
Sensata - Finanzas IA
Domina tu tarjeta de crédito. Trae tu propia clave API de IA
What it does
Sensata es una aplicación de finanzas personales para iPhone la app esta pensada para funcionar sin una suscripción obligatoria. Puedes organizar tus cuentas, registrar movimientos y entender tus finanzas sin convertir tu vida financiera en otro cobro recurrente. los modelos tienen un costo real de procesamiento. Sensata puede cubrir esa capa con Plus, pero también puedes conectar tu propia API, elegir tu proveedor y pagar directamente por tu consumo. O siempre puedes donar al proyecto)
Sensata es una aplicación de finanzas personales para iPhone que te ayuda a tomar decisiones más sensatas con tus finanzas.
La app que te ayuda a tomar decisiones más sensatas con tus finanzas. Sensata nace de una idea sencilla: una app de finanzas no debería obligarte a pagar una suscripción solo para poder usarla. Sensata nació de una frustración bastante sencilla: estar cansado de pagar una cuota mensual obligatoria para poder usar una herramienta que debería ayudarte, no encerrarte en otro pago. Creo que el futuro está en pagar por lo que realmente cuesta, no por el simple hecho de poder abrir y organizar tus propias finanzas. Por eso, el núcleo de Sensata está pensado para funcionar sin una suscripción obligatoria. Puedes organizar tus cuentas, registrar movimientos y entender tus finanzas sin convertir tu…from sensata-web.vercel.app
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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, August 2026
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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.
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