Flourish Ventures' Emmalyn Shaw explains how early-stage startups can define, test, pivot and successfully figure out their product-market fit.
I do not pretend to have a silver bullet, but I do have a tried-and-true framework you can use to help you achieve your first million.
How can you find PMF in the most efficient and frictionless way possible? I argue that the answer to this question is paid acquisition.
One mistake AI founders commonly make is that building models of client data is sufficient for product-market-fit and differentiation.
Instead of playing the hero during startup board meetings, CEOs should allow team leaders to speak for themselves.
It's a perennial question for early-stage startups: how does one find product-market fit (PMF)?
While many layer-1 blockchains out there were built for a pretty general purpose, other networks were designed around very specific use cases. Sei, a layer-1 blockchain designed for trading, has launc
It's natural for founders to live and breathe for their customers and product, but the dirty little secret of fundraising is that your investors are extraordinarily unlikely to care about your product
In a downturn, getting the timing and evolution of a GTM model right relative to the maturity of a business can make the business and getting it wrong can break it.
Unlike most software companies, open source startups have two journeys for finding product-market fit: building a product that users can use for free, and then building features that they will pay for
If you haven’t found a technical co-founder or freelancer to build your MVP, here are four principles that will help in the meantime.
In today’s uncertain market, using freelancers is a way for companies to find or deepen product-market fit without betting the farm.
It always stings to hear a prospect say, "Oh you’re like a cheaper/newer version of [your biggest competitor]." It stings even more when you know you have a superior product.
Did UiPath's valuation get hit by the same shrink ray affecting other software companies, or are other factors at work?
"Trust me with what you don’t know or what’s not working," says GV investing partner Freerique Dame, "because once we invest, we’re going to have to work on this stuff anyway."
"Understanding the user journey of your customers, and what you're doing with your product is really, really important,” said Frederique Dame. “Be obsessive and talk to customers as much as you ca
In the early stages of building a company, churn gives you quick feedback, which other metrics seldom do. Studying churn lets you run tests on your platform and get feedback in a few days or months.
Big problems make room for big returns, and while I don’t presume to have a silver bullet solution, here are three ways deep tech founders can ensure their time in pilot purgatory ends in a rollout.
Early-stage startups that hope to refine their value proposition and triangulate target users can't sit back and wait for customer intelligence to just roll in.
We interviewed three founders from our portfolio, all of whom ran discovery experiments to find their product-market fit at different stages of their company’s development.