Openlayer – Test, fix, and improve your ML models
Hey HN, my name is Vikas, and my cofounders Rish, Gabe and I are building Openlayer: http://openlayer.com/ Openlayer is an ML testing, evaluation, and observability platform designed to help teams pinpoint and resolve issues in their models. We were ML engineers experiencing the struggle that goes into properly evaluating models, making them robust to the myriad of unexpected edge cases they encounter in production, and understanding the reasons behind their mistakes. It was like playing an endless game of whack-a-mole with Jupyter notebooks and CSV files — fix one issue and…
Openlayer – Test, fix, and improve your ML models launched on May 15, 2023 with 53 votes, #1,494 of 4,910 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Openlayer is a platform for testing, evaluating, and monitoring machine learning models in production. It helps ML teams identify and fix issues like unexpected edge cases and model errors that traditional software testing tools cannot handle. The platform is designed for teams struggling with error analysis, model robustness, and understanding prediction failures across diverse datasets. It addresses the challenge of manually tracking issues through notebooks and spreadsheets by providing a centralized system for evaluation and observability.
written from the facts on this page · September 2026
From the sources
Openlayer is the AI governance and observability platform for regulated enterprises: one place to test, monitor, and govern every model, agent, and AI system your company runs.
The AI governance platform that tests before you ship, monitors what's live, and enforces policy in real time. Audit-ready evidence comes standard. Your controls are not keeping up. Your controls are not keeping up. Copilots, agents, and models are going to production across every business unit. Most companies can't list them, few can test them, and almost none can prove to a regulator what any of them did last Tuesday. Each layer delivers value on its own. Together, they turn scattered AI into systems you can govern, observe, and prove are under control. Know every AI system running, org-wide inventory and automatic shadow-AI detection. You can’t govern what you can’t see, so this is where…from openlayer.com
In the maker’s words, at launch
Hey HN, my name is Vikas, and my cofounders Rish, Gabe and I are building Openlayer: http://openlayer.com/ Openlayer is an ML testing, evaluation, and observability platform designed to help teams pinpoint and resolve issues in their models. We were ML engineers experiencing the struggle that goes into…
Does a similar job
all alternatives →

OpenSEOJul 2026 · openseo.so · ▲928Hello! For the last 2 months, I've been building OpenSEO. It's a user friendly UI wrapping the DataForSEO API which has high quality SEO data for keywords, backlinks, AI SEO and competitor research. Instead of paying $100+ per month, you buy DataForSEO credits and pay only for usage. The coolest thing about the project so far has been hearing about what people are building on top of it. People are using coding agents to quickly integrate with Google Search Console, Google Ads and building their own AI SEO and reporting features. Many were already building their own custom solutions around…
Deepchecks Testing Package2022 · github.com · ▲186Open source tool for testing & validating your model & data
TensorZero2025 · github.com · ▲307Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
AI Observability by OpenObserveAug 2026 · openobserve.ai · ▲317OpenTelemetry-native observability for agents and LLMs
More dev tools this month
the category →

open-source IDE for thoughtful software design. Contribute to devdotfast/whiteboard development by creating an account on GitHub.
Dev tools · 27d ago · github.com

Contribute to reladraw/reladraw development by creating an account on GitHub.
Dev tools · 25d ago · github.com
OpenBot▲362Grok Bot alternative: free, local, open-source, multiplayer
Dev tools · 23d ago · openbot.run
Talanoa▲345Hi HN, I’m a fullstack developer, and honestly, I’ve lost count of how many side projects I’ve worked on over the years. But one idea kept coming back to me: a different kind of email client. It first came to me in 2014: “What if we could handle emails more like conversations?” Every year, I’d revisit this concept in my “Build Notes.” Ten years later, no one had built exactly what I had in mind — so I finally decided to do it myself. That’s how Talanoa was born. I wanted something focused on people, not timelines. I was tired of marking messages as unread just to remember to reply later, or…
Dev tools · 20d ago · talanoa.email
CoreSpeed▲332One MCP for everything your agents need: apps, memory, tools
Dev tools · 28d ago · corespeed.io
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, May 2023
the whole month →

In today's world, catchy headlines and articles often distract readers from the facts and relevant information. By utilizing OpenAI's language models, Boring Report processes sensationalist news articles, transforms them into the content you see, and helps readers focus on the essential details. We recently updated our iOS app experience, so any and all feedback would be appreciated. App Link: https://apps.apple.com/us/app/boring-report-news-by-ai/id644...
AI · 2023 · boringreport.org


Momentum Page▲834Launch your website in seconds, get users in minutes
Dev tools · 2023 · page.mmntm.build
