Cambium AI

Cambium AI

Built on Real Data, Designed for Real Impact

21 followers

Get population insight in minutes. We combined U.S. public data with a natural language interface so you can validate ideas against synthetic personas.
This is the 5th launch from Cambium AI. View more

Cambium AI | Chat with Personas

Launching today
We simulated the U.S. population.
Get population insight in minutes. We combined U.S. public data with a natural language interface so you can validate ideas against synthetic personas.
Cambium AI | Chat with Personas gallery image
Cambium AI | Chat with Personas gallery image
Cambium AI | Chat with Personas gallery image
Cambium AI | Chat with Personas gallery image
Cambium AI | Chat with Personas gallery image
Free
Launch Team / Built With
Flowstep
Flowstep
Generate real UI in seconds
Promoted

What do you think? …

Adelle Wood
Maker
📌
Hey Product Hunt, I am one of the founders of Cambium AI. We built this because we were tired of seeing valuable data locked away. The U.S. government holds the most powerful dataset in the world (Census, ACS, public records), but accessing it requires a data science team or hours of digging through fragmented CSV files. So we fixed the interface. Cambium AI replaces the spreadsheets with a natural language interface. You don't need to write SQL or filter columns. You simply ask questions in plain English, and our system queries the underlying public data structure to give you the answer. Today, we are launching our new platform with a major update: Conversational Personas. We don't just show you the data anymore. We let you talk to it. We use the data to construct "Synthetic Personas"—statistically accurate user archetypes that reflect real demographics, income levels, and regional behaviors. What you can do right now: - Validate quickly: Paste your website URL. We analyze your positioning and auto-generate the audience segments most likely to buy from you. - Chat with your market: Don't guess what users think. "Interview" synthetic personas to test your pricing, messaging, or feature concepts before you write a single line of code. - Zoom in and out: Start with a nationwide trend, then drill down to a specific county, and finally generate a synthetic resident to understand the human behavior behind the stats. Who is this for? Founders: Validate your MVP idea without waiting weeks for user interviews. Product Managers: Test your backlog features against different user segments. Marketers: A/B test your copy against a simulated audience. Let me know if you have questions in the comments. Excited to hear what you think! Adelle
Daniele Packard

Cool idea - do you see this primarily for direct to consumer brands or b2c?

Adelle Wood

@daniele_packard Great question. We see this as useful well beyond direct-to-consumer. While DTC teams do use it for audience understanding and messaging, we also see strong interest from B2B, research, policy, and social impact teams. The common thread is needing to understand how different groups think and respond, using public data, before making decisions.