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Django Render – Build Django applications with React front ends

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Django Render – Build Django applications with React front ends

I'd like to present our new library that aims to make it as easy as possible to build and maintain React frontends for Django. Github: https://github.com/kaedroho/django-render Website and docs: https://django-render.org/ Instead of client-side routing and APIs, Django Render applications use Django’s URL routing and views. So you can build your backend like a regular Django application but render the frontend with React components instead of Django templates. We've released version 0.1 today, have a look at this discussion to see our ideas for what next: https://github.com/kaedroho/django-render/discussions/34

Visit productView on Hacker NewsJul 16, 2024
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Product HuntOn track for Day 1 leaderboard · Strong signals: new, apis · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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