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TopOfTheCoins.com – the “MillionDollarHomepage” of the crypto-era

Hacker News

TopOfTheCoins.com – the “MillionDollarHomepage” of the crypto-era

Hey, For those that haven't heard of it before, in 2005 a website was launched called http://www.milliondollarhomepage.com/ . The site took the internet by storm, became pretty iconic, and genuinely did raise > $1,000,000. As part of my goal for 2018 to learn more about crypto, this Jan I launched a side project: https://www.topofthecoins.com/ You can post a message simply with an Ether transfer. The message that has the most Ether is the one that remains featured at the top of the site. It's amazing exposure for anyone posting a message, as we currently have thousands of tech and crypto enthusiasts visiting the site. As of writing, the top message was posted for 0.00126ETH (<$2), which means if you post a message with any more than that, then your message will be featured at the top of the site (until someone else posts a message with more Ether)... It's a bit of fun to learn about crypto stuff, but it's actually starting to take off, which is quite exciting. I don't expect it to match the success of Million Dollar Homepage, but I'll sure try... Be good to hear everyone's thoughts. Thanks, Joe

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
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best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released
65%65% 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
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
36%36% 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
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: crypto · Missing: web3, chat, cryptocurrency
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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