Bundivo
Preflight your digital products before customers do
What it does
Bundivo preflights the digital product package you’re about to sell before a customer ever sees it. It checks for missing deliverables, duplicate files, suspicious or mismatched formats, packaging junk, broken assets, and items that need manual review. Everything runs locally on Windows — no uploads, no accounts, no cloud processing. Built for creators shipping fonts, brushes, presets, SVG bundles, templates, printables, and other multi-file digital products.
Bundivo checks the digital product package you are about to sell for delivery mistakes before customers receive it. Runs locally. No uploads. $29 once.
Bundivo checks the files you are about to sell for missing deliverables, broken files, wrong formats, duplicates, junk, confusing structure, and other buyer-facing problems before you upload the package. A digital product can look finished on your computer and still ship with the wrong file, a broken image, duplicated content, missing instructions, junk files, or a package structure that makes no sense to the buyer. We built a normal-looking digital product package and quietly planted mistakes inside it. Bundivo found them before a customer could. Broken asset A font with the right signature that will not load. Package clutter Nested archives, OS junk, and deep folder structure. Built to…from grimmwareos.com
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Commerce · 26d ago · equitybee.com
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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