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AI Badgr
Run AI apps with reliable APIs and GPU compute
AI Badgr is infrastructure for production AI apps. Use one OpenAI-compatible API for OpenAI, Claude, Gemini, and open models with retries, fallback routing, request tracking, and receipts. For GPU workloads, use Badgr to serve open-source models or run GPU jobs from the command line. One account, one API key, one receipt trail across AI requests and GPU execution.
Hey Product Hunt, I’m Michael, founder of AI Badgr.
I built AI Badgr because production AI apps need more than model access. They need reliability, fallback routing, request tracking, and GPU execution when teams want to run their own workloads.
AI Badgr has two core paths:
1. Use one OpenAI-compatible API for OpenAI, Claude, Gemini, and open models, with retries, fallbacks, and per-request receipts.
2. Run GPU workloads with Badgr: serve open-source models as OpenAI-compatible endpoints or run GPU jobs from the command line.
The goal is simple: give developers one execution layer for production AI apps, whether they’re calling hosted models or running GPU workloads directly.
Would love feedback from builders running AI in production.
About AI Badgr on Product Hunt
“Run AI apps with reliable APIs and GPU compute”
AI Badgr was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #141 on the daily leaderboard. AI Badgr is infrastructure for production AI apps. Use one OpenAI-compatible API for OpenAI, Claude, Gemini, and open models with retries, fallback routing, request tracking, and receipts. For GPU workloads, use Badgr to serve open-source models or run GPU jobs from the command line. One account, one API key, one receipt trail across AI requests and GPU execution.
On the analytics side, AI Badgr competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how AI Badgr performed against the three products that launched closest to it on the same day.
Who hunted AI Badgr?
AI Badgr was hunted by Michael Nahu. 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 AI Badgr including community comment highlights and product details, visit the product overview.
Michael Nahu