
AI Jobboard
The niche job board for AI Prompt Engineering & Automation
What it does
AIJobboard.dev is a hyper-focused job board specifically for prompt engineers, agent builders, and AI automation developers (Make.com, n8n, RAG, LLMs). Posting a job takes 60 seconds, one-click checkout via Stripe, and automatic publication. Built as a lightweight, fast MVP in PHP, Tailwind, JSON Storage and Stripe Payment Links. Ideal for: • AI startups • Automation agencies • Prompt engineer teams • RAG/LLM developer companies
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- PEPrompt Engineering Jobs2023 · prompt-engineering-jobs.com · ▲81



- WTWe tried to build a job board that isn't awfulOct 2025 · teeming.ai · ▲32
Hi HN, We’re definitely not the first to realise there’s something seriously wrong with how hiring and job-seeking works today. Zero-cost communication and LLMs have created so much noise that good candidates can’t get heard, and it becomes all too tempting to game the system with keywords and prompt-hacking. In fact we discovered that 70% of early stage AI startups don't post their jobs on LinkedIn. Instead, many founders hire exclusively within their network, which works at the start but doesn’t scale. We thought a lot about this problem, and pivoted through a few ideas including an AI…
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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 · 18d 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 · 28d ago · cactuscompute.com


Launched alongside, November 2025
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