ATS Mako
Designed for speed. Built for scale.
What it does
A fully brandable applicant tracking system with automated SMS, an integrated email client, AI-powered workflows, and real-time engagement tracking — all in one place.
ATS Mako replaces ~9 disconnected recruiting tools with one white-label platform — automated SMS, email, AI candidate ranking, scheduling, and onboarding — keeping every interaction from first touch to offer letter fast, automated, and measurable. Most teams duct-tape ~9 disconnected tools together — texting, email, scheduling, job boards, resume parsing, onboarding, reporting, and more. ATS Mako brings them together into one platform branded as yours. From staffing floors to enterprise HR, ATS Mako bends to the way you hire — branded as yours, tuned to your pace. Recruiters want speed — fewer dropped candidates and more interviews on the calendar. Leaders want clarity — visibility,…from atsmako.com
Does the same job
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ATS Engine: Intelligent Hiring27d ago · dennisnowland.uk · ▲8AI applicant tracking with intelligent candidate matching
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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