Route requests to the right LLM for cost, latency & quality
FastRouter is a unified AI gateway and control plane for developers and enterprise teams building with LLMs. It routes every request to the right model across 200+ LLMs through one OpenAI-compatible API, optimizing for cost, latency, quality, and reliability. With intelligent routing, failover, observability, and governance, teams can scale AI apps without vendor lock-in or code changes.
Hey Product Hunt! I’m RP, part of the team behind FastRouter.ai.
We built FastRouter because running AI in production meant too much plumbing and too much guesswork: multiple SDKs, scattered dashboards, fragile failover, and no clear answer to “How do we make this cheaper without making it worse?” when all the logs are scattered all over the place.
⚡ One integration. Less provider juggling.
FastRouter gives you a unified API across major models and providers, with support for OpenAI, Anthropic Messages, and Gemini-compatible interfaces.
Claude models, for example, are available through Anthropic, Amazon Bedrock, and Google Vertex AI. FastRouter routes requests to healthy upstreams, so you don’t have to maintain separate SDK integrations and failover logic yourself.
Routing is the starting point. Routing Intelligence is what makes FastRouter different.
Most gateways show you traffic and spending. FastRouter helps you figure out what to change:
Proactive cost insights: Weekly recommendations based on real traffic. Find cheaper models, prompt caching opportunities, and workloads suited to flex pricing. Model-switching recommendations include evals so you can compare quality before switching.
Early warning signs: Spot latency drift, error spikes, and cost anomalies, with alerts delivered to Slack or PagerDuty.
Request-level visibility: See which upstream served each request, allocate costs with tags, and inspect logs, including multimodal outputs.
Evals beyond text: Evaluate production traffic and datasets, including images and video. A successful API response doesn’t always mean a usable output.
Multimodal response caching: Reuse cached image and video responses for matching prompts or cache keys instead of calling the model again.
Better prompt management: Keep prompts in a shared, versioned library, with optimization and compression tools to improve them.
Our production customers are already saving $10K+ per month by acting on FastRouter’s recommendations.
Available as SaaS or fully on-prem, with budget caps, alerts, and access controls built in.
We built this to spend less time maintaining integrations and investigating bills, and more time shipping things that work.
What’s your biggest AI production headache right now: reliability, cost, integrations, or quality? Let us know in your comments.
About FastRouter.ai on Product Hunt
“Route requests to the right LLM for cost, latency & quality”
FastRouter.ai launched on Product Hunt on October 5th, 2026 and earned 364 upvotes and 57 comments, earning #2 Product of the Day. FastRouter is a unified AI gateway and control plane for developers and enterprise teams building with LLMs. It routes every request to the right model across 200+ LLMs through one OpenAI-compatible API, optimizing for cost, latency, quality, and reliability. With intelligent routing, failover, observability, and governance, teams can scale AI apps without vendor lock-in or code changes.
On the analytics side, FastRouter.ai competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how FastRouter.ai performed against the three products that launched closest to it on the same day.
Who hunted FastRouter.ai?
FastRouter.ai was hunted by Rohan Chaubey. 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 FastRouter.ai including community comment highlights and product details, visit the product overview.
Rohan Chaubey
Hey Product Hunt! I’m RP, part of the team behind FastRouter.ai.
We built FastRouter because running AI in production meant too much plumbing and too much guesswork: multiple SDKs, scattered dashboards, fragile failover, and no clear answer to “How do we make this cheaper without making it worse?” when all the logs are scattered all over the place.
⚡ One integration. Less provider juggling.
FastRouter gives you a unified API across major models and providers, with support for OpenAI, Anthropic Messages, and Gemini-compatible interfaces.
Claude models, for example, are available through Anthropic, Amazon Bedrock, and Google Vertex AI. FastRouter routes requests to healthy upstreams, so you don’t have to maintain separate SDK integrations and failover logic yourself.
Routing is the starting point. Routing Intelligence is what makes FastRouter different.
Most gateways show you traffic and spending. FastRouter helps you figure out what to change:
Proactive cost insights: Weekly recommendations based on real traffic. Find cheaper models, prompt caching opportunities, and workloads suited to flex pricing. Model-switching recommendations include evals so you can compare quality before switching.
Early warning signs: Spot latency drift, error spikes, and cost anomalies, with alerts delivered to Slack or PagerDuty.
Request-level visibility: See which upstream served each request, allocate costs with tags, and inspect logs, including multimodal outputs.
Evals beyond text: Evaluate production traffic and datasets, including images and video. A successful API response doesn’t always mean a usable output.
Multimodal response caching: Reuse cached image and video responses for matching prompts or cache keys instead of calling the model again.
Better prompt management: Keep prompts in a shared, versioned library, with optimization and compression tools to improve them.
Our production customers are already saving $10K+ per month by acting on FastRouter’s recommendations.
Available as SaaS or fully on-prem, with budget caps, alerts, and access controls built in.
We built this to spend less time maintaining integrations and investigating bills, and more time shipping things that work.
Claim 2 months free: https://fastrouter.ai/product-hunt
What’s your biggest AI production headache right now: reliability, cost, integrations, or quality? Let us know in your comments.