Building an open-source AI that turns YouTube videos into structured knowledge (Looking for feedback & contributors)

Hey everyone,

I’ve been working on a side project over the past few weeks and wanted to share it to get some feedback.

It started as a simple YouTube transcription API, but I realized transcripts alone aren’t that useful. My goal now is to turn YouTube videos into structured knowledge that people can actually use.

Current features:

• ✅ YouTube audio extraction
• ✅ Metadata extraction
• ✅ Faster-Whisper (local) transcription
• ✅ Google Gemini support
• ✅ FastAPI REST API
• ✅ Swagger/OpenAPI docs

The next features I’m working on are:

Developer Mode

• Extract libraries, APIs, commands, GitHub repos, folder structure, common errors, and solutions.

Founder Mode

• Extract business ideas, target users, pricing, competitors, risks, and opportunities.

Tutorial Mode

• Convert videos into step-by-step guides with prerequisites and dependencies.

Research Mode

• Compare multiple YouTube videos and generate:
  • Consensus
  • Contradictions
  • Best practices
  • Sources
  • Key takeaways

The project is completely free and open source. I’m building it because I wanted something that goes beyond “summarize this video.”

If you’re interested in Python, AI, FastAPI, prompt engineering, or just think this sounds useful, I’d love your ideas or contributions.

I’m especially looking for feedback on:

• What feature would make you actually use this?
• What am I missing?
• Is there a better direction I should explore?

Thanks! 🙂 Dm Me and Build it together

Current CIBIL: No credit history (N/A)

Age: 22

Monthly Income & Employment Status: Joining soon

Monthly Expenses: ₹20k–₹40k

Top Monthly Spend Categories:

• Online shopping
• Dining
• Groceries
• Travel
• Subscriptions

Reward Preference: Cashback preferred/EMI

Lounge Access Required: No

Other Special Needs:

I’m planning to create a ₹1 lakh Fixed Deposit to get my first secured credit card and build my CIBIL score.
Which FD-backed credit card would you recommend? Is SBI simply still the best choice, or should I consider options from HDFC, ICICI, IDFC FIRST, or others? 

Hi everyone! 👋

I’ve been working on a small open-source project that makes it easy to extract structured information from YouTube videos.

Features

* 🎙️ Download audio from any YouTube video using yt-dlp

* ⚡ Local transcription with faster-whisper (GPU or CPU)

* ☁️ Optional Google Gemini transcription

* 📊 Extract rich metadata (title, channel, views, tags, upload date, etc.)

* 📝 Export transcripts as structured JSON

* ➕ Automatically appends multiple videos into a single JSON dataset

* 🧹 Cleans up temporary audio files automatically

Example:

python youtube.py "https://youtu.be/VIDEO_ID" --output dataset.json

Each run adds another video to the same JSON file, making it useful for building datasets or knowledge bases.

This is currently the first public version, and I’d really appreciate feedback.

Some ideas I’m considering next:

* Duplicate detection

* Playlist support

* Better Python package structure (pip install)

* Plugin architecture

* API/server mode

* Better transcript formatting

I’d love to hear:

* What features would make this genuinely useful for you?

* What would you change?

* Any improvements to the codebase or project structure?

GitHub:

https://github.com/KartikeySepta/youtube-transcript-scraper

Feedback, issues, feature requests, and pull requests are all welcome. Thanks!

https://exploreday.in/search-box/

means I added it but can you sponsor ads are coming not like search terms like car loans and insurance or anything but can you check and say cause I dont see when I search my self I just want to know is it working or not

Every other day there’s a new AI that can generate websites, redesign UIs, create logos, write copy, even build frontend code. It’s honestly kind of overwhelming

Every week there’s another AI tool claiming it can design websites in minutes

A year or two ago, learning web design felt like such a solid path. Now I keep seeing people say AI will replace designers, while others say it’s just another tool like Photoshop or Figma was.

I genuinely don’t know what to think anymore.

If you’re actually working in web design, has your job changed that much? Are clients expecting more for less because AI can do it

Are junior designers having a harder time finding work, or is the whole tech job market just rough right now

Hey guys,

Wanted to share portfolio. I wanted to see how far I could push scroll-linked animations and complex SVG paths in React without sacrificing performance.

Link: https://portfolio-2026-beige-delta.vercel.app

Link - https://dev.exploreday.in/

https://preview.redd.it/z1e586oeu88h1.png?width=2938&format=png&auto=webp&s=6d74f1b43ba32a74755dd90a7f7f335d08ae3b89

A few technical details:

• Static Export: The entire site is statically exported (output: 'export') and deployed on Vercel's Edge Network.
• Performance: Even with heavy useScroll and useTransform hooks mapping out complex SVG wires and node opacities, it stays locked at 60fps.
• Security: Implemented strict CSP, HSTS, and X-Frame-Options headers directly in next.config.ts.
• Vercel: Deployed natively on Vercel for instant cache hits globally.

I'm currently working heavily in the AI/Automation space (Ollama, Python, RAG), so I wanted the site to feel like a "system interface" rather than a standard resume.

Let me know what you think of the performance and design!

"edit 1 - I fixed the lag part may be now not lag I dont know for sure but if you find it still lag comment"

Hi everyone,

I'm a React/Node.js developer working on a self-hosted AI blogging system and would like advice from people who have built AI agents in production.

• Should I build this using LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or something else?
• Is RAG enough, or should I fine-tune a model?
• Has anyone successfully built an agent that improves blog content based on analytics data?
• How do you prevent hallucinations while keeping content engaging?
• What architecture would you recommend for a fully autonomous content pipeline?

Hi everyone,

I'm a React/Node.js developer working on a self-hosted AI blogging system and would like advice from people who have built AI agents in production.

• Should I build this using LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, or something else?
• Is RAG enough, or should I fine-tune a model?
• Has anyone successfully built an agent that improves blog content based on analytics data?
• How do you prevent hallucinations while keeping content engaging?
• What architecture would you recommend for a fully autonomous content pipeline?

I am looking to buy pc but market is hard ao looking for 2nd hand how can i find it suggest

ollama run qwen3:8b pulling manifest  pulling a3de86cd1c13: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 5.2 GB                          pulling ae370d884f10: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏ 1.7 KB                          pulling d18a5cc71b84: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏  11 KB                          pulling cff3f395ef37: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏  120 B                          pulling 05a61d37b084: 100% ▕██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████▏  487 B                          verifying sha256 digest  writing manifest  success  Error: 500 Internal Server Error: error starting llama-server: llama-server binary not found (checked: /opt/homebrew/Cellar/ollama/0.30.2/libexec/lib/ollama/llama-server, /opt/homebrew/Cellar/ollama/0.30.2/libexec/llama-server, /opt/homebrew/Cellar/ollama/0.30.2/lib/ollama/llama-server, /opt/homebrew/Cellar/ollama/0.30.2/libexec/build/lib/ollama/llama-server, /opt/homebrew/Cellar/ollama/0.30.2/libexec/dist/darwin-arm64/lib/ollama/llama-server, /opt/homebrew/Cellar/ollama/0.30.2/libexec/dist/darwin_arm64/lib/ollama/llama-server, /opt/homebrew/Cellar/ollama/0.30.2/libexec/dist/darwin/llama-server, /opt/homebrew/var/build/lib/ollama/llama-server, /opt/homebrew/var/dist/darwin-arm64/lib/ollama/llama-server, /opt/homebrew/var/dist/darwin_arm64/lib/ollama/llama-server, /opt/homebrew/var/dist/darwin/llama-server). Run 'cmake -S llama/server --preset cpu && cmake --build --preset cpu' first