Py
Python Module Update Checker (WebApp)
Hacker NewsPython Module Update Checker (WebApp)
Hi, I have created small Python module update checker on my site as a learning exercise (gevent / threading ), which i think is good enough to be released in wild! Just copy output of "pip freeze" and hit submit it should show if you are using latest version of python module available. You can give it a try at, https://ninadmhatre.com/apps/py_upd_checker Feedback is welcome :) Note: I didn't realize that links in text are plain text! Sorry for that...
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Did not reach leaderboard
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TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: apps, using, plain · Missing: mac, agents, macos30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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