HRmony.ai
One platform for modern recruiting
What it does
HRmony.ai is an AI-native ATS and CRM built for tech-focused recruiting and staffing agencies. It unifies sourcing, candidate matching, outreach, and scheduling in one platform, including AI matching that surfaces qualified candidates from your existing database in minutes, and custom AI agents recruiters can build for sourcing and outreach. Live in days, priced per usage, no lock-in.
Discover a powerful AI recruitment platform designed to streamline hiring and boost success. Maximize your earnings with our affiliate partnerships and outstaffing solutions.
HRmony.ai is the AI-native recruiting platform that unifies sourcing, ATS+CRM, and AI matching — so recruiters place faster, screen less, and grow revenue without growing headcount. No more hours of manual work. Traditional agency growth comes with a catch: more revenue usually means more overhead and clunky, hard-to-maintain systems. HRmony.ai changes that. By letting AI handle the heavy operational lifting alongside your team, your agency can serve more clients and scale faster—without multiplying your costs.4 PULSE ranks every candidate in your ATS against any open role in under 2 minutes - no manual filtering, no missed gems. AURA continuously enriches every profile in your ATS —…from hrmony.ai
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The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com
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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