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A CRUD Endpoints Generator and Flexible Cookiecutter for Django

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A CRUD Endpoints Generator and Flexible Cookiecutter for Django

We worked on this tool that helps us generate crud endpoints for the models we define as well as start our project with things like auth, auto-generated docs, pre-commit hooks, and docker already set up. Check it out: https://dev.to/nyior/dr-cli-a-flexible-cookie-cutter-and-crud-endpoints-generator-for-django-2nlb We'd like to hear your thoughts on this xD

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
67%67% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, dock, models · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

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