
Opplio
Stop mass applying. Find better jobs with AI.
What it does
Opplio is an AI job copilot that helps you stop wasting time on repetitive applications. Instead of applying everywhere manually, Opplio: • finds relevant jobs across platforms • matches them to your profile • generates tailored applications • lets you review and send in seconds The focus isn’t volume it’s better matches and smarter applications. Built to reduce the friction in job hunting and make the process faster, more relevant, and less frustrating.
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- OJObsess Jobs – Apply to jobs in your sleep2024 · obsessjobs.com · ▲29
Hello! I got tired of filling out applications so I built a bot to do it for me. I decided it would probably be useful to everyone else looking for a job in this hellish market, so I built a site that applies to jobs for you, completely automatically. It took me about three months to build and I'm pretty proud of how smoothly it works. You can: Click the "Auto Apply" button next to postings in the search results and keep scrolling. It'll get added to a queue and processed within 2-5 minutes Click the Zero-Click toggle in the top right of a search and it will automatically apply day and night…

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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, 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