WebhookBox – Test webhooks instantly, no signup required

Hacker News

I've been using online webhook tools for years, but always thought they felt slow and cluttered. Figured I could build something cleaner with modern tools. Spent the past week building WebhookBox. How it works: Go to webhookbox.io, click the button, you get a URL like webhookbox.io/w/abc123. Send webhooks to it. They show up instantly. That's it. No signup needed for testing (anonymous, 24hr retention). If you do sign up, you get persistent URLs, history, API access, etc. What I built: - Real-time request viewer (Supabase Realtime is honestly pretty slick for this - saved me from building custom WebSocket infra) - See headers, body, query params - everything - Custom responses if you need to return specific status codes or test error handling - Export as cURL/Python/JS/whatever Tech decisions: Next.js + Supabase + Vercel edge functions. Used edge to get ~50-80ms global response times. Postgres JSONB for flexible payload storage. Rate limiting via Vercel KV to prevent abuse (100 req/hour per anonymous endpoint). Free tier is 3 endpoints, 100 requests/month. Pro is $9/mo if you need more. Thinking about adding webhook forwarding to localhost next - basically a WebSocket tunnel to forward webhooks directly to your dev server, skip ngrok entirely. Would that be useful or is the current approach good enough?

Visit product View on Hacker NewsSep 30, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: grok, using, code · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, way, para · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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