Jobstock.ai
Spot hiring movements before the price reacts.
What it does
Jobstocks.ai tracks daily hiring activity across U.S. companies and maps it against stock performance. Use it to spot shifts in demand, validate theses, and monitor the labor pulse of publicly traded firms: • Direct Overlay: Instantly compare daily active job postings against stock price charts. • AI Analysis: Real-Time web search to see the bigger picture and how it correlates with our exclusive data • Institutional Edge: Simplified labor signals hedge funds use for everyday traders.
Does the same job
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- JAJobLens – AI-powered job search for 'Who Is Hiring'2023 · kadoa.com · ▲108
There are existing HN job aggregators, but I thought we could take it a step further. Inspired by an insightful comment on a previous thread (https://news.ycombinator.com/item?id=36163021), I built a tool that aggregates job postings and intelligently categorizes them based on user-specific preferences: * Country and remote work preferences * Employer type (e.g., startup, corporation, government) * Industry * Technologies used * Role type (developer, architect, product owner, etc.) * Salary range (where available) One of the superpowers of LLMs is reformatting information from…
- AJAutomating Job Search with AI2023 · github.com · ▲34
This is a personal experiment that uses LLMs to rank unstructured job posting data based on user-defined criteria. Traditional job search platforms rely on rigid filtering systems, but many users lack such concrete criteria. One of the superpowers of LLMs is understanding unstructured data, like the job postings in the monthly "Ask HN: who's hiring" threads. So I built a little tool that lets you define your preferences in a more natural way and then rates each job postings based on the relevance. You can define what you're looking for in simple terms and get a custom list ranked by…
- PJPaid job search? Are you nuts?2022 · usemassive.com · ▲31
^ That's what our team said to me initially but we think it's pretty chill now. We built a job search tool that uses investor software to help you discover the most exciting companies to work for right now. Free this week so that you guys can try it out before we hard launch next week (paywall is down). Feedback is our oxygen: What can we do better? Are you gonna give us money? Why do you hate the design?
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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.
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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, March 2026
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