June AI lets you answer complex product questions using your favourite language: English. 🇬🇧 Write a question about your product, June AI returns the answer 👨💻 View & edit the SQL query if you want. 💾 Save your queries To try 👉 https://june.so/ai
hello Hunters! 🔫
Today is a big day for us 🤞
We’re launching June AI: the power of SQL, automatically generated, in June 💜
Product analytics was complex, so we made it easy.
As time went by, our customers repeated to us they loved our simplicity, but they also wanted more flexibility.
What if they want to know how many users they have on average per company.
Or which users didn’t use their product this week, but did last week.
These questions were too specific. June simply couldn't answer them.
A startup gets a great level of flexibility when it writes its own SQL queries.
But like any language, SQL needs to be learned.
So we imagined what it would be if June could write SQL for you.
Introducing June AI - the only way to answer product questions using your favorite language: English.
Write a question about your product in plain English.
June AI returns the answer and the right visualization for it.
You can view and edit the SQL query if you want.
And save your favorite queries to make them available to your team.
Using GPT-4, June AI provides anyone the power of SQL, with the familiarity of writing prompts in plain English.
We can't wait to see what you do with this! 💜
To join our beta you can head here: https://june.so/ai
@matthieurouif@dhpwd sure, typically B2Cs want to understand at scale how their product is being used: which flow users typically take, which buttons get clicked the most, experiment variants (also A/B test).
B2Bs usually don't care about that. They want to understand if an account activates, retains and monetizes. They want to understand at a glance the mix of feature an account needs to use to be successful. They work hand in hand with success and sales teams to make accounts successful.
This is what June lets you do out of the box 🤗
These are just a few examples but they should illustrate the difference already.
Hope it makes more sense!
Nice ! Can't wait to play with this as Waldo! I particularly like that you embedded some collaborative aspects with this. Seeing what your colleagues asked really helps share the knowledge AND generate new ideas to explore the data.
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