Support tools deflect conversations; incident tools investigate alerts for on-call SREs. Nobody investigates the actual customer ticket. Weppo is an AI tech support teammate working 24/7 alongside your engineering team. It plugs into your helpdesk, Slack, or Discord, triages technical tickets, investigates across Sentry, Datadog, logs & databases in read-only mode, then notifies engineers with an evidence-backed case โ facts separated from hypotheses.
Hey PH! ๐ I'm Safoan founder of Weppo.
Before building this, I kept seeing the same scene: a customer reports "our webhook stopped working," and someone on the team spends the next 30โ45 minutes digging through logs, Sentry traces, and databases just to understand what happened โ while the customer waits and an engineer gets pulled away from building.
The investigation wasn't the hard part. It was just manual, repetitive, and scattered across five tools.
So we built Weppo: an AI tech support teammate that works 24/7 alongside your engineering team. It plugs into your helpdesk, Slack, or Discord, picks up incoming tickets, triages which ones are technical, investigates across your systems in strict read-only mode, and then notifies your team with a complete case โ sourced timeline, repro steps, root-cause hypothesis, facts separated from hypotheses.
Two things we refused to compromise on:
๐ Read-only โ Weppo never touches your data or answers customers directly. Your humans stay in control.
๐งพ Every claim is sourced โ no hallucinated "root causes." If it's in the report, there's a log timestamp or event ID behind it.
We're in private beta with growing B2B SaaS teams, and we'd love your brutally honest feedback:
โ If you run support or engineering at a SaaS company, what's the part of ticket investigation that hurts most for you today?
โ What would make you trust (or distrust) an AI-generated technical case?
Ask me anything โ I'll be here all day! ๐