I'm a solo dev who builds apps between kitesurfing sessions.
My problem: I had databases everywhere. Postgres here, MySQL there, a Supabase project, an AWS RDS instance. Every time I needed to check something, I'd open a different tool. pgAdmin for one, MySQL Workbench for another, some random SQLite viewer for a third.
So I built QueryGlow: one self-hosted web interface for all of them.
- Connect PostgreSQL, MySQL, MariaDB, SQLite, CockroachDB, TimescaleDB
- Works with Supabase, AWS RDS, PlanetScale, Railway... anything with a connection string
- AI writes your SQL (bring your own API key)
- Built-in SSH tunnels for private databases
- Host it on your server, access from anywhere
- No telemetry, no cloud dependency, your data stays on your infrastructure
Docker deploy in 5 minutes.
I literally fix database issues from the beach now while waiting for wind.
Would love feedback from anyone else juggling multiple databases.
iamMXFSCHR•1h ago
I'm a solo dev who builds apps between kitesurfing sessions.
My problem: I had databases everywhere. Postgres here, MySQL there, a Supabase project, an AWS RDS instance. Every time I needed to check something, I'd open a different tool. pgAdmin for one, MySQL Workbench for another, some random SQLite viewer for a third.
So I built QueryGlow: one self-hosted web interface for all of them.
- Connect PostgreSQL, MySQL, MariaDB, SQLite, CockroachDB, TimescaleDB - Works with Supabase, AWS RDS, PlanetScale, Railway... anything with a connection string - AI writes your SQL (bring your own API key) - Built-in SSH tunnels for private databases - Host it on your server, access from anywhere - No telemetry, no cloud dependency, your data stays on your infrastructure
Docker deploy in 5 minutes.
I literally fix database issues from the beach now while waiting for wind.
Would love feedback from anyone else juggling multiple databases.