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OpenInfer
Keep your OpenClaw agents running. Free beta, no code change
Inference engines were built for conversational AI. Same compute, same cost for every request. Agentic AI is different: always-on, background workloads, massive context sizes. OpenInfer disaggregates model execution across heterogeneous compute nodes, unlocking hardware conventional stacks cannot use. No high-end GPU dependency. A fundamentally different cost structure. OpenInfer Beta is FREE for background workloads. The inference stack built for agentic AI.
Hey Product Hunt 👋 — Behnam here, founder of OpenInfer. The inference stack was designed for chat. Every AI request gets the same treatment: same compute, same cost, regardless of what the workload actually needs. That works fine when a human is waiting on a response. It's the wrong approach entirely for a background agent running for hours with nobody watching. Here's what that means in practice: 90% of your agent workloads are latency-tolerant, routine, and always-on — but you're paying premium GPU prices for all of them. Every session. Every time. We built OpenInfer to fix this. The idea is simple: route each session to the compute it actually needs. High-SLA sessions — human in the loop, real-time — get premium hardware. Background agents, async tasks, always-on workloads get routed to lower-cost GPUs and leaner infrastructure at a fraction of the price. The routing is automatic. Your model doesn't change. Your code doesn't change. Starting today, background task inference is free. If you're running OpenClaw and getting hit by Anthropic's restrictions — we're a drop-in replacement. Zero code changes. Running on AWS to start. openinfer.io/beta We're a small team moving fast. Honest feedback is very valuable to us. Happy to answer anything in the comments. Also join our community to ask questions, request any features or give us feedback, we love to hear from you: https://discord.gg/sBQSSXue
About OpenInfer on Product Hunt
“Keep your OpenClaw agents running. Free beta, no code change”
OpenInfer was submitted on Product Hunt and earned 20 upvotes and 19 comments, placing #58 on the daily leaderboard. Inference engines were built for conversational AI. Same compute, same cost for every request. Agentic AI is different: always-on, background workloads, massive context sizes. OpenInfer disaggregates model execution across heterogeneous compute nodes, unlocking hardware conventional stacks cannot use. No high-end GPU dependency. A fundamentally different cost structure. OpenInfer Beta is FREE for background workloads. The inference stack built for agentic AI.
On the analytics side, OpenInfer competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how OpenInfer performed against the three products that launched closest to it on the same day.
Who hunted OpenInfer?
OpenInfer was hunted by Behnam B. 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 OpenInfer including community comment highlights and product details, visit the product overview.
Behnam B
Hey Product Hunt 👋 — Behnam here, founder of OpenInfer.
The inference stack was designed for chat. Every AI request gets the same treatment: same compute, same cost, regardless of what the workload actually needs. That works fine when a human is waiting on a response. It's the wrong approach entirely for a background agent running for hours with nobody watching.
Here's what that means in practice: 90% of your agent workloads are latency-tolerant, routine, and always-on — but you're paying premium GPU prices for all of them. Every session. Every time.
We built OpenInfer to fix this. The idea is simple: route each session to the compute it actually needs. High-SLA sessions — human in the loop, real-time — get premium hardware. Background agents, async tasks, always-on workloads get routed to lower-cost GPUs and leaner infrastructure at a fraction of the price. The routing is automatic. Your model doesn't change. Your code doesn't change.
Starting today, background task inference is free.
If you're running OpenClaw and getting hit by Anthropic's restrictions — we're a drop-in replacement. Zero code changes. Running on AWS to start.
openinfer.io/beta
We're a small team moving fast. Honest feedback is very valuable to us. Happy to answer anything in the comments. Also join our community to ask questions, request any features or give us feedback, we love to hear from you: https://discord.gg/sBQSSXue