Ghita here, CEO and Co-Founder of ZeroEntropy (YC W25).
We built ZeroEntropy to help developers deploy more accurate retrieval systems, faster. Using our API, you can upload documents of any type, and retrieve accurate and relevant information from your knowledge base, in just a few lines of code.
We just released a new open-weight reranker that outperforms models like Cohere's rerank-3.5, or even Gemini Flash used as a reranker. You can check out the performance here.
ZeroEntropy (YC W25) launched on Product Hunt on July 11th, 2025 and earned 125 upvotes and 26 comments, placing #7 on the daily leaderboard. ZeroEntropy provides state-of-the-art retrieval for developers building AI products.
On the analytics side, ZeroEntropy (YC W25) competes within Artificial Intelligence — topics that collectively have 466.2k followers on Product Hunt. The dashboard above tracks how ZeroEntropy (YC W25) performed against the three products that launched closest to it on the same day.
Who hunted ZeroEntropy (YC W25)?
ZeroEntropy (YC W25) was hunted by Ghita Houir Alami. 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.
For a complete overview of ZeroEntropy (YC W25) including community comment highlights and product details, visit the product overview.
Ghita Houir Alami
Hey guys!
Ghita here, CEO and Co-Founder of ZeroEntropy (YC W25).
We built ZeroEntropy to help developers deploy more accurate retrieval systems, faster. Using our API, you can upload documents of any type, and retrieve accurate and relevant information from your knowledge base, in just a few lines of code.
We just released a new open-weight reranker that outperforms models like Cohere's rerank-3.5, or even Gemini Flash used as a reranker. You can check out the performance here.
If you want to give it a try, you can check out our documentation, and get an API Key on our dashboard.
Happy Searching!