos": [ "vectorbt" ], "models": [], "techniques": [ "Vectorized Backtesting" ], "takeaways": [ "VectorBT enables fast vectorized strategy backtesting", "More accessible entry point for retail → quant transition" ], "links": [ { "label": "@quant.traderr", "url": "https://instagram.com/quant.traderr" } ], "deep_dive": "", "has_guide": false } ] }