Love this one! My immediate thought for a build: just a camera with on-device VLMs and LLMs. You could point it at a normal whiteboard (or a wall of sticky notes), and the model could interpret the handwriting, track the tokens, and sync the state digitally in real-time without needing any special "smart" hardware.
It feels like a much more flexible approach than an expensive proprietary whiteboard. Would a camera-only setup cover your use case?
I mean both, and in AI today, they’re deeply intertwined. The “capital game” isn’t just about money—it’s about access to compute, talent, and time. Whoever has the resources can experiment, iterate, and potentially uncover the next big architecture. That financial power naturally translates into influence—control over the market, narrative, and ecosystem. In practice, the investment game and the market ruler’s game often become the same thing.
With all due respect, AI is ultimately a capital game. World models aren’t where real B2B customer revenue comes from—at least compared to today’s LLMs; they’re mainly a better story for raising huge amounts of private capital. Hopefully they figure out how to build the next-gen AI architecture along the way.
I'm working on an iOS app that unlocks the hidden sensors in your AirPods, turning them into a real-time AI posture coach for work and workouts on iOS and macOS.
AirPosture: Turn your AirPods into a smart posture coach
An iOS app that uses your AirPods' sensors to catch bad posture in real time.
How it works:
Real-time tilt tracking – Your AirPods already have the tech Customizable alerts – Adjust sensitivity so it nudges you only when needed Prevent strain before it starts – Stop neck pain and headaches at the source
Has anyone explored a different angle — like mapping out the 1,000 most frequently mentioned or cited books (across HN, Substack, Twitter, etc.), then turning their raw content into clean, structured data optimized for LLMs? Imagine curating these into thematic shelves — say, “Bill Gates’ Bookshelf” or “HN Canon” — and building an indie portal where anyone can semantically search across these high-signal texts. Kind of like an AI-searchable personal library of the internet’s favorite books.
AirPosture: Turn your AirPods into a posture coach on macOS
A macOS app that uses your AirPods' sensors to catch bad posture in real time.
How it works:
Real-time tilt tracking – Your AirPods already have the tech
Customizable alerts – Adjust sensitivity so it nudges you only when needed
Prevent strain before it starts – Stop neck pain and headaches at the source
It seems OpenAI acquired Windsurf but is letting it operate independently, keeping its own brand and developing its own coding models. That way, if Windsurf runs into technical problems, the backlash lands on Windsurf—not OpenAI. It’s a smart way to innovate while keeping the main brand safe.
I'm developing a wargame-like 3D simulator designed to train AI drones into elite stealth pilots. By integrating reinforcement learning techniques and utilizing real-life local landscape data, the simulator offers highly realistic mission scenarios.
https://allenv0.github.io/