Django Keel – 10 Years of Django Best Practices in One Template

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After a decade of shipping Django to production, I got tired of solving the same setup problems on every new project. Environment-first settings. Sensible auth defaults. Structured logging. CI from day zero. Pre-commit hooks. Docker. Security hardening. Every project meant two days of boilerplate before writing business logic. So I built Django Keel: a production-ready Django starter that eliminates the yak-shaving. GitHub: https://github.com/CuriousLearner/django-keel *What you get*: - 12-factor config with environment-based secrets - Production-hardened security defaults - Pre-wired linting, formatting, testing, pre-commit hooks - CI workflow ready to go - Clear project structure that scales - Documentation with real trade-offs explained *Background*: I maintained a popular cookiecutter template for years. Django Keel is what that should've been from the start—battle-tested patterns without the accumulated cruft. *Who it's for*: Teams and solo builders shipping Django to production who want a strong baseline without tech debt. Feedback welcome on what works, what doesn't, and what's missing. Issues and PRs appreciated.

Visit product View on Hacker NewsOct 21, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, 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: dock, new, plain · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, 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

45%45% 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 · Strong signals: builder · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%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, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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