Hops offers a new way to build backoffice applications powered by AI. Simply describe your needs to AI, and it generates complete solutions Like Notion, type '/' to add charts, tables, and forms while connecting to your existing databases and APIs
Chat to build backoffice with AI
Hops offers a new way to build backoffice applications powered by AI. Simply describe your needs to AI, and it generates complete solutions Like Notion, type '/' to add charts, tables, and forms while connecting to your existing databases and APIs
Hey Product Hunt! 👋 I'm Hyojun from Hops, and I'm excited to share what we've been building to solve the internal tool dilemma. 🤔 The Problem Engineering teams spend 15% of their resources building internal tools instead of core products. For startups and growing companies, this means choosing between slowing down product development or operating without essential internal tools. 💡 The Solution Hops is an AI-powered platform that lets you build admin panels and operational dashboards without eng
I signed up a week ago to create a back office for my company, and using AI has been incredibly convenient. It handled all the basic functions effortlessly. Plus, being able to fine-tune things in an editor like Notion was a great touch. I highly recommend this for startups that need to build a back office!"
Hyojun, this looks really cool. I'll check it out!
Looks interesting and something useful. Good number of supported data sources and UI components.
Hi hunters! I'm a front-end engineer at Hops. Could you share what UI components or pages you think are essential for the backoffice? For example, do you need a statistics dashboard or something like that. Any feedback is always welcome! :)
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.