Glever
One-tap job applications from your phone and desktop
What it does
Glever lets you choose your speed. Autofill any application yourself, one-click apply from our job board, or turn on Apply For Me and we send 200 applications to jobs matched to what you've actually done. On web and mobile.
Never fill out another job application. Glever finds the jobs, fills the forms and sends them for you. Free to start, no card required.
Your job title undersells you. Glever reads what you actually did in every role, matches you to the jobs that fit, and applies for you. Glever reads your whole resume — every role, every bullet, every project — and matches you on what you actually did rather than what one employer called you. Ask again and it comes back with the next angle: the adjacent function, the specialty, the title another industry uses. Open any posting on Greenhouse, Lever, Ashby, Workable or Rippling and click once. Contact details, dropdowns, screener questions — and the essays, drafted from your own profile. You review before anything is sent. Novalink’s platform work is the closest thing to what I did at…from glever.co
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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 · 17d ago · simedw.com
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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


- 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