We are creating the Venmo of Ethereum

Hacker News

We are Lapis and our goal is to create a web/mobile platform that will facilitate transactions using Ethereum, a digital currency. Our main target audience for this app includes market vendors and small businesses as an alternative to high-fee payment services. The platform solves the wallet issue that Ethereum currently has and you no longer will need to type in a 40+ character wallet address, just a username and the app handles the rest on the decentralized network. If you are interested in Lapis check out our website: uselapis.com and if you have any questions for us, please fill out this google form: https://goo.gl/forms/lbygO9xOqcFC5C0w1 or leave a comment down below. Thank you!

Visit product View on Hacker NewsMar 30, 2018

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Actual performance

4points

2comments

Did not reach leaderboard

Launch Intel predictions

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

72%72% 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.

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

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, 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

31%31% 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: google, user, using · Missing: mac, agents, macos

28%28% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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