Top all-time · #8870
Confident AI
Company blog · confident-ai.com/blog · on HN as jeffreyipaidata
Confident AI is the company blog at confident-ai.com, writing about ai and data. Since 2023, 9 different Hacker News readers have linked it 21 times, most often “Everything I know about LLM evaluation metrics”. It is still writing: the last post was on 2026-10-29, and you can follow it by feed.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
The only comment is a question listing YC-funded LLMOps and AI agent observability products, with no discussion of the linked writing. The linked posts appear to concern LLM evaluation and agent observability tools.
Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Confident AI is the AI quality platform for enterprise teams to standardize AI evals and observability across the org — one consistent bar for how every team measures and monitors their AI.
Most-linked posts?
- Everything I know about LLM evaluation metrics4 people · 5 mentions · first linked 2024-01-24
- Be confident about your LLM stack2 people · 2 mentions · first linked 2023-08-15
What Hacker News says?
I've been keeping a rolling list of LLMOps/AI agent observability products funded by YC. What problems does Lucidic solve that the others do not? https://hegel-ai.com https://www.vellum.ai/ https://www.parea.ai http://baserun.ai https://www.traceloop.com https://www.trychatter.ai https://talc.ai https://langfuse.com https://humanloop.com https://uptrain.ai https://athina.ai https://relari.ai https://phospho.ai https…
Comment linking /
on “Launch HN: Lucidic (YC W25) – Debug, test, and evaluate AI agents in production”Submitted Everything I know about LLM evaluation metrics as a story · 7 points
HN discussionSubmitted YC helped us raise our seed round in 5 days as a story · 4 points
HN discussionSubmitted Best Practices for Unit Testing RAG Systems in Prod as a story · 4 points
HN discussionSubmitted How to evaluate multi-turn LLM chatbots as a story · 3 points
HN discussionSubmitted AI Agent Evaluation: The Definitive Guide to Testing AI Agents as a story · 2 points
HN discussionSubmitted AI Agent Evaluation: The Definitive Guide to Testing AI Agents as a story · 2 points
HN discussionSubmitted The Complete LLM Evaluation Playbook: How To Run LLM Evals That Matter as a story · 2 points
HN discussionSubmitted How to build your own LLM evaluation framework as a story · 2 points
HN discussionSubmitted I wrote an article about everything I know about LLM metrics as a story · 2 points
HN discussionSubmitted I used QAG to implement an LLM text summarization evals as a story · 2 points
HN discussionSubmitted We Replaced Pinecone with PGVector as a story · 2 points
HN discussionSubmitted LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide as a story · 1 points
HN discussionSubmitted LLM Evaluation Metrics as a story · 1 points
HN discussionSubmitted LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide as a story · 1 points
HN discussionSubmitted We wrote a comprehensive guide on LLM security as a story · 1 points
HN discussionSubmitted How to generate synthetic data using SOTA data evolution methods as a story · 1 points
HN discussionSubmitted Overview of All Major LLM Benchmarks as a story · 1 points
HN discussionSubmitted Best practices I learnt from helping health tech enterprise test LLMs as a story · 1 points
HN discussionSubmitted What Is RAG? (With Examples) as a story · 1 points
HN discussionSubmitted Be confident about your LLM stack as a story · 1 points
HN discussion