Track3 – Analyze your crypto assets on CEX and Web3 wallets

Hacker News

"Track3" is a desktop application designed to analyze your cryptocurrency assets. It can analyze your assets across centralized exchanges and digital wallets, presenting their changes through various charts such as asset allocation, rankings, price fluctuations, and more. It does not have a backend server and by default, all data is only stored locally. However, it supports cloud synchronization, users can turn on it to make data can be synced across devices.

Visit product View on Hacker NewsJun 19, 2023

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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BetaListSuited for BetaList early-adopters · Strong signals: web3, crypto, cryptocurrency · Missing: chat, make money, real time

76%76% predicted probability of success on BetaList, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive

68%68% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

47%47% 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 · Missing: mac, agents, macos

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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