Enlist AI: Sub-second interview coaching with persistence
Following some initial feedback, we’ve updated Enlist AI to ensure your preparation never resets. Based on user behavior, we noticed plans were being lost on refresh, so we've implemented local persistence to keep your progress synced. What it does: Enlist AI is a full-pipeline preparation tool that turns any job description into a custom coaching experience. You paste a JD and get a personalized day-by-day study schedule. The "Mock Interview" Flow: Real-time Voice Analysis: You speak your answers out loud. We use your microphone to track performance with sub-second latency. Speech Clarity…
What it does
In the maker’s words, at launch
Following some initial feedback, we’ve updated Enlist AI to ensure your preparation never resets. Based on user behavior, we noticed plans were being lost on refresh, so we've implemented local persistence to keep your progress synced. What it does: Enlist AI is a full-pipeline preparation tool that turns any job description into a custom coaching experience. You paste a JD and get a personalized day-by-day study schedule. The "Mock Interview" Flow: Real-time Voice Analysis: You speak your answers out loud. We use your microphone to track performance with sub-second latency. Speech Clarity Scoring: The system flags filler words (um, like, you know) and scores your logic structure. Actionable Feedback: Instead of generic scores, it gives a specific "Fix it" instruction for every answer. Tailored Documents: It also generates a CV and cover letter specifically matched to the job requirements. We’re running this on Groq for the inference speed to make the feedback feel instant. Would love to hear the community's thoughts on the analysis logic. Check out at https://enlistai.vercel.app and give feedback at https://enlistai.vercel.app/feedback
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I've been deeply involved in working with AI agents and large language models (LLMs) for a while now. During a recent job search, I found myself repeatedly explaining my skills and experiences to various assistants. Around the same time, I was creating content for my website to help hiring teams understand my capabilities better and make informed decisions. MCP had started to gain momentum and I saw a way to reduce my toil. So I built an MCP server that can effectively communicate my qualifications as a job candidate. This server acts as an AI-powered resume, providing an understanding of my…




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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…
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Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com
- IB
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com

- BC
Life & fun · Apr 2026 · sam-burns.com
- IB
With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app