Design and diagrams decision

Komposo

A narrow self-hosted tool that maps prompts to a small template set and exports code is realistic for a capable developer, but reproducing Komposo's scale, template library, tuned prompts, team features and support is not practical.

Visit website
You pay

$15/mo

$180/yr

Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$200/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 14 seats.

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Prompt → AI maps prompt to a design template and component choices → render editable UI mockup in a canvas/editor → refine via prompts or UI controls → export HTML/CSS or framework code.

What it still won’t have

  • Access to Komposo's claimed large user base and brand trust
  • Priority support, onboarding and team/agency collaboration features
  • The product's likely proprietary prompt-engineering, templates and tuned model prompts
  • Commercial license, billing, and credit system for scaled usage

What remains hard

  • Brand trustTrusted by 100,000+ users
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 14 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal Komposo-like web app using Next.js + React + Tailwind CSS, a Postgres DB, and S3 for asset storage. Integrate an LLM (configurable provider API key) to accept a plain-text prompt and map it to one of ~12 HTML/CSS screen templates. Implement: (1) prompt submission + LLM call and response parsing, (2) template renderer to produce a static mockup (HTML/CSS) from the LLM output, (3) a browser-based editor to change text, swap images, pick color/theme variants and save versions, (4) an export endpoint that bundles downloadable Next.js/React code for the current mockup, (5) simple email/password auth and project persistence in Postgres. Out of scope: multi-seat billing, advanced model fine-tuning, a credit system, real-time collaborative editing, and a huge template marketplace. Include error handling for API failures, input validation, unit tests for core logic, and end-to-end tests for critical flows.
How we checked3 sources · 3/3 runs agreed · evidence score 62

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score62

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat quoted from the page