ByteThirst
Estimate water, energy, and carbon usage of every AI prompt
I built ByteThirst because I wanted to answer a simple question: what does it actually cost the planet when I send a prompt to an LLM?
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Launch Intel predictions
Analyze your own launch →52%52% 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.
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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