Corteks
Explore your mind
What it does
Say a thought out loud and Corteks reads it, titles it, files it, and shows you the shape of your own thinking. One click to record your thoughts, and Corteks does the rest - identifies patterns between your thoughts, links relevant thoughts to your objectives, provides you with weekly insights on how your mind works, what you need to focus on, what you've been avoiding, and what troubles you the most.
Corteks is a thought capture app: say it, type it, or screenshot it, and the AI reads it, titles it, files it, and shows you the shape of your own thinking.
A thought arrives in the shower, in the car, mid-argument, and by the time you could write it down it's gone. Say it out loud instead. Corteks files it, reads it, and shows you what you keep circling. Every notes app makes you decide where a thought goes before it will save it. You pay that tax when you have the least patience for it, so the app stays closed and the thought stays lost. Corteks removes the decision. You never organise anything. Think of it as a second brain for spoken thoughts: one that reads back what it noticed instead of asking you to tag it. Speak it, type it, or drop in a screenshot. One button, no fields. Dictation runs on your phone, so the audio never leaves it. It…from corteks.app
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