01 Before production
Usage prediction
Estimate serverless function pressure, data transfer, image paths, and hot flows before a preview becomes the public launch.
Vercel usage prediction for launch teams
Predict your Vercel Bill Now!
Capacity Lab turns preview behavior, traffic assumptions, and third-party dependencies into a launch report: expected usage, bottleneck risk, and what to stub before testing.
Capacity Lab report Vercel Bill Forecast
Product Usage
Fast Data Transfer 88 GB / 100 GB ok
Fast Origin Transfer 12.8 GB / 10 GB over
Edge Requests 1.3M / 1M over
Function Invocations 740K / 1M ok
Monthly usage model
Pull the slider and watch Vercel resources move.
Pick a common app template, change monthly users, and see which Vercel resources stay safe or cross plan limits.
Monthly users 25K
Product Usage
Preview start from Vercel deployments and agreed traffic paths
Usage forecast functions, transfer, caching, and hot routes
Stubs separate app capacity from Stripe, OpenAI, auth, and CRM limits
Model
A launch forecast that speaks Vercel.
02 Safe testing
Integration isolation
Identify paid or fragile dependencies and replace them with stubs so the load test measures your app, not every vendor behind it.
03 Evidence
Launch report
One report for founders and engineers: expected usage, bottleneck evidence, plan risk, and the fix list before launch day.
04 After launch
Release gate
Turn the forecast into a repeatable check for future Vercel previews, campaigns, pricing changes, and AI feature releases.
Positioning
Built for apps where logic is thin and integrations are heavy.
Many AI-built SaaS products are a dense mix of auth, payments, LLM calls, email, storage, analytics, and CRM glue. Capacity Lab maps that surface, stubs the parts that should not be load tested, and predicts the Vercel usage envelope the product owner actually needs to understand.
Preview deploymentsServerless functionsThird-party stubsUsage reports
Process
From preview URL to launch decision.
Connect
Share the Vercel project, preview deployment, traffic expectations, and critical user flows.
Isolate
Mark real integrations, decide what must be stubbed, and keep paid vendors out of the test blast radius.
Forecast
Receive the report: expected usage, bottlenecks, plan headroom, and the concrete launch checklist.
Cal.com
Bring one Vercel app.
In the first call we turn a preview or production URL into the first usage model, then decide which integrations must be stubbed before any load test.
30-minute call
Book a usage forecast call.
Bring the app URL, expected launch traffic, and the list of vendors behind the product.