Every QA debug loop looks the same — CI fails, you open logs, Slack, Jira, Grafana. 45 minutes later, still no root cause. Ask AI fixes that. Type a question, get a rendered artifact — dashboards, sprint reports, test plans, stakeholder slides — built from your live Playwright data. No queries. No config. Just answers. Free 14-day trial. No credit card. Built by the founding team behind LambdaTest Test Insights.
Hey Product Hunt 👋
I'm Srivishnu — founder of TestRelic AI and previously on the founding team at LambdaTest where I built Test Insights from zero to scale.
The problem I kept seeing: QA engineers spend more time finding failures than fixing them. 6–9 tools, no single answer, no connection to real user impact.
Ask AI is my first swing at fixing that. Type a question in plain English, get a rendered artifact back — dashboard, report, slides, test plan — built from your live Playwright data. Nothing to configure.
It's early. I'd genuinely love to hear from anyone who's lived this debug loop — what's missing, what doesn't make sense, what you'd want it to do that it doesn't yet.
Try it free at testrelic.ai — no credit card, installs in under 3 minutes.
Happy to answer anything below. 🙏
This resonates a lot! the QA debug loop you describe is painfully real. Jumping between CI logs, monitoring, and tickets just to reconstruct context is where most of the time gets lost.
The “ask → get structured artifact from live data” approach is especially interesting. Turning raw Playwright signals into something like dashboards or test plans without manual querying feels like a big step toward making QA workflows actually usable at scale.
We actually launched on Product Hunt yesterday as well — building Ogoron, an AI system that automatically generates and maintains test coverage as products evolve. Slightly different angle, but very aligned in spirit: reducing the manual overhead around QA and making the system itself do the heavy lifting.
Curious how you handle ambiguous signals or partial failures in CI — where the root cause isn’t clearly attributable to a single source?
About TestRelic AI on Product Hunt
“ Ask your Playwright tests why they failed”
TestRelic AI launched on Product Hunt on April 7th, 2026 and earned 86 upvotes and 5 comments, placing #24 on the daily leaderboard. Every QA debug loop looks the same — CI fails, you open logs, Slack, Jira, Grafana. 45 minutes later, still no root cause. Ask AI fixes that. Type a question, get a rendered artifact — dashboards, sprint reports, test plans, stakeholder slides — built from your live Playwright data. No queries. No config. Just answers. Free 14-day trial. No credit card. Built by the founding team behind LambdaTest Test Insights.
TestRelic AI was featured in Developer Tools (511.1k followers), Artificial Intelligence (466.4k followers) and SDK (740 followers) on Product Hunt. Together, these topics include over 153.7k products, making this a competitive space to launch in.
Who hunted TestRelic AI?
TestRelic AI was hunted by Srivishnu Ayyagari. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Srivishnu Ayyagari