Why does web 3 have the potential to make mobile gaming great again? Mobile gaming relies purely on math and this equation. LTV > CAC (Lifetime value > Customer Acquisition Cost) Right now one of the biggest issues with mobile gaming is that IDFA has made mobile

Agents on Solana paying agents on Aptos. Then using Stripe in the real world. @parthbl explains how @useTria neobanking stack + BestPath enable true agentic commerce, from on-chain to off-chain

Messari’s latest @GEODNET_ report shows 217% YoY revenue growth and 59% more GEOD burned QoQ. Still crazy undervalued As I said earlier, Helium hit a $5B FDV with less revenue than GEODNET has today Clip from a few months ago breaking it down 👇

Aethir/Akash are decentralizing the GPU market, Beamable is decentralizing CPU workloads Tldr; they have $4M ARR they're bringing onchain - serving legitimate web 2 businesses The end goal is to build Compute Capital markets, allowing for better/more liquid markets for compute

Tria pre-sale absolutely crushing it - already 12x oversubbed in a couple of hours Always happy to see our clients crushing it

Bitcoin has the liquidity. What it’s missing is composability. @ArchNtwrk is building the execution layer to fix that, turning BTC into the base layer for DeFi Check out our full interview with their CEO, @proofofmud Timestamps: 00:00 – What Arch Network is building and why

Crescendo partner @useTria absolutely crushing and taking over the TL Incredible to watch @parthbl cook here Excited for their upcoming sale on Nozomi/Legion which is starting tomorrow

Institutions want Bitcoin yield, but BTC doesn’t have staking or native DeFi. That’s where @ArchNtwrk comes in: programmable, yield-generating Bitcoin without wrapped assets or bridges. Quick clip from our convo w/ @proofofmud Full interview drops on Monday 👇

We’ve all seen Neo the home robot doing chores around the house. To do that right, Neo needs massive amounts of training data. How can Web3 help with that? Here’s @WeiNRN breaking it down 👇

Another Spaces today! We’ll be unpacking the newest narratives, check out the info below

“The data isn’t different, the business model is.” @VaderResearch breaks down how Web3 cuts user acquisition costs by turning data collection into a game, where speculation + incentives drive cheaper, faster growth. Clip from our Spaces 👇

Excited for what Codec is building and this article encapsulates what they are building Big Q4 coming up for them - @unmoyai has been heads down grinding and shipping product last few months What's cool about Codec is they're building essential tooling and middleware for

Everyone’s scaling model size. Few are scaling reasoning. @OpenServAI is building the framework that lets agents reason like developers, converting human prompts into executable JavaScript logic, powered by $SERV Full interview 👇 Time stamps: • 00:00 – What OpenServ is

Most AI agents still “think” in English, and that’s a problem. @OpenServAI and @open_founder are taking a different route: translating prompts into JavaScript so agents can reason in code, not language. Quick clip before the full interview drops tomorrow 👇

One of the best reasons to do a token sale pre-TGE is that you're creating commitment and consistency from people who commit capital to the pre-sale If you're oversubscribed - a lot of that extra capital has already "committed" mentally to buying your token, and will be looking

70% of the world’s economy happens in physical space. Without spatial intelligence, AI stays trapped in the cloud. @AukiNetwork is giving machines perception, memory, and coordination, so intelligence can finally act in the real world.

Through Posemesh, devices share vision, compute, and context locally. A headset can borrow GPU power from nearby phones; a robot can sell its camera data to update a city map. Each exchange is verified and rewarded, collaboration becomes economy.

Auki builds Posemesh, a shared spatial network that gives devices those missing senses. It lets drones, robots, and AR glasses see, think, and transact together, forming a live map of the world, no cloud, no central server.

Machines don’t have our five senses, they have layers. Network layers let them communicate, but not perceive or trade. Two key senses are missing: 🧭 Space – understanding the world 💱 Trade – exchanging value autonomously

Why can machines “think” so well, yet “act” so poorly? This imbalance is called Moravec’s Paradox, what’s easy for humans is hardest for machines.

We’ve built AIs that understand data, not space. @AukiNetwork’s posemesh is changing that: a decentralized spatial layer where robots, AR devices, and AI agents can see and reason about the world together. Recap thread of our latest Robotic Alpha piece 🧵 Full article ↓