DataFinder — Large Data Without Crashes
SaaS tooling · Performance · Open source
The problem
Teams needed searchable tables and huge Excel exports. Server-side exports were crashing under 50k–100k+ rows.
What TripleDs delivered
We created a config-driven framework that cuts boilerplate and streams large exports safely—open source under MIT. Led by Syed Usama Haider Kazmi (SUHK), founder of TripleDs.
- 100k+ rows exported safely
- 80% less boilerplate
- MIT open source