ListingPilot
Supplier data to marketplace-ready listing packs
What it does
ListingPilot turns messy supplier spreadsheets into review-ready listing packs for Shopify, Etsy, Amazon and eBay. It detects duplicate SKUs, rebuilds Color × Size variant groups, flags missing attributes and mismatched image filenames, suggests category normalization, checks margins and separates blocked rows from import-ready exports. Safe fixes never invent missing product facts, and all processing stays in the browser.
Catch duplicate SKUs, missing attributes, variant risks and unsafe image mappings before importing product catalogs to Shopify, Amazon or eBay.
Amazon variation error, Shopify CSV rejection or eBay bulk-listing failure? Send the source file and processing report. Receive a diagnosed, corrected and rollback-safe import pack without a meeting or store access. MerchLint translates marketplace documentation and recurring seller failures into a deterministic preflight. It identifies the row, explains the risk and preserves the original before proposing a change. Choose a supplier CSV with up to 100 rows. MerchLint checks it locally in your browser and immediately estimates import readiness, duplicate SKUs, missing required facts, variant risks and image problems. Load the demo or enter real product facts. MerchLint will adapt the same…from listingpilot-ai.pages.dev
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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 · 17d ago · simedw.com