Vivid
See right through the corporate fog.
What it does
I built a tool because I got tired of job specs written by ChatGPT that require 12 years of React experience for an "Assistant" role.
Vivid decodes job postings with AI — real skills, real pay, real risk, right through the corporate fog.
Does the same job
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- BPBig Picture” project management for software developers2022 · projectburndown.com · ▲8
We got tired of not being able to accurately answer "When will this be done?" and "Will anyone be required to work overtime on the current schedule?", or spending too much time in meetings and standups trying to answer those questions. Just opened up for beta. Would love some opinionated developers to guide future improvements (or feedback on the general idea).
- ARA real-time list of open tech roles2024 · techjobs.xyz · ▲5
Hey HN! Quick TL; DR: I set up scrapers for the websites of ~20k tech companies, fed the results through GPT, spent some sleepless nights building a web app, and voilá. I started this after getting fed up with how slow LinkedIn felt. I finally got it working and easy to use, so I wanted to share it with you guys. The job list is free. But I’m currently paying a lot of money to OpenAI for all the data I’m passing through GPT, so I may end up eventually charging for some advanced features, or putting ads on it or something. Please let me know what you think! I’m actively developing this so I’m…
More ai this month
the category →
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