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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.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.