Dev tools · September 23, 2025
Vartiq
Hi HN, I’ve been working on Vartiq, a plug-and-play Webhook as a Service platform. What it is: Sending outbound webhooks reliably is a pain many SaaS products face. You end up building: - Delivery logic with retries and exponential backoff - Dead-letter queues for failed deliveries - Observability pipelines for logs and debugging - Auto-scaling infra to handle spikes in events Vartiq aims to take all of that off your plate. Key features: Zero lost events – reliable delivery with auto retries Dead-letter handling out of the box Live observability – dashboards, delivery logs, and metrics…
Vartiq launched on September 23, 2025 with 97 votes, #325 of 8,160 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Webhooks are critical — but they’re not your core product. Let Vartiq handle the reliability layer behind them. Scale confidently with built-in retries, queue handling, SLAs and observability.
Launch reliable webhooks in minutes — no ops burden
Production-grade webhook infrastructure. Handle millions of events with automatic retries, DLQs, and real-time observability. Built by developers, for developers. Late arrivals. Duplicates. Failures. You can't trust their order or timing—only proper idempotency and retry logic guarantee exactly-once processing. You thought skipping queues was fine at first. Then customer complaints about missing events can prove you wrong. 1,000 events/min? No problem. 10,000 events/min? Messages start dropping. 1,000,000 events/min? Your RabbitMQ costs explode while you babysit retries, DLQs, and memory management. One producer goes silent for hours. Another dumps 50,000 events in one go. Unless your infra…from vartiq.com
In the maker’s words, at launch
Hi HN, I’ve been working on Vartiq, a plug-and-play Webhook as a Service platform. What it is: Sending outbound webhooks reliably is a pain many SaaS products face. You end up building: - Delivery logic with retries and exponential backoff - Dead-letter queues for failed deliveries - Observability pipelines for logs…
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