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).
Bee's developer surface is live: a drop-in OpenAI-compatible /chat/completions endpoint, official Python (bee-sdk) and TypeScript (@heossi/bee) SDKs, a CLI for scripting, and a hosted MCP server for Claude, Cursor, Continue, and Zed. Point your existing OpenAI code at Bee and it works — no rewrites. Tiered models, tenant-isolated retrieval, post-quantum security paths, and base models never trained on your data. Built by HEOSSI in Singapore.
Hi Product Hunt — Christopher here, founder of HEOSSI.
When we built Bee's API, the design goal was simple: if you've written code against OpenAI, you should be able to point it at Bee and have it just work. Same /chat/completions shape, official Python and TypeScript SDKs, a CLI for scripting, and an MCP server so Bee drops straight into Claude, Cursor, Continue, and Zed.
What's underneath is the part we care about most. Tenant-isolated retrieval. Base models never trained on your data. Post-quantum security paths for teams that need them. And a tiered model ladder so you can start on the free tier and scale to governed or sovereign deployment without changing your integration.
$10 in API credits for the PH community to try it. Docs are at bee.heossi.com/docs — I'll be here all day answering anything technical. What's the one thing that would make you switch LLM providers?
Tried Bee out and the OpenAI-compatible drop-in made the switch painless, but what actually surprised me was the post-quantum crypto running by default. Feels like the kind of thing that should already be standard everywhere.
honestly this looks pretty cool, especially the IBM quantum integration part. one thing i'd love to see is a visual playground or notebook where non-developers can actually try out the quantum-enhanced reasoning instead of just hitting an API. would help a lot with adoption imo
A native SDK for at least one mobile framework would make this way more approachable. Most teams experimenting with post-quantum secure LLM calls will want to prototype on-device before wiring up sovereign backends, and right now it sounds like everything routes through the API.
About Bee for Developers on Product Hunt
“The quantum-native LLM API — OpenAI-compatible”
Bee for Developers was submitted on Product Hunt and earned 8 upvotes and 7 comments, placing #94 on the daily leaderboard. Bee's developer surface is live: a drop-in OpenAI-compatible /chat/completions endpoint, official Python (bee-sdk) and TypeScript (@heossi/bee) SDKs, a CLI for scripting, and a hosted MCP server for Claude, Cursor, Continue, and Zed. Point your existing OpenAI code at Bee and it works — no rewrites. Tiered models, tenant-isolated retrieval, post-quantum security paths, and base models never trained on your data. Built by HEOSSI in Singapore.
Bee for Developers was featured in API (98.4k followers), Developer Tools (515.9k followers), Artificial Intelligence (473.8k followers), SDK (800 followers) and Vercel Day (28 followers) on Product Hunt. Together, these topics include over 196.5k products, making this a competitive space to launch in.
Who hunted Bee for Developers?
Bee for Developers was hunted by Christopher Frost. 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.
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Christopher Frost