Over the last year, we've been obsessed with one problem: making AI inference faster and more efficient. As we worked with developers building AI products, we kept seeing the same tradeoff:
Use closed-source AI APIs and give up privacy and control. or Run open-weight models yourself and spend time managing infrastructure.
We built Zro so developers don't have to choose.
With Zro, you get a fast, OpenAI-compatible API for open-weight models with:
🌏 Multi-region hosted inference 🔒 Zero data retention & zero training on your prompts 🏢 Optional on-prem deployments ⚡ A serving stack optimized for coding agents and long-context workloads using MoonMath's in-house inference technology. 🛠️ Built for easy setup with the most popular AI coding agents
We're launching early because we want feedback from developers building real AI products. We'd love to know:
Which models should we add next? What features are missing from your current inference provider? What would make you switch?
🎁 Product Hunt launch offer
Use code PRODUCTHUNT to get 1 month of Zro Pro free. Limited to the first 100 users.
We'll be here throughout the day to answer every question. Thanks for checking out Zro, we're excited to hear what you think! 🚀
About Zro on Product Hunt
“Private inference for coding agents”
Zro launched on Product Hunt on July 16th, 2026 and earned 349 upvotes and 50 comments, earning #2 Product of the Day. Fast and optimized open-model inference on multi-region infrastructure with zero request retention.
On the analytics side, Zro competes within API, Developer Tools, Tech and Vercel Day — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Zro performed against the three products that launched closest to it on the same day.
Who hunted Zro?
Zro was hunted by Ben Lang. 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 Zro including community comment highlights and product details, visit the product overview.
Ben Lang
👋 Hi Product Hunt!
We're MoonMath, the team behind Zro.
Over the last year, we've been obsessed with one problem: making AI inference faster and more efficient. As we worked with developers building AI products, we kept seeing the same tradeoff:
Use closed-source AI APIs and give up privacy and control.
or
Run open-weight models yourself and spend time managing infrastructure.
We built Zro so developers don't have to choose.
With Zro, you get a fast, OpenAI-compatible API for open-weight models with:
🌏 Multi-region hosted inference
🔒 Zero data retention & zero training on your prompts
🏢 Optional on-prem deployments
⚡ A serving stack optimized for coding agents and long-context workloads using MoonMath's in-house inference technology.
🛠️ Built for easy setup with the most popular AI coding agents
We're launching early because we want feedback from developers building real AI products. We'd love to know:
Which models should we add next?
What features are missing from your current inference provider?
What would make you switch?
🎁 Product Hunt launch offer
Use code PRODUCTHUNT to get 1 month of Zro Pro free.
Limited to the first 100 users.
We'll be here throughout the day to answer every question. Thanks for checking out Zro, we're excited to hear what you think! 🚀