Airbook AI - Cursor for Analytics
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Airbook AI connects to your CRMs, marketing, support, and product databases - understands your schema, auto-writes SQL, joins across sources, creates charts, builds dashboards, and activates workflows - In one place, on command.
Replies
Airbook AI turns data chaos into clarity. It connects to your CRM, support, and product tools understands your schema, writes SQL, joins sources, builds dashboards, and even triggers workflows. All in one place, just ask.
Airbook AI
@vivek_sharma_25 Thanks for summing it up so well! 🙌 That’s exactly what we’re building — making messy data actually work for you instead of against you.
Curious — which part would save you the most time: auto-writing SQL, connecting multiple tools, or triggering workflows right from your data?
Looks good, looking forward to test it
Pylar
@boyok Thank you! Let me know if I can help anywhere!
Awesome launch, Airbook! Sync-clean-analyze-activate all in one—impressive!!
Pylar
This is shockingly well made. Feels like the Supabase AI assistant; but with every source + visualizations. Love it. Great job!
Pylar
@hoshang_m as soon as we need to dive into more in-depth analytics we'll 100% come and check it out
Pylar
@philip_alm Thank you! Looking forward to having you try it out!
SMASHSEND
congrats guys! it's been a while that I wasn't impressed by a cool analytics products, but you did that! Sounds like you are very feature packed, and love that fact you can sync back cohorts to marketing platforms. SMASHSEND integration :p
Pylar
@jgferreiro Thanks Jorge! Glad you like what we're building here. Just looked at Smashsend, looks super interesting. Would love to chat if there's an opportunity to collaborate for letting customers activate their data from Airbook into Smashsend!
This is awesome!! I have been a career data analyst and am looking forward to checking it out once I have my startup up and running in a month
GPT-4o
Whoa, Airbook AI is kinda genius imo! Auto-writing SQL and joining across all my different data sources — that's a HUGE time saver, ngl. Truely impressed with how it simplifies analytics. How customizable is it for different types of visualizations?
SuperIntern
Love the Cursor analogy, that schema-aware AI context is exactly what analytics has been missing. How does the AI handle complex joins across different data models? Does it maintain that Cursor-level intelligence when you're working with messy real-world data schemas?
SuperIntern
can this be run in a scheduled way, lets say get insight at every morning 8:00am?
SuperIntern
Love how the AI understands schema relationships—definitely a game-changer for cross-source queries. Curious, can it handle custom field mappings or does it strictly rely on predefined schemas? Also, how flexible is the workflow automation for non-standard integrations?