A Bitcoin Christmas

Hacker News

A Bitcoin Christmas

Link: www.SpreadtheCoin.com A few weeks ago I wanted to give my parents and brother, (who had all heard about bitcoin on the news) their first ever Bitcoin as a gift for Christmas and educate them along the way. Amid the recent China crash there has been a lot of negativity in the Bitcoin community and the news... My buds and soon-to-be-teammates thought that what I was wanting to do for my family was just what the Bitcoin community needed. So we put together a certificate, graphic designs, and cards to make the "Spread the Coin Bitcoin Christmas package". The idea being that if we all spread a little Bitcoin cheer this holiday season and share any amount you wish with our friends and family that together we can grow and enrich the Bitcoin community. You can find us at www.SpreadtheCoin.com Feel free to give us any feedback on the idea, designs, or the website. We are wanting to make this Bitcoin marketing project crowd-sourced very soon!

Visit product View on Hacker NewsDec 21, 2013

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

71%71% 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 · Strong signals: soon · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% 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: way · 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: new · Missing: mac, agents, macos

30%30% 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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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