BIGKit
Rapid Application/Low code Development platform
As a seasoned Developer, I was generally frustrated with the experience that every application of non-trivial nature requires all levels to be code, even layers that do not make sense. Code often brings complexity.
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Launch Intel predictions
Analyze your own launch →54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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