Orion
Catch bugs before your customers do
Orion launched on August 2, 2026 with 3 votes, #2,940 of 23,273 launches that month and more than 50% of that year's launches.
What it does
Orion is an autonomous QA agent that tests your product before customers do. Tell it what to test, and it explores real user journeys, finds bugs, and shows you exactly what went wrong - so your team can confidently launch AI-generated features without spending hours on manual QA
Orion reads your repositories, tests your deployed web app in a real browser, and returns evidence: video, traces, and deterministic Playwright tests.
Orion reads your code, tests your app in a real browser, and hands you a video-backed bug report in minutes. No test code to write. No QA hire. Expired coupon accepted. The client checks the date; the API never re-validates. AI writes a bigger share of your code every quarter. Verification never scaled with it, and that untested surface is exactly where production incidents live. So after every update, Orion clicks through your site like a real customer and flags what broke, with video proof. Watch it work. Your team ships an update. Orion signs up like a new customer would. No test code, no selectors, no maintenance. You describe the behavior; Orion plans from the code and proves what it…from orion.10ex.ai
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Bugster2025 · bugster.dev · ▲419Bugster is a dev-first testing agent that runs UI tests without setup overhead. – Install and authenticate from terminal – Auto-generates an E2E test suite – Run locally or integrate with GitHub When integrated with GitHub: – Executes only relevant tests for each PR – Runs in Vercel preview environment – Comments results directly on the PR Works out of the box with Next.js + Vercel. Would love your feedback → https://www.bugster.dev/
QA.tech 1.02025 · qa.tech · ▲413Hi, I'm Daniel, CEO of QA.tech. We've spent the past 18 months developing a cool tool that allows you to run end-to-end tests on any web application using natural language. Check it out and let us know what you think! I used to be a CTO at a B2C marketplace and was taken aback that all qa agencies we talked to wanted to create a custom suite of tests from scratch. Even though we were essentially a e-com with the same functionality as everyone else. Why weren't there any best practices? Some time later my co-founders and I had moved on and were looking for the next thing to do. AI agents…
Chat with Orion – a visual agent that sees, reasons and actsNov 2025 · chat.vlm.run · ▲22Hey HN! We’re excited to share Orion [1] — our new visual agent that sees, reasons, and acts across images, videos, and documents. Frontier VLMs (GPT, Claude, Gemini) can describe what they see, but they can’t reliably act on visual inputs. Ask them to detect objects, segment images, or chain visual steps — they’ll fail in surprisingly inconsistent ways. High-res images collapse to ~1024px. And the visual AI ecosystem is fragmented across separate APIs for image understanding, OCR, image-gen, video-gen, etc. We built Orion to fix this. Orion combines VLM reasoning with reliable…
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