CareerWins
Log your wins. Let AI write your raise email.
What it does
You do great work all year, then blank when it's time to write your self-eval or ask for a raise. CareerWins fixes that. Log wins in 15 seconds. When you need them, AI turns your real accomplishments into raise emails, self-evaluations, resume bullets, promotion requests, and more. No templates. No generic fluff. Just your actual work, ready to go. Includes an AI Career Coach that gives advice based on what you've done, not what it guesses. Data stays in your iCloud.
Does the same job
all alternatives →
- 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,…
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 · 17d 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 · 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