CRX id
bplhnokolnfjfnmokjidafhjeapfcceg
bplhnokolnfjfnmokjidafhjeapfcceg
Description from extension meta
Automatically vectorize tweets you've seen so you can actually find them later.
Image from store
Description from store
Leverage the power of embeddings to find tweets you vaguely remember via keywords or concepts
- Saves every tweets you scroll by inside your browser’s IndexedDB, including media content
- Syncs across your devices via Google Drive appDataFolder (requires authorization). Turned off by default.
- Provides a Twitter-like interface for you to search tweets you’ve seen.
- Search results are displayed exactly as seen on Twitter. There is a “compact” mode option that reduces the size of the media elements so more focus is placed on text.
- All you need is an OpenAI key. You can generate embeddings via either the text-3-embedding-large or text-3-embedding-small. The cost is negligable, but there is a cost estimator inside the extension should you be curious about pricing (around 150k tweets per $ for the large model)
- Small amount of customization options, like the similarity score threshold for a tweet to appear in your search results.
Got an idea to improve this extension? Tweet at/DM me here: https://x.com/godardbuilds