WOMP price

Unpopular opinion: TPS isn’t the benchmark anymore. Data is. @jump_ just reminded us why they’re still one of the most dangerous players in crypto.. Their first product since returning is.. Not with $SOL. Not with $ETH. It’s with $APT... Together they’re launching @shelbyserves a hot, decentralized data layer to stream, serve, and monetize real-time data. ➱ This could be a new design primitive for modern L1s. Most L1s obsessed over TPS, then offloaded the data layer to cold, static systems. But the current internet economy doesn’t work on cold data. It needs live, monetizable streams: - AI needs real-time input for inference + training - DePIN needs constant sensor/geo feeds - Creators want DRM + pay-per-view natively baked in Even if your chain pushes 1M TPS.. if the data’s not priced or served in real time, it’s borderline useless for modern apps. Shelby flips the stack. It turns data into an active, monetizable asset class.. priced dynamically, streamed instantly, and composable by design. Which positions $APT in a very unique way: - Vertical scale: High TPS, fast finality, cheap fees - Native stablecoin rails - Now horizontal scale with Shelby powering real-time data as capital Feels like they’re building the first Global Trading Engine where tokens, payments, and live data move with the same speed as information itself. And while the rest of CT is stuck debating modular vs monolithic, $APT is quietly building what the next-gen internet actually needs. Let’s also not forget who’s behind this: Jump’s fingerprints are on $Pyth, $W, Firedancer, Double Zero and now Shelby. That’s a blueprint!

🧑‍💻 Here are crypto's top Solana ecosystem projects by development. Directional indicators represent each project's ranking rise or fall since last month: ➡️ 1) @solana $SOL 🥇 📈 2) @wormholefdn $W 🥈 📉 3) @pythnetwork $PYTH 🥉 📈 4) @driftprotocol $DRIFT 📈 5) @neonlabsorg $NEON 📈 6) @jito_sol $JTO 📈 7) @ionet $IO 📉 8) @helium $IOT 📈 9) @metaplex $MPLX 📉 10) @swarms_corp $SWARMS 📖 Read about @santimentfeed's methodology for covering development activity for each project, objectively, using enhanced github event data:

Turns out inventing a protocol that just pushes capital trivially around an ecosystem is not actually worth a crazy amount of money, especially when there are six dozen others who do the same thing. But some people can't learn through reason, they only learn through loss.