AI-Evals.io
Evaluate this site with the tools it reviews
Details
- External ID
- 47026263
- Source
- HN
- Company
- —
- Product
- AI-Evals.io
- Website domain
- ai-evals.io
- Launched
- Feb. 15, 2026
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.10512129380053908
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
I've been working on a site [1] to give people control of their LLM workflows through AI evals - automated checks that, once defined, let you move fast without regressions and cut through hype with proof.That one-liner is aimed at software engineers, but I've spent my career helping cross-functional teams collaborate, and that's really what this is about. AI agents make powerful workflows very plausible, but only if teams can grow them incrementally without losing control - no vendor lock-in, no discipline silos, no blind trust in outputs.The site tries to meet different audiences where they are, with mostly practice over theory: tool comparisons, minimal approaches, and freedom to work at whatever level of complexity serves you - whether that's Claude Code with Agent Skills, local models, or custom Python agents.As a fun "eat your own dog food" experiment, I use the site itself as the reproducible cookbook ("eval-ception") [2]. It's the quickest way to feel what different eval tools are actually like in practice.I welcome feedback, contributions, or stories. More on the project and what's coming [3]. It's a rewarding area once you realize you can keep control and move methodically - doesn't matter if it's the smallest model or a swarm.[1] https://ai-evals.io/[2] https://ai-evals.io/cookbook/eval-ception.html[3] https://ai-evals.io/about/
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- evaluate ai models and tools
- Manually corrected
- False
Could you build this?
Yes This is a Quarto/markdown-based documentation and review website evaluating LLM eval tools, which is static content paired with existing eval API benchmarks.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one — 346 launches clear the similarity bar, closest 8 shown.
Attention rank: #324 of 347 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 109 days after the earliest competitor.
- Agent-evals · hn · 2026-05-04 · 9 upvotes · similarity 0.55
- AgentX · ph · 2026-06-22 · 523 upvotes · similarity 0.49
- Autofix Bot · hn · 2025-12-11 · 37 upvotes · similarity 0.47
- LLM agents that write Python to analyze execution traces at scale · hn · 2026-03-07 · 5 upvotes · similarity 0.47
- First autonomous ML and AI engineering Agent · hn · 2026-01-22 · 5 upvotes · similarity 0.46
- Open tool for testing your AI Agents (No LLM) · hn · 2026-08-28 · 5 upvotes · similarity 0.46
- Spec27 · hn · 2026-04-30 · 13 upvotes · similarity 0.45
- Agent-skills-eval · hn · 2026-05-07 · 79 upvotes · similarity 0.44
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.