Prompt Rulebook πŸ“•

Prompt Rulebook πŸ“•

Indie Hackers

PDF with 50+ copyable rules you can paste into your prompts.

Ever felt like you're talking to a wall when using ChatGPT or Claude? Yeah, me too. That why I created a simple PDF packed with 50+ copy-paste rules to help you get exactly what you want from AI.

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Actual performance

1followers
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch β†’
Indie HackersFits the IH revenue-focused audience Β· Strong signals: created Β· Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard Β· Strong signals: claude, chatgpt, using Β· Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR Β· Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal Β· Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience Β· Missing: https docs, excited, just released
25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience Β· Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers Β· Strong signals: chat Β· Missing: web3, crypto, cryptocurrency
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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