HirePadi
AI-powered job matching, fit scoring & application tracking.
What it does
HirePadi is an AI-powered job search platform built for African professionals. Instead of endlessly scrolling through job boards, HirePadi analyzes your CV, matches you to relevant opportunities, scores your fit for each role, and helps you track every application from one dashboard. What makes HirePadi different is its end-to-end AI workflow: smart job matching, application tracking, recruiter email monitoring, and personalized job recommendations, all designed to help candidates apply smarter
Does a similar job
all alternatives →- AJA job application tracker with company reviews, recruiter autoresponder2023 · rolepad.com · ▲294
Hey folks. Rolepad is a product born out of my dissatisfaction with hiring processes - both as a candidate and as a hiring manager. Processes that are non-transparent, inefficient, and full of frustration for both sides. This early iteration has focused on the application tracking aspects with a few extra goodies. These days it is common to apply to dozens of positions (some users track over a hundred opportunities). Without a record-keeping system, it can quickly become an unmanageable mess. Even the better-organized among us often end up juggling spreadsheets, emails, and various notes.…
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 · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d 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