Technology · Firebase
Firebase backends
for fast movers.
Auth, realtime data and hosting assembled into production apps, ideal for MVPs, mobile companions and realtime products.
email, social & phone built in
realtime-synced database
serverless backend logic
generous enough to start
Why Firebase
Skip the backend
plumbing, ship the product.
Most early-stage apps need the same five things: login, database, storage, notifications, hosting. Firebase provides all five managed, letting two-week-old products behave like year-two products. Knowing when it will outgrow itself is part of our job.
- Minutes-to-auth signup flows
- Realtime UI updates
- Push notifications
- Rules-based security
- Offline persistence
- Usage-based pricing
What we build
Six ways we build
with Firebase.
Each engagement shaped around your goals rather than a fixed package.
MVP backends
Complete app infrastructure stood up in days, not months.
MVPsAuth implementations
Social, email and phone login with secure rules enforced client-side.
AuthRealtime features
Chats, live dashboards and collaboration via Firestore listeners.
RealtimeMobile companions
Flutter apps paired with Firebase data, push and analytics.
MobileFunctions & triggers
Server-side logic reacting to data events, billed per use.
ServerlessRules audits
Over-permissive security rules found and tightened.
SecurityReality checks
Great until
queries get relational.
Firestore loves document-shaped access and hates ad-hoc joins. We model collections around screens, pre-aggregate where lists need sums, and flag early when requirements drift toward territory SQL handles better. Migration paths stay documented from day one.
The ecosystem
A platform that
travels with the app.
SDKs reach every platform we build on, which keeps Firebase coherent across web and Flutter clients.
Our process
Screens first,
collections second.
Firebase rewards designing the UI and deriving the data layer, almost backwards on purpose.
Screen inventory
Views listed with their exact data and update needs.
Step 01Collection design
Documents shaped per screen, rules drafted alongside.
Step 02Build on emulators
Fast iteration locally, costs zero while iterating.
Step 03Ship & observe
Production rollout with budgets, alerts and Crashlytics live.
Step 04Cost & safety
Rules reviewed,
spends capped.
Firebase horror stories are almost always open rules or runaway functions, both preventable.
Least-privilege rules
Default deny, exceptions justified.
Budget alarms
Function storms detected within minutes.
Exit documentation
Export paths recorded in case of growth beyond fit.
FAQ
Common questions.
Is Firebase good beyond MVP stage?
Many products ride it long-term. Heavy relational reporting is where exits usually begin, planned early when likely.
Vendor lock-in, how bad?
Auth and functions port awkwardly; Firestore exports exist. We document extraction paths regardless.
Can it handle my web + Flutter app?
That combination is its sweet spot, shared data, auth and push across both.
What does it cost realistically?
Free tier covers prototypes; production bills track usage. Budget alerts come standard with our work.
Are security rules enough protection?
They are the actual firewall, and they deserve tests. We treat them like production code.
Can Firebase replace my whole backend?
For CRUD-centric products, largely yes. Complex domain logic eventually wants Functions or a real service.
