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Airbook 2.0 — Think Notion, but for analytics
Airbook eliminates the complexity of pulling data from multiple sources and juggling fragmented tools for cross-functional teams to build insights across 150+ sources with or without code.
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Johan Steneros
Looks promising. Great tagline.
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Congrats on the launch @hoshang_m and team! This is pretty powerful stuff to be able to quickly connect with multiple data sources - honestly that alone is a startup that people are willing to pay bucks for already.
I like how you also have some presentation capabilities where you can explain your data on top of visualizing so you have a beautiful report ready to go. Good stuff!
Curious about your pricing strategy - sounds like folks pay per seat and per connection, what was the reasoning to not have a one combined per seat pricing?
@tonyhanded Thanks Tony!
Through many conversations with prospects and customers, we realized bundling seats and connectors might not be ideal.
We aim to keep things flexible and usage based, so you can start with a few connectors and seats, and easily add more as and when your team and use cases grow.
@sentry_co That's great feedback André! We have been working towards introducing more flexible tiers. Would love to connect and discuss this with you!
Airbook 2.0 simplifies data management across multiple sources. Well done, Hoshang and team!
@thetlinthu Thanks for the feedback Thet! Would love to learn how you plan to use Airbook!
Hey Hoshang! Impressive work here. Airbook looks like a game-changer tool at the moment of measuring and analyzing date from different sources. Glad to see you helping on that.
@german_merlo1 Thanks Germán! We're looking forward to hearing more about some of the top reports you're building on Airbook!
I just tried Airbook 2.0, and it's a truly for anyone dealing with multiple data sources! If you’re familiar with Jupyter Notebook or Kaggle, you'll find it much easier to create dashboards and do analysis with Airbook. Whether you're a data expert who loves diving into SQL or a business team member needing no-code chart options, I can see Airbook can get you covered.
The ability to build insights without messy pipelines and multiple dashboards is a huge timesaver. If you’re looking to simplify your data analytics process, you should give Airbook a try.
@hoshang_m Do you currently support only bar, line, and area visualizations, or are there other types available?
@ashikhameed Thanks for trying out Airbook! We do support a range of widely used Chart types today like Bar (Stacked or not), Area, Line, Pie. We even support combo charts (e.g Line + Bar) with multiple axes to consume insights better. We're working towards adding more options here for sure. Any chart types you'd want us to cover which would help you?
Hi! Looks really great! Congrats!
Are the charts updated with fresh data? You presented GA as an example, does it pulls data regularly?
@younes_benallal Yes! You can schedule a refresh of your data as per your convenience. By default, it syncs every 24 hours.
Absolutely love how the team has thought about analytics and showing it in such a nice way. Analytics can be daunting. But being able to easily navigate makes a lot of sense.
@shivay_at_pieces Thanks for your kind words! Let's make data less intimidating for everyone :)
Looks pretty rad! How do the templates adapt to different data setups? For instance, an ecommerce checkout funnel could have all sorts of different events and event names depending on the platform and customizations, etc...
Either way, it looks like a very cool cool if you're handling multiple data sources.
Congrats on the launch!
@anthony_latona Thanks for this question, Anthony! You're right, the templates currently available are more of a guiding hand purpose built for common data sources. The nature of analysis as well of data sources can be very nuanced but these templates are built with an aim to provide a good starting point for anyone wanting to extend their usecases from here.
@sandeep_upscale Absolutely! Here's the link to my calendly - https://calendly.com/meet-airboo...
Congratulations on the launch, team. Great product for data and business teams. Wishing you the best! :)
Airbook 2.0 looks promising! How does it handle real-time data synchronization across multiple sources?
@memphys_sk Airbook handles data syncs with flexible schedulers.
You can set data refresh intervals to every 24 hours, 6 hours, or even more frequently, ensuring your data stays up-to-date across all sources.
Let me know if you have any other questions!
Congratulations on your launch! I didn't get why think Notion in your case. Because of great UX and simplicity in use?
@anastasiia_stepko Thanks for this question.
Yes, you're right!
Often our customers describe Airbook as 'Notion-like, with all the powers of BI.'
Airbook's form factor is like Notion—simple, flexible, and notebook-like.
We want it to be easy for both technical and non-technical team members to work with data, so we've made sure the experience is simple.
Very cool! Congrats on the launch, when I first saw this, jupyter notebooks come to mind 😄 but looking a little closer it certainly helps to have all your data sources readily available instead of having to write code to fetch those.
@ler_ws Thanks so much! 😊
We’ve been power users of Jupyter too while heading data teams, but we noticed a gap—it wasn’t connected or collaborative. We often had to hop between tools to get a cohesive report together.
That’s why we built Airbook, to bring all your data sources together in one place, making collaboration seamless.
Looks awesome! I would love to try this product but honestly 2 week trials are generally too short for me to evaluate new data products. I wish there was a free tier that switched to paid upon hitting a particular usage level (non time-based)?
Just for me to connect our data sources and play around with it over the course of ~3 months, I’d have to fork out $$$ :/
@keimaumau Thanks for this suggestion, Keith! I've DM'd you on Linkedin, would love to chat.
Congratulations. I'm impressed by the number of integrations you support. How did you build so many integrations? Is it through a 3rd party ?