Your cloud bill shouldn't scale
faster than your revenue.
Vercel, Heroku, and Firebase got you to launch. Now usage-based pricing is compounding. We assess what your stack costs today, show you what it would cost elsewhere, and migrate you to infrastructure you own for a fixed fee.
Eleven questions, no signup. The operations work is priced in and subtracted.
Plan your exit before you need one
Every platform starts cheap. The bill comes when your product works.
The Vercel inflection point
A solo dev pays $20/mo. At 100k monthly users, that climbs to ~$400/mo on Vercel. The same workload self-hosted runs about $80/mo. Fast Data Transfer at $0.15/GB and edge requests at $2/M account for most of the difference.
Firebase at scale
Firestore charges per document read and write. A “live” dashboard with listeners, plus an AI feature reading the same data, causes read amplification that turns a $50/mo bill into thousands overnight. One team saw $70,000 in a single day.
Heroku in maintenance mode
Salesforce moved Heroku to sustaining engineering in early 2026. Same 30-second timeout, same two regions since 2011. You’re still paying $25/dyno/mo. No new features or Enterprise contracts are coming.
Monthly cost for a 10M req/mo API on Vercel Pro vs a comparable VPS. Per-seat pricing and Fast Data Transfer ($0.15/GB) are most of the gap.
Vercel, Heroku, Firebase, AWS, GCP, Azure, Netlify, Render, Railway, Fly.io, DigitalOcean, Cloudflare. We assess all of them.
What teams actually pay
Published 2026 pricing from Vercel and Heroku, compared against Cloudflare Workers + Neon or Hetzner + Docker + Neon.
5-person funded startup
Seed-stage SaaS, Next.js + API routes, 50k MAU, 500GB/mo transfer, preview deploys on every PR.
Scaling SaaS (the sweat zone)
Series A, 10 engineers, 200k MAU, 2TB/mo transfer, image-heavy product with ISR + edge middleware.
High-traffic content site
1.5M monthly visitors, 10TB/mo transfer, marketing site + storefront, 6 engineers. Vercel starts calling about Enterprise.
Bootstrapped API business
2 founders, REST API at 10M requests/mo, worker dyno for background jobs, Postgres + Redis.
Production SaaS (the step function)
8-person team, B2B SaaS. Traffic outgrew Standard dynos, so they jumped to Performance-M: 5x the price for 2.5x the compute.
Split stack (Vercel + Heroku)
Common pattern: Next.js frontend on Vercel, API + jobs on Heroku. Two bills, two dashboards, 6 engineers.
The alternative in each case: an engineer spends 2-4 weeks on the migration. At loaded cost that's $10k-30k in payroll, plus the risk of getting it wrong. A fixed fee starting at $3,000 is cheaper than DIY before you count the monthly savings.
Itemized cost breakdowns: leaving Vercel · Heroku · Render · Railway · DigitalOcean · Firebase
How it works
We never get write access to your current provider. The one credential that writes is a GitHub token, scoped to the repo that holds your Terraform.
Connect read-only
Create a read-only token for Vercel, Heroku, Netlify, Render, Railway, Fly.io, DigitalOcean, or Cloudflare. Or connect an AWS/GCP/Azure service account. Credentials are encrypted at rest, and the provider credential is never used to change anything.
Assessment report
We inventory your projects, services, databases, functions, domains, and storage. You get a migration plan with cost projections at three prices (list, year-1 after credits, steady state), a ranked recommendation, and risk notes.
Fixed-fee migration
We build the target environment in parallel. Your current stack keeps serving and we never write to it. You get Terraform in a new GitHub repo, with state in Terraform Cloud.
Keep the platform
After cutover the dashboard keeps working: your inventory, cost tracking, and assessments you can re-run as the stack changes. You own the repo and state either way.
Everything is infrastructure as code
Every resource is Terraform, committed to your repo and planned through Terraform Cloud, with the apply gated behind your review. You own the repo and state. Fire us anytime and keep everything.
Standards you can read
Module layout, naming, tagging, remote state and review gates are written down, and the code we hand over follows them. The ruleset is published in the dashboard so you can hold us to it.
Nothing to unpick later
No console-clicked resources, no half-managed stack. Everything we build exists as code from the first apply, so the repo is the whole picture.
Pricing
Assessment is free. Migration is a fixed fee quoted in the report: the price you see is the price you pay.
Assessment
Read-only inventory + migration report
Migration
Quoted from your assessment, before you commit
Platform
Keep the dashboard after migration
The assessment is free. The report is yours to keep.
Sign in, connect a read-only token, and the report comes back with what your stack costs today, where it could run instead, and a fixed fee to move it. No card, no sales call.
Sign in with Google or GitHub. Same button whether you are new or coming back.