[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-74916":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":17,"stars30d":18,"stars90d":15,"forks30d":15,"starsTrendScore":19,"compositeScore":20,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":21,"fork":21,"defaultBranch":22,"hasWiki":23,"hasPages":21,"topics":24,"createdAt":9,"pushedAt":9,"updatedAt":25,"readmeContent":26,"aiSummary":27,"trendingCount":15,"starSnapshotCount":15,"syncStatus":28,"lastSyncTime":29,"discoverSource":30},74916,"lennys-podcast-transcripts","ChatPRD\u002Flennys-podcast-transcripts","ChatPRD","Transcripts from Lenny's Podcast",null,"Shell",1297,480,21,4,0,8,13,43,24,21.05,false,"main",true,[],"2026-06-12 02:03:30","# Lenny's Podcast Transcripts Archive\n\nA comprehensive archive of transcripts from [Lenny's Podcast](https:\u002F\u002Fwww.youtube.com\u002F@LennysPodcast), organized for easy use with AI coding assistants and language models.\n\n## About Lenny's Podcast\n\nLenny's Podcast features interviews with world-class product leaders and growth experts, providing concrete, actionable, and tactical advice to help you build, launch, and grow your own product.\n\n## Quick Start\n\n**Browse by topic:** Start with [index\u002FREADME.md](index\u002FREADME.md) to explore episodes by topic.\n\n**Search transcripts:**\n```bash\ngrep -r \"product-market fit\" episodes\u002F\n```\n\n## Repository Structure\n\n```\n├── episodes\u002F                    # 269 episode transcripts\n│   └── {guest-name}\u002F\n│       └── transcript.md\n├── index\u002F                       # AI-generated topic index\n│   ├── README.md                # Main entry point\n│   ├── product-management.md    # Episodes about product management\n│   ├── leadership.md            # Episodes about leadership\n│   └── ...                      # 50+ topic files\n└── scripts\u002F\n    └── build-index.sh           # Script to regenerate index\n```\n\n## Episode Format\n\nEach episode has its own folder named after the guest(s), containing a `transcript.md` file with:\n\n1. **YAML Frontmatter** - Structured metadata including:\n   - `guest`: Name of the guest(s)\n   - `title`: Full episode title\n   - `youtube_url`: Link to the YouTube video\n   - `video_id`: YouTube video ID\n   - `publish_date`: Publication date (YYYY-MM-DD)\n   - `description`: Episode description\n   - `duration_seconds`: Episode length in seconds\n   - `duration`: Human-readable duration\n   - `view_count`: Number of views at time of archival\n   - `channel`: Channel name\n\n2. **Transcript Content** - Full text transcript of the episode\n\n## Topic Index\n\nThe `index\u002F` folder contains AI-generated keyword tags for each episode, organized by topic:\n\n| Topic | Description |\n|-------|-------------|\n| [Product Management](index\u002Fproduct-management.md) | 57+ episodes on PM skills and practices |\n| [Leadership](index\u002Fleadership.md) | Episodes on management and leadership |\n| [Growth Strategy](index\u002Fgrowth-strategy.md) | Growth tactics and frameworks |\n| [Product-Market Fit](index\u002Fproduct-market-fit.md) | Finding and measuring PMF |\n\nSee [index\u002FREADME.md](index\u002FREADME.md) for the complete list of 50 topics.\n\n## Rebuilding the Index\n\nThe index is generated using Claude CLI. To regenerate:\n\n```bash\n.\u002Fscripts\u002Fbuild-index.sh\n```\n\nThis processes transcripts through Claude to generate keyword tags. The script is idempotent - it skips episodes already present in keyword files, so it can be run multiple times safely.\n\n## Usage with AI\n\n### Loading Transcripts\n\nEach transcript is a standalone markdown file that can be easily parsed by AI systems. The YAML frontmatter provides structured metadata that can be extracted programmatically.\n\n### Example: Reading a Transcript\n\n```python\nimport yaml\n\ndef read_transcript(filepath):\n    with open(filepath, 'r') as f:\n        content = f.read()\n\n    # Split frontmatter and content\n    parts = content.split('---')\n    if len(parts) >= 3:\n        frontmatter = yaml.safe_load(parts[1])\n        transcript = '---'.join(parts[2:])\n        return frontmatter, transcript\n    return None, content\n\n# Example usage\nmetadata, transcript = read_transcript('episodes\u002Fbrian-chesky\u002Ftranscript.md')\nprint(f\"Guest: {metadata['guest']}\")\nprint(f\"Title: {metadata['title']}\")\n```\n\n## Episode Count\n\nThis archive contains **269 transcripts** from Lenny's Podcast episodes.\n\n## Data Sources\n\n- **Transcripts**: Sourced from the Lenny's Podcast Transcripts Archive\n- **Metadata**: Extracted from the [Lenny's Podcast YouTube channel](https:\u002F\u002Fwww.youtube.com\u002F@LennysPodcast)\n\n## Contributing\n\nIf you notice any issues with the transcripts or metadata, please open an issue or submit a pull request.\n\n## Projects Built with These Transcripts\n\nHere are some projects that have been built using this transcript archive:\n\n**[Lenny Playbook](https:\u002F\u002Flilys.ai\u002Fcollections\u002F141200?s=1)** by LilysAI – Turns Lenny Podcast transcripts into structured notes, visual infographics, and a chat interface to explore ideas and get actionable answers.\n\n**[Learn from Lenny](https:\u002F\u002Fx.com\u002Flearnfromlenny)** by [@IamAdiG](https:\u002F\u002Fx.com\u002FIamAdiG) - An AI agent on X that provides credible product advice based on Lenny's podcasts. Tag it to get spot-on advice with no fluff.\n\n**[Lenny Skills Database](https:\u002F\u002Frefoundai.com\u002Flenny-skills\u002F)** by Refound AI - A searchable database of 86 actionable skills extracted from 297 podcast episodes. Learn how the best product teams actually work.\n\n**[Lenny MCP](https:\u002F\u002Fgithub.com\u002Fakshayvkt\u002Flenny-mcp)** by [Akshay Chintalapati](https:\u002F\u002Fx.com\u002Fakshayvkt) - A Model Context Protocol server that provides access to Lenny's podcast content for AI applications.\n\n**[Recapio - Lenny's Podcast Summaries](https:\u002F\u002Frecapio.com\u002Fchannel\u002Flennyspodcast)** - AI-generated summaries, transcripts, key insights, and chat interface for Lenny's Podcast episodes.\n\n**[Lenny's Frameworks](https:\u002F\u002Flennys-frameworks.vercel.app\u002F)** - A collection of frameworks and mental models extracted from Lenny's Podcast episodes.\n\n**[Lenny Listens](https:\u002F\u002Flenny-listens.vercel.app\u002F)** - Uses Lenny's interviewing methodology to generate AI-led interviews you can run with real customers.\n\n**[Lenny's Advice Arena](https:\u002F\u002Flennysadvicearena.lovable.app\u002F)** - An interactive experience for exploring product advice from Lenny's Podcast.\n\n**[Lenny Gallery](https:\u002F\u002Flennygallery.manus.space\u002F)** by Alan Chan - An infographic gallery with visual summaries of key episodes, built with Manus AI.\n\n**[Lenny's Friends in Notion](https:\u002F\u002Flnkd.in\u002FgtEdP5ew)** by Saya Iwasaki - turned Lenny's guests into Notion mentors, so now you can ask anything you want & get feedback from them right in your Notion workspace. Each guest has a persona set up with mental models, frameworks & communication styles; you can also query by companies.\n\n**[Lenny Distilled](https:\u002F\u002Flennydistilled.com)** by [Harsh Nene](https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fharshnene\u002F) - A curated collection of PM wisdom to dip into anytime...discover a new insight each visit, trace it back to the source quote and YouTube moment. Mapped to the PM craft across 6 dimensions, minimalist design, multiple languages.\n\n**[Lenny's Library in Radia.io](https:\u002F\u002Fgetradia.io\u002Fresources\u002Flennys-library)** by Kas Eelman - Leveraging transcripts to provide additional insight in to the product competency assessment for Radia users with citations, meta-data and the original episodes.\n\n**[Lenny for Claude](https:\u002F\u002Fgithub.com\u002Farjunlall\u002Flenny-for-claude)** by [Arjun Lall](https:\u002F\u002Fx.com\u002F_arjun) - MCP server that surfaces podcast advice inside Claude Code and Claude Desktop. Includes \u002Flenny slash command and optional plan mode hook.\n\n**[Lennyhub RAG](https:\u002F\u002Fgithub.com\u002Ftraversaal-ai\u002Flennyhub-rag)** by Hamza Farooq - A production grade knowledge graph RAG, enabling multi-turn questions \n\n**[Lenny Ideation Constellation & Search](https:\u002F\u002Flennys-search.vercel.app\u002F)** - A semantic search engine and idea explorer for Lenny's Podcast. Find exactly what the guests said, or visually discover how their ideas connect, cluster, and contradict across episodes.\n\n**[LennySan RAG-o-Matic](https:\u002F\u002Fgithub.com\u002Fdeanpeters\u002Flennysan-rag-o-matic)** by Dean Peters - A low-barrier, learn-by-building PM pm research tool for exploring Lenny Rachitsky's 320+ podcast episodes using AI and RAG from the CLI, with future support for Jupyter notebooks, time-series exploration, and more.\n\n**[Ask Lenny](https:\u002F\u002Fask-lenny.vercel.app\u002F)** by Prayerson Christian - AI research assistant that answers questions using real quotes from Lenny's podcast.\n\n**[Lenny's Wisdom Wall](https:\u002F\u002Flennys-wisdom-wall.vercel.app)** by Shrikant Kadu - An interactive exploration featuring interesting insights and curated contradictions from Lenny's podcast guests.\n\n**[Time Capsule](https:\u002F\u002Fsameerbajaj.com\u002Ftools\u002Ftimecapsule)** by [@sameerbajaj](https:\u002F\u002Fx.com\u002Fsameerbajaj) - Describe your situation and get a personalized letter with advice from product leaders who were in your exact moment.\n\n**[Lenny's Experts](https:\u002F\u002Fwww.expertand.com\u002Flenny)** by [@joeyh](https:\u002F\u002Ftwitter.com\u002Fjoeyh) - Make Lenny's guests your personal expert network. Browse by topic, save what resonates, come back to it later.\n\n**[Lenny's Podcast on Pod Recs](https:\u002F\u002Frave.us\u002Fpod-recs)** by Pod Recs - Browse and save all the things recommended on Lenny's Podcast. Books, films, products... it's all there (and normalised!)\n\n**[Lenny Antimemes](https:\u002F\u002Flenny.antimeme.co)** by [@antimemetic_](https:\u002F\u002Fx.com\u002Fantimemetic_) - An antimeme is an idea that resists spreading despite being important. The guests on Lenny's podcast have internalized them anyway - that's part of what makes them outliers. This surfaces those insights.\n\n**[Lenny's Knowledge Graph](https:\u002F\u002Flennysgraph.vercel.app\u002F)** by [Eze Actis Grosso](https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Ffractionaltech\u002F) - Explore concepts, frameworks, guests, and books across 330+ episodes. Find connections, ask questions, and get answers with the exact episode and timestamp—click straight to that moment on YouTube.\n\nHave you built something with these transcripts? Open a PR to add your project to this list!\n\n## Disclaimer\n\nThis archive is for educational and research purposes. All content belongs to Lenny's Podcast and the respective guests. Please visit the official YouTube channel to support the creators.\n\n## License\n\nThe transcripts are provided for personal and educational use. Please respect the original content creators' rights.\n","Lenny's Podcast Transcripts Archive 是一个收录了 Lenny 的播客访谈的文字记录库，旨在为 AI 编程助手和语言模型提供易于使用的资源。该项目通过 Shell 脚本组织并索引了 269 期关于产品领导力与增长策略的播客内容，每份文字记录都包含结构化的元数据（如嘉宾姓名、发布日期等），便于用户根据主题快速检索相关内容。适用于需要从成功的产品专家那里获取实用建议的产品经理、创业者以及对技术领域感兴趣的个人学习使用。此外，项目还提供了重建索引的脚本，支持用户自定义关键词生成，进一步增强了其灵活性与实用性。",2,"2026-06-11 03:51:25","high_star"]