https://algotrainer.netlify.app/ · Tools
4 items
Train your YouTube algorithm by automatically filtering videos outside your niches. Take back control of your YouTube feed. AlgoTrainer filters out videos that don't match your interests, so the algorithm learns what you actually want to watch. 🎯 HOW IT WORKS 1. Pick your niches (Gaming, Tech, AI, Cooking, Fitness...) 2. Add custom keywords to fine-tune your filters 3. Turn it on — irrelevant videos disappear from your feed 4. YouTube's algorithm adapts to your real interests over time ✅ KEY FEATURES • 17 built-in niches with smart keyword matching • Custom keywords & blocklist for precise control • Whitelist your favorite channels (never filtered) • Sync your YouTube subscriptions with one click • Preview mode — see what would be filtered before committing • Keyword combinations (AND groups) for advanced filtering • Adjustable scoring threshold (1, 2 or 3 keyword matches) • Full history of filtered & kept videos with undo • Stats dashboard — track your filtering activity • Export/import your settings • Available in 10 languages: English, Français, Español, Português, Deutsch, 日本語, हिन्दी, Русский, 한국어, Türkçe 🔒 PRIVACY • No data collection — everything stays in your browser • No account required • No tracking, no analytics ⚡ FREE PLAN • 3 niches, 15 keywords, 5 whitelisted channels • 50 filtered videos per day 💎 PRO (€3 one-time) • Unlimited niches, keywords & channels • Unlimited daily filtering • Blocklist, combinations & enriched niches Stop wasting time on videos you don't care about. Train your algorithm today.
Mar 19, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.