Bubblemaps vs Recall — how do they compare? Bubblemaps trades at Rp214.14 (market cap Rp148,45M, Rp30,27M 24h volume), while Recall trades at Rp586.9 (market cap Rp189,25M, Rp104,91M 24h volume). The key difference: Recall is the larger of the two by market cap, and Bubblemaps's circulating supply is 697,1M / 1B BMT (70%) versus 323,1M / 1B RECALL (33%) for Recall. Which is the better fit depends on your goals — on Pluang, investors hold Bubblemaps for 19 Days and Recall for 8 Days on average.
| BMT | RECALL | |
|---|---|---|
Market Cap | Rp148,45M | Rp189,25M |
Volume (24h) | Rp30,27M | Rp104,91M |
Circulating Supply | 697,1M / 1B BMT (70%) | 323,1M / 1B RECALL (33%) |
Typical Hold Time | 19 Days | 8 Days |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
RECALL is trading at Rp592.08 with a market cap of Rp192.09M, showing bullish technical signals despite bearish moving averages. The token has 33% circulating supply with an 8-day average hold time. Current price sits near support at Rp596 with resistance at Rp626. RSI indicators show neutral momentum while ADX signals buying opportunities.
Overall outlook is cautiously optimistic with technical momentum favoring buyers. Key opportunities include potential breakout above Rp626 resistance, while risks include low liquidity and limited circulating supply. Major concerns involve the token's small market cap and potential volatility given the concentrated supply distribution.
What Pluang investors did over the last 30 days
No sentiment data available yet.
Bubblemaps raised €6.5M in 2023 and 2024 to accelerate development and expand across ecosystems. The platform is widely used for token research and supply analysis, contributing to on-chain investigations. With over 1M monthly visits, it integrates with services like Pump.fun, Etherscan, and DEX Screener.
Read more on BMT →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 →