This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Fake Database
Free fake data generator — 120+ fields, 7 export formats
Generate realistic fake data for testing and development. 120+ fields, 15 templates, CSV/Excel/JSON/SQL/XML/YAML export. Free, no signup, runs in your browser.
Every developer needs realistic test data at some point. But the options are limited: Mockaroo charges $49/month for features like SQL export and Excel, Faker.js requires a backend, and random generators create isolated fields with no correlations between them.
Fake Database is a free, browser-based tool that solves this. It generates realistic fake data with 120+ fields across 19 categories, 15 pre-built templates, and 7 export formats.
What makes it different:
• Cross-field correlations — gender determines name, age determines salary, car brand determines model. Data is internally consistent, not random.
• 7 export formats — CSV, Excel (.xlsx), JSON, SQL (CREATE TABLE + INSERT), XML, YAML, and interactive table view. Most competitors charge $49/month for SQL + Excel.
• Custom columns — add unlimited fields with SQL-like types (INT, VARCHAR, DATE, UUID, etc.)
• Null & error injection — configurable rates for edge-case testing
• US + Brazilian data — locale-aware formatting for CPF/CNPJ, SSN/EIN, addresses, phones, dates
• 100% client-side — no server, no signup, no data sent anywhere
Built with React, TypeScript, and Vite. Open source.
About Fake Database on Product Hunt
“Free fake data generator — 120+ fields, 7 export formats”
Fake Database was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #123 on the daily leaderboard. Generate realistic fake data for testing and development. 120+ fields, 15 templates, CSV/Excel/JSON/SQL/XML/YAML export. Free, no signup, runs in your browser.
On the analytics side, Fake Database competes within Productivity, Open Source, Developer Tools and GitHub — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Fake Database performed against the three products that launched closest to it on the same day.
Who hunted Fake Database?
Fake Database was hunted by Bruno Bonetto. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Fake Database including community comment highlights and product details, visit the product overview.
Bruno Bonetto