Montinz
Know what to wear from Monday to Sunday
What it does
Montinz plans your outfits for you. Add the clothes you already own and get personalized outfit ideas based on your wardrobe, style, and the weather, so you know what to wear every day.
Montinz is an AI outfit planner. Add your clothes once and get the right outfit planned for every day of the week, based on what you own and the weather.
Add your clothes once. Montinz plans your outfits for you — every day of the week. All that time, every day. Not because you own the wrong things — you don't. Because no one ever gave you a plan for what to wear. That's the only problem Montinz solves. And it turns out, that's all it takes. Open the scanner, point at a piece, tap the shutter. Montinz identifies the category, colour, and style on its own — no tags, no typing, nothing to sort. Do your whole closet in one go. Add the things you actually reach for — a top and a bottom, or a single dress, is all Montinz needs to start planning. Every piece you add opens more combinations. Open the app, pick your occasion, and Montinz generates…from montinz.co
Does the same job
all alternatives →


- FOFamous Outfits2014 · famousoutfits.com · ▲358


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