TPF Analyzer
An open source platform to analyze and understand TPF source
Applications written on TPF have been updated for more than 50+ years and the functional knowledge about these applications is not available. This open source tool aims to help TPF user to understand and modernize them.
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Launch Intel predictions
Analyze your own launch →72%72% 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.
63%63% predicted probability of success on Hacker News, 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.
nativeThis product was originally launched on this platform.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
11%11% 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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