Automatically vectorize tweets you've seen so you can actually find them later.
Users
12
0 in 30 days
Rating
5.0 / 5
unchanged in 30 days
Ratings
1
0 in 30 days
Store rank
#179K
#150K among extensions
Version
0.0.20
updated 14 Sep 2024
Users
monthly, 2 years
Latest, 15 Oct 2026:12 usersMove the mouse over the chart for any month
Ratings count
monthly, 2 years
Latest, 15 Oct 2026:1 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Vector Search for X (formerly Twitter)
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