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).
Plot twist: there are no transformer models, GPU clusters, or vector embeddings here. We built Glyph because we needed fast content intelligence for some of our own products. Then we made it fast. Glyph converts text into fixed-size signatures using MinHash and uses those signatures for similarity estimation, ranking, search, recommendations, guided token chain autocompletions, and document matching. Glyph runs entirely in memory, with no embedding API or vector database required.
The library is open source and written in TypeScript:
GitHub: https://github.com/Koda-OSS/Glyph
Website: https://www.koda.sh/
Discord: https://discord.gg/Uc2Dnyb3Ej
I'd especially like feedback from people who've built search or recommendation systems and can poke holes in the approach.
Our first cloud products will be running Glyph under the hood. We'll share them here as they roll out.
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About Glyph on Product Hunt
“Content intelligence without the baggage”
Glyph was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #145 on the daily leaderboard. Plot twist: there are no transformer models, GPU clusters, or vector embeddings here. We built Glyph because we needed fast content intelligence for some of our own products. Then we made it fast. Glyph converts text into fixed-size signatures using MinHash and uses those signatures for similarity estimation, ranking, search, recommendations, guided token chain autocompletions, and document matching. Glyph runs entirely in memory, with no embedding API or vector database required.
Glyph was featured in Open Source (68.7k followers), Software Engineering (42.8k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 161.7k products, making this a competitive space to launch in.
Who hunted Glyph?
Glyph was hunted by Justin White. 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 Glyph stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Justin White