15:I[981,["658","static/chunks/658-a698693f56d0116a.js","183","static/chunks/183-6beeeb801c274aaa.js","474","static/chunks/app/%5Btype%5D/layout-631c4730b83c8223.js"],"Posts"] 16:T53f,Hey HN! I'm open-sourcing DataKit today.

GitHub: https://github.com/datakitpage/datakit Live demo: https://datakit.page

DataKit is a browser-based data analysis platform that processes multi-gigabyte files (CSV, Parquet, JSON, Excel) entirely client-side using DuckDB-WASM. Your data never leaves your browser.

What it does: • Process large files (tested up to 20GB) without any server • Full SQL interface powered by DuckDB compiled to WebAssembly • Python notebooks via Pyodide for data science workflows • Connect to remote sources (PostgreSQL, MotherDuck, S3) with optional proxy • AI assistant that only sees column schemas, not actual data

I was done with having to choose between cloud tools and heavy local installations. I wanted something that just works in a browser tab but has real power.

It's AGPL licensed with commercial licenses available for enterprises.

I've been building this solo as a side project for the past few months. Would love your feedback on: - Performance bottlenecks you encounter - Features you'd need for your workflows - The architecture decisions (all client-side vs hybrid)17:T5dd,Hi HN, I’m Abhijeet. Over the past few months, I’ve spoken with more than 60 freelancers, creators, and small agency owners across India and abroad. Almost everyone described the same struggle: their work is scattered across too many tools.

Projects sit in Gmail or WhatsApp, portfolios in Notion, payments on random links, and invoices in spreadsheets. They spend hours switching between tabs just to keep track of clients and revisions, and things still slip through the cracks.

For many, this isn’t j

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