Boongon
Introducing Boongon — business made simple. Ask anything.
What it does
Boongon connects finance, sales, procurement, inventory, projects, service and payroll on one governed data model. Approval rules are enforced where the data lives, and every action is recorded in a tamper-evident audit trail. Request a demo.
Finance, sales, procurement, inventory, projects, service and payroll, on one governed data model. Not six products wired together. A business event and its accounting consequence are one record, not two entries to reconcile. Open any figure in a statement and follow it back to the document that caused it. A quotation becomes an order, then a shipment, then an invoice. Nothing is retyped. What you owe and what you hold are the same set of records, from requisition to payment. The work and the money it makes are the same records, so your position is current. Payroll posts to the same ledger as everything else, and the database decides who may see a salary. Ask about your own records in plain…from boongon.com
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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.
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