Join Date
August 2025
Country
Gender
Not Specified
Age
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About Deepan Mehta
Deepan is building Edgedive - the AI-native customer intelligence tool he wished he had.
Previously he spent 4 years as a Sr. PM at LinkedIn, where he launched an AI-powered revamp of messaging, video posting, and messaging stories while driving 10s of millions in ARR. Before that, he launched LiveRamp's first self-serve distribution UXs and APIs. He graduated from Georgia Tech with a BS in computer science and is a Mexican Pizza enthusiast.
Previously he spent 4 years as a Sr. PM at LinkedIn, where he launched an AI-powered revamp of messaging, video posting, and messaging stories while driving 10s of millions in ARR. Before that, he launched LiveRamp's first self-serve distribution UXs and APIs. He graduated from Georgia Tech with a BS in computer science and is a Mexican Pizza enthusiast.
Companies & Work
Edgedive
Listening to your customers is really hard at scale. Edgedive makes it easy.
We collect, tag, and synthesize all incoming feedback from every channel and link it to your CRM so you Product, Eng, and CX teams can focus on building what their customers want.
🔎 Answer any question about anything your customers are saying
🎫 Automatically tag support tickets & quantify revenue impact
🗣️ Schedule custom, automatic voice of customer reports
💸 Identify gaps leading to churn or closed-lost deals
🧪 Get a shortlist good beta testers for any feature
🤩 Monitor customer reactions to launches, live
…all in seconds, not days (or weeks).
We collect, tag, and synthesize all incoming feedback from every channel and link it to your CRM so you Product, Eng, and CX teams can focus on building what their customers want.
🔎 Answer any question about anything your customers are saying
🎫 Automatically tag support tickets & quantify revenue impact
🗣️ Schedule custom, automatic voice of customer reports
💸 Identify gaps leading to churn or closed-lost deals
🧪 Get a shortlist good beta testers for any feature
🤩 Monitor customer reactions to launches, live
…all in seconds, not days (or weeks).
