Web3 · Prediction markets
Cascade Markets
Cascade needed a live marketing surface that explained a prediction-market product without burying users in chain jargon.
The problem
Prior creative was either too generic or too technical. Traffic arrived from crypto-native channels but bounced when value was not obvious above the fold.
What we delivered
- Hero and narrative structure tuned for cold Web3 traffic
- Performance-first Next.js layout with restrained motion
- Component system for markets, stats, and trust modules
- Handoff documentation for internal content updates
Stack & team
Timeline: Multi-week brand + web sprint. Team: 2–3 (design + engineering).
Outcome
Live at cascade.markets with sub-2s perceived load and clear conversion path from landing to product entry.
Related capabilities
Straight answers
What did mxstermind build for Cascade Markets?
We delivered the public marketing site — positioning, UI, and front-end implementation — so Cascade could acquire users before deeper product education. The work focused on clarity, speed, and Web3-native trust signals rather than feature dumps.
Can mxstermind build similar Web3 landing pages?
Yes, when scope includes funded design and engineering milestones. Share your chain, compliance constraints, and analytics goals on Discord; we will map a brief similar to this case study.
Which blog posts relate to Cascade Markets?
Read how-we-built-cascade-markets-case-study and web3-branding-what-crypto-projects-get-wrong on the mxstermind blog for positioning and technical notes tied to this delivery.
Does Cascade use mxstermind for growth retainers?
Growth systems are scoped per client. Public case studies cover the shipped surface; ongoing SEO or paid architecture is discussed privately when outcomes and budget align.
Discuss similar scope
Reference this case study in Discord. We will map milestones to your outcome.
2 spots · Q2 2026 · Escrow-ready · Same-day replies on Discord