Apple: announces iPhone! BlackBerry: we have it all, plus the keyboard!!

Spot on.. Shelby’s key metric = Total Value Unlocked.

AI is moving from generalized to specialized domains. Shelby is the perfect neutral hosting platform for domain specific AI data marketplaces. New utilities, new use cases => more value unlocked! Shelby serves, shelby unlocks!

Your best-spent two minutes this weekend. 👇👇

Top notch graphics, spot on explanation!! I am going to steal these two punchlines — “where performance isn't optional, it’s profitable.” “Shelby serves, Shelby earns”

Theo - t3.gg Sounds like Figma needs Shelby 👀

We are thrilled with developer interest in Shelby. Our DMs are flooded with creative ideas. Stay tuned to get your hands on the early version of the Shelby CLI and SDK.

This 👇🏼👇🏼

So much fun to join ¡BABA on SPOOKS 🔥 spaces.. Shared first time here.. Shelby devnet coming with Aptos Experience!

Want early access to Shelby CLI and SDK? Let us know what you want to build!!

Shelby protocol is shaping up fast, join us early and get served before others do!

While Shelby is read optimized, ensuring incentives for storage is critical for durability and availability. Data auditing is a key challenge in decentralized storage. A very smooth thread that breaks down the complexity into byte sized explanations.

Apparently, Shelby also pitches!

Aptos India juggernaut is coming for the world - you better be prepared! Congratulations Naresh | Aptos ! Big things ahead..

All signal, no noise. DEX at CEX performance. Powered by ultra high performance blockchain. Aptos Labs and Decibel has upped the ante!

Aptos Blocktime [Timeline] → December 23, 2024: 220ms → February 28, 2025: 180ms → March 20, 2025: 150ms → March 26, 2025: 130ms → June 12, 2025: 120ms → August 6, 2025: 110ms Aptos has reduced its blocktime by 50% in the last eight months.

Is speed of light fast enough for Aptos ? Nope - it will keep getting faster!

Healthcare data is potentially the highest value data as Ukashat.Cyber👽🌐 points out. Before Meta, I worked on building custom NLP for healthcare. I leant that the challenge was not in improving precision and recall of the model, but in accessing high quality data. In US,