BubbleMaps: Visualizing the 'Wealth Distribution' of NFTs and Tokens with On-Chain Data to Identify Bubbles and Opportunities

In the crypto world, the distribution of token and NFT holdings often hides key signals—whale control, team sell-offs, or community-driven? BubbleMaps transforms these hidden holding relationships into an easily understandable 'Wealth Map' through visualizing on-chain data, helping investors avoid traps and discover value.

What is BubbleMaps?

An on-chain holding analysis platform with core features:

Visualize token/NFT holder distribution: Use interactive bubble charts to display holding concentration (e.g., the proportion of TOP 10 addresses).

Track capital flows: Mark associated addresses (e.g., teams, exchanges, market makers) to identify suspicious sell-offs or wash trading behavior.

Multi-chain support: Covers mainstream on-chain assets such as Ethereum, Solana, etc.

(Analogy: It's like using 'X-ray' to scan a project's real health status, rather than just looking at price candlesticks.)

🌟 Three Major Use Cases of BubbleMaps

1. Identify High-Risk Projects

If 80% of a token's supply is concentrated in 5 associated addresses, it may face dumping risks (Case: A certain meme coin plummeted 60% after being exposed by BubbleMaps in 2023).

2. Discover Undervalued Assets

NFT projects with dispersed holdings and a high proportion of community ownership often have greater long-term value (e.g., early CryptoPunks).

3. Monitor Whale Movements

Real-time alerts for large transfers to assist trading decisions (e.g., following up after a whale increases their holdings).

Who Needs BubbleMaps?

Retail Investors: Avoid taking over 'team-controlled' projects.

DeFi Protocols: Assess the security of newly listed tokens.

Regulatory Agencies: Track illegal capital gathering sites.

Why is On-Chain Transparency Crucial?

'Information Asymmetry' in the crypto market: Project parties often conceal true holdings; BubbleMaps enforces 'de-anonymization'.

'False Prosperity' in the NFT space: Identify fake transactions through analyzing holder overlap rates.

Shift in Web3 Investment Paradigm: From 'listening to stories' to 'looking at data' for rational decision-making.

What 'pits' have you avoided due to holding distribution data?

If a whale suddenly increases their holdings of a token, would you choose to follow suit? @Bubblemaps.io #Bubblemaps $BMT