One AI gateway with built-in observability and evals
Respan AI Gateway connects your app to 1,000+ AI models through one endpoint. But routing is the easy part. Respan keeps production AI reliable and under control with fallbacks, retries, caching, spend limits, alerts, and full traces for every call. Gateway, observability, evals, prompt management, monitors, and cost controls all run on one platform, so you do not need to stitch together five tools to debug production.
We built Respan AI Gateway because routing to more models is only the first step.
Once your AI product is in production, the harder questions show up fast:
What happens when a provider fails?
Which customer is driving cost?
Which model version caused the latency spike?
Did the fallback work?
How do we trace, evaluate, and control everything without stitching together five tools?
Respan Gateway gives teams one OpenAI- and Anthropic-compatible endpoint for 1,000+ models, with fallbacks, retries, caching, spend limits, alerts, traces, evals, prompt management, and monitors on the same platform.
The goal is simple: make production AI easier to ship, debug, and control.
Would love your feedback, questions, and support today!
About Respan Gateway on Product Hunt
“One AI gateway with built-in observability and evals”
Respan Gateway launched on Product Hunt on June 11th, 2026 and earned 441 upvotes and 52 comments, earning #3 Product of the Day. Respan AI Gateway connects your app to 1,000+ AI models through one endpoint. But routing is the easy part. Respan keeps production AI reliable and under control with fallbacks, retries, caching, spend limits, alerts, and full traces for every call. Gateway, observability, evals, prompt management, monitors, and cost controls all run on one platform, so you do not need to stitch together five tools to debug production.
On the analytics side, Respan Gateway competes within Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Respan Gateway performed against the three products that launched closest to it on the same day.
Who hunted Respan Gateway?
Respan Gateway was hunted by Garry Tan. 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.
Hi Product Hunt,
We built Respan AI Gateway because routing to more models is only the first step.
Once your AI product is in production, the harder questions show up fast:
What happens when a provider fails?
Which customer is driving cost?
Which model version caused the latency spike?
Did the fallback work?
How do we trace, evaluate, and control everything without stitching together five tools?
Respan Gateway gives teams one OpenAI- and Anthropic-compatible endpoint for 1,000+ models, with fallbacks, retries, caching, spend limits, alerts, traces, evals, prompt management, and monitors on the same platform.
The goal is simple: make production AI easier to ship, debug, and control.
Would love your feedback, questions, and support today!