Side-Project: Collection of blockchain, ICO and cryptocurrency websites

Hacker News

Managing my bookmarks bar with so many blockchain related resources was becoming a problem. So, I decided to launch a side project (non-profit) which would be a directory of blockchain related resources like - - Blockchain blogs - Blockchain books - Blockchain job websites - Blockchain YouTube channels - ICO review websites - Cryptocurrency wallets - Blockchain developer tools - Blockchain related APIs - Crypto Wallets - Crypto Price Trackers - Blockchain related chat groups - Blockchain related communities - Blockchain mining websites - Blockchain related games and everything that you would need related to blockchain and cryptocurrencies. I have built a first draft of the website here - http://cryptomanual.co Anyone can contribute to the list of links so the list can keep getting useful. This is still in beta. Please let me know your feedback.

Visit product View on Hacker NewsJun 13, 2018

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apis · 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 · Strong signals: profit · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, crypto, cryptocurrency · Missing: web3, make money, real time

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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