PromptForge Labs
155 ready-to-use AI prompts for work, career & everyday life
What it does
Most people use AI the same way — vague question, mediocre answer. PromptForge Labs fixes that. 14 packs + 1 Ultimate Bundle — 155 prompts for LinkedIn, emails, marketing, recruiting, research, job search, parenting, travel and more. Each prompt includes: → Clearly marked inputs → Expected output format → Tested on ChatGPT, Claude & Gemini For entrepreneurs, freelancers, students and job seekers. One-time purchase. Lifetime access. From $19.
Ready-to-use AI prompt packs for everyone — at home, at work, for any model. No prompt engineering required. 10 ready-to-use AI prompts for students and researchers who want AI to sharpen their thinking, not replace it. What's included: Summarize a Research PaperGenerate a Literature Review OutlineCreate Research Questions and HypothesesExplain a Complex Concept SimplyWrite an Academic AbstractFormat References and CitationsCreate a Study PlanWrite a Thesis IntroductionCritique a Research MethodologyGenerate Discussion Section Points Works with Claude, ChatGPT, Gemini, and any AI assistant. Who it's for: Students, PhD candidates, and researchers at any level who want to move from blank page…from promptforgelabs.lemonsqueezy.com
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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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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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 · 16d ago · simedw.com