Automation and integrations decision

Sami Software Solutions

A single capable developer can implement a useful replacement (photo upload, vision+LLM pipeline, UI/extension, and simple quota logic) in about a week and maintain it; nothing on the site indicates an irreplicable moat.

Visit website
You pay

$3.99/mo

$48/yr

Read off the official pricing page.

You’d pay instead

$100one-off38 h to build

$5/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 4 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

  • Upload photos, identify and group photos into items, generate editable title/description/hashtags from images using vision+LLM, review and export/copy drafts for publishing

What it still won’t have

  • Polish and UX of the official Chrome extension
  • Official integrations/compatibility testing with Vinted and eBay
  • Priority processing, dedicated support and custom limits
  • One-click mobile sync and in-app mobile upload features

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 4 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 lightweight AutoLister-style web app and Chrome extension using React (CRA or Vite) for frontend, Node.js + Express for backend, Postgres for accounts/quotas, S3-compatible storage for photos, and OpenAI (or similar) vision + text APIs for image understanding and generation. Core features in scope: user signup/login, photo upload with client-side batching, UI to group photos into items, server pipeline to call a vision API to extract visible attributes, call an LLM to produce title/description/hashtags using the extracted attributes and a reusable seller note, a browser extension that inserts or copies generated drafts into marketplace form fields, and a simple credits/quota system enforcing monthly limits. Out of scope: deep native mobile apps, enterprise billing integrations, official Vinted/eBay certified integrations, and advanced image editing. Include error handling, input validation, retry logic for API calls, unit tests for backend business logic, and end-to-end tests for the main user flows.
How we checked2 sources · 2/3 runs agreed · evidence score 82

How the score was reached

  • Build verdict base78
  • 2 cited sources+1
  • Price verified on pricing page+3
  • Evidence score82

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 · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded