Writing a thesis in 24h (The Pyramid Principle)

Hacker News

I recently read this encouraging post: https://news.ycombinator.com/item?id=19784907 and thought I want to have a go at making a personal website. I'd like to start with sharing the most useful book that I have read so far and to show off a bit in the process. Other reviews of the pyramid principle: https://news.ycombinator.com/item?id=19784907 https://news.ycombinator.com/item?id=24939776 https://news.ycombinator.com/item?id=23664019 https://news.ycombinator.com/item?id=26286217

Visit product View on Hacker NewsNov 21, 2023

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Hacker NewsStrong engagement from HN community · 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.

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

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

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

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

17%17% 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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