oqoqo
Build evals and custom benchmarks for real-world tasks
Details
- External ID
- 1199424
- Source
- PH
- Company
- —
- Product
- oqoqo
- Website domain
- producthunt.com
- Launched
- Aug. 10, 2026
- Cohort
- —
- Upvotes
- 339
- Upvotes percentile
- 0.7471910112359551
- Tags
- Software Engineering, Developer Tools, Artificial Intelligence
- Fetched at
- Sept. 7, 2026, 1:22 a.m.
- Updated at
- Sept. 7, 2026, 1:22 a.m.
Description
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.
Enrichment
- Theme
- database infrastructure and developer tools
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- build evaluations and benchmarks for ai systems
- Manually corrected
- False
Could you build this?
Partial The dashboard for defining tasks, rubrics, and visualizing benchmark trajectories is standard CRUD, but orchestrating isolated, scalable cloud VM sandboxes (with CLI/MCP server setups and network isolation) requires substantial infrastructure engineering.
What it would actually take: The architecture requires a microVM orchestration engine (such as Firecracker, Fly.io Machines, or Nomad) to spin up isolated execution environments per task run. A worker fleet must manage environment setup (CLIs, API keys, MCP servers), securely capture execution telemetry/trajectories, and pipe results into an asynchronous evaluation pipeline (LLM judges + unit tests) backed by ClickHouse or Postgres.
Competitors
Other products that read as similar to this one — 9 launches clear the similarity bar, closest 8 shown.
Attention rank: #2 of 10 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 180 days after the earliest competitor.
- PeakoQ · ph · 2026-09-23 · 1 upvotes · similarity 0.46
- hiloop: we run thousands of experiments to improve your models · yc · 2026-07-29 · 8 upvotes · similarity 0.39
- Logic · ph · 2026-04-27 · 274 upvotes · similarity 0.33
- Open Benchmarks Grants– a $3M commitment to close the AI eval gap · hn · 2026-02-11 · 6 upvotes · similarity 0.33
- Agent Mode on Arena · ph · 2026-06-05 · 188 upvotes · similarity 0.33
- AQQAI · ph · 2026-09-18 · 1 upvotes · similarity 0.32
- eval-standard-builder-skill · github · 2026-09-14 · 8 upvotes · similarity 0.31
- Artificial Analysis tool to create custom benchmarks for any use case · hn · 2026-08-13 · 11 upvotes · similarity 0.31
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.