HireXR
AI Hiring Platform, Automated CV & Candidate Screening.
What it does
HireXR replaces 15–20% recruitment agency fees with AI CV screening that ranks candidates against your job description and explains why — "Candidate A beats Candidate B." Set up in minutes, No ATS required — a fully standalone, out-of-the-box hiring solution.
Drowning in CVs? HireXR is the fast ATS alternative built for hiring managers, HR teams, and talent acquisition leaders automating candidates screening. Rank top candidates fast.
Stop paying 20–30% agency fees. Screen and rank candidates automatically — from $49/month. Drop in your CVs and job description. HireXR scores every applicant with a full evidence trail, flags ATS manipulation, and delivers tailored interview packs — so your team hires faster without the agency bill. HireXR provides an affordable AI hiring solution with automation built in — AI-powered CV screening, candidate ranking, and interview question generation for a flat $49/month per user, with no per-hire fees and no recruitment agency required. It is built specifically for SMEs and growing teams that need enterprise-calibre candidate evaluation without enterprise-level cost. AI recruitment…from hirexr.co.uk
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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…
AI · 27d 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 · 17d ago · simedw.com