Job Resiliens
Know if AI is coming for your job — and what's next
What it does
Jobresiliens helps you understand how exposed your current job is to AI disruption, role by role. Search any job title to see its AI-risk level, then explore reskilling paths and open roles that are more resilient long-term. Built for professionals who want to plan their next career move before AI forces the decision.
Understand your skills, explore career paths, close skill gaps, and find matched jobs, freelance work or your next build — starting with a free AI career score.
A free AI career score, then a real plan: paths, gaps, matched jobs, freelance work, or your next build. One evidence base, one loop — the same intelligence follows you from a free score all the way to your next opportunity. Every path starts from the same free assessment and draws on the same underlying intelligence — you just get there differently. Get a task-by-task AI Exposure Score for your actual role, close the gaps that matter, and get ahead in your job, pivot to a more resilient one, or land your next role after a layoff. See what your degree actually leads to, which roles in your field are more durable than others, and start building proof — before you're competing for your first…from jobresiliens.com
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150+ Artificial Intelligence Directories2023 · ▲182Discover the best AI tools, prompts & job listings



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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