Preplor
Smart Prep. Big Step. - AI-powered exam prep platform
What it does
Preplor is an AI-powered prep platform giving access to ALL major competitive government exams under ONE affordable subscription. Why Preplor? • AI-Powered Analytics: Instant weak area detection & speed matrix • All Govt Exams in 1 Pass: SSC, Banking, Railways, PSC & Defense • Exam-Realistic CBT Engine: Matches exact TCS/IBPS exam patterns • Complete Solutions: Step-by-step tricks & detailed explanations Prepare smarter for less with Preplor!
Preplor is India
You are already spending hard-earned money on exam application forms and registrations. Preplor removes the test series barrier forever: practice on India's most authentic TCS iON CBT simulator with full access to SSC, Banking, Railways & State PSC mocks for just ₹1/Month (₹12 for 365 Days) . The traditional way of preparing for government exams is fragmented and expensive. We built a unified experience. One single plan (₹12/year) unlocks every exam series: SSC CGL/CHSL, IBPS PO/Clerk, SBI, RRB NTPC, State PSCs, and more. Exact CBT simulator with identical color palettes, section timers, question grid, and zero latency. No auto-renewal surprises, no recurring charges, no upselling. You pay…from preplor.scrollar.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.
AI · 16d ago · simedw.com
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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