Images don't belong in folders.

Consequat is an image-based organizer and discovery engine designed for people who think visually.

Collect images into boards, let Consequat automatically tag them, and discover more through visual similarity, color, and intentional recommendations without the invasive tracking.

Take a look at the discover page.
We do not force the creation of an account to browse or use the features unless it is for personalization (recommendation engine) or it is computationally expensive.

We store 238.64 MB (250230454 bytes) across 361 files with 3 users.

Warning

This service is in pre-alpha. Expect some rough edges. This is a playground, not a vault (yet)

Frequently Asked Questions

Is this free?

Yes, until it launches.

Why won't this stay free?

Image hosting and delivery is expensive. Paid plans will help keep the service sustainable.

What data do you collect?

  • Your E-mail address: needed as an identifier and to communicate with you in regards to account status and login links
  • Your images: Necessary to perform the service (the discovery, indexing, and searching)

With whom do you share my data?

  • Contabo GmbH: This website and dashboard
  • Bunnyway d.o.o.: Serving images
  • Deep Infra: Image tagging (they do not store data beyond the tagging process)

Cookies?

We set one that is strictly necessary to keep you logged in if you have an account, but that's it.

How does recommendations work?

The discovery page uses Gorse when you are signed in, which is an open-source recommender system engine written in the Go programming language. Unlike most engines that rely on tracking dwell time or what you save, it's only influenced by the explicit actions clicking the "More" or "Less" buttons

How does searching work?

It uses a combination of keyword search and color similarity filtering in perceptual color space (CIELAB). Gorse is not queried during searching as that would create skewed results.

Are there ads?

No. You do not pay for ads.

Architecture

You are a user. Users have image boards, image boards have photos, and photos have tags.