Nexus Document Parser
AI scoring & rewriting for Resumes, Papers & Reports
What it does
I built Nexus because the job market is brutal and generic resume advice was costing people offers. Nexus doesn't guess. It scores your resume against the actual job description, exposes every gap, and rewrites it in 4 precision stages until it's ready to compete. 3 modes. One toolkit: → Resume/CV — ATS analysis, skill alignment, 50+ countries → Academic Paper — structure, argument strength, clarity → Business Report — executive scoring, strategy grading Nexus does with it live. 🔥
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- SOStand out with your Resume. Use Resoume2022 · resoume.com · ▲26
My Indie hacking journey continues~ After a bit over 2 years as a solo dev, I am proud of how far I have come with Resoume. Still all alone :D Resoume is now an AI-powered resume optimization tool to help you analyze your CV. It then provides you with suggestions on how to improve your CV. On top, I also got a great set of templates with a lot of customization to make every CV unique. Resoume covers your job-seeking journey from design to content. And helps your CV to be perfectly tailored toward the job you want to apply for! That is it from me. Would love to hear your thoughts Enjoy your…
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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…
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
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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…
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Dev tools · May 2026 · github.com