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).
ObjectStack turns the whole app — data model, UI, workflows, permissions — into typed metadata: a complete CRM in under 150k tokens, one context window.
Hi Hunters! 👋 I'm Jianguo, and I'm thrilled to introduce ObjectStack AI today alongside our team.
The Problem:
As we were exploring AI Agent CLI integrations and trying to get AI to build enterprise apps like CRMs, we hit a massive wall: codebase bloat. If you ask an agent to write traditional backend and frontend code across dozens of screens, it quickly exceeds the context window, leading to hallucinations and broken logic.
Our "Aha" Moment:
We realized that AI shouldn't be writing raw boilerplate code. It should write schemas.
The Solution:
That’s why we built ObjectStack. It is an open-source, metadata-driven framework that shrinks the entire business ontology (data objects, views, workflows, permissions) into a format compact enough to fit into a single AI context window. The agent writes the metadata, and our ObjectQL runtime dynamically derives the database, REST API, and UI.
We'd love for you to try building an app with our 60-second quickstart command:
npm create objectstack@latest my-app
I'll be hanging out in the comments all day. What do you think about moving from raw code to schema-driven architectures for AI? Let me know your thoughts! 👇
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About ObjectStack AI on Product Hunt
“Build enterprise apps in one AI context window.”
ObjectStack AI was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #135 on the daily leaderboard. ObjectStack turns the whole app — data model, UI, workflows, permissions — into typed metadata: a complete CRM in under 150k tokens, one context window.
ObjectStack AI was featured in Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers) and Business (8.3k followers) on Product Hunt. Together, these topics include over 213.6k products, making this a competitive space to launch in.
Who hunted ObjectStack AI?
ObjectStack AI was hunted by Jianguo Zhuang. 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 ObjectStack AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Jianguo Zhuang