Py
Python visualisation of the stepping stone algorithm
Python visualisation of the stepping stone algorithm
It's a cool little program in python/pygame that illustrates the stepping-stone-algorithm for cost minimisation to solve the Transport and Allocation Problem. I did it for a class to save time and so that I don't have to calculate everything by hand
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Analyze your own launch →73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
20%20% 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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