Cardience
Turn every business card into a meaningful connection.
What it does
Your team attends meetings, exhibitions, and networking events, but many business cards are lost or never followed up. Cardience helps your team scan cards instantly, save contacts with AI, organize them with tags and notes, and schedule WhatsApp follow-ups. This helps your company improve lead capture, reduce manual work, and convert more connections into business opportunities. Cardience turns every business card into a business opportunity.
NexCard Admin Dashboard
Does the same job
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- SHSave hours after networking events with this AI business card organizer2025 · cardviz.com · ▲9
I always get overwhelmed by the stack of business cards I collect after networking events—and most of them end up forgotten. So I built an app that helps me (and now you) actually do something with them. With this app, you can: • Snap photos of the cards • Auto-organize them by your event goals and relevance to yourself and your business • Get AI-generated follow-up emails tailored to your goals It’s designed to save you hours and help you turn contacts into real opportunities. Would love feedback from the HN community!
More growth this month
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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 · 16d ago · simedw.com