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Key GPT-3 insights that helped me build a product with 100k users
Key GPT-3 insights that helped me build a product with 100k users
I wrote all about the best prompting practices that leverage GPT-3's ability to follow directions, especially in the broader context of building apps on top of LLMs. Check it out!
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Launch Intel predictions
Analyze your own launch →89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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