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<p>We baked ChatGPT into Crowd and ngl, we’re not looking back.</p>
Crowd is our AI powered customer intelligence tool, and one of the most useful things we ve added lately is letting people chat with their data.
Instead of clicking through 10 tabs or pulling up a dashboard, you just simple questions in English and get instant answers.
Super helpful if you re a solo founder or PM who needs answers fast but doesn t want to dig through graphs all day.
It s also made our own team faster at spotting what s working and what s not. So yeah huge win.
How many analytics tools is too many? (Asking for a friend... okay, it's me)
Fellow makers, I need some real talk here.
Anyone else feel like they're spending more time switching between tons of tools than actually building?
I'm launching something on June 27th that combines all of this into one platform (Crowd), but genuinely curious - what's your analytics stack looking like these days?
Are we all just collectively accepting that customer intelligence requires 5+ subscriptions, or is there a better way?
How we discovered that tool juggling was killing product teams (and built the solution)
If you've ever juggled 5+ different tools just to understand why users are churning, this story is for you.
Hi Product Hunt, I'm Joseph, a cofounder at Crowd.