THAVAGEby F3
Modern Agency Benchmarking

See How Thavage Benchmarks Modern Agencies

Modern-agency pricing is no longer a separate public mode. It now shows up inside both core estimate paths so users can compare the real middle ground without picking a third job-to-be-done.

Updated March 12, 2026
DIY Path
Lowest cost
One capable operator with AI tools
Modern Agency
Midpoint benchmark
Senior delivery with accountability and launch hardening
Traditional Team
Planning ceiling
Pre-AI style staffing and coordination overhead

What this mode measures

Thavage benchmarks what an AI-native product partner would likely charge to scope, design, build, launch, and stabilize the project you described. It is not a signed quote. It is a defensible planning range.

That benchmark now rides inside both public estimate flows. If you already built something, you can compare your actual AI-assisted spend against both traditional and modern-agency delivery. If you are planning a build, you can compare DIY, modern-agency, and traditional paths in one pass.

Why it matters

  • Founders often compare DIY economics directly against traditional agency quotes, which hides the real middle ground
  • A modern AI-native agency should be leaner than a traditional delivery model without pretending the work is DIY-cheap
  • The result gives you a benchmark before you enter a discovery process or react to a six-figure quote

What widens the range

  • Compressed launch timelines and multiple stakeholder groups
  • Higher polish expectations, premium design, or more revision cycles
  • Compliance, migrations, security review, or integration ambiguity

Rate logic, floors, and overhead

The benchmark is deterministic. It maps scoped work into a compact senior team, applies role-specific hourly rates, adds delivery overhead, and enforces minimum quote floors so the result does not pretend a real partner-build is free.

Small-project floor
$12,000
MVP floor
$22,000
Complex floor
$40,000
Product Lead / Strategist
$165/hr
Senior Product Designer
$145/hr
Senior Full-Stack / AI Engineer
$175/hr
Data / ML Engineer
$185/hr
DevOps / Security
$160/hr
QA / Release
$110/hr
Copy / Content
$110/hr
  • Discovery and scoping adds roughly 20-40 product-lead hours depending on scope tier.
  • Launch hardening and release coordination adds roughly 12-24 senior-engineer hours.
  • Stakeholder communication and PM overhead adds roughly 8-22 product-lead hours.
  • Stabilization or first-month support adds roughly 10-32 senior-engineer hours depending on support expectations.

Default exclusions

  • Growth marketing, media spend, and demand generation are outside the partner-build benchmark
  • Long-term retained support is excluded unless the support expectation is explicitly widened
  • Procurement-heavy discovery, enterprise change management, and large security-review programs are not baked into the midpoint by default

How to use the result

  • Use DIY year one to understand the cheapest plausible AI-assisted path
  • Use the built-in modern-agency benchmark to pressure-test what a capable outside team might quote
  • Use the traditional benchmark as the ceiling that shows what pre-AI delivery drag looks like

Trust the methodology

Run the benchmark

If you already know you may hire outside help, you do not need a separate mode anymore. Run either core estimate and the modern-agency benchmark is included in the result.

Next Step
Run your own scoped benchmark

Use the live estimator once you have enough detail to name the features, integrations, and constraints. Then compare your result with the example reports on this page.

Run Thavage