Tw

Two HN tabs I found together, that concern me

Hacker News

Two HN tabs I found together, that concern me

I was reading Chappe and Chaudhary's essay The Supermanagerial Class, by way of a comment (2) and kept getting confused about which article I was reading, because the next tab over was Tetzeli's A Short History Of The Most Important Economic Theory In Tech (3). It's a little disturbing when you're reading about Nazi Germany and realizing the economic model there sounds a lot like the top post on Hacker News about an economic model for Silicon Valley. (1) https://lareviewofbooks.org/article/the-supermanagerial-reich/ (2) https://news.ycombinator.com/item?id=12948142 (3) https://www.fastcompany.com/3064681/most-creative-people/most-important-economic-theory-in-technology-brian-arthur

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% 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.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news · Missing: https docs, excited, just released
61%61% 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
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: model, new · Missing: mac, agents, macos
38%38% 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
25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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16%16% 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.

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