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TensorClock

Dynamic AI ASIC overclocking layer

Videos

Tech Stack

Python
BittensorSDK
Web3

Description

TensorClock is a Bittensor subnet that creates a decentralized intelligence layer for ASIC mining optimization. The subnet leverages distributed exploration by miners to build superior optimization models that maximize mining profitability while extending equipment lifespan.

Core Value Proposition: Transform static/semi-static mining firmware into dynamic, AI-driven optimization that adapts to electricity prices, equipment degradation, and environmental conditions in real-time.

Market Opportunity: The global crypto mining optimization market represents a $50-100 million annual opportunity, with over 85% of industrial miners currently operating with suboptimal semi-static configurations that fail to adapt to all possible contextual variables.

Competitive Advantage: this is the first decentralized approach to mining optimization, combining crowd-sourced parameter exploration with proprietary model training to produce continuously improving optimization intelligence.

Progress During Hackathon

Hackathon is Phase 1 of TensorClock Roadmap.

- Launch the subnet on testnet
- Make first ASIC model
- Simulate first results and ensure everything works as stated

Team Leader
GGrotri
Project Link
Sector
AIInfra