Webhook testing with instant URLs and real-time viewer

Hacker News

I built this after spending too much time debugging Stripe and GitHub webhook integrations. The problem: You set up a webhook, trigger an event, and... nothing. Did it send? What did it send? Is my endpoint even receiving it? So I built a simple tool: - Click once → get a unique HTTPS URL instantly - Point any service at it (Stripe, GitHub, Shopify, whatever) - See requests arrive in real-time with full headers and body - JSON auto-formats so you can actually read it - Copy as cURL to replay locally No signup required to start. Free tier is 1 URL, 50 requests, 24hr retention — enough to actually test things. Tech stack: React frontend, Cloudflare Workers for the webhook receiver (global edge, fast), Supabase for storage and real-time subscriptions, Stripe for payments. Happy to answer questions about the product or the tech.

Visit product View on Hacker NewsJan 29, 2026

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

56%56% 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.

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

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr, subscription, shopify · Missing: mrr, revenue, profit

20%20% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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