Frontrunners.io
Find jobs before everyone else
What it does
Frontrunners is a job search AI agent that helps you reach hiring managers directly at relevant companies. Instead of applying to 100s of jobs, that receive 1000s of applicants, it automates personalized outreach, often before roles are public. No more black-hole applications or ghosting. Frontrunners gets you direct conversations with hiring managers. Tell it the roles and companies you're targeting, and it finds the right decision-makers and crafts tailored, human-sounding emails for you.
Find companies hiring profiles like yours, identify hiring managers, and send AI-personalized outreach directly from your inbox.
Helps you start conversations directly with hiring managers. According to SHRM , 80% of jobs are filled before they’re ever posted publicly. The average job posting receives 257 applications, according to Employ’s Hiring Benchmarks Report . According to CareerPlug report, 97% of applicants never make it to an interview. Skip the crowded application queue and start direct conversations with the people behind the hiring process. A relevant email to an actual hiring manager has a real chance of being read . An application sitting in an ATS queue may never reach a human at all. See every company, email, and outreach status in one place, so you always know what’s moving and…from frontrunners.io
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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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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…
AI · 26d ago · cactuscompute.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