Some more things about Django I've been enjoying

📝 Discussion Summary (Click to expand)

Django’s performance on low‑cost servers
“2‑3 requests per second (on a ~$10/month VM)” – echoangle
“You can run multiple OS threads (gunicorn workers) on one VM thread … you’re overpaying if you pay $10/month for a single‑threaded machine.” – echoangle
Critiques of Django’s ORM query DSL and calls for a more expressive syntax
“Instead of self.filter(end__gt=self._midnight(today)) you could write self.filter(Field.end > self._midnight(today)).” – echoangle
“The Django filter syntax with the double underscores is like fingernails on a chalkboard to me.” – BrenBarn
Comparisons with other languages (Go/Rust) and resource‑efficiency concerns
“My Go apps use very little memory… I never gonna switch.” – faangguyindia
“Switching to Rust, the LOC dropped to half of what we had in Haskell … the algorithm serves in 0.1 ms on Rust.” – faangguyindia

🚀 Project Ideas

Real‑time view profiling that surfaces slow queries, connection leaks, and low RPS bottlenecks on cheap VMs.
Automatic recommendations for async workers, query batching, and cache warm‑up to push throughput from 2‑3 RPS to 100 RPS.

Key	Value
Target Audience	Django developers running on $10‑$20/month VMs who see sub‑5 RPS performance.
Core Feature	Live query inspector with alert thresholds, async worker scheduler, and one‑click optimizations.
Tech Stack	Django + Celery + Prometheus + Grafana + Python 3.11.
Difficulty	Medium
Monetization	Revenue-ready: SaaS subscription $15/mo per hosted instance.

Directly addresses echoangle’s complaint about “crazy low” 2‑3 RPS on a $10 VM; users would love actionable diagnostics.
Potential for community plugins and integration with existing Django admin, sparking discussion on Hacker News.

Replaces Django’s double‑underscore filter syntax with a Pythonic Field DSL that overloads comparison operators.
Enables expressive queries like Field.end > self._midnight(today) without custom template tags.

Key	Value
Target Audience	Django developers frustrated by the “fingernails on a chalkboard” filter syntax.
Core Feature	Metaclass‑based `Field` class that returns query dictionaries on comparison overloads.
Tech Stack	Django (Python 3.10+), optional Jinja2 compatibility layer.
Difficulty	Low
Monetization	Hobby

Mirrors the exact suggestion discussed in echoangle’s thread; HN commenters asked for examples and would appreciate a ready‑to‑use implementation.
Low barrier to adoption; could be adopted as a community‑maintained snippet library.

Exports Django models and migrations to typed DAO code and migration scripts for Go, Rust, or Node, enabling reuse of Django admin and schema tools across stacks.
Solves the pain point of teams needing Django‑level migrations but preferring other languages for production services.

Key	Value
Target Audience	Multi‑language teams (e.g., Go + Django admin) that need consistent schema migrations.
Core Feature	Model introspection → generation of Go `gorm` structs, Rust `sqlx` models, and migration SQL files.
Tech Stack	Python backend, Go/Rust code generators, SQLite/Postgres schema dump.
Difficulty	Medium
Monetization	Revenue-ready: One‑time $49 license per project.

Directly responds to ranedk’s comment about using Django just for migrations and admin across other stacks; users would value a generator to avoid duplication.
Adds utility for teams transitioning from Django to Rust/Go, fitting the “project turned out to be successful” narrative.