Coinage
Keep your money invested until the moment you need it.
What it does
Money you plan to spend sits in checking, earning nothing. Coinage is built on one belief: every dollar should be working until the second it's spent. Invest in diversified ETF portfolios called Nests, set a rule like "sell my gains at 5% toward my spending," and live your life. Coinage handles the selling automatically. Spend Match works in reverse: everyday purchases trigger small new investments. Invested and ready to spend, both at once.
Every account you own is either ready or earning, never both. Coinage is both: your money stays invested and stays ready to spend when you need it. Keep your card, keep your points, and let the gains go toward the bill.
Does the same job
all alternatives →
More commerce this month
the category →
Compare your startup equity grant for free.
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 · 17d ago · simedw.com