TINAADA
Connection based on topic for 1v1 conversation
What it does
Start conversations that actually matter. TINAADA matches people through shared intent for private, one-to-one chats. No swiping. No feed. No audience to impress. Tell us what you want to talk about, and connect with someone who wants the same conversation. Because having an audience isn’t the same as having a real conversation.
Start conversations that actually matter. TINAADA matches people through shared intent for private one-to-one chats. No swiping. No feed.
TINAADA matches people through topics, not profiles. No swiping. No feed. Just intentional one-to-one chat. What this is Start with a thought, not a profile. Most apps start with who you are. TINAADA starts with what you want to say. Write a topic — something real, something on your mind. Or browse topics others have shared. When two topics reflect the same intent, TINAADA suggests a match — and shows you why the connection makes sense. Clear enough to understand in seconds. Different enough to feel better immediately. Write what you actually want to talk about. No bios. No curated profiles. Just the conversation you want to have. When two topics align, we suggest a match. We show you the…from tinaada.com
Does the same job
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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