In the entry stage of Web3, beginners are often deterred by 'data written in code'—seeing terms like 'TVL, APY, Gas fees' is like reading a password, and when faced with 'holding ratio pie charts and fund flow charts', they don't know where to start. They want to understand whether a certain token is worth buying but are confused by data such as 'on-chain address associations and ecosystem activity'. Traditional tools assume users 'understand Web3 terminology and can interpret professional charts', providing no 'step-by-step guidance' for beginners, leading many novices to abandon exploration due to 'data thresholds'. Bubblemaps breaks out of the 'professional user positioning', centering on 'beginner-friendly' to create a 'Web3 data entry navigation system', using 'plain language definitions, step-by-step chart teaching, and dumbing down decision making' to help beginners easily understand on-chain data, quickly grow from 'data novices' to 'entry-level players who can make basic decisions'.
1. 'Plain Language Definitions': Translating 'professional jargon' into 'everyday language'
The professional terms of Web3 are the first hurdle for beginners—terms like 'impermanent loss', 'staking liquidation', and 'cross-chain bridge' have meanings that differ greatly from their literal interpretations. Even after checking the dictionary, beginners still don't understand 'what it has to do with them'. Bubblemaps' 'Plain Language Module' not only provides 'plain definitions' for these terms but also includes 'contextual examples', enabling beginners to understand the core meaning in 10 seconds.
Plain language explanations hit the pain points of beginners:
• TVL (Total Value Locked): Not just 'the total value of assets staked within the ecosystem', but translated into plain language as 'how much money people have put on this platform—more money means the platform is more trusted, but also check if the money is concentrated in the hands of a few'. For example: 'A certain DeFi platform has a TVL of $1 billion, which is $500 million more than last month, indicating that more people are willing to put money here';
• Impermanent Loss: Instead of saying 'loss incurred by liquidity providers due to asset price fluctuations', it is explained as 'if you provide liquidity with 1 ETH and 1000 USDT on an exchange, and if ETH rises to 2000 USDT, the amount of ETH you receive will decrease, and the amount of USDT will increase, which may result in earning less than simply holding the assets; this is impermanent loss', with an attached 'tip to avoid: prioritize pairs of assets with low price fluctuations (like USDT/USDC)';
• Gas Fees: Simplified as 'the 'service fee' paid to miners when transferring on-chain or buying NFTs—service fees are high during peak times and low in the early morning, just like the surge pricing for taxis during rush hours', for example: 'Ethereum transfer at 9 AM costs 20 USDT in gas fees, while at 2 AM it might only cost 5 USDT'. A certain beginner finally understood 'why people say not to perform small transfers on Ethereum during peak times' through the plain language explanation, and subsequently chose to transfer at night, saving nearly 100 USDT in fees every month.
2. 'Step-by-Step Chart Teaching': Breaking down 'complex charts' into a 'three-step understanding method'
Beginners often give up on analysis when facing 'bubble charts, fund flow charts, and holding ratio charts' because they 'don't know what to look at first or what to focus on'. Bubblemaps' 'Chart Guidance Function' adds 'step-by-step instructions' to each type of professional chart, teaching beginners to interpret data according to the steps of 'look at the overall picture first, then focus on key points, and finally assess risks', just like 'a teacher guiding students through problems'.
Step-by-step guidance for easy operation:
• Holding Ratio Pie Chart: Step one 'look at the overall picture'—'How many sections does the pie chart have? What percentage does the largest section occupy? (If the percentage exceeds 50%, it indicates high risk of control by a small number of people)'; Step two 'look at the key points'—'Do the top 5 sections together exceed 80%? If so, this indicates concentration of chips, making the price easily manipulable'; Step three 'look at the risks'—'Are the smallest sections all small percentages? If there are many small percentages, it indicates a more dispersed community of mid-to-small users'. For example: 'In a certain token's pie chart, the largest section occupies 30%, and the top 5 sections together account for 65%, suggesting that beginners should be cautious due to the concentration of chips';
• Fund Flow Chart: Step one 'look at the direction'—'Is more money flowing in (more green arrows) or flowing out (more red arrows)? More inflows indicate buying, while more outflows indicate selling'; Step two 'look at the scale'—'Are the arrows thick from large amounts or thin from small amounts? Large inflows are more reliable, while a cluster of small amounts might indicate retail following the trend'; Step three 'look at the source'—'Is the inflow coming from mid-to-small wallets (distributed addresses) or from top addresses (concentrated transfers)? More mid-to-small wallets indicate spontaneous community buying, while more top addresses might indicate project party manipulation'. A certain beginner analyzed the fund flow chart of a certain NFT step by step and found 'many red arrows and all large outflows', decisively giving up the purchase and avoiding a subsequent 40% drop in floor price.
3. 'Dumbing Down Decision Making': Turning 'complex analysis' into 'multiple-choice questions'
Beginners fear 'analyzing data to make decisions' because they worry about 'missing key information or making wrong judgments'. Bubblemaps' 'Beginner Decision Assistant' transforms on-chain data into 'simple multiple-choice questions', allowing beginners to just choose based on actual situations, and the system will provide 'clear suggestions' without needing to conduct complex analyses.
Scenario-based design of the decision assistant:
• Whether to buy a certain token: Provide 3 core multiple-choice questions—1. 'Does the top 10% of addresses hold less than 50% of this token? (Yes/No)'; 2. 'Has the number of small wallets increased in the last 7 days? (Yes/No)'; 3. 'Does the project have a legitimate audit report? (Yes/No)'. If 2 or more 'Yes', suggest 'small investment (not exceeding 5% of total assets)'; if only 1 'Yes', warn 'higher risk, suggest further observation'; if all 'No', directly advise 'do not buy, avoid pitfalls';
• Should I participate in minting a certain NFT: Simplified to 2 key questions—1. 'Is the minting price lower than 80% of the current floor price of similar NFTs? (Yes/No)'; 2. 'Does the project party have successful operational cases in the past? (Yes/No)'. If both are 'Yes', suggest 'small minting (not exceeding 1 ETH)'; if one is missing, warn 'exercise caution, may have risk of price drop'. A certain beginner used the decision assistant, bought 0.5 ETH with '2 Yes' conditions for a certain token, and after a month, the token rose by 60%, earning for the first time based on on-chain data, completely dispelling the concerns of 'data being difficult and not daring to touch it'.
Summary
From helping beginners break through jargon with 'plain language explanations', to teaching analysis with 'step-by-step chart guidance', and finally simplifying decision making to empower beginners to make decisions, Bubblemaps positions itself as a 'beginner navigator', transforming the 'high threshold' of Web3 data into 'gentle steps'. It is no longer a 'tool that only serves professional users', but rather a 'mentor for Web3 novices'—helping newcomers easily get started, avoid detours, and quickly build confidence in data, allowing more people to understand and effectively use on-chain data, truly achieving the goal of 'Web3 data, even novices can understand'.@Bubblemaps.io
