u/bitnullbyte

Hey everyone,

I wanted to drop a quick update on my project. I am currently working on a custom firmware for the Stadia controller, and I’ve made some massive breakthroughs.

To start, I have successfully decompiled the firmwares and now have a complete, global view of how the entire system operates. Thanks to this, I've identified exactly how the logic worked on Google's side. I have also mapped out all the internal security systems and managed to get access to the controller's memory where the certificates are stored. 

On the practical side, I have already successfully flashed the controller back to the original Wi-Fi firmware. Right now, my main focus is on the Wi-Fi pairing process. I am actively recreating the BLE provisioning steps that the old Stadia mobile app used to do so we can securely pass the network credentials to the controller. 

The next steps from there will be to replace the hardcoded connection URLs so that the controller stops trying to talk to Google and routes everything locally instead. 
If all goes well with these next phases, we have never been closer to a fully functional custom firmware. I’ll keep you updated as things progress!

Wish me luck

Hey everyone,

I’m a dev and I’m tired of current cloud platforms taking massive cuts or dealing with insane, volatile price surges on spot markets.

My co-founder and I are mapping out a decentralized P2P AI inference network. The model is straightforward:

• For GPU Owners: You run our lightweight agent (via a simple Docker container) to host popular open-source AI models (like Flux or Qwen). You set your minimum hourly rate. You keep 90% of the revenue generated by your card (we only take a flat 10% commission).
• For Renters/Devs: They never get direct access or SSH to your machine. They just query our central API, and we securely route their inference requests to your hardware.
• Price Cap: Renters get a strict price cap so they are protected from market spikes, while you are guaranteed to touch your 90% share.

Whether you have a single gaming rig at home or handle multiple servers, we want to build this for maximum return and maximum hardware security.

Before we lock ourselves in a room to build the core architecture, we want to know:

1. As a GPU owner, does a flat 90/10 split with 100% hardware isolation (no direct user access) make you want to list your cards?
2. What is the #1 feature you need to trust a new network (instant payouts, automated power limits, uptime flexibility)?

Let us know your thoughts, thanks!

Hey everyone,

I’m a dev and I’m tired of current cloud platforms taking massive cuts or dealing with insane, volatile price surges on spot markets.

My co-founder and I are mapping out a decentralized P2P AI inference network. The model is straightforward:

• For GPU Owners: You run our lightweight agent (via a simple Docker container) to host popular open-source AI models (like Flux or Qwen). You set your minimum hourly rate. You keep 90% of the revenue generated by your card (we only take a flat 10% commission).
• For Renters/Devs: They never get direct access or SSH to your machine. They just query our central API, and we securely route their inference requests to your hardware.
• Price Cap: Renters get a strict price cap so they are protected from market spikes, while you are guaranteed to touch your 90% share.

Whether you have a single gaming rig at home or handle multiple servers, we want to build this for maximum return and maximum hardware security.

Before we lock ourselves in a room to build the core architecture, we want to know:

1. As a GPU owner, does a flat 90/10 split with 100% hardware isolation (no direct user access) make you want to list your cards?
2. What is the #1 feature you need to trust a new network (instant payouts, automated power limits, uptime flexibility)?

Let us know your thoughts, thanks!