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2 Days, 20x: A Quick Look at the Automated Market Making Mechanism of the New Gem Snowball

The meme token Snowball" launched on pump.fun on December 18 and gained significant traction in the English-speaking crypto community, reaching a $10 million market cap within four days while largely flying under the radar in Chinese crypto circles. Its core innovation is an automated market-making mechanism: instead of the typical "creator fee" (usually 0.5%–1% per transaction) going to the developer’s wallet—a common setup that often leads to rug pulls—Snowball directs 100% of this fee to an on-chain bot. This bot periodically: 1. Buys back tokens to create buy pressure, 2. Adds the purchased tokens and corresponding SOL to the liquidity pool to improve depth, 3. Burns 0.1% of tokens to induce deflation. The fee rate also adjusts dynamically based on market cap (0.05%–0.95%) to balance accumulation and transaction friction. The idea is a "snowball effect": trading generates fees → fees fuel buybacks → buybacks may push price up → higher prices attract more trading. On-chain data shows 7,270 holders, with the top 10 holding ~20% of supply. Trading volume has been relatively balanced between buys and sells. However, the token remains highly speculative. While the structure reduces dev exit risk, it doesn’t eliminate other meme coin risks like low liquidity, narrative fatigue, or large holder dumps. Similar projects like FIREBALL are emerging, suggesting a trend toward "mechanism-driven memes." But as past examples like OlympusDAO and Safemoon show, complex tokenomics alone don’t guarantee sustainability—external demand and market conditions remain critical. In short: Snowball is a meme first and an experiment second. Its mechanism is interesting, but it doesn’t change the high-risk, speculative nature of meme coins.

marsbit12/22 10:42

2 Days, 20x: A Quick Look at the Automated Market Making Mechanism of the New Gem Snowball

marsbit12/22 10:42

2 Days, 20x: A Quick Look at the Automated Market Making Mechanism of the New Gem Snowball

Snowball, a new meme token launched on pump.fun on December 18, gained significant traction in the English-speaking crypto community by introducing an automated market-making mechanism designed to create a self-sustaining "snowball effect." Unlike typical meme coins where creators take a fee (usually 0.5%-1%) from each transaction, Snowball redirects 100% of this fee to an on-chain bot. This bot uses accumulated funds to buy back tokens, add liquidity to the pool, and burn a small portion of tokens periodically. The goal is to create continuous buy pressure and improve trading depth, theoretically allowing the token to grow organically through increased trading activity. Within four days, Snowball reached a $10 million market cap with over 7,000 holders and relatively decentralized ownership. However, the mechanism relies heavily on sustained trading volume to fuel the buyback bot. In a cold market with low on-chain activity, this "flywheel" could reverse if new buyers diminish. While the structure reduces developer exit risk, it doesn’t eliminate other meme coin dangers like large holder dumps or narrative fatigue. Similar projects like FIREBALL are emerging, indicating interest in "mechanism-driven memes," but past examples like OlympusDAO and Safemoon show that mechanisms alone don’t guarantee long-term value. Snowball remains primarily a meme experiment—interesting, but high-risk.

深潮12/22 10:24

2 Days, 20x: A Quick Look at the Automated Market Making Mechanism of the New Gem Snowball

深潮12/22 10:24

Identity, Recourse, Attribution: Decoding the Three Breakthrough Points of the Next-Generation AI Agent Economy

Identity, Recourse, Attribution: Decoding the Three Breakthrough Points of the Next-Generation AI Agent Economy As AI agents begin to handle transactions, new standards like OpenAI's ACP and Google's AP2 are emerging to facilitate payments, while protocols like x402 enable machine-to-machine micropayments. However, these systems lack the trust infrastructure—identity verification, fraud detection, and dispute resolution—that underpins traditional commerce. This creates a critical gap: while blockchain enables fast, irreversible settlements, agents operate without mechanisms for recourse when errors occur. The solution requires building new layers for the agent economy: a "Know Your Agent" (KYA) identity system to establish persistent, verifiable credentials; a recourse mechanism to handle disputes and provide insurance-like protection; and an attribution layer to track influence on purchasing decisions. Established players like card networks and AI labs are unlikely to lead this effort due to misaligned incentives, creating opportunities for startups. The development of agent commerce will unfold in three stages: as an interface (current stage), executing under human supervision (where trust layers become critical), and fully autonomous transactions. Startups that build identity, recourse, and attribution infrastructure will enable the transition to an economy where agents transact freely and securely at scale.

深潮12/22 10:00

Identity, Recourse, Attribution: Decoding the Three Breakthrough Points of the Next-Generation AI Agent Economy

深潮12/22 10:00

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