Open-source AI data generator (now hosted)
Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…
Open-source AI data generator (now hosted) launched on September 23, 2025 with 39 votes, #466 of 8,160 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
This AI data generator creates synthetic datasets using language models. It's available both as a hosted service for immediate use and as open-source code for self-hosting or customization. The tool supports multiple LLM providers through LiteLLM integration. It's designed for developers and data professionals who need to generate test data without managing their own infrastructure, or who prefer to run it themselves.
written from the facts on this page · September 2026
From the sources
Use the open source AI Data Generator to create realistic synthetic datasets for any purpose, from demos to discovery or even an entire database.
Because “demo data” shouldn’t be a blocker! Our AI data generator turns a few dropdowns into believable, business-ready datasets in minutes. Pick an industry, preview a schema, and export… now product demos, tests, and dashboards feel real without touching real data. The AI data generator uses a two-stage process to create realistic business data. First, it leverages large language models to generate detailed data specifications based on your business type and parameters. Then, it uses these specifications to create unlimited amounts of realistic data locally. Next.js, Tailwind CSS + ShadCN UI, Open AI, Faker, LiteLLM (only available locally), and Metabase (dockerized, launched on demand…from metabase.com
In the maker’s words, at launch
Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version…
Does a similar job
all alternatives →
I built an AI dataset generator2025 · github.com · ▲169AI Dataset Generator – Create realistic datasets for demos, learning, and dashboards - metabase/dataset-generator
I built an AI that turns GitHub codebases into easy tutorials2025 · github.com · ▲923https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
This AI Does Not Exist2022 · thisaidoesnotexist.com · ▲434Hey HN! Author of the site here. I tried a few tricks to keep the text-generation part of the site up, but even leaning hard on Huggingface's API and bumping time-outs up, it looks like the site is struggling a bit. I'm going to see if there's anything I can do to keep the text-generation part available, but in the meantime, the pre-generated set should stay pretty stable. Not sure if there's much else I can do without burning a hole in my cloud bills — sorry for the troubles! I've put up a more detailed description of how this works on the GitHub -…
My Attempt to Organize the World of AI Dev Tools2025 · aicode.danvoronov.com · ▲101I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
I built an open-source AI data layer that connects any LLM to any data2025 · github.com · ▲18Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
Curator – an open-source library for synthetic data generation2025 · github.com · ▲13Synthetic data generation is an essential step in training and evaluating LLMs/Agents/RAG pipelines, but tooling around this is still lacking. We're introducing Curator, an open-source library designed to streamline the data curation process. While there are many libraries to prompt LLMs, the semantics of generating synthetic data is different from prompting. For example, we need to process a large number of prompts (sometimes in millions or more) while accepting some failures, utilize several stages of prompting, incorporate human feedback, and filter out bad data using verifiers…
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