Notion’s Post

View organization page for Notion

910,472 followers

What if the secret to building a billion-dollar company isn't chasing every signal, but knowing which ones to ignore? This week, we're sitting down with two founders who cracked the code on customer clarity: Jesse Zhang, who scaled Decagon to $1.5B in just one year out of stealth, and Frank Lee (in conversation with Notion's Eric Liu), who built Inari through acquisition by Amplitude. Both share the same truth: less noise, more signal. Clean insights over volume. Execution over distraction. Three takeaways 💡 → Quality earns trust — fewer, cleaner insights beat noisy volume → Distribution drives momentum — consistent content fuels traction → Markets matter early — pick spaces with real budgets Plus: Get Decagon's Customer Feedback Template to capture signals and align teams. Watch + get the template 👇

Joshua Kim

Growth at Notion | EIR at First Round | Prev Spotify, Credit Karma

17h

Let's go Frank Lee Eric Liu!

Mercy Zheng

Software Development Director

17h

Love the emphasis on clean insights, consistent distribution, and choosing markets wisely—these are practical lessons for any founder looking to scale with intention.

Brigitte N.mugisha

Electronic Accessories & Mobile Devices Specialist | Customer Service Focused | Building Brigitte Holds | Reliable, Professional & Growth–Driven

3h

Very inspiring — thank you for sharing.

Like
Reply
Frank Lee

Agents @ Amplitude | Founder @ Inari (acq) | Formerly Dapper Labs, Opendoor, Amazon

15h

Thanks for having me on! Hopefully other builders learn from my painful mistakes 😄

Anita Umoren

Global Community Builder for Tech, Web3 & Creative Ecosystems | Growing Communities and Designing Experiences | Exploring the Law in Digital Spaces

16h

What really stands out here is how Decagon and Inari treated clarity as something they engineered into their process. It wasn’t just about cutting noise but creating simple habits that stopped noise from building up. One practical example I’ve seen work is tying every product decision to a single verified customer signal rather than a collection of assumptions. It forces teams to stay honest. Welldone, I want to read more from you.

See more comments

To view or add a comment, sign in

Explore content categories