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OrcaRouter
Zero-Markup LLM Adaptive Routing Across 150+ Providers
OrcaRouter automatically selects the best model for every prompt across 150+ providers and 200+ frontier + open-source models — reducing inference cost, improving latency, and increasing reliability without sacrificing quality.
We built OrcaRouter after seeing the same problem everywhere:
Teams were routing every request through expensive frontier models — even when a lightweight open-source model could do the job just as well.
That creates a weird tradeoff: → better quality = higher cost → lower cost = worse UX
We thought the routing layer itself should solve this.
So OrcaRouter automatically picks the best model for each request across 150+ providers and 200+ models — balancing quality, latency, reliability, and cost in real time.
A few things we cared deeply about while building it:
• No token markup. You pay provider pricing directly. • No vendor lock-in. Hosted or fully open-source deployment. • No fragile infra. Automatic failover + provider fallback built in. • No painful migration. If you use OpenAI/OpenRouter, integration takes minutes.
You can use GPT-5 only when reasoning is actually hard, route simpler tasks to OSS models, and optimize inference automatically without changing your app logic.
Get $5 free LLM API credits to start building with OrcaRouter 🚀
Would genuinely love feedback from developers building AI products today: What’s been your biggest frustration with model routing, cost, or reliability lately?
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About OrcaRouter on Product Hunt
“Zero-Markup LLM Adaptive Routing Across 150+ Providers”
OrcaRouter was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #134 on the daily leaderboard. OrcaRouter automatically selects the best model for every prompt across 150+ providers and 200+ frontier + open-source models — reducing inference cost, improving latency, and increasing reliability without sacrificing quality.
OrcaRouter was featured in API (98.2k followers), Open Source (68.5k followers), Artificial Intelligence (469.9k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 141.1k products, making this a competitive space to launch in.
Who hunted OrcaRouter?
OrcaRouter was hunted by Israt Jahan. 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.
Want to see how OrcaRouter stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Israt Jahan
Hey Product Hunt 👋
We built OrcaRouter after seeing the same problem everywhere:
Teams were routing every request through expensive frontier models — even when a lightweight open-source model could do the job just as well.
That creates a weird tradeoff:
→ better quality = higher cost
→ lower cost = worse UX
We thought the routing layer itself should solve this.
So OrcaRouter automatically picks the best model for each request across 150+ providers and 200+ models — balancing quality, latency, reliability, and cost in real time.
A few things we cared deeply about while building it:
• No token markup. You pay provider pricing directly.
• No vendor lock-in. Hosted or fully open-source deployment.
• No fragile infra. Automatic failover + provider fallback built in.
• No painful migration. If you use OpenAI/OpenRouter, integration takes minutes.
You can use GPT-5 only when reasoning is actually hard, route simpler tasks to OSS models, and optimize inference automatically without changing your app logic.
Get $5 free LLM API credits to start building with OrcaRouter 🚀
Would genuinely love feedback from developers building AI products today:
What’s been your biggest frustration with model routing, cost, or reliability lately?
We’ll be around all day answering everything 🙌