
ExtractFBA: Raw Text to FBA-Ready CSV
Instant Order Data Extraction for Amazon FBA Sellers
What it does
Paste supplier notes and get a clean, validated CSV ready for Amazon FBA bulk upload. No subscription, pay-as-you-go credits, instant results.
Paste any chaotic text or supplier notes: ExtractFBA instantly extracts structured data ready for your Seller platform. Every extracted row is checked for SKU, quantity and price consistency, so your file uploads to Seller Central without formatting errors. No monthly subscription. Buy a one-time credit pack and use it whenever you need: credits never expire. Your texts travel over an encrypted connection and are used only to generate your table. Nothing is sold or shared with third parties. Review and adjust every value directly on screen before downloading the final CSV. You always keep full control of your data. Pay once, use anytime. No subscription, no recurring charge. Copy any…from fba.entryfilter.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…
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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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