Radar Perito
Monitoramento de processos e prazos para peritos judiciais
What it does
Software completo de controle de processos para peritos judiciais. Monitore intimações no Datajud/DJEN, controle prazos do CPC, organize honorários e analise autos com IA. Teste grátis.
Controle processos, prazos e honorários periciais. Monitore o Datajud/DJEN e analise autos com IA. Teste grátis por 7 dias.
Centralize sua carteira pericial, automatize o acompanhamento no Datajud/DJEN, controle prazos do CPC e gerencie honorários com Inteligência Artificial. Esqueça a checagem diária manual e planilhas confusas. Tenha o controle total dos seus processos periciais. Receba avisos instantâneos sempre que houver novas movimentações nos processos que você monitora no Datajud, sem precisar acessar os sistemas dos tribunais manualmente. A inteligência artificial analisa a capa e as decisões do PDF para extrair o perito nomeado, juros/ônus e honorários sem alucinações — garantindo confiabilidade total dos dados. Cálculo monetário automático dia a dia com travas automáticas na entrega do laudo e na data…from radarperito.com.br
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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 · 17d 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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Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
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 · 17d ago · simedw.com