"Quantifying human domain expertise as high-fidelity data signals for the next generation of expert AI."
Broadcast People is a professional data portal focused on quantifying human domain expertise as a raw resource for training specialized expert AI models. We move away from the static "Resume" model to build a Creator Signal Tower of active intent and verifiable metrics.
In Machine Learning, broadcasting is the mechanism used to make arrays with different shapes compatible for operations. We apply the same logic: We broadcast your unique human "data shape"—your specialized skills and domain history—to make it compatible with the high-dimensional training requirements of specialized Expert AI models.
- Expertise as Signal: We treat specialized human skills as high-fidelity data points ("Metrics") for expert model training.
- Synthetic Potential: We identify "Models" whose expertise is valuable for training specialized LLMs or expert AI agents.
- Digital Archaeology: Using AI and the Wayback Machine to restore dead portfolio sites into verified data signals, ensuring no "Proof of Work" is ever lost to bit rot.
- 📡 The Quantifier (Modality Ingestion): Ingest professional signals across Text, Audio, and Video feeds to extract high-density domain metrics.
- 📡 Intent Pulses: A live stream of signals allowing models to broadcast intent into the matrix for synchronization with commercial projects.
- 🛠️ The Metric Matrix: A structured database of Hardware, Software, and AI Models. Producers filter talent by the exact metrics required for training or production tasks.
- 📜 Data Protocol: A technical specification for the ingestion and alignment of human domain expertise into expert AI training pipelines.
- Frontend: Next.js 15 (App Router), Tailwind CSS.
- UI Aesthetic: "Cyber-Quantified" - Electric Cyan primary, Deep Orange accents, Brutalist dark background.
- Backend: Firebase (Firestore, Auth, Analytics).
- AI Engine: Google Genkit (for analytical scraping and metric quantification).
Visit the Data Protocol to understand the taxonomy of signals we collect, or Initialize your Signal to begin the quantification process.