Django Python Backend Stack
Python backend for teams that want admin panel, ORM, migrations, and auth out of the box. Django's batteries-included approach means you're shipping product instead of assembling a framework from twelve separate packages.
Public stack
This is the mobile stack I'd use for a consumer app that needs sign-in, subscriptions, analytics, and crash reporting before a real launch push.
Workflow stack
Sign-in system
Handles sign-in flows, OAuth, and token management with mobile-friendly SDKs that are already familiar to many app teams.
Open tool profileApp backend
Realtime data sync, push-friendly backend primitives, and generous early-stage economics make it good for consumer launches.
Open tool profileSubscriptions
Unifies App Store and Play billing logic so subscriptions stop being a custom backend problem.
Open tool profileGrowth analytics
Gives product teams real funnels, cohorts, and retention signals from the first wave of users.
Open tool profileCrash reporting
Crash reports and performance traces tell you what breaks on real devices, not just the simulator.
Open tool profileSpark (no-cost) generous quotas (e.g. Firestore ~20k writes/day, ~50k reads/day, 1 GiB stored, 10 GiB egress/mo); Blaze pay-as-you-go with $300 GCP credit promos when eligible—App Hosting bandwidth 10 GiB/mo free then ~$0.20/GiB uncached (firebase.google.com/pricing).
In-app subscription infrastructure: Pro is free while monthly tracked revenue (MTR) stays under $2,500; at $2.5k+ MTR, 1% of MTR (e.g., $25 at exactly $2.5k)—Enterprise custom.
Open-core analytics, replay, flags, experiments, error tracking, warehouse, pipelines, and logs on PostHog Cloud—generous per-product free tiers each month, then usage-based rates (e.g. ~$0.00005/event for analytics after the first 1M events).
Error monitoring, performance tracing, logs, session replay, profiling, and uptime products for developers—SDKs across major languages and frameworks with issue workflow at the center.
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