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Maragkos Petros (MDX)
@oxydocais
COO Mutoco | Co-Founder @thecaisai | CM & SM Manager @EstiaGroup | @AvaxTeam1 Contributor
参加 January 2017
8K フォロー中    7.3K ファン
Most AI tokens still trade on attention. $REPPO is starting to show something more interesting, measurable onchain behavior I ran a deeper @nansen_ai read on @reppo and the signal is not perfect, but it is worth watching ⬢ 136.6M REPPO locked in veReppo ⬢ 13.65% of supply locked ⬢ ~$3.6M currently locked ⬢ +2.1M REPPO net locked over 30D ⬢ 4,391 holders ⬢ 1,630 buys vs 1,539 sells over 7D repeat staking behavior across multiple wallets bot activity present, but not dominant exchange flow summary showing accumulation bias The important part is not one number. It is the structure forming underneath REPPO is trying to build a market where human signal gets staked, data quality gets priced, agents consume that intelligence and network value can flow back through fees, locks and participation That is a much cleaner AI crypto thesis than “agents are coming.” The stronger onchain signals: ➣ veReppo locking is meaningful. ➣ 30D net lock growth is positive. There are repeat staking wallets, not just one time interactions. Trading activity shows slightly more buy transactions than sell transactions. Programmatic wallets exist, but the market does not appear fully dominated by bots. The honest concern, concentration is still high. Top wallets control a large share of supply and distributor plus Virtuals linked flows remain the key pressure point to monitor. So the thesis is not that REPPO is risk free. The thesis is that REPPO is one of the few AI crypto names where the market can actually measure whether narrative is turning into network behavior. Locks ➠ Flows ➠ Repeat users ➠ Agent infrastructure ➠ Fee potential ➠Data markets That is where AI x crypto becomes real. Can usage growth, agent demand, fee generation and lock growth outpace distribution pressure? That is the question. If yes, REPPO is not just another AI token. It becomes a coordination layer for machine intelligence. Still early, but this is exactly where onchain analytics separates signal from noise
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