Webhookify

Solution: Real-Time Webhook Infrastructure with AI-Powered Debugging

We built Webhookify's architecture from the ground up around the constraints of real-time, multi-tenant webhook processing — drawing on patterns used by PagerDuty for real-time event routing and Datadog for live log streaming.

1. Real-Time Event Pipeline with Django Channels + Redis

Every incoming webhook is received by a FastAPI ingestion service (chosen over Django for its async-native request handling), stored in PostgreSQL, and simultaneously published to a Redis Pub/Sub channel. The user's browser maintains a persistent WebSocket connection (via Django Channels) subscribed to their personal channel. When a webhook arrives, the event travels from ingestion → Redis → Django Channels → browser WebSocket in under 100ms. The user sees it appear on their dashboard in real time — no polling, no page refresh. This architecture mirrors how Pusher and Ably deliver real-time events to millions of connected clients.

2. AI Payload Analysis with Claude

When a webhook payload arrives, Webhookify sends it to Claude API asynchronously — completely non-blocking. The dashboard shows the raw payload immediately, and 2–3 seconds later the 'AI Analysis' tab populates with Claude's explanation: what event triggered this webhook, what each field means, potential handler logic in Python/Node.js/PHP, and any anomalies detected (missing required fields, unexpected values). For developers unfamiliar with a new webhook provider's payload format, this AI analysis cuts onboarding time from hours to minutes — similar to how GitHub Copilot explains unfamiliar code inline.

3. Request Replay Engine

Every captured webhook can be replayed to any target URL with one click. The replay preserves the original headers, body, and HTTP method exactly as received. Users can edit the payload before replaying — useful for testing edge cases or simulating variations of an event. A replay history shows the target URL, response code, and response time for each replay attempt. This eliminates the most frustrating part of webhook development: waiting for a real event to retrigger after fixing handler code.

4. Forwarding Rules with Conditional Logic

Power users can configure forwarding rules that inspect incoming payloads and route them conditionally. For example: 'forward all Stripe events where type starts with payment_intent to https://staging.myapp.com/webhooks/stripe'. Rules are evaluated in priority order, and unmatched events are still captured for inspection. This gives developers a no-code webhook router — replacing what would otherwise require a Lambda function or custom middleware.

5. Tiered Storage Architecture

Free tier events are retained for 48 hours, Pro tier for 30 days, and Team tier for 90 days. A background cleanup job runs nightly to delete expired events, keeping storage costs linear rather than unbounded. Hot events (last 24 hours) are cached in Redis for sub-millisecond retrieval. Cold events (older) are fetched from PostgreSQL with indexed queries. This tiered approach keeps the free tier economically sustainable while providing meaningful value.