Content Engine
Why Radar ships both short blocks and long-form guides
Short blocks answer quick questions on key pages. Long-form posts give each major discovery concept a fuller explanation and a clearer research trail.
Back to overviewModern dapp discovery around new launches, trending protocols, filtered opportunities, and a research blog that adds context to the Radar surface.
Blog
A SQLite-backed editorial layer with evergreen discovery guides plus automatically refreshed Radar digests that keep the research surface active and useful.
Content Engine
Short blocks answer quick questions on key pages. Long-form posts give each major discovery concept a fuller explanation and a clearer research trail.
Back to overviewPublishing Cadence
Evergreen guides cover due diligence and comparison frameworks. Automated posts add a fresh layer around current trending protocols like Target Zone, Pulse Lock, Ample.
See trending
A Monad derivatives comparison framework for separating incentive volume from durable trader demand.
A Monad derivatives watchlist focused on liquidation design, early trader retention, and whether launch-week volume can survive.
A Base RWA watchlist focused on collateral clarity, distribution paths, and whether tokenized assets are usable beyond headlines.
A due-diligence framework for comparing Bitcoin L2 bridges before deposit growth hides real trust and exit risk.
A practical Radar watchlist for Bitcoin L2 bridges, focused on exits, custody assumptions, and real liquidity paths.
A better MegaETH DEX comparison asks whether launch-week volume can become durable order flow, not just whether the first chart looked exciting.
MegaETH DEX activity is still early, which makes quality filtering more important than volume gawking. This watchlist focuses on routing depth and repeat flow.
A better Ethereum gaming comparison asks why players come back, not just how loud the brand or token moment feels.
Gaming surfaces on Ethereum can look alive because of brand weight alone. This watchlist focuses on session loops, retention clues, and whether users are likely to return.