This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Vecstore is a search API for images and text. Users can search by uploading a photo or describing what they want, like "green velvet armchair with wooden legs", even when nothing was tagged. Hybrid ranking keeps exact matches on top. Queries take 3ms on 10M records.
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About Vecstore on Product Hunt
“Smart search API for your data”
Vecstore was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #155 on the daily leaderboard. Vecstore is a search API for images and text. Users can search by uploading a photo or describing what they want, like "green velvet armchair with wooden legs", even when nothing was tagged. Hybrid ranking keeps exact matches on top. Queries take 3ms on 10M records.
Vecstore was featured in API (98.8k followers), User Experience (369.3k followers) and Artificial Intelligence (482.1k followers) on Product Hunt. Together, these topics include over 179.5k products, making this a competitive space to launch in.
Who hunted Vecstore?
Vecstore was hunted by Giorgi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Vecstore stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Giorgi
Hi Product Hunt, we launched Vecstore here about a year ago. Since then we've rebuilt most of it.
What's new:
- A new model that understands photos and text with higher accuracy
- The embedding service rewritten in Rust, with an image embedded in about 12ms
- Everything moved into Postgres, and queries now take about 3ms on 10M records
- Hybrid ranking, so exact names and SKUs still match
It works for marketplaces, ecommerce and any app with lots of photos. It also includes NSFW detection and duplicate image detection.
The demo needs no signup: https://vecstore.app/demo
We'd love feedback on search quality.