Habitu
Loyalty cards in Apple & Google Wallet, no app needed
What it does
Habitu gives local shops a loyalty card that lives in Apple Wallet and Google Wallet. Customers join in 5 seconds, no app to download. Free proximity notifications, AI-written campaigns, Google reviews on autopilot. Built in France for neighborhood businesses. From EUR 0.
Habituez vos clients à revenir : carte de fidélité Apple & Google Wallet sans appli, récompenses, notifications, coach IA. Rétention et réachat mesurés. 30 jours offerts.
Un achat, puis plus rien ? Habitu transforme chaque achat en raison de revenir : carte de fidélité sans appli , récompenses, notifications et coach IA , directement dans le téléphone de vos clients. 30 jours toutes options, sans carte bancaire. Ensuite, vous choisissez : offre gratuite à vie, ou 49 €/mois sans engagement . Votre logo, vos couleurs, par votre coach IA. Dans leur téléphone, jamais dans un tiroir. Habitu est une plateforme française de fidélité client par carte Apple Wallet et Google Wallet, sans application à installer. Capacités complètes : Exécution et conformité : hébergement Union européenne (Paris et Francfort), RGPD, support humain en français, installation en 4…from habitu.fr
Does the same job
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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