I

I tweeted to elonmusk on community power laws and got banned

Hacker News

I tweeted to elonmusk on community power laws and got banned

I really didn’t want to go through with putting the effort to even attempt at tweeting at Elon as I didn’t think he’d see it. Well, he definitely won’t see it because I ended up doing it and Twitter banned my account for posting this tweet which was in reference to a comment made here the other day. That’s pretty suspicious given it was about their fake accounts. https://cdn.discordapp.com/attachments/931832635758641158/976136613044322394/IMG_3361.png Hopefully that link works? If not here is the link from HN: https://news.ycombinator.com/item?id=31376963 Messed up.

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Actual performance

5points
4comments
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
69%69% 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
51%51% 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
46%46% 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
38%38% 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
17%17% 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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