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Your Web3 Users Keep Reading, But They Still Don't Know What To Do Next
You can have a Web3 page that people actually read and still lose them before anything useful happens. They scroll through the homepage, open the docs, skim the token model, and maybe even check the roadmap because nothing looks obviously confusing from the outside. The content is there, the effort is clear, and the product doesn't feel careless. The problem starts when reading becomes the activity instead of the bridge into action. People keep consuming information, but they

Michael Paulyn
5 days ago4 min read


People Keep Comparing Your Web3 Product To The Wrong Thing (And It's Costing You More Than You Think)
You spend months building a protocol to solve a specific problem, and then you watch people compare it to products it was never trying to compete with in the first place. Someone compares it to a centralized platform. Someone else compares it to another blockchain that solves a completely different problem. Before long, you're answering questions based on assumptions that were never part of the original vision. At first, it feels like a small misunderstanding that can be fixe

Michael Paulyn
Jul 13 min read


The More Your Web3 Team Explains The Product, The Harder It Seems To Use (Why That Happens)
There comes a point when a Web3 team starts to feel that the market just needs more education. The protocol is solid, the documentation is growing, and every new question seems like proof that another explanation is needed. So, more content gets created, more examples get added, and more effort goes into helping people understand the system. The strange part is that sometimes the product starts feeling more complicated as those explanations expand. When Every Question Creates

Michael Paulyn
Jun 173 min read


Everyone Understands Your Token Model, Yet Adoption Still Feels Slow (What You're Missing)
You spend months refining the token model because it sits at the center of the ecosystem's functioning. The incentives need to align, participation needs to make sense, and every decision has to support the long-term health of the network. Eventually, you reach a point where the model feels coherent enough to explain with confidence. People read it, ask good questions, and generally agree that it makes sense. The strange part is that adoption often moves more slowly than expe

Michael Paulyn
Jun 33 min read
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