PingPulse

Hey Product Hunt! 👋 I’m Shafeeq, founder of PingPulse - a stage-based observability for AI Agents and DevOps built by a DevOps engineer who’s spent years chasing down broken pipelines, cron jobs, and “ghost in the machine” failures. PingPulse turns simple curl‑style pings into structured timelines for your workflows, long‑running jobs, and AI‑agent interactions, then triggers alerts based on how those AI agents behave—like unexpected failures, timeouts, or weird patterns in their conversations or decisions. We’re bringing real‑world DevOps muscle to workflow debugging: think of it like observability for your cron jobs, ML pipelines, and AI‑driven automations, all without adding another heavy tool to your stack. 👉 Log in for free and try it right now—spin up a workflow, send a few pings, and see how much faster debugging feels. We’re rolling out even smarter agent‑interaction‑based alerting and richer context over the next few days, so this is the perfect time to jump in, kick the tires, and tell us what you’d love to see next. We’d love to hear: - How you currently debug workflows and AI‑agent interactions. - What you wish existing tools did better. - Any edge cases or workflows you’d like to see supported next. Ask us anything about the product, roadmap, or how we’re thinking about AI‑agent observability!

Super interesting launch! As someone building workflows for AI agents, debugging odd behaviors is always painful. PingPulse looks like the clean observability layer we’ve been missing. Excited to try it out!.