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