
Careerbot
A career assistant in plain markdown.
What it does
This is a job search app, so how is this different from others: 1. You can manage your career data in any markdown editor (Obsidian, VS Code) or in the included web dashboard. Most career tools lock you into their UI. Yours offers both paths. 2. The repo is the database. No SaaS, no cloud, your data stays on your laptop as markdown files. 3. It's open source. Nearly every other career tool is closed proprietary.
Does a similar job
all alternatives →- ECExplore careers that you don't know even exist2023 · careergpt.ai · ▲88
"Excited to launch CareerGPT.ai on Hacker news today! We're on a mission to help people ..yada...yada" No, that's ChatGPT's writing, not mine :) Folks, I was a PhD student once, in a non-home country, and just wished to know what was it like to go and work in the industry, being a programmer, or started a company. Torn apart between choices, I just wished there was a totally unbiased counselor to talk to. I couldn't do that with my supervisor since he always encouraged me to finish the thesis (of course). Heck, had ChatGPT exist back then, I would have had more infos and made decision…





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.
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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, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com