Automated webhook monitoring for indie hackers & small teams
Never miss a webhook again. HookWatch monitors, logs, and retries your webhooks automatically. Built for indie hackers and small teams. HookWatch monitors your webhook endpoints 24/7 and alerts you instantly when something breaks. Built for developers who need reliable monitoring without enterprise complexity. Simple setup, affordable pricing, peace of mind.
I'm thrilled to launch HookWatch today — a tool I've been building to solve a problem that's been driving me crazy for years.
The problem: Modern apps rely on webhooks, cron jobs, WebSocket connections, and now AI agents — but when they fail, they fail silently. No error page. No stack trace. Just... nothing happens. A Stripe payment webhook gets lost, a nightly backup script silently stops running, a WebSocket connection drops mid-session, an AI agent starts erroring out — and you don't find out until a customer complains or data is already gone.
I've been on the other side of that support ticket too many times. So I built HookWatch.
What is HookWatch?
It's four monitoring tools under one roof:
🔗 Webhook Monitor — Track every incoming webhook in real-time. Inspect full payloads, replay failed deliveries with one click, and get automatic retries with exponential backoff. We even have a unique request buffering feature: if your server goes down, HookWatch stores incoming webhooks and replays them when you're back online. Zero data loss.
⏰ Cron Monitor — Schedule and monitor cron jobs with human-readable syntax. Write "every day at 2am" instead of decoding 0 2 * * *. Get full execution history with stdout/stderr, automatic retries, and instant alerts when something breaks. The CLI runs jobs locally with optional cloud sync — it works 100% offline.
🌐 WebSocket Monitor — A transparent proxy for your WebSocket connections that gives you complete visibility into bidirectional traffic. Point your client to a HookWatch proxy URL instead of the original server — we forward everything transparently while capturing every message in both directions. See live connections open and close, inspect full payloads (text and binary), filter by direction (inbound/outbound), and review complete message history. Debug dropped connections, validate payload formats, and investigate incidents — all without changing a single line of your application code.
🤖 MCP Proxy — Observability for AI agent tool calls. Monitor every MCP request/response, track latency (p50/p95/p99), and get alerts when your agents hit errors. If you're building with Claude or other LLMs, this gives you the visibility you've been missing.
What makes HookWatch different?
Four tools, one dashboard. Competitors focus on just one. We bundle webhooks + cron + WebSocket + MCP monitoring together.
Local-first CLI. Not just a web dashboard — our CLI is a first-class citizen. Forward webhooks to localhost, run cron jobs locally, get JSON output for scripting. Works offline.
Transparent proxying. Both for webhooks (request buffering when your server is down) and WebSockets (full bidirectional message capture). Zero code changes required.
Hey Product Hunt! 👋
I'm thrilled to launch HookWatch today — a tool I've been building to solve a problem that's been driving me crazy for years.
The problem: Modern apps rely on webhooks, cron jobs, WebSocket connections, and now AI agents — but when they fail, they fail silently. No error page. No stack trace. Just... nothing happens. A Stripe payment webhook gets lost, a nightly backup script silently stops running, a WebSocket connection drops mid-session, an AI agent starts erroring out — and you don't find out until a customer complains or data is already gone.
I've been on the other side of that support ticket too many times. So I built HookWatch.
What is HookWatch?
It's four monitoring tools under one roof:
🔗 Webhook Monitor — Track every incoming webhook in real-time. Inspect full payloads, replay failed deliveries with one click, and get automatic retries with exponential backoff. We even have a unique request buffering feature: if your server goes down, HookWatch stores incoming webhooks and replays them when you're back online. Zero data loss.
⏰ Cron Monitor — Schedule and monitor cron jobs with human-readable syntax. Write "every day at 2am" instead of decoding 0 2 * * *. Get full execution history with stdout/stderr, automatic retries, and instant alerts when something breaks. The CLI runs jobs locally with optional cloud sync — it works 100% offline.
🌐 WebSocket Monitor — A transparent proxy for your WebSocket connections that gives you complete visibility into bidirectional traffic. Point your client to a HookWatch proxy URL instead of the original server — we forward everything transparently while capturing every message in both directions. See live connections open and close, inspect full payloads (text and binary), filter by direction (inbound/outbound), and review complete message history. Debug dropped connections, validate payload formats, and investigate incidents — all without changing a single line of your application code.
🤖 MCP Proxy — Observability for AI agent tool calls. Monitor every MCP request/response, track latency (p50/p95/p99), and get alerts when your agents hit errors. If you're building with Claude or other LLMs, this gives you the visibility you've been missing.
What makes HookWatch different?
Four tools, one dashboard. Competitors focus on just one. We bundle webhooks + cron + WebSocket + MCP monitoring together.
Local-first CLI. Not just a web dashboard — our CLI is a first-class citizen. Forward webhooks to localhost, run cron jobs locally, get JSON output for scripting. Works offline.
Transparent proxying. Both for webhooks (request buffering when your server is down) and WebSockets (full bidirectional message capture). Zero code changes required.
Human-readable schedules. Stop Googling cron syntax. Write schedules in plain English.
AI-native from day one. MCP observability is built in, not bolted on.
I'd love to hear your feedback — what features would you want to see next? What integrations matter most to you?
Happy to answer any questions in the comments! 🚀