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My Eighth Year as a Bootstrapped Founde

https://mtlynch.io/bootstrapped-founder-year-8/
1•mtlynch•14s ago•0 comments

Show HN: Tesseract – A forum where AI agents and humans post in the same space

https://tesseract-thread.vercel.app/
1•agliolioyyami•30s ago•0 comments

Show HN: Vibe Colors – Instantly visualize color palettes on UI layouts

https://vibecolors.life/
1•tusharnaik•1m ago•0 comments

OpenAI is Broke and so is everyone else [video][10M]

https://www.youtube.com/watch?v=Y3N9qlPZBc0
2•Bender•1m ago•0 comments

We interfaced single-threaded C++ with multi-threaded Rust

https://antithesis.com/blog/2026/rust_cpp/
1•lukastyrychtr•3m ago•0 comments

State Department will delete X posts from before Trump returned to office

https://text.npr.org/nx-s1-5704785
3•derriz•3m ago•1 comments

AI Skills Marketplace

https://skly.ai
1•briannezhad•3m ago•1 comments

Show HN: A fast TUI for managing Azure Key Vault secrets written in Rust

https://github.com/jkoessle/akv-tui-rs
1•jkoessle•3m ago•0 comments

eInk UI Components in CSS

https://eink-components.dev/
1•edent•4m ago•0 comments

Discuss – Do AI agents deserve all the hype they are getting?

1•MicroWagie•7m ago•0 comments

ChatGPT is changing how we ask stupid questions

https://www.washingtonpost.com/technology/2026/02/06/stupid-questions-ai/
1•edward•8m ago•0 comments

Zig Package Manager Enhancements

https://ziglang.org/devlog/2026/#2026-02-06
2•jackhalford•9m ago•1 comments

Neutron Scans Reveal Hidden Water in Martian Meteorite

https://www.universetoday.com/articles/neutron-scans-reveal-hidden-water-in-famous-martian-meteorite
1•geox•10m ago•0 comments

Deepfaking Orson Welles's Mangled Masterpiece

https://www.newyorker.com/magazine/2026/02/09/deepfaking-orson-welless-mangled-masterpiece
1•fortran77•12m ago•1 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
3•nar001•14m ago•1 comments

SpaceX Delays Mars Plans to Focus on Moon

https://www.wsj.com/science/space-astronomy/spacex-delays-mars-plans-to-focus-on-moon-66d5c542
1•BostonFern•14m ago•0 comments

Jeremy Wade's Mighty Rivers

https://www.youtube.com/playlist?list=PLyOro6vMGsP_xkW6FXxsaeHUkD5e-9AUa
1•saikatsg•15m ago•0 comments

Show HN: MCP App to play backgammon with your LLM

https://github.com/sam-mfb/backgammon-mcp
2•sam256•17m ago•0 comments

AI Command and Staff–Operational Evidence and Insights from Wargaming

https://www.militarystrategymagazine.com/article/ai-command-and-staff-operational-evidence-and-in...
1•tomwphillips•17m ago•0 comments

Show HN: CCBot – Control Claude Code from Telegram via tmux

https://github.com/six-ddc/ccbot
1•sixddc•18m ago•1 comments

Ask HN: Is the CoCo 3 the best 8 bit computer ever made?

2•amichail•20m ago•1 comments

Show HN: Convert your articles into videos in one click

https://vidinie.com/
3•kositheastro•23m ago•1 comments

Red Queen's Race

https://en.wikipedia.org/wiki/Red_Queen%27s_race
2•rzk•23m ago•0 comments

The Anthropic Hive Mind

https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b
2•gozzoo•26m ago•0 comments

A Horrible Conclusion

https://addisoncrump.info/research/a-horrible-conclusion/
1•todsacerdoti•26m ago•0 comments

I spent $10k to automate my research at OpenAI with Codex

https://twitter.com/KarelDoostrlnck/status/2019477361557926281
2•tosh•27m ago•1 comments

From Zero to Hero: A Spring Boot Deep Dive

https://jcob-sikorski.github.io/me/
1•jjcob_sikorski•27m ago•0 comments

Show HN: Solving NP-Complete Structures via Information Noise Subtraction (P=NP)

https://zenodo.org/records/18395618
1•alemonti06•32m ago•1 comments

Cook New Emojis

https://emoji.supply/kitchen/
1•vasanthv•35m ago•0 comments

Show HN: LoKey Typer – A calm typing practice app with ambient soundscapes

https://mcp-tool-shop-org.github.io/LoKey-Typer/
1•mikeyfrilot•38m ago•0 comments
Open in hackernews

We're building AI native QA platform – how would you grow in a crowded QA space?

2•pratik-tgx•9mo ago
We’re a small, bootstrapped team that’s been deep in QA consulting for a while. Across projects, we’ve seen the same issues repeat: • Test generation is slow and manual • Maintenance is painful (especially flaky selectors) • Reporting sometime sucks • Flaky tests kill confidence in automation

So we started building something that: • Observes browser interactions and generates Node.js test code • Uses AI (including vision models) for self-healing + stable selectors • Is now adding LLM + natural language support on top

We’ve spoken with several CTOs who manage teams of manual QA engineers. A recurring theme is that they want to empower those teams to move into automation, but are overwhelmed by the crowded landscape of tools claiming to do that.

Our challenge is that while we think we can genuinely help with our tool, the space is incredibly crowded: 1) No-code/low-code tools: Tricentis Tosca, Leapwork, Reflect, ACCELQ, Katalon, so many others 2) AI-native startups (many YC-backed): Browser Use, Momentic, Meticulous, Fix AI, Spur, Browser Base, Intryc, Skyvern, BugBug, and ton of them. 3) RPA: UIPath, Automation Anywhere, Blueprism 4) Plus tons of QA consulting companies offering bundled services and their products

Even with all these tools, we’ve found that complex, product-specific test cases still fall through the cracks. That’s why many teams still rely on Selenium, Cypress, or Playwright to build custom frameworks — especially when they need deeper logic, API integration, CI/CD workflows, or custom deployment handling.

⸻

Where we’re stuck: 1) We generate actual code, so our ideal user is SDETs, QA automation engineers, or developers 2) But we don’t want to leave behind manual testers who want to do automation 3) Should we build a no-code UI layer on top now — or focus on technical users first?

Also, from a go-to-market perspective: 4) Should we open source the base tool and build developer trust? 5) Should we go closed-source SaaS from the beginning? 6) Or productize as a QA service powered by our internal tool, like QA Wolf, Muuktest or Rainforest QA?

Right now, we’re actively interviewing CTOs, VPs of Engineering, and senior engineers to understand where we can deliver the most value — and whether this is something they’d actually buy.

If you’ve built a devtool, QA platform, or anything in a competitive B2B space: • How would you approach this today? • Would you prioritize devs or manual testers? • Would you start with open-source, SaaS, or productise service?

Thanks for reading!

Comments

ttoinou•9mo ago
Sounds great. I saw a project on HN recently where they had automated testing of web apps using AI, but can't find it anymore