SpendVision
Track spending automatically. Set limits. Stay on track.
What it does
Most expense trackers tell you where your money went. SpendVision helps you decide where it should go next. Automatically track and categorize transactions, understand your spending patterns, and set Smart Limits for categories like Swiggy/Zomato, shopping, and subscriptions. See how much you've spent, what's left, and get ahead of overspending before it happens. Built with privacy in mind, no bank passwords or banking credentials required. Track less. Understand more. Spend smarter.
Thousands of financial messages are already sitting in your inbox. SpendVision transforms them into clear insights, discovers money leaks, identifies spending habits, and helps you take control of your finances without manually tracking a single expense. SpendVision securely scans your inbox on-device, automatically processing only your financial and merchant transactions. In seconds, thousands of SMS are categorized, merchant names resolved, and spending patterns surfaced. See exactly where every rupee went by category, merchant, and week with no surprises. One dashboard. Every category. All your spending automatically surfaced from the SMS already on your phone. Forgotten subscriptions,…from spendvision.in
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Commerce · 26d ago · equitybee.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com