Instant is the first accurate local AI file search that uses the latest embedding models to find the exact file (and page) with the content you’re looking for with a 95% hit rate.
Hi PH!
Instant Search is the first accurate local AI file search that uses the latest embedding models from Perplexity to find the exact file (and page) with the content you’re looking for with a 95% hit rate.
Search never worked properly, especially with local files. Now, you can find the right image, document, or Obsidian file in seconds. Looking for your driver’s license? Just type “driver’s license”. Looking for a particular note? Just explain the context.
Why not Finder/Spotlight?
Spotlight is just a keyword search. It doesn’t understand file content. Instant finds the exact file you’re describing in under a second.
Why not RAG?
Traditional RAG models give you a single embedding vector per entire body of text. That means either you have a vector that’s not detailed enough to give you an accurate semantic representation, or it’s too precise and doesn’t contain enough surrounding context. Instant circumvents these problems by relying on a bidirectional late-interaction embedding model that works flawlessly.
How much space does indexing need?
An average library of content needs less than 1GB of disk space.
Check it out, share with friends, and let me know your feedback!
No comment highlights available yet. Please check back later!
About Instant Search on Product Hunt
“The fastest, most precise local AI Search for your files.”
Instant Search launched on Product Hunt on October 23rd, 2026 and earned 94 upvotes and 5 comments, placing #13 on the daily leaderboard. Instant is the first accurate local AI file search that uses the latest embedding models to find the exact file (and page) with the content you’re looking for with a 95% hit rate.
Instant Search was featured in Mac (103.8k followers), Productivity (663.8k followers) and Search (18.1k followers) on Product Hunt. Together, these topics include over 185.5k products, making this a competitive space to launch in.
Who hunted Instant Search?
Instant Search was hunted by Dmitry Dolgopolov. 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 Instant Search stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dmitry Dolgopolov