To

Top Richest USDT Addresses – Track Tether Whales Across Networks

Hacker News

Top Richest USDT Addresses – Track Tether Whales Across Networks

Ever wondered who holds the most Tether (USDT) in the crypto world? Curious about how much of the total USDT supply is concentrated in the top wallets? I've created a free tool to answer these questions and more. I present to you a comprehensive tracker for the top USDT (Tether) addresses across major networks like Ethereum, Tron. Did you know? The top 100 addresses hold a significant portion of the total USDT supply. With this tool, you can see exactly how much they control and track changes over time. Key features: - Lists top 100 USDT addresses by balance - Shows network, balance, and transaction count for each address - Visualizes USDT distribution across top holders Calculates the percentage of total USDT supply held by top addresses - Updates data regularly - Free to use As stablecoins like USDT play an increasingly important role in crypto markets, it's crucial to have transparency into major holders and fund flows. This tool aims to provide insights into USDT whale activity and concentration, helping users understand the dynamics of wealth distribution in the Tether ecosystem. I'd love to get feedback from the HN community on the tool's usefulness and any suggestions for improvement. Check it out: https://usdtqrtool.com/top-usdt-addresses The website also offers other USDT tools: - [USDT Address Checker]( https://usdtqrtool.com/check-usdt-address ): Validate USDT addresses across networks - [USDT QR Code Generator]( https://usdtqrtool.com/ ): Generate QR codes for USDT addresses - [USDT Converter]( https://usdtqrtool.com/converter ): Convert USDT to other currencies - [Top 100 Crypto Exchanges]( https://usdtqrtool.com/top-crypto-exchanges ): View information on the top 100 cryptocurrency exchanges. - [USDT QR Code API]( https://usdtqrtool.com/api-docs ): API documentation for displaying USDT QR codes in terminal Check out all tools by this link: https://usdtqrtool.com/all-tools Let me know what you think!

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: visualize, users · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive
53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, visual, activity · Missing: mac, agents, macos
18%18% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto, cryptocurrency · Missing: web3, chat, make money
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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