Verixa
The AI purchasing department for small businesses
What it does
Buying supplies eats the week for small businesses: hunting suppliers, chasing quotes, guessing reorders. Verixa is an AI purchasing department — it finds vendors, negotiates pricing, places orders, tracks deliveries, predicts reorders. Try the live demo: type in anything you buy, see a sample recommendation (labeled illustrative). Founding offer: $39 pass, 20% off first 12 months at planned $49/mo. Pre-launch and pre-revenue — honest about it. verixabuy.com
Verixa is an AI procurement platform for small and midsize businesses: find the best vendors, negotiate pricing, place orders, track deliveries, and predict reorders.
One request, and Verixa shows its work: matched vendors, estimated pricing, an order placed, delivery tracked — built around the two numbers you already track: fewer stockouts, a lower cost per shipment. The demo is live and runs on sample data. Describe what you need. Verixa handles the entire purchasing workflow, end to end. Tell Verixa what you need, including quantity and delivery needs. Options are compared and pricing is negotiated automatically. Today's quote demo uses illustrative sample data; it does not place real orders. A 75-second tour of the Verixa demo, then the screens you'll see, step by step. Everything here is from the demo — illustrative sample data, not real quotes,…from verixabuy.com
Does the same job
all alternatives →More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.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