Zerve AI

What if Jupyter + Figma + VSCode had a baby?

5.0•35 reviews•

457 followers

What if Jupyter + Figma + VSCode had a baby?

5.0•35 reviews•

457 followers

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Project management software

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Team collaboration software

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Data analysis tools

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Data visualization tools

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AI Infrastructure Tools

Zerve’s Data Science Development Environment gives data science and ML teams a unified space to explore, collaborate, build and deploy data science & AI projects.

Free

Launch tags:Developer Tools•Artificial Intelligence•GitHub

Launch Team

Tines The single, secure environment for agents, apps, and automations.

Promoted

Zerve AI

Maker

📌

Hey Product Hunt! Over the last decade, I've been watching organizations struggle to build AI, most recently as CCO at DataRobot. Things like unstable development environments, no real ability to collaborate with your team, and significant challenges in getting experiments into production are incredibly common and in many cases have become the de facto standard. Our team has been researching and building a solution to these problems for over two years, and I’m really excited to share that with you today. Zerve is a data science development environment for data science & AI teams to explore, build, collaborate and deploy their work. Imagine the best parts of Jupyter, VScode and Figma, that's Zerve! Data exploration, but it's always stable Notebooks were never built for productionizing your work and are fundamentally unstable. Instead, for the first time, explore you data and write stable code at the same time. Figma like collaboration with VSCode like engineering controls Zerve enables data teams to collaborate but in a safe and stable way. Couple that with built in engineering controls and suddenly the need to switch between tools goes away. No more waiting, parallelize your code Why wait for code blocks to execute one after the other? Instead, parallelize as many code blocks as you want and never get slowed down. No language limitations Use Python, R, SQL and Markdown interchangeably on the same canvas. Our underlying architecture also means there is no limit to other languages we can add to this group. Deploy on your terms Zerve simplifies deployment. Deploy in Zerve or handover over to the team in the format that they need. No more friction and no more recoding. Simple. We’re excitied to shoot for the moon and work towards achieving our mission of elevating the impact of data science & AI on the world. To do that, we have rebuilt the foundations from the ground up and are super excited to share this with the Product Hunt community today! Ready to try Zerve yourself for FREE?? Signup here today at app.zerve.ai. We would absolutely love to hear what you think, so please feel free to drop a comment below or reach out to me directly at greg@zerve.ai. PS. Thank you to @chrismessina for the fantastic advice and guidance as well as hunting our product!

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2yr ago

@greg_michaelson UpVoted 🙌 and Congratulations on your Launch team 🎉

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2yr ago

Zerve AI

Maker

@mohini_shewale Thanks so much!

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2yr ago

Zerve AI

Maker

@chrismessina @mohammed_mustafa_jafer Well, the main issue is that there's no data science development environment that gives you both stability and interactivity!

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2yr ago

@greg_michaelson Hi, we create Web Operating System with own app store, where users get software from. Your app is amazing and we want to enable you to share it to our users 🙂 Can we talk?

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2yr ago

Osaurus

Hunter

Zerve arrives just in time to give data science and ML teams a collaborative, iterative environment to develop data science and AI projects, with the ability to quickly pivot into producing delivery deployment-ready code, that can be deployed to AWS or downloaded directly. You've got to the check this out. This is a hidden gem.

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2yr ago

Zerve AI

Maker

@chrismessina thrilled that you think so! Thanks for the support!

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2yr ago

Zerve AI

Maker

@chrismessina pleasure working with you on this!

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2yr ago

Founders by DogpatchLabs

Incredible Launch! Congratulations all! 🇮🇪 I have only played so far, I don't have a use case but damn, I can't wait until I do.

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2yr ago

Zerve AI

Maker

@jack_o_regan_kenny Me neither! Can't wait to see what you build!

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2yr ago

Zerve AI

Maker

@jack_o_regan_kenny Let us know how you get on!

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2yr ago

Zerve AI

Maker

From scratching the surface of the idea to finally launching the product, saying its been a wild ride would be an understatement. The journey has been highly fulfilling as we as coder try to address the problems we have faced with notebooks all our life's. Focusing on code first data users and solving the challenges they face has been a very rewarding journey. You can now easily collaborate, share environments and work on multiple streams without having to worry about having a shared kernel which can result in values being ambiguous. I am extremely proud of the fact I am part of the team behind Zerve. We have given it our all to ensure we come up with a product that solve real life pain points and can help developer and data explorers achieve their task in a much better way

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2yr ago

@hj576 congratulations on your Launch 🎉 UpVoted 🙌

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2yr ago

A huge congrats on the massive body of work done to get you to this point. Great to see the recent developments!

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2yr ago

Zerve AI

Maker

@cgarvey Thanks a mil for the support! CG!

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2yr ago

Zerve AI

Maker

@cgarvey Thanks CG! A lot done, a lot more to do :)

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2yr ago

Zerve AI

Maker

It's been an awesome journey to here, we've interviewed 100s of code-first data users and we would not be here if it wasn't for how generous the community was in helping to guide our product vision. Excited to hear even more feedback and grow our community further.

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2yr ago

Zerve AI

Maker

Building Zerve from the ground up for the last two years has been a wild ride! I am super proud of the work our team has done and there is some really interesting underlying tech in Zerve so if anyone wants to chat about it, comment below!

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2yr ago

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5.0

Based on 35 reviews

Review Zerve AI?

Reviewers consistently describe Zerve AI as an easy-to-use, collaborative workspace for data science work, with repeated praise for its clean UI, smooth performance, and ability to save time on projects. The most specific feedback highlights parallelized code blocks or pipelines, shared team workflows, and working with SQL and Python on the same canvas. Several users say it runs well even without powerful hardware. Critical feedback is sparse, though one early user notes that some areas still need more work.

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