Build evals and custom benchmarks for real-world tasks
Run eval experiments at scale in realistic environments. Define custom task sets to build your private benchmarks, measure how well agents can use any product, and find best models for your use cases. Generate dynamic insights to detect frictions in product interfaces or token inefficiencies.
Hey Product Hunters, I’m Haritha, co-founder of Oqoqo
Every week there is a new model launch and yet another benchmark released in the wild. But they do not help product builders evaluate how well their products can be discovered and used by these agents and models, or talk about actual tasks their users would perform. Most benchmarks today exist in curated environments and do not translate well to the real world.
We built Oqoqo to bridge this gap. Oqoqo makes it super simple to build realistic evals and custom benchmarks for tasks users actually care about.
With Oqoqo, you can define tasks as simple as a prompt your user might give to an agent e.g. “integrate supabase to my webapp to store user sign ups”, provide what you want to test for e.g. Supabase SDK, API, CLI etc. and define what success looks like e.g. “must set up RLS”.
We handle the rest. Our infrastructure spins up isolated sandboxes, executes the tasks against agents of your choice, catalogs every single step the agents take including tool calls, retries, discovery loops etc, and documents token consumption, cost, along with evaluating success/failure based on your success criteria.
With Oqoqo you can:
Reliably measure how agent friendly your product surfaces are against Codex, Claude Code, OpenClaw, Hermes, Pi, Opencode, Cursor, GitHub Copilot
Regression test MCP, CLI, skills, SDK, and any agent facing interface (we are continuously using Oqoqo to dogfood and improve our own MCP/CLI)
Create and share custom benchmarks for how agents discover and use your product
Compare models and harnesses for domain specific tasks
See whether new versions improve agent experience
We built Oqoqo for teams building products that agents want to use, and for teams putting agents into day to day work.
And the best thing? Your agent can handle the setup for you ✨, try it out for free today: https://oqoqo.ai/
We would love to learn what kind of experiments you would like to run and what questions you have about agent interactions and agent experience.
About oqoqo on Product Hunt
“Build evals and custom benchmarks for real-world tasks”
oqoqo launched on Product Hunt on August 10th, 2026 and earned 310 upvotes and 29 comments, earning #1 Product of the Day. Run eval experiments at scale in realistic environments. Define custom task sets to build your private benchmarks, measure how well agents can use any product, and find best models for your use cases. Generate dynamic insights to detect frictions in product interfaces or token inefficiencies.
On the analytics side, oqoqo competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how oqoqo performed against the three products that launched closest to it on the same day.
Who hunted oqoqo?
oqoqo was hunted by fmerian. 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 oqoqo including community comment highlights and product details, visit the product overview.
fmerian
Hey Product Hunters, I’m Haritha, co-founder of Oqoqo
Every week there is a new model launch and yet another benchmark released in the wild. But they do not help product builders evaluate how well their products can be discovered and used by these agents and models, or talk about actual tasks their users would perform. Most benchmarks today exist in curated environments and do not translate well to the real world.
We built Oqoqo to bridge this gap. Oqoqo makes it super simple to build realistic evals and custom benchmarks for tasks users actually care about.
With Oqoqo, you can define tasks as simple as a prompt your user might give to an agent e.g. “integrate supabase to my webapp to store user sign ups”, provide what you want to test for e.g. Supabase SDK, API, CLI etc. and define what success looks like e.g. “must set up RLS”.
We handle the rest. Our infrastructure spins up isolated sandboxes, executes the tasks against agents of your choice, catalogs every single step the agents take including tool calls, retries, discovery loops etc, and documents token consumption, cost, along with evaluating success/failure based on your success criteria.
With Oqoqo you can:
Reliably measure how agent friendly your product surfaces are against Codex, Claude Code, OpenClaw, Hermes, Pi, Opencode, Cursor, GitHub Copilot
Regression test MCP, CLI, skills, SDK, and any agent facing interface (we are continuously using Oqoqo to dogfood and improve our own MCP/CLI)
Create and share custom benchmarks for how agents discover and use your product
Compare models and harnesses for domain specific tasks
See whether new versions improve agent experience
We built Oqoqo for teams building products that agents want to use, and for teams putting agents into day to day work.
And the best thing? Your agent can handle the setup for you ✨, try it out for free today: https://oqoqo.ai/
We would love to learn what kind of experiments you would like to run and what questions you have about agent interactions and agent experience.