En
Engineering critical software services with Python
Engineering critical software services with Python
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
10%10% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Py
Python for Tor Onion Services45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Python for Tor Onion Services
Airtech Incorporated26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Engineering Services
So
Software Engineering 10148%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Software Engineering 101
Predata60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data Engineering as a Services
Edanbrook21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Why PE Stamping is Critical for Engineering Projects in USA
Pentestr75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find your app's critical vulnerabilities before attackers do
Ge
GeoEQ, a Python package for civil/geotechnical engineering54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GeoEQ, a Python package for civil/geotechnical engineering
Ag
Agent-Oriented Software Engineering43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Agent-Oriented Software Engineering
Software Engineering Boss29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn software engineering like a boss
Cu
CustomStringParser ( Python)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CustomStringParser ( Python)