vector-search-for-x.com · Social Networking
4 items
Automatically vectorize tweets you've seen so you can actually find them later. 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
Sep 14, 2024
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.