What’s analyzed
Performance
Web Vitals (LCP, INP, CLS) and JavaScript bundle size. Measures what the user feels when opening your app.
Coupling
Architecture and code structure analysis. Identifies points where growth will amplify technical debt.
Data
How data flows and where it lives. Evaluates whether your data layer survives the target without refactoring.
Capacity ceiling
The headline output of this stage is the capacity ceiling: a user count above which your app starts to feel real pressure, computed from the limits of the APIs and services your app consumes.The ceiling isn’t where your app breaks — it’s where you start to feel it. That’s why we apply a 10% safety margin on top of the tightest limit across all detected APIs.
Third-party APIs
Almost every modern app depends on external APIs (auth, email, AI, managed databases). Each has limits that vary by plan tier — and those limits surface on the bill at the worst possible moment. The Scalability analysis automatically detects the APIs your app uses, asks which tier you contracted on each, and projects consumption against your target. For each API, you see:- Status now — where you are today (green, yellow, red).
- Status at target — where you’ll be at the 6-month target.
- Projected usage — absolute number vs. the contracted limit.
The full flow
The analysis is split into four steps. The two middle ones are interactive wizards — the report only finalizes after you confirm the data.Check
You enter how many users you have today and the 6-month target. VibeScale runs the technical analysis in ~1 minute.
Plan Review
The analyzer shows every API it detected and asks you to confirm the tier. APIs it missed, you add.
Next steps
Start an analysis
How to kick off the analysis and what to expect during the run.
Plan Review
The wizard that confirms the real tier of each API you use.
Tune Assumptions
How to refine consumption estimates per user.
Reading the report
Subscores, capacity ceiling, bottleneck, and the Actions tab.
Methodology
How the ceiling is computed, what the safety margin is, and why only one bottleneck matters.
