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Press Shift+Y while watching to save video for keyword search reeLm is external memory for the YouTube videos you've already chosen to keep. You watch a great tutorial. Six months later, you're standing at the problem it solved — but you can't remember which video had the answer. You remember a fragment: "anode rod." A phrase. A name. A specific word that stuck. reeLm finds that moment. Press Shift+Y while watching to save a video. reeLm indexes the full transcript locally. Later, click the icon and type the fragment you remember — every video where it was mentioned comes back, with the exact timestamps. Click one, and you're at the second the speaker said it. How it works 1. Watch YouTube normally. When something's worth keeping, press Shift+Y. 2. reeLm pulls the transcript and stores it on your machine — never uploaded anywhere. 3. Anytime later, click the icon and type a word or phrase you remember. 4. See every saved video where it appears, with timestamps. Click to jump. Why reeLm • Built for the moment you remember the fragment but not the source • Searches across every video in your library, not just the one you're watching • 100% local: transcripts stay on your machine, never leave your device • Text-only storage: no video files. About 50 MB for 1,000 saves. • No account, no API key, no subscription • Scales the way your memory can't: works the same with 50 saves or 5,000 • Free and open source reeLm requires a small local Python server, installable via Homebrew: brew install woodman11/reelm/reelm brew services start reelm Source: https://github.com/Woodman11/reelm
Jun 3, 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.