WireGum
A lightweight commerce backend that wires your CMS to Stripe
What it does
WireGum is a lightweight commerce backend for existing websites. Add a single script to your site, then turn any element into a product using simple data attributes. WireGum handles the cart, product variants, inventory, orders, shipping, and connects to Stripe for checkout and payments. Unlike traditional ecommerce platforms, WireGum doesn't own your storefront. Keep using your CMS, static site, or custom stack and build the frontend however you want.
WireGum adds products, variants, orders, shipping workflows, tracking and customer emails to custom Stripe Checkout stores.
Inventory, shipping labels, order status, and customer emails: the operational layer Stripe leaves to you. See sales, fulfillment activity and integration readiness at a glance. Carrier rates, labels and tracking through the connected shipping provider, or manual tracking when merchants ship outside WireGum. Order confirmations and shipping updates with localized templates, shared sender by default, and custom sender setup on Plus. It is built for small and independent commerce sites that sell physical products, need a real checkout, and do not want to run a full ecommerce platform. Add one script tag, then place data attributes where your CMS or static site renders product pages. Sites…from wiregum.com
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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