DappRadar Research is the redesigned evolution of the old DappRadar Blog — transformed into a structured, data-driven insights hub built entirely on top of the platform’s existing architecture.

The product was developed within strict technical constraints: every component uses pre-existing DappRadar modules, patterns, and systems.

The Research Home acts as the central hub: a curated overview of featured insights, reports, recommended reading, and Learning Paths. It’s designed for discovery and guided onboarding.

Alongside it, the Topics section provides the “research mode” experience — a structured library with standard filtering (by category, chain, sector, tag) and full-text article search. This dual-navigation system supports both casual browsing (Home) and deep-dive exploration (Topics).

Notably, Learning Paths were implemented using the platform’s existing gamification engine, allowing users to progress through Web3 concepts with XP, achievements, and chapter-based learning.

Research now integrates deeply with the rest of the ecosystem: dapp profiles, rankings, narratives, topic hubs, and search. This turns content into an actionable, interconnected product rather than an isolated editorial feed.