$C

price faces AI adoption tailwinds and token unlock risks.

Mainnet Launch Catalyst – Q3 2025 mainnet could drive demand for C if adoption accelerates.

Token Unlocks Pressure – 84% of supply remains locked, risking dilution as vesting schedules expire.

AI Narrative Momentum – Growing demand for structured blockchain data in AI models amplifies utility.

Deep Dive @Chainbase Official #chainbase

1. Mainnet Launch & Adoption (Bullish Impact)

Chainbase’s mainnet is slated for Q3 2025, transitioning from testnet to live decentralized data infrastructure. The testnet already attracted 1,000+ node operators and processed 500B+ data queries, signaling developer traction. Post-launch, C will be used for staking, dataset access, and governance.

What this means:

Successful mainnet adoption could increase $C’s utility demand, especially if AI projects integrate Chainbase’s structured data. Historical precedents like GRT’s 2021 surge (+1,200% post-mainnet) suggest speculative upside, though execution risks remain.

2. Token Unlock Schedule (Bearish Impact)

84% of the 1B C supply is locked, with vesting cliffs for early backers (17%) and core contributors (15%) starting in Q4 2025. Worker incentives (12%) unlock linearly over 60 months, adding ~1.6M C monthly.

What this means:

Unlocks could create sell pressure if demand growth lags. For context, $C’s 24h volume ($43.5M) equals ~1.5% of the circulating supply, making it vulnerable to large holder exits. Monitoring exchange inflow/outflow metrics post-unlocks is critical.

3. AI/Web3 Data Demand (Mixed Impact)

#Chainbase ’s Hyperdata Network targets the $7.3B blockchain data solutions market, competing with The Graph and Covalent. Its focus on AI-ready data aligns with NVIDIA’s $4T valuation surge, but adoption depends on developer traction.

While the AI narrative could attract speculative capital,C needs measurable use-case growth (e.g., rising query fees or staking participation) to sustain gains. The RSI (55.62) and -23% weekly drop suggest traders are pricing in uncertainty.