Siela
AI-native workspace: CRM, tasks, meetings, team and calendar
What it does
Siela replaces your CRM, task tracker, meeting notes, dictation, calendar and team management with one AI-native workspace. The difference is the data model. Everything sits in one database, so the agent works across all of it. Say "Arjun moved to Proposal, make a follow-up task and remind me to send pricing Thursday" and it does all three. Your CRM has never heard of your sprint. Ours has. Six products. One subscription. Built for teams of 5-20.
Agents, CRM, meetings, teams, and daily work connected through one shared context layer.
Hire an AI teammate for every job. They run your channels, chase what you are owed, and prep every meeting, and wait for your approval before anything goes out. Modern teams rely on AI across dozens of products. Without shared context, those tools create more coordination than they remove. CRM, meetings, projects, and AI all keep separate versions of the work. Teams spend their time reconnecting the pieces. Traditional automations break when the work changes. People step back in to move context, update records, and restart the flow. Every handoff means another tab, another summary, and another chance for a decision or customer detail to disappear. Eos understands the request, finds the…from siela.in
Does the same job
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The New Calendly17d ago · calendly.com · ▲211Handle all of the work before, during, and after meetings



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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…
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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io


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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.
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