
Faire
B2B Business Builder
Referenceable
SINGULART
Connecting independent brands with cafés, hotels, and community venues where people naturally discover products.

Mockaroo
DataConstruct
Data Creator
Datamade
Random Data
Generate and manage synthetic datasets easily with DUMMY DATABASE

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | wellocated.com | dummydatabase.com |
| Pricing | ||
| Platforms | ||
| Company | Startup from Portugal · 1 - 9 employees · 2026 | Startup from Serbia · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


Wellocated is a marketplace that turns local community venues into discovery channels for brands. Artists, DTC makers, artisans, and specialty producers can place their products in cafés, restaurants, bars, hotels, fitness and wellness studios, beauty salons, galleries, and workspaces — spots...
Dummy Database is built to solve a simple, yet annoying problem — generating realistic test datasets quickly, without writing scripts or juggling Excel files. It’s designed for: - Developers needing dummy databases for prototyping & testing. - Analysts and BI specialists preparing demo...
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


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As answered by people managing Wellocated and DUMMY DATABASE.
Wellocated's answer
Wellocated connects brands with cafés, hotels, galleries, shops, wellness spaces, and other venues where their ideal customers already spend time.
Instead of relying only on digital ads or committing to traditional retail, brands can place products in relevant physical spaces for discovery, display, sales, or pop-ups. Venues can use their available space to generate additional revenue, offer something new to visitors, and support independent brands.
DUMMY DATABASE's answer:
A free, all-in-one data generation platform that builds everything from simple tables to full relational databases with advanced controls, unique event sequences, ERD visualization, built-in SQL querying, and multiple export formats — no limits, no paywalls.
Wellocated's answer
Wellocated focuses on making physical product placement accessible without the cost and commitment of opening a store.
Brands can discover relevant venues, contact them directly, propose collaborations, and manage product placements or pop-ups. Venues gain access to independent brands that fit their audience and space.
The goal is simple: help brands reach customers offline while helping venues make better use of the space and audience they already have.
DUMMY DATABASE's answer:
Unlike other data generators, DUMMY DATABASE gives you full relational database creation, unique event simulations, advanced control over every field, built-in SQL querying, and generous free limits — so you can go from idea to test-ready data without restrictions, subscriptions, or hidden fees
Wellocated's answer
Wellocated is built for independent brands, makers, artists, designers, and producers looking for new ways to reach customers offline.
On the venue side, it is designed for cafés, hotels, galleries, independent shops, restaurants, coworking spaces, wellness businesses, and other venues interested in hosting products, pop-ups, or brand collaborations.
DUMMY DATABASE's answer:
Wellocated's answer
Wellocated started from a problem we experienced ourselves: getting a product in front of the right people in the physical world is surprisingly difficult.
Digital brands can reach customers online, but advertising is increasingly expensive and crowded. Opening a physical store, meanwhile, requires significant investment and commitment.
At the same time, thousands of cafés, hotels, galleries, shops, and other venues already have the right audiences and underused physical space.
DUMMY DATABASE's answer:
Began as a project for myself to be able to have custom datasets for testing purpose I've decided that it could be useful for wider audience and finalized it as a full-stack web project
Wellocated's answer
Wellocated is built with Next.js for the frontend, Go (Golang) for the backend, and PostgreSQL for the database.
DUMMY DATABASE's answer:
Python, Flask, HTML, CSS, Bootstrap, Redis, PostgreSQL, JavaScript
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