207 Interest Score
31 Discussions
0.15 Engagement
Jun 2025 Launched

rabbit intern is an all-purpose general AI agent that transforms an individual into a team, with the superhuman ability to accomplish just about any task in minutes. It delivers high-quality, comprehensive, ready-to-use final outputs in the format you need.

What the Community Said

hey Product Hunt crew! we’re excited to launch our second product: rabbit intern ! intern turns one person into a superpowered team. commissioning a project and having it done would take weeks, if not months. but imagine having a full website developed, receiving a deep market research report, and getting a thorough presentation deck ready for review, all while you’re out to lunch. that’s what intern does. here are a few things to know about rabbit intern: intern delivers polished results, in an

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This is truly another amazing product by rabbit, couldn’t be more proud of them.

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Rabbit intern is turning out to be a powerful tool for vibe coding and wider use cases such as design. Excited for the future of Rabbit

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@rabbit @codingsellingwriting @jesse_lyu congratulations on the launch. I’ve been really impressed with Intern. I’m looking forward to seeing the platform continue to evolve.

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One shot a great idea for a website. I had been struggling to come up with a clear design and narrative. I copied and pasted all the text that I had for the project and asked it to create a modern and light theme for a WordPress site using all the info that I had provided. I was amazed at how well it did saved me a ton of work!!

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Frequently Asked Questions

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.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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