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A SaaS platform that models your market

Test ideas, products, and businesses before you commit time and money — by modeling real market demand with dozens of AI agents.

Trusted by 500+ teams worldwide4.8
  • PotentialWhether your idea or product is worth pursuing — or it's time to change course
  • ValueWhat your product needs to be for people to buy it
  • Go-to-MarketWhere to find customers, how to sell to them, and how to keep them

Built for founders who want clarity before the next move

Finding ideas

Vet directions before you sink time and money into them.

Spot the ideas and niches with real potential — and pick the one that's actually worth going after

Idea / side project / MVP

Find out whether there's a market for what you're building, who the customer is, and what they care about.

Get a clear answer before you burn months on the wrong thing: keep going, shift focus, or head in a different direction

Early-stage product

Find new segments, compare strategies, sharpen your focus.

See where your product resonates, who your real customer is, and which moves get you closer to product-market fit

Just tell us about your idea, product, or business

Example prompts

Finding ideas
Idea / side project / MVP
Early-stage product

A full customer discovery cycle — without a single real interview.Six layers of analysis: from how people actually behave to where you should go next.

01

Deep behavioral modeling

BHAG simulates dozens of behavioral scenarios — similar to what an experienced researcher would uncover — analyzing motivations, contexts, and potential barriers without manual interviews.

02

A sample that reflects the market

The platform casts dozens of AI agents as respondents — behavioral profiles, each interpreting your idea from its own context and motivation. Together they form a cohesive picture of how the market might respond, rather than isolated opinions.

03

Segment mapping and potential

BHAG identifies pattern-based segments and compares them across key dimensions: scale, perceived value, competition, complexity, and uncertainty. This reveals which directions look promising — and which may lead to wasted effort.

04

Behavioral segment profiles

For each segment, BHAG outlines context, core tasks, motivations, value drivers, barriers, and decision logic. This helps you understand how different types of users might think and choose, without involving real users or personal data.

05

Value perception analysis

The platform uncovers which aspects of your idea resonate, which create hesitation, and which are overlooked — helping you see what a compelling version of your product could look like.

06

Strategic direction

BHAG highlights where demand signals appear stronger and where uncertainty remains, giving you a structured sense of which paths are worth exploring next.

All of it lands in a single Discovery Report.See the full methodology →

What builders are saying

“For six months everyone told me it was a great idea. In one evening it turned out the people who would actually pay were a different group entirely — and the feature I was proudest of barely mattered to them.”
Marcus Feld
Product manager at Klarna · building a booking tool on the side
“Feature requests were pulling us four ways at once, and every argument ended with ‘let’s just build both’. The segment map settled it in one sitting: half of those requests came from people we were never going to serve.”
Helena Vos
Founder, B2B logistics platform
“I had nineteen ideas in a doc and no way to rank them. Two of my favourites fell apart on the demand screen alone. I’m still building the third.”
Tom Aldridge
Engineer at GitLab
“I rewrote my landing page with the wording from the value section, almost verbatim. Sign-ups doubled — and the product itself hadn’t changed at all.”
Priya Raman
Designer at Figma · building an MVP on weekends
“The segment we treated as secondary is the only one that pays without being talked into it. We had spent months shipping for whoever wrote to support the loudest.”
Jonas Lindqvist
Co-founder, learning platform with ~300 users
“I came in looking for the point where the AI starts making things up. I ran a market I know from the inside and never found it — the barriers and motivations read like my own notes.”
Elena Marchetti
Analyst at Booking.com · building a travel side project
“I was about to spend my holiday building a prototype. The report showed that people already get that job done with two free tools taped together. I took an actual holiday instead.”
Adam Cole
Engineer at Monzo
“For once the outcome of the research was a decision not to build. Four hours against the three months I would have burned anyway — best trade I made all year.”
Rafael Duarte
Indie developer, three launches in
“The risk section named the one assumption my entire pricing rested on. I tested it in a week. It didn’t hold — and that saved a quarter of engineering.”
Naomi Brandt
PM at Shopify · runs a subscription side business
“My co-founder and I argued about focus for months, each with a theory and no data. Now we argue about how to test things instead of who reads the market better.”
Chris Whelan
Founder, previously PM at Revolut
“Turns out I wasn’t stuck for lack of ideas. I had no way to tell which of them anyone actually wanted. Those are different problems and they don’t have the same fix.”
Sofia Nowak
Engineer at Datadog
“We went through the go-to-market section as a team over two sessions and came out with the places our buyers actually solve this. We stopped paying for the ones that just scroll past us.”
Daniel Okonjo
CPO at a fintech startup, previously at Wise

Stop building blind.

Find your path to product-market fit.

See a sample report

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