Tasit
Mobile Ethereum dapps
I believe proof of decentralization for a dapp through supporting a wide variety of third-party clients is an essential component for making this entire Ethereum endeavor worthwhile and meaningfully different from web 2.
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Launch Intel predictions
Analyze your own launch →61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
36%36% predicted probability of success on BetaList, based on ML models trained on real launch data.
19%19% 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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