drishti
Your design speaks. Not your name.
What it does
Drishti is a community design gallery with one rule: your design speaks, not your name. No login, no account, no identity. Submit anonymously. Get voted on by real designers worldwide. Pure design. Zero bias.
drishti is an anonymous design gallery — submit logo, UI, branding and illustration work, get voted on by designers worldwide. No login, no bias.
Established names get likes before anyone looks. Unknown designers get ignored before anyone looks. The name precedes the design every time, so quality isn't what rises, reputation is. drishti removes the name. No profile. No follower count. No name on your card. The only thing anyone sees is your design, and the only thing that earns votes is the work itself. Submit and it appears in the New tab immediately. Get 3 votes from real designers and it moves to the main feed, no moderator, no algorithm favouring the already-established. No login to browse, no account to vote. Every vote is a pure signal of quality with nothing social behindfrom nitinmonga.in
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The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.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