DevToolsDatabaseAnalyticsSaaS

Hourly Metrics Guard

Help indie developers collect and query time-series metrics at ultra-low cost, avoiding cloud bill explosions

Problem
A developer asks how to handle large-scale time-series metrics without high costs, having tried multiple databases but struggling to balance cost, overhead, and scalability. Many small projects abandon self-hosted analytics due to cost.
Solution
A lightweight time-series metric collection and query service built on SQLite or DuckDB, with automatic downsampling and retention policies. Users embed a light SDK to write and query metrics via simple API, no database cluster management.
Users
Indie developers, small SaaS, personal project developers
MVP
Provide lightweight SDK (multi-language); local or edge storage based on DuckDB; automatic downsampling and retention policies; simple query API and basic dashboard; one-click deploy to edge platforms (e.g., Cloudflare Workers)
Revenue
Open-source core, paid hosted version with usage-based pricing, or one-time purchase for self-hosted
Why now
Edge computing and embedded databases mature, lowering self-hosting costs; developers are sensitive to cloud bills; indie developers can build and validate quickly

Source discussions · 1

  1. Hacker NewsAsk HN: How do you handle time-series metrics at scale without a large bill?1↑ 0
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