vincentsch

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5posts
Nov 60 posts
  1. YouTube · · YouTube description · Eddwan Hallen · vincentsch/explainroo

    Top 5 open source do GitHub | Vol. 12 #shorts Os projetos #5 a #1 do Top 15 open source do GitHub, Vol. 12, 10 segundos para cada um. #5 impeccable: pbakaus/impeccable #4 Habblaud: marmottajr/habblaud #3 explainroo: vincentsch/explainroo #2 ClawRouter: BlockRunAI/ClawRouter #1 Fabro: fabro-sh/fabro Vídeo completo com os 15: youtu.be Oferecimento: Hallen Tech, hallentech.com #shorts #opensource #github

    16 likes · 249 views
  2. YouTube · · YouTube description · Eddwan Hallen · vincentsch/explainroo

    Mais 15 projetos open source do GitHub que valem o seu tempo | Vol. 12 Mais 15 projetos open source do GitHub que valem o seu tempo, em contagem regressiva e com 10 segundos para cada um: de um robô caranguejo a uma fábrica de software com agentes, passando pelo runtime da NVIDIA para isolar agentes de IA e um escritório em pixel art feito no Brasil. 📺 Décimo segundo volume da série Open source do GitHub. Escolhidos pela análise da lista inteira (estrelas, frequência de commits, último commit, README, documentação, capturas e site), conferida em 22/10/2026. Qual desses você vai testar primeiro? Conta nos comentários! ⏱️ CAPÍTULOS E LINKS 0:00 Abertura 0:10 #15 wanderer: catálogo self-hosted das suas trilhas de GPS, com mapas, planejamento de rotas e compartilhamento (4 mil estrelas) open-wanderer/wanderer 0:20 #14 mStream: servidor de música self-hosted com apps no celular, capas automáticas e acesso fora de casa (2,4 mil estrelas) IrosTheBeggar/mStream 0:30 #13 Jumper: robô caranguejo de 22 articulações e o kit de IA para criar aparência, movimentos e cenas (2,8 mil estrelas) KingKongRobotics/jumper 0:40 #12 withoutBG: remove o fundo de imagens em Python, localmente com pesos abertos ou pela API na nuvem (1,3 mil estrelas) withoutbg/withoutbg-python 0:50 #11 Helical Insight: plataforma de BI open source com dashboards, relatórios e chat analítico com IA (1,1 mil estrelas) helicalinsight/helicalinsight 1:00 #10 json-render: framework de UI generativa: a IA monta a interface só com os componentes do seu catálogo (18,8 mil estrelas) vercel-labs/json-render 1:10 #9 OpenShell: runtime da NVIDIA que isola agentes de IA e aplica regras do que cada um pode acessar (17,8 mil estrelas) NVIDIA/OpenShell 1:20 #8 inlark: cliente de e-mail desktop para Linux, Windows e Mac, sem assinatura e sem telemetria inlark/inlark 1:30 #7 morphicons: transforma qualquer ícone SVG em outro com animação de mola, sem dependências (2,9 mil estrelas) guillermolg00/morphicons 1:40 #6 OpenOats: transcreve reuniões localmente no Mac e sugere falas a partir das suas notas (2,6 mil estrelas) yazinsai/OpenOats 1:50 #5 impeccable: skill com 24 comandos e regras que tiram a cara de IA do design de frontend (85 mil estrelas) pbakaus/impeccable 2:00 #4 Habblaud: escritório virtual em pixel art para os agentes do Claude Code e do Codex (projeto brasileiro) marmottajr/habblaud 2:10 #3 explainroo: vídeos explicativos com narração feitos pelo seu agente de IA, renderizados no seu computador vincentsch/explainroo 2:20 #2 ClawRouter: roteador que escolhe o modelo de IA mais barato capaz de cada tarefa (6,6 mil estrelas) BlockRunAI/ClawRouter 2:30 Oferecimento Hallen Tech 2:44 #1 Fabro: fábrica de software open source: o processo vira um grafo, os agentes executam e você aprova onde importa (1,7 mil estrelas) fabro-sh/fabro 2:54 Encerramento 🧡 Oferecimento: Hallen Tech, liderança de tecnologia sob demanda, software, cloud e segurança para a sua empresa. Site: hallentech.com E-mail: contato@hallentech.com Instagram: instagram.com LinkedIn da Hallen Tech: linkedin.com LinkedIn do Eddwan: linkedin.com Se curtiu, deixa o like, segue o canal e ativa as notificações para a próxima lista. #opensource #github #programacao #ferramentas

    382 likes · 4 comments · 14,464 views
  3. YouTube · · YouTube description · Alex Hitt · vincentsch/explainroo

    Explainroo GitHub Overview: Offline AI Agents for Deterministic Explainer Videos explainroo by vincentsch: vincentsch/explainroo Official documentation: explainroo.com Explainroo is an MIT-licensed JavaScript toolkit for producing narrated explainer videos and software demonstrations through an offline, agent-driven pipeline. The overview follows how an AI coding agent turns a narration script and JavaScript scene instructions into synchronized visuals: local Kokoro text-to-speech creates the voice track, Whisper performs forced alignment, and a headless Chromium canvas renders formulas, icons, charts, and geometric diagrams. The final stage uses FFmpeg to combine rendered frames, narration, music, audio ducking, and subtitle tracks into an MP4. You’ll also see how the virtual camera keeps labels and chart axes in frame, and where the approach stops: explainroo is designed for scripted vector-based educational content, not photorealistic generation or unscripted live-screen recording. TimeStamps: 0:00 Why manual technical video production is costly 0:37 Agent-driven orchestration replaces timeline editing 1:16 From script files to local Kokoro narration 1:38 Whisper forced alignment turns speech into timing data 2:06 Headless Chromium renders the visual canvas 2:33 Virtual camera framing with bounding boxes 2:47 FFmpeg assembles frames, voice, and music 3:00 Automatic audio ducking during narration 3:15 The synchronized MP4 output 3:25 Programmatic rendering limits 3:48 Privacy-focused offline software demonstrations 4:10 What explainroo is built to do 🧩 Agent-authored scripts and mathematical scene coordinates 🔊 Local Kokoro speech with Whisper forced alignment 🎨 Headless Chromium rendering and virtual camera framing 🎬 FFmpeg assembly, audio ducking, and offline limits Explainroo suits technical operators who value local CPU execution, deterministic vector diagrams, and agent-driven rendering over live screen capture or photorealistic video. The tradeoff is clear: it is strongest for scripted software explainers and educational visuals, not unscripted desktop recordings. The repository and official documentation provide the source context for evaluating the approach. #Explainroo #ProgrammaticVideo #AIExplainers [es-US] YNAS ynp_dbca603cc2b42eba cinemático Carga de entorno de prueba de automatización privada. Identidad del paquete: ynp_dbca603cc2b42eba; salida: cinemática. [id] YNAS ynp_dbca603cc2b42eba sinematik Unggahan staging otomatisasi pribadi. Identitas paket: ynp_dbca603cc2b42eba; output: cinematic. [it] YNAS ynp_dbca603cc2b42eba cinematografico Caricamento di automazione privata. Identità del pacchetto: ynp_dbca603cc2b42eba; output: cinematico.

    1 like · 317 views
  4. I created explainroo for this. Just point your coding agent to the repository and give it the website of your product and it will do all the rest for you. vincentsch/explainroo

  5. 🔗 GitHub: vincentsch/explainroo --- ✉️ If you’re into AI, ML, agents, and building real systems, join my newsletter (it’s free): dankornas.substack.com

    106 views

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