First app to rank cryptocurrencies in real-time

Hacker News

I just published an app that ranks 500+ cryptocurrencies in real-time and lets you quickly check how your favorite coins are stacking up against the rest of the field. I made it because I wanted to see the real-time ranking of every coin and nothing existed that would let me do that. With CryptoLadder you can actually watch as coins move up and down the ladder in real-time. In addition to price and rank, it also calculates and adjusts market share, market cap, and global market cap all on the fly and in real-time. The whole point is to give everyday traders quick and easy access to real-time information so that they can make better decisions. My hope is that tools like this will empower the average person and level the playing field from the really big dogs out there. Anyways, here are the links: App Store: https://itunes.apple.com/app/cryptoladder-real-time-cryptocu... Play Store: https://play.google.com/store/apps/details?id=com.willchrist... The app is free to download and I would love to hear your suggestions/feedback.

Visit product View on Hacker NewsAug 29, 2017

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos

27%27% 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

20%20% 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 · Missing: web3, chat, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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