Recall vs Bittensor — how do they compare? Recall trades at Rp613.35 (market cap Rp197,76M, Rp105,11M 24h volume), while Bittensor trades at Rp3,634,051 (market cap Rp40,14T, Rp2,63T 24h volume). The key difference: Bittensor is far larger — about 202973.3× Recall's market cap, and Recall's circulating supply is 323,1M / 1B RECALL (33%) versus 11,1M / 21M TAO (53%) for Bittensor. Which is the better fit depends on your goals — on Pluang, investors hold Recall for 8 Days and Bittensor for 42 Days on average.
| RECALL | TAO | |
|---|---|---|
Market Cap | Rp197,76M | Rp40,14T |
Volume (24h) | Rp105,11M | Rp2,63T |
Circulating Supply | 323,1M / 1B RECALL (33%) | 11,1M / 21M TAO (53%) |
Typical Hold Time | 8 Days | 42 Days |
Signals from Pluang's Aura AI — not financial advice
Recall is trading at Rp608.92 with a bearish technical signal, currently testing resistance at R1 (Rp607). The token shows neutral oscillators but bearish moving averages, indicating short-term pressure. With only 33% of the max 1M supply circulating and an average hold time of 8 days, on-chain activity appears limited. No major protocol updates or ecosystem developments were noted in recent data.
Overall outlook remains cautious due to weak technical momentum and low liquidity. Key opportunities include potential rebounds from support levels (S1: Rp579, S2: Rp563) if buying interest emerges. Major risks include high volatility from thin trading volumes, regulatory uncertainty for crypto assets in Indonesia, and limited network adoption hindering fundamental growth.
Bittensor (TAO) is currently trading at Rp3,599,216 with a bearish technical outlook, showing sell signals across moving averages and oscillators. The token's market cap stands at Rp39.83T with 53% of its 21 million max supply in circulation. Recent news highlights ecosystem growth through advisor appointments and index inclusions, though technical indicators suggest near-term pressure.
Overall outlook remains cautious due to strong bearish signals, but long-term potential exists in decentralized AI adoption. Key risks include high volatility and regulatory uncertainty, while opportunities lie in network expansion and increasing institutional interest in AI-focused crypto projects.
What Pluang investors did over the last 30 days
Latest headlines on both assets
Recall is a decentralized skill marketplace where communities fund, rank, and find AI solutions that fit their needs. It provides transparent, verifiable reputation infrastructure for the AI agent economy through economic incentives and performance-based evaluation.
Read more on RECALL →Bittensor is an open-source protocol that powers a decentralized, blockchain-based machine learning network. Machine learning models train collaboratively and are rewarded in TAO according to the informational value they offer the collective. TAO also grants external access, allowing users to extract information from the network while tuning its activities to their needs.
Read more on TAO →