PassGMC
Scan, fix and appeal Google Merchant Center suspensions
What it does
Paste your store URL and get a free Google Merchant Center readiness score in about a minute, no sign-up. PassGMC runs deep checks against what Google actually looks at (policies, trust signals, pricing, contact details, the signals behind "misrepresentation"), then gives you the exact Shopify admin path for every fix. When you're ready to appeal, it writes a reason-specific appeal package from your before-and-after scans: proof, not guesswork. $79 one-off for 10 scans. No subscription.
Scan your store for Google Merchant Center readiness, see the exact fixes, and generate a reinstatement appeal package. Pay per scan, no subscription.
Get a free headline scan, then unlock exact fixes and a reason-specific appeal package. We compare your scans and write the improvements straight into your appeal. PassGMC helps brands recover from suspensions, fix disapprovals, and keep their Google Merchant Center running with confidence. Compare where you started to where you are now, so you can appeal with confidence. You are ready to submit a strong appeal. Google's decision is not guaranteed. PassGMC scans the right signals, ranks the fixes that matter, shows you exactly how to fix each one, then packages the evidence for a stronger appeal. Unlock your full report to see all issue details, fixes, templates, and your appeal package.…from passgmc.com
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.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