Tonic Fabricate’s Data Agent makes generating realistic synthetic data as simple as asking for it. Chat with the Data Agent to build and iterate on your ideal dataset, whether it’s a relational database, PDFs, docx files, or a myriad of other unstructured data types. With the Data Agent’s scalable, synthetic data, developers and AI engineers are free to innovate, unblocking product development, optimizing model training, and turbocharging time-to-market.
Hey Product Hunt! Mark here — I’m the creator of Fabricate and Head of Engineering for Fabricate at Tonic.ai. Super excited to finally share something we’ve been building quietly for months: the Fabricate Data Agent.
If you’ve ever struggled to get realistic data for development, testing, prototyping, or AI model training… you know how painful it is. Fake data generators fall short, production data is off-limits, and writing scripts to simulate anything realistic takes forever.
So we built an AI agent that generates synthetic data for you — just by asking.
With the Data Agent, you can literally chat your way to whatever dataset you need. Medical claims? Network telemetry? Emails? PDFs? Fully relational databases with foreign keys intact? You name it.
How it works:
Describe the dataset you need in plain language
The Agent builds a high-fidelity synthetic version in minutes
You iterate conversationally
Export instantly as SQL, JSON, PDF, DOCX, EML, CSV — whatever your workflow requires
No setup. No scripts. No wrestling with tools. Just data.
This dramatically changes how developers and AI engineers prototype, test, and experiment. You can go from idea → usable dataset faster than ever before, without touching production data or waiting on anyone.
We’re launching today, and I’d love for the PH community to try it and tell us what to build next.
This has been one of the most fun and challenging projects I’ve ever worked on, and I can’t wait to see what kinds of datasets you all generate. Drop your wildest ideas in the comments — happy to spin some of them up live during the webinar.
@mark_brocato This is very cool! Is there any limit to the amount of data it can generate? For instance if I want to build a database with 100 tables and over 1 million records.
Innovation is no longer blocked by a lack of access to quality data. Let Fabricate synthesize, so you can let the builders build.
The Fabricate Data Agent truly is a game changer, and I'm honored to work alongside Mark Brocato, Ivan Erceg, and everyone at Tonic.ai as we launch it to the world.
And in the meantime, create your own account, and let us know what you think here in the comments!
About Tonic Fabricate Data Agent on Product Hunt
“The AI agent for synthetic data generation”
Tonic Fabricate Data Agent launched on Product Hunt on November 19th, 2025 and earned 94 upvotes and 9 comments, placing #24 on the daily leaderboard. Tonic Fabricate’s Data Agent makes generating realistic synthetic data as simple as asking for it. Chat with the Data Agent to build and iterate on your ideal dataset, whether it’s a relational database, PDFs, docx files, or a myriad of other unstructured data types. With the Data Agent’s scalable, synthetic data, developers and AI engineers are free to innovate, unblocking product development, optimizing model training, and turbocharging time-to-market.
Tonic Fabricate Data Agent was featured in Software Engineering (42.3k followers), Developer Tools (511.1k followers) and Artificial Intelligence (466.4k followers) on Product Hunt. Together, these topics include over 159.4k products, making this a competitive space to launch in.
Who hunted Tonic Fabricate Data Agent?
Tonic Fabricate Data Agent was hunted by Kevin William David. 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.
Want to see how Tonic Fabricate Data Agent stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kevin William David
Hey Product Hunt! Mark here — I’m the creator of Fabricate and Head of Engineering for Fabricate at Tonic.ai. Super excited to finally share something we’ve been building quietly for months: the Fabricate Data Agent.
If you’ve ever struggled to get realistic data for development, testing, prototyping, or AI model training… you know how painful it is. Fake data generators fall short, production data is off-limits, and writing scripts to simulate anything realistic takes forever.
So we built an AI agent that generates synthetic data for you — just by asking.
With the Data Agent, you can literally chat your way to whatever dataset you need. Medical claims? Network telemetry? Emails? PDFs? Fully relational databases with foreign keys intact? You name it.
How it works:
Describe the dataset you need in plain language
The Agent builds a high-fidelity synthetic version in minutes
You iterate conversationally
Export instantly as SQL, JSON, PDF, DOCX, EML, CSV — whatever your workflow requires
No setup. No scripts. No wrestling with tools. Just data.
This dramatically changes how developers and AI engineers prototype, test, and experiment. You can go from idea → usable dataset faster than ever before, without touching production data or waiting on anyone.
We’re launching today, and I’d love for the PH community to try it and tell us what to build next.
👉 Try the Fabricate Data Agent: https://www.tonic.ai/fabricate
👉 Join the launch webinar on Nov 19: I’ll be doing a live demo and generating datasets with the Data Agent in real time. Sign up here to see me in action.
This has been one of the most fun and challenging projects I’ve ever worked on, and I can’t wait to see what kinds of datasets you all generate. Drop your wildest ideas in the comments — happy to spin some of them up live during the webinar.