Elvixs
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What it does
Elvixs finds HR contacts at any company, writes AI cold emails, sends from your Gmail, and tracks opens & replies. Built for freshers and college students.
Does a similar job
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- IBI built an AI sales agent that writes and sends cold emails for you2025 · elevatesells.com · ▲6
Hey HN, I’ve been working on ElevateSells — an AI sales agent designed to take the pain out of cold outreach for solo founders and small teams. Here’s how it works: You ask the AI to generate leads or manually use the advanced lead search built in tool. You tell the AI what your business does and what problem it solve. It writes very personalized cold emails, sends them, and follows up — all automatically. You still control the voice and audience — the AI just handles the research, writing, timing, and sending. I built it after burning out managing multiple tools for lead gen, email copy,…
FirstInternshipsJul 2026 · firstinternships.com · ▲1AI cold-emails companies so students land internships
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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
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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…
Life & fun · May 2026 · github.com
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Dev tools · May 2026 · github.com