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SelfPubKit – write, publish, monetize books on your own

Hacker News

SelfPubKit – write, publish, monetize books on your own

Hi HN, I made a tool for self-publishing authors called SelfPubKit.com. The all-in-one editor allows you to write chapters, export them to epub, pdf. You can also publish product as a standalone website with direct payments set up with your Stripe account which means you get 100% of payments minus Stripe’s fee. The idea came about when I wanted to write a short guide myself. Anyhow, let me know what you think. I’ll share tech details in the comment below.

Visit product View on Hacker NewsNov 23, 2023

Actual performance

13points

9comments

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Launch Intel predictions

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

62%62% 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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: stripe · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

22%22% 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

15%15% 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.

Correct prediction on native model

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