Why Data Privacy Matters: My Hacktoberfest Open-Source AI Side Hustle
Introduction For Hacktoberfest 2026 (Week 2: Side Hustle), I wanted to build something practical that solves a real-world problem. Freelancers and small business owners handle sensitive financial documents daily, but uploading receipts and invoices to third-party closed APIs often raises data priva
Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle Submission 💸
For Hacktoberfest 2026 (Week 2: Side Hustle), I wanted to build something practical that solves a real-world problem. Freelancers and small business owners handle sensitive financial documents daily, but uploading receipts and invoices to third-party closed APIs often raises data privacy concerns.
To solve this, I built Local-First Invoice & Receipt Sorter —a web tool powered by open-source AI principles that helps freelancers instantly categorize and extract structured data from raw invoices while keeping privacy at the core.
Using open-weight models and open-source frameworks makes this side hustle viable for a few critical reasons:
I had a fellow freelancer test out the live deployment by pasting real service invoice text.
Building this side hustle during Hacktoberfest taught me how powerful open-source AI tools can be when applied to niche, real-world problems. Check out the live app, explore the GitHub repo, and let me know your thoughts!