LearnCurator – Stop wasting time on bad YouTube tutorials
I love learning from YouTube, but I kept running into the same problems:
- Shorts mixed into search results (too short to teach anything)
- Non‑English/Hindi videos (I don’t speak Tamil or Telugu)
- Outdated tutorials (still showing 4‑year‑old videos even if better ones exist)
- No way to tell quality until I’ve watched 5 minutes
So I built LearnCurator – a smart search engine for YouTube tutorials.
🔍 How it works
- Initial engagement score The app first computes a base score for each video using: -engagementRatio = likes / views (capped at 1.0) -recencyFactor based on publish age
In youtubeService.js: -score = engagementRatio * 0.7 + recencyFactor * 0.3 -So videos with high like/view ratio and recent publish date rank higher.
- Sentiment and final score After getting the top candidate videos, it enriches them with sentiment analysis and a popularity boost.
Final score formula: finalScore = engagementRatio * 0.3
recencyFactor * 0.1
sentimentScore * 0.3
viewBoost * 0.3
🤖 AI‑powered comment analysis
I integrated Gemini 1.5 Flash to analyse YouTube comments. The AI counts positive vs negative feedback and adds a sentiment score to each video. This helps surface content that the community actually loved – not just clicked on.
👍👎 User feedback
Every video card has 😍 😐 😞 buttons. Users can rate a tutorial and leave optional comments. I built a private admin dashboard where I can see real‑time feedback, average ratings, and trending complaints.
🌐 Live demo
👉 [https://learncurator.netlify.app/]
Try searching for “JavaScript promises” or “React hooks” – you’ll only get videos, no shorts, all longer than 5 minutes, ranked by quality.
🛠️ Tech stack
- Frontend: HTML, CSS, vanilla JS (responsive, works on mobile)
- Backend: Netlify Functions (Node.js)
- APIs: YouTube Data API v3, Gemini 1.5 Flash
- Database: Supabase (feedback storage + caching)
- Deployment: Netlify (frontend + functions)
📊 What I learned
- How to handle YouTube API quotas and caching
- Using Gemini for sentiment analysis on real‑world data
- Building a secure admin dashboard without a traditional backend
- Deploying a full‑stack app entirely on Netlify’s free tier
🚀 What’s next
- Add transcript relevance scoring (search inside videos)
- Personalised recommendations based on past feedback
- Dark mode (because every app needs it 😄)
I’d love your feedback. Try it out and let me know what you think!
If you're a learner tired of low‑quality tutorials, or a developer curious about AI + YouTube, give LearnCurator a spin.