Sortinghat
AI Native ATS + CRM for staffing firms
What it does
Sorting Hat is one AI native platform in place of your ATS, CRM, sourcing, scheduling, and screening stack. AI sources from your own database, runs screening calls and writes notes onto the record. We migrate you off Bullhorn or Ceipal without losing a single comment. We built an assistant for your recruiters that takes care of all repetitive tasks so you can focus on what matters.
AI Native ATS built for top 1% staffing firms. We don't just track roles. We 2X your recruiters and bet on your firm's growth.
We don’t just track roles. We 2X your recruiters and bet on your firm’s growth. Utilise your existing pool plus run inbound and outbound campaigns. Deliver the best experience for clients and close more deals. Your own database, the job boards and LinkedIn in a single pool. Scored, enriched, and searchable in plain English. Kanban or list, automated chasing, AI interviews, and call notes that write themselves onto the record. An AI-native CRM that understands the brief, works your prospect list, and chases what you are owed. Every recruiter's activity, every desk's margin, and a forecast you can plan headcount against. Availability, location, rate and compliance applied before the search…from sortinghat.ai
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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 · 16d ago · simedw.com