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Cryptocurrency Price Monitor

Hacker News

Cryptocurrency Price Monitor

Hi HN. Checkout a friend and mine's quick weekend hack! It's not meant to be anything serious right now. Just a fun little project. Built a Cyptocurrency Price Monitor. Send an SMS to our app, and it will report price movements of 1% in either direction. You can specify Cryptocurrency, Amount you are holding, and Current USD/EUR value. No web interface (yet). If you have any major issues: Email Me (in my profile). Running this Beta for a week, at the end of the week your number will be removed from the system. You can re-subscribe a the end of the 7 day period. This is all free for now as we want to see this scale out. Number to use for Beta: 352-504-3942 Supported Codes for Beta: BTC - bitcoin | XRP - ripplecoin | ETH - ethereum | LTC - litecoin | DASH - dash Register A Currency [CODE][YOUR VALUE][USD or EUR] Bitcoin Example: You have 10 bitcoins and want to see when it makes a 1% change BTC10USD Ripple Coin Example: You have 282.44 Ripple Coin same as above XRP282.44USD UnRegister A Currency [CODE]REMOVE Bitcoin Example: BTCREMOVE Ripple Coin Example: XRPREMOVE Thanks!

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Actual performance

2points
Did not reach leaderboard

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50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email, code · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
24%24% predicted probability of success on AppSumo, 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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