Mage

Give your data team magical powers!

5.0•8 reviews•

312 followers

Give your data team magical powers!

5.0•8 reviews•

312 followers

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Databases and backend frameworks

Open-source data pipeline tool for transforming and integrating data. The modern replacement for Airflow. - Integrate and synchronize data from 3rd party sources - Build real-time and batch pipelines to transform data using Python, SQL, and R - Run, monitor, and orchestrate thousands of pipelines without losing sleep

Free Options

Launch tags:Developer Tools•Artificial Intelligence•Tech

Launch Team

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Promoted

Mage

Maker

After working with hundreds of product developers at Airbnb for over 5 years, I saw a lot of them had great ideas on how to use AI to enhance their products. Unfortunately, everyone still relied on data science resources to help them implement their ideas. Existing tools were designed specifically for data scientists, making the power of AI inaccessible to most people. That’s why we created Mage. It’s the easiest way to build and use AI. Now every developer can integrate AI predictions into their products, creating immediate value for their users. Traditional AI models can take months to build and ship; with Mage, it only takes minutes. How it works: 1. Connect your data to Mage via data warehouse, database, API, etc. 2. Enhance and clean your data with Mage’s guided suggestions 3. Train, improve, and deploy your model to an online API endpoint You might be wondering "what is a mage?" A mage is someone who uses magic. Advanced technology is indistinguishable from magic. Our mission is to equip product developers with advanced AI technology, transforming them into someone who uses magic: a mage. Get started with Mage for free. Please let us know if you have any questions, we’d love to hear your feedback and see what you build!

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4yr ago

@tommydangerouss That's awesome! Good luck!

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4yr ago

Archbee

@tommydangerouss @greg_janota Congrats on the launch! I tried to find a getting started guide. Any link will help to check if we can use Mage 🙌

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4yr ago

Mage

Maker

@tommydangerouss 🙌 💯🚀

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4yr ago

Mage

Maker

🙌🏼

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4yr ago

@tommydangerouss congrats on the launch!

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4yr ago

Yo this is FANTASTIC! Do you see this being an open platform to integrate with things like HuggingFace?

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4yr ago

Mage

Maker

@gettogether thanks so much Mike! It's not built into our current roadmap, but we'd love to explore this integration in the future.

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4yr ago

Mage

Maker

@gettogether ayo thank you Mike for the compliment! 🙂

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4yr ago

Mage

Maker

@gettogether Thank you so much!!

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4yr ago

Mage

Maker

@gettogether Hey Mike! We absolutely want to make the platform open. We are transparent about how we build things, the open source libraries we use, etc. We explain as much as we can what goes on underneath the hood. We aim to contribute back to the community. As for integrating other libraries, we currently work to integrate the state of the art libraries that are open source and well tested. We don’t have plans to integrate with HuggingFace yet, but as the appetite grows, we’ll definitely prioritize.

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4yr ago

Sealit

Great! *_* I must say that the interface is so nice, clear, well designed and smartly done - seems to be real enjoyable to work in! Congrats on the launch! ^_^ Can you tell me if Mage provides predictions of possible users' actions according to custom parameters? :))

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4yr ago

Mage

Maker

@maria_brm Thanks so much for the love Maria! Yes, given event data, for instance connecting Mage to Amplitude, you can predict if a new user will perform a certain actions like an impression or click somewhere. Hope that helps :)

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4yr ago

Mage

Maker

@maria_brm That's great to hear Maria. I hope you are able to easily build some models that offer the insights you need.

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4yr ago

Mage

Maker

@maria_brm Wow, thank you so much for your feedback & support!! Means the world to us! Yes, we can provide that prediction! :)

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4yr ago

Mage

Maker

@maria_brm Thank you Maria for the kind words and great feedback. You can build an AI model that learns from past data. Then, once the model is done learning, you can get its predictions via API call. When you make this API call, you can pass in those custom parameters to get real-time predictions.

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4yr ago

Sealit

@john_patrick_hinek Totally amazing! *_* I like Mage's features a lot, and I must say I have never had before an opportunity to use a tool like this! So I am very excited and looking forward to starting! *_*

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4yr ago

Lenny’s Podcast

Hunter

Congrats on your launch @tomydangerouss and team! I love how easy Mage makes creating data predictions. Looking forward to seeing what’s to come.

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4yr ago

Mage

Maker

Thank you Lenny! Means a lot coming from a legend like you!

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4yr ago

Mage

Maker

@tomydangerouss @lenny_rachitsky Thank you Lenny! We've got many more magical things on the way.

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4yr ago

Mage

Maker

Thanks lenny!

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4yr ago

Mage

Maker

@tomydangerouss @lenny_rachitsky Thanks for all the feedback and support Lenny!

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4yr ago

Mage

Maker

@tomydangerouss @lenny_rachitsky Thanks for the support!!!

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4yr ago

Wow, this product really is a game-changer! Congrats on the launch guys! 🚀 @inffer did you already see this?

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4yr ago

Mage

Maker

@inffer @vylimaki Thank you so much Valtteri! Please let us know when you try us out, we'd love your feedback and to see what you build.

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4yr ago

Mage

Maker

@inffer @vylimaki Thank you sooo much! Mage is going to make it possible for smaller companies with less data science resources to be able to create the same data-drive products as large tech companies. Mage is empowering your existing team to become AI experts!!!

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4yr ago

Mage

Maker

@inffer @vylimaki Thank you Valtteri! 🙏

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4yr ago

Mage

Maker

@inffer @vylimaki Thank you so much for your support!! We are really excited and passionate about Mage and would love to help as many people as we can to succeed! :)

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4yr ago

Social Rebel

Would you be interested in getting some press for your product? I'm bringing my service solely to Product Hunt to gain some more traction and testimonials.

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4yr ago

Mage

Maker

Hey @trey_cannon! Can you please email press@mage.ai. Sounds interesting!

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4yr ago

Mage

Maker

@trey_cannon Thanks so much for reaching out Trey! Looking forward to connecting with you.

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4yr ago

Mage

Maker

@trey_cannon Hey Trey! Reach out to press@mage.ai and we can further discuss!

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4yr ago

And here I was, about to learn how to program AI in order to try and gather better info. What a waste that would've been. Can't wait to see what this product brings to the market! I'm definitely all in on Mage!

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4yr ago

Mage

Maker

@ajvans thank you AJ! Never have to open up another AI textbook again. Please let us know if you have any feedback on how we can continue to improve!

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4yr ago

Mage

Maker

@ajvans Thank you AJ! Can't wait to hear about all the cool things you build with Mage!

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4yr ago

Mage

Maker

@ajvans haha thank you!

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4yr ago

Mage

Maker

@ajvans Thank you so much!! We really appreciate you!

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4yr ago

Mage

Maker

@ajvans let us know your experience and anything you’d like to learn. We put a ton of educational material in our blog too! https://www.mage.ai/blog

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4yr ago

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5.0

Based on 8 reviews

Review Mage?

Mage is highly praised for its intuitive and fluid pipeline development using Python, SQL, and R. Users appreciate its seamless integration and synchronization capabilities, making it a strong alternative to Airflow. The tool's robust monitoring and user-friendly interface are frequently highlighted, with many noting its ability to simplify complex data operations. Users also commend the responsive support team and the tool's rapid development. Overall, Mage is recognized for its powerful functionality and excellent user experience, making it a valuable asset for data management and AI projects.

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Mage

Give your data team magical powers!

Give your data team magical powers!

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