Aurelia
Yap To App - AI Co-Founder
What it does
Meet Aurelia: Your Voice-Driven AI Co-Founder Speak. Build. Validate. Launch. Aurelia isn’t just a dev tool. She’s the co-founder who: Sees your screen and understands context (not just a chatbot) Builds your MVP through voice conversation—no code, just talk Validates your business while you build (problem, market, pitch) Practices your pitch with you until it’s sharp Stays with you from idea through funding
Does a similar job
all alternatives →- IOI open-sourced my AI toy company that runs on ESP32 and OpenAI realtime2025 · github.com · ▲177
Hi HN! Last year the project I launched here got a lot of good feedback on creating speech to speech AI on the ESP32. Recently I revamped the whole stack, iterated on that feedback and made our project fully open-source—all of the client, hardware, firmware code. This Github repo turns an ESP32-S3 into a realtime AI speech companion using the OpenAI Realtime API, Arduino WebSockets, Deno Edge Functions, and a full-stack web interface. You can talk to your own custom AI character, and it responds instantly. I couldn't find a resource that helped set up a reliable, secure websocket (WSS) AI…
FounderaJul 2026 · foundera.app · ▲30Most people are not validating their ideas before start building it! I am a 5th time tech founder, gaming included and I built & managed startup accelerator programs. I know lot of things about early stage founders and their pains as I have been there. That is why I am building Foundera. It’s an AI-Native Accelerator for tech builders. Today the problem is; most of the AI coding tools opens with a chat and asking “type your idea and start building”. This is wrong! I want to reduce the time and money spent on ideas that nobody asked for. Try it at https://foundera.app and give me…
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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…
AI · 28d ago · cactuscompute.com
Launched alongside, November 2025
the whole month →
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