Show HN: I built an AI agent to diagnose technical issues
Rinhelp is an AI agent designed to streamline technical support by automatically diagnosing issues using data from Crisp support threads, GitHub, and Sentry, then generating an evidence-backed draft for human review. It integrates into existing workflows to reduce context switching and manual investigation. The tool aims to help engineering teams maintain development momentum by handling the first pass of issue analysis. Diagnosis drafts are only produced when sufficient evidence is available, otherwise the system identifies missing information.
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AI support diagnosis for technical support teamsDiagnose issues w/o babysitting another agentRinhelp starts from a Crisp support thread, checks GitHub code context and Sentry runtime evidence, then returns an evidence-backed diagnosis draft for human review.START FREE TRIALSEE HOW IT WORKS →For founders and engineers trying to keep shippingINVESTIGATION_CONTEXTLive issue contextFrom support report to diagnosis draftACTIVECrisp threadUser reports export failureThe case starts in Crisp, not in a manual debugging workflow.Sentry + GitHub evidenceEvidence points to one causeRuntime errors, release context, and code paths point to the same failure path.OutcomeDiagnosis draft readyA reviewable diagnosis draft is ready before anything goes back to the customer.Works with your stackCrispSupport…
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