Solana AI token Ava hit by launch sniping tied to deployer: Bubblemaps

cointelegraphPublished on 2025-12-19Last updated on 2025-12-19

Abstract

Blockchain analytics firm Bubblemaps reported that 23 wallets linked to the deployer of the Solana-based AI token Ava accumulated around 40% of the token’s supply at launch, indicating potential insider coordination. These wallets, funded via Binance and Bitget in a short timeframe, showed no prior blockchain activity before purchasing AVA. The activity, described as "sniping," involved coordinated buying at launch, leading to significant supply concentration—a red flag for potential market manipulation like rug pulls. Since its November 2024 launch, AVA’s price has fallen 79%, and it is down 96% from its January 2025 all-time high of $0.33.

Blockchain analytics firm Bubblemaps said a cluster of 23 wallets linked to the deployer of the Solana-based AI token Ava accumulated around 40% of the token’s supply at launch, raising new questions about insider coordination around the project’s debut.

The sybil wallet cluster related to the deployer shared similar patterns, including being funded in a tight time window through Bitget and Binance, receiving similar amounts of Solana (SOL) and having no blockchain activity before buying up the Ava AI (AVA) token supply at launch, Bubblemaps claimed in a Thursday X post.

“Connected to these snipers are other wallets that also bought $AVA early. Similar funding sources, sizes, and timing strongly suggest coordination across these clusters,” they said.

In crypto slang, sniping refers to employing crypto trading bots to automatically purchase new token supply as soon as the tokens become publicly available, aiming to buy at lower prices before the general public.

While the token was launched on memecoin launch platform Pump.fun, aiming for a decentralized, community-driven debut, the wallet cluster’s activity suggests acquisitions that led to a single entity holding 40% of the token’s supply.

Source: Bubblemaps

Related: Crypto nears its ‘Netscape moment’ as industry approaches inflection point

A large token supply concentrated across a few wallets can help investors detect scams such as rug pulls, where insiders remove liquidity or stage a mass sell-off, resulting in a steep price collapse that leaves investors with worthless tokens.

The coordinated activity was uncovered through Bubblemaps’ Time Travel feature, a forensic-grade analytics tool launched in May that enables Web3 users to reconstruct the historical distribution of tokens, aiming to detect early insider activity.

Related: Bubblemaps challenges PEPE’s fair launch, alleges 30% of genesis supply bundled

AVA AI token falls 96% from all-time high

The coordinated buying activity was revealed over a year after the AVA token’s launch on Nov. 13, 2024. The token reached a fully diluted valuation (FDV) of $300 million by January 2025, making it a popular autonomous AI agent utility token native to Solana.

The AVA token is down over 79% since launch and over 96% from its all-time high of $0.33 breached on Jan. 15, 2025, CoinGecko data shows.

Source: Bubblemaps

Ava, also known as “the HOLO AI intern,” was the first AI agent built on the decentralized AI launchpad Holoworld AI. The platform allows users to create, play, or raise funds for agentic AI applications.

Holoworld claims to have over 1 million users and 700,000 AI “creations” to date.

Cointelegraph has approached Holoworld for comment on the sybil wallet cluster’s activity during the token launch.

Magazine: Memecoin degeneracy is funding groundbreaking anti-aging research

Trending Cryptos

Related Questions

QWhat did blockchain analytics firm Bubblemaps discover about the Solana-based AI token Ava's launch?

ABubblemaps discovered that a cluster of 23 wallets linked to the token's deployer accumulated around 40% of the token's supply at launch, indicating potential insider coordination.

QWhat are the common patterns identified in the sybil wallet cluster related to the AVA token deployer?

AThe wallets were funded in a tight time window through Bitget and Binance, received similar amounts of Solana (SOL), and had no prior blockchain activity before buying the AVA tokens.

QWhat is 'sniping' in the context of crypto token launches?

ASniping refers to using crypto trading bots to automatically purchase a new token supply as soon as it becomes available, aiming to buy at lower prices before the general public.

QHow much has the AVA token fallen from its all-time high, according to CoinGecko data?

AThe AVA token is down over 96% from its all-time high of $0.33, which was reached on January 15, 2025.

QWhat is the potential risk associated with a large token supply being concentrated in a few wallets?

AIt can indicate potential scams like rug pulls, where insiders remove liquidity or stage a mass sell-off, causing a steep price collapse and leaving investors with worthless tokens.

Related Reads

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

In mid-June, three seemingly independent industry events—the compliance-driven throttling of Fable 5, the open-sourcing of GLM-5.2, and the leaked release timeline for GPT-5.6—are pushing the global AI industry toward a watershed moment. These shifts signal a fundamental restructuring of the industry's underlying logic. First, **"usability" has substantially overtaken "advanced capabilities"** as the primary weight, pushing the global large language model (LLM) supply chain into a "dual-track" phase of controlled closed-source and local open-source coexistence. Second, **the competitive moats of closed-source giants are shifting**. Their technical focus is moving from "language intelligence" toward "spatial intelligence (world models)"—a domain heavily reliant on computing power. Third, faced with常态化 transnational compliance risks, **a "model-agnostic" decoupled design has become a survival necessity for application-layer developers to maintain business continuity.** The article details how Anthropic's Fable 5, despite its advanced engineering feats, was restricted for non-U.S. citizens within 72 hours of launch, highlighting how geopolitical compliance can instantly limit even the most advanced models. In response, the open-source camp, exemplified by Zhipu AI's MIT-licensed GLM-5.2, is gaining market share by offering stable performance improvements and significant cost advantages (up to 70% savings for enterprises), while achieving full adaptation with domestic semiconductor platforms. Meanwhile, closed-source leaders like OpenAI are pivoting. The anticipated GPT-5.6 reportedly shifts focus from language to spatial intelligence and world models, aiming to rebuild a generational gap in areas like 3D understanding, simulation, and industrial design that demand immense compute. The core conclusion is that the LLM supply chain's logic has changed. Enterprises must now evaluate infrastructure based on a composite of technical performance and policy compliance. For developers, complete reliance on a single closed-source API poses unacceptable risk. Implementing a truly model-agnostic architecture—enabling swift switches to compliant, locally deployable open-source alternatives—is no longer just good practice but a fundamental baseline for business continuity.

marsbit2h ago

GPT-5.6 Countdown: Abandon the Illusion of a Single API, Computational Iteration Can't Outpace a Single Page of Compliance

marsbit2h ago

Is the 'Token Subsidy War' Among AI Giants Almost Over?

The article discusses the ongoing "token subsidy war" among AI giants like OpenAI and Anthropic, questioning whether it's nearing its end. It reveals that current AI subscription prices are heavily subsidized, with some plans offering tokens at up to 70 times the actual cost to attract and retain heavy users, especially developers and enterprises. This strategy mirrors past internet-era subsidy battles, but with a key difference: AI tokens lack "lock-in" effects. Unlike ride-hailing or food delivery apps, users can easily switch between AI providers as APIs become standardized, making it difficult for companies to raise prices post-subsidy. The piece highlights a structural asymmetry in the competition. Giants like Google, with massive advertising revenue, can afford to subsidize tokens indefinitely, akin to using "tokens as a weapon." In contrast, venture-backed companies like OpenAI and Anthropic face pressure to become profitable, especially as they approach IPO. The article cites Google Ventures founder Bill Maris, who suggests Google could slash token prices by 80%, putting immense pressure on competitors. Two potential endgames are presented: the "internet service" model (subsidize, monopolize, then raise prices) and the "utility" model (tokens become a standardized, low-margin commodity like electricity). Given the low switching costs, the latter seems more likely. The competition may not have a single winner but could instead accelerate AI's evolution into a foundational, infrastructure-level technology, akin to a public utility. For now, users continue to benefit from heavily subsidized token costs.

marsbit2h ago

Is the 'Token Subsidy War' Among AI Giants Almost Over?

marsbit2h ago

Beyond the Stadium: The Profitable Games Surrounding the World Cup

"Beyond the Pitch: The Profit Game Around the World Cup" The FIFA World Cup transcends being a sporting spectacle, evolving into a massive global arena for speculation and profit-seeking. The 2026 tournament has amplified this dynamic, creating a multi-layered ecosystem of financial opportunism alongside the football. **Prediction markets** have surged into the mainstream. Platforms like Polymarket and Kalshi saw trading volumes for World Cup contracts soar, attracting new users with their financial trading model and high-profile, chain-based wealth stories that overshadow traditional sports betting in terms of growth and narrative. However, **traditional sportsbooks** remain the dominant force, leveraging established user habits, legal markets, and comprehensive product offerings to handle the vast majority of speculative wagers, with projections suggesting record-breaking betting volumes. Capital markets also react. **"Concept stocks"** in countries like South Korea and Japan experience volatile price swings based on team performance and anticipated fan spending on items like chicken, beer, and viewing parties, effectively becoming a stock market reflecting fan sentiment. The **ticket resale market** has become a sophisticated arena for arbitrage. Prices fluctuate wildly based on team draws and star power, with sellers sometimes listing tickets they don't yet own in a practice akin to short-selling, while FIFA's own "Right to Buy" tokens add another layer of speculative trading. **Collectibles and merchandise** offer another avenue. Panini sticker albums, with their inherent scarcity and nostalgic value, can become high-value collectibles. Limited-edition or locally themed jerseys command significant premiums on secondary markets, and even counterfeit vendors profit from fans' desire for affordable match-day identity. The **cryptocurrency** space has seen a frenzy of speculative, unauthorized World Cup-themed meme coins on chains like Solana. These tokens, often exploiting team names and player imagery, experience extreme pump-and-dump cycles, creating stories of massive gains for a few early entrants and steep losses for many others. Finally, an entire industry thrives on **providing information and tools** to other speculators. Developers create platforms like SeatSidekick to track ticket inventory and prices, while paid Telegram groups and subscriptions sell betting tips and predictions, monetizing the widespread desire for an informational edge. In essence, the World Cup has become a compressed, global laboratory for speculation. While the games determine champions on the field, a parallel, complex network of financial transactions—spanning prediction contracts, bets, stocks, tickets, collectibles, crypto, and information services—settles its own scores in the global market.

marsbit3h ago

Beyond the Stadium: The Profitable Games Surrounding the World Cup

marsbit3h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片