Langkast
One workspace for all your AI work.
What it does
Langkast brings your AI work into one place. Use leading models from OpenAI, Anthropic, Google, xAI, DeepSeek and more without jumping between apps. Switch models in the same conversation, organize chats into projects, work with your files, save and reuse prompts, and build agents for repetitive work. Instead of managing separate AI subscriptions, conversations and workflows, Langkast gives you one workspace to get things done with AI.
The complete platform for building and deploying AI support agents — instant answers, real actions, and smart human handoff, all from one platform.
Langkast is the complete platform for building and deploying AI support agents for your business — agents that answer instantly, take real actions, and know when to hand off to a human. Train your agent on help docs, PDFs, and past tickets — connected and current in minutes. Order lookups, refunds, account changes — real resolutions grounded in your own content. Complex issues route to your team with the full transcript and a crisp summary attached. Langkast is designed for building AI support agents that solve your customers' hardest problems while improving business outcomes. Language models with reasoning capabilities that handle even the most complex customer queries — grounded in your…from langkast.com
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AstraPixels▲267A pixel-art solar system at its real current positions.
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