Steep

The first BI tool built to be loved not just used

128 followers

The first BI tool built to be loved not just used

128 followers

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Data analysis tools

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Data visualization tools

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Business intelligence software

Steep is a BI tool for modern companies. Built for the semantic layer, it’s intuitive and easy for everyone in the organization. Teams create reports together with a product experience like Notion or Figma. Integrations with dbt Cloud and Cube.

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Launch tags:Analytics•Business Intelligence•Data Visualization

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Steep

Maker

📌

Hey Product Hunters! I'm Johan, the CEO & co-founder of Steep. As a data leader at Spotify, Zettle, and Kry, I've encountered the pain points of legacy BI tools firsthand—visualizations are inflexible and hard to use, everyone needs help from an analyst even for basic questions, and no one is sure which numbers to trust. We knew there had to be a better way. That's when my co-founder, Nino, a design leader, and I teamed up. With my passion for analytics and his passion for design, we have created a unique product in the BI space. Our tool is specifically designed for modern data leaders and is built for the semantic layer with integrations to dbt Cloud and Cube. It's easy to use and intuitive for everyone in the organization. Why Steep is unique: ➜ Built from the ground up to be used by everyone in the organization. ➜ Flexible, streamlined visualizations powered by semantic layer metrics. ➜ Teams create reports together with a product experience that feels like Notion or Figma. ➜ Fully cross-platform with web, Mac, and mobile apps. ➜ Build your metrics catalog through Steeps UI or semantic layer integrations with dbt Cloud and Cube. Our goal is to make BI something that your whole organization can do together–letting data teams focus on the data and definitions and empowering end users to answer all their questions themselves. So try it out for yourself, and let us know how we can make Steep even better. We have a 🆓 tier for up to three users, you can connect it to your data warehouse or use demo data for a hassle-free trial experience. Please consult your data team to see if Steep is the right tool for you 👩‍⚕️ Looking forward to hearing from you all! 🙌

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2yr ago

@baltzar Congratulations on the release of the unique Steep product!🚀

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2yr ago

Noctie

Incredibly well thought out, designed, and properly integrated with the tools I need. The mission to make it usable on a level that any role can use it is so important. Good luck with your launch, this is amazing!

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2yr ago

Steep

Maker

@sabina_sonning Thanks Sabina! Good luck with your launch coming up!

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2yr ago

Extremely slick integration into dbt Cloud's semantic layer, very seamless. The experience on the app is the best self service I've seen, and a joy to use. Congrats on the launch!

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2yr ago

Steep

Maker

@ernesto_ongaro Thanks, Ernesto!

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2yr ago

SereneAI

Very happy to have tried Steep in production at a client of mine. You make Looker look like the Blackberry of product analytics while you are sweeping in as the iPhone 🥳

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2yr ago

As a consultant analytics engineer, I have been astonished by the "time to value" that Steep offers. My team and I have been implementing it with our customers because we truly believe that the semantic layer provides a net benefit for everyone. Non-technical users can freely explore metrics on their own, and data engineers can manage metric distribution with ease—which helps us sleep at night! Additionally, Steep is incredibly fast, feels very intuitive, and brings a refreshing look to a BI world that sometimes feels... old. A bonus point for the amazing mobile app, which facilitates on-the-go analysis! Pricing-wise, there's no need to break the bank either. You can use the tool for free for up to three users, and after that, the pricing becomes very attractive when considering the immense value the tool offers. There's no reason not to give it a try. We are super excited to see what's next for Steep! 🚀

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2yr ago

Steep

Maker

@emilio_biz1 Thanks Emilio 🫶 It's always a pleasure when we get to support one of your customers!

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2yr ago