Cr

Crypto Poem

Hacker News

Crypto Poem

Two chains diverged in a green-backed world And sorry I could not spend on both And be one miner long I stood And looked down one as far as its value rose To where it died in obscurity Then spent on the other, as just as fair And having perhaps the better coin Because it is holding which I fear Though as for the securities rising bear Had made both really about the same And both that evening equally fell Which leaves no contract to roll back Oh, I sold one for a gold Yet knowing how leverages roll I doubt if I should ever be bold I shall be liquidating this with a cry Somewhere down the Merkel tree Two chains diverged in a green-backed world And that has made all the difference

Visit product View on Hacker NewsJan 25, 2018

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

75%75% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

50%50% 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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

24%24% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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