S3 $PROS just landed. checked my wallet and it’s sitting there. no soon, no extra steps. @NewSightHQ x @pharos_network actually paid out. if you verified for Tradathon S3, go look now. if you sat it out, S4 week 1 is wrapping today. don’t do that twice.

AI agents don’t need another dashboard. they need rails to do business. hire an agent. lock the money in escrow. get the work done. challenge if it fails. build reputation every time. all on chain. that’s the part people are sleeping on with @termix_ai the future isn’t agents talking to each other. it’s agents paying each other.

Why build millions of new sensors when millions of them already sit in people’s pockets? that’s the interesting part of @vangrid_io your smartphone already has the camera, GPS, sensors and compute. Vangrid turns those existing devices into distributed sensing nodes, capturing real-world data and pushing it through reconstruction + verification. no new hardware supply chain. no extra device to manufacture. no waiting for deployment. just phones becoming infrastructure. and that data can become the spatial layer for Physical AI, robotics and autonomous systems. the phone isn’t the product. it’s the sensor.

Day 3 on @PlayOnMint and still no Bear. but honestly, the free mint isn’t what’s stuck in my head. it’s the one Bear rule. you can stack Bears for raffles, burn $MNTD for levels, do whatever. but only ONE Bear gets linked to your MINT Status. so yeah, your first Bear actually matters. i almost rushed Reputation just to mint. then thought twice. why mint five before knowing which one deserves the Status slot? that’s what makes @PlayOnMint interesting. not just casino or sportsbook. sports, esports, crypto, culture take a position on what you already follow and get rewarded when your read is right. less watching. more playing. $50K $MNTD + GTD WL spots are also up with @NucleusCodes first Bear straight into Status or mint extras and decide later?

This is the rare referral that doesn’t die after one signup. You invite someone during Tradathon S4, they actually trade and you keep getting a cut of their fees for 30 days. Not share my link and hope. They trade, you earn. If you’ve been sitting on a NewSight link, this is the week to use it. @NewSightHQ

A dollar in escrow for a custom 3D foil card you can tilt in the browser is such a stupid small job that it almost feels like a joke. that’s why it works. one sentence in. card, source layers, high res renders out. usually under an hour. money sits on-chain the whole time, 2 day window to challenge. the product is cool. the point is the rails don’t care if the job is $1 or $10k. going to throw a sentence at just to see what comes back. @termix_ai

Good morning CT. At first, I thought the free mint was the cute part of MintABear. Then I looked at what happens after you actually hold one. There are 4,444 Bears, but the royalty system is what really caught my attention. When MintABear NFTs are traded on the secondary market, holders can participate in the royalty rewards generated from those trades. The rewards are paid in both ETH and $MNTD. And this is where the Bear’s level becomes important. You can level up your Bear from Level 1 to Level 5 by burning $MNTD. A higher-level Bear can receive a larger share of the royalty rewards because its royalty weighting is higher. If you hold multiple Bears, their royalty participation can also be combined. So the Bear you own isn’t just about the artwork. Its level and how many Bears you hold can affect your participation in the royalty system. That makes MintABear feel more like an ecosystem asset than just another PFP. Would you care more about an NFT if its utility continued after the mint? @PlayOnMint

Good morning CT. Physical AI doesn’t just need better models. It needs better data. That’s where @vangrid_io gets interesting. Vangrid turns everyday smartphones into a distributed 3D sensing network: → Real world locations captured on phones → Enterprise driven bounties → Video → 3D spatial data → Privacy handled at the edge → Data proofs verified on Base + EAS → USDC payouts after validation And the network is already moving: 100K+ validated captures 1,300+ attestations $9M raised The bigger idea: Real world data → AI → Enterprise demand → Contributor rewards → More data. Not just another DePIN narrative. Vangrid is building the spatial data layer Physical AI could depend on.

Earth Rover Mini+ spotted in-the-wild with @Meta Muse on board, building its own perception-to-action stack 🤯 Muse was told to find a black ball. So it installed PyTorch + Depth Anything itself, estimated the distance, then drove the rover. Agentic robotics is getting real.

Grounded API solves a big bottleneck in robot learning: turning raw egocentric video into something usable for policy training. We're excited to have it part of the RoboCap hardware stack, so buyers get: > metric 3D hand tracking > sub-centimeter depth at manipulation range > SOTA SLAM trajectories Follow @GroundedSI and comment below for an exclusive launch discount code for the hardware/API bundle.

Two days after Arc mainnet and people are already asking if it can take Robinhood’s lead. That’s how fast this race is moving. Distribution got us here. Infrastructure decides who stays. Worth hearing both sides tomorrow at 14:00 UTC. @NewSightHQ

S4 isn’t who can print the most volume. Trade what you know. Hold to settlement. Two weekly boards + Points for showing up + a first-trade lucky draw. Article below. @NewSightHQ

440K+ agents already registered on That’s not just a number. ERC-8004 is slowly becoming a real coordination layer for agents identities, services, jobs and onchain settlement all coming together. The agent economy is getting real. @termix_ai

Most people will farm @PlayOnMint by posting more. That’s probably the wrong approach. The campaign has 2 separate paths: Reputation → Wallet history → On-chain activity → NFT portfolio → X posts don’t count Contribution → Quality X content → Genuine engagement → Authenticity And the limits are strict: → 1 tweet/day → 7/week → Quality > quantity Top 300 contributors share $50K in token rewards, with TGE still TBA and 50% unlocked at TGE. There’s also MintABear: 4,444 NFTs + a free mint on Robinhood. Plus, @NucleusCodes is bringing more attention to the Reputation leaderboard, with the top 1,000 eligible for WL. Two paths. Different strategies. Don’t farm harder. Understand the system. Join:

GM CT fam, Happy Friday. Been digging a bit more into @vangrid_io lately. What caught my attention isn’t just more sensors everywhere. It’s the idea of using devices we already carry to help AI understand the physical world. Think about it: → Smartphones as distributed sensors → Real-world data being captured → Verified onchain → Data provenance → Settlements on Base And the scale is kinda crazy. There are billions of smartphones out there. Vangrid has already mentioned 100K+ verified captures, so this isn’t just a cool concept sitting on paper. But imo, the real test comes later. How useful is all this data for Physical AI and world models? Getting the data is one thing. Getting machines to actually trust and use it is another. That’s the part I’m watching with @vangrid_io Could decentralized perception become a major data layer for autonomous systems? Let’s see where this goes.

New campaign just dropped on @PlayOnMint Two leaderboards. Two ways to earn: → Contribution: $50K $MNTD pool for the top 300 → Reputation: 1,170 MintABear spots up for grabs Create, contribute, stay active, build your rep. Starts today at 4 PM UTC / 10 PM BDT. If you’re already into MINT, MintABear or $MNTD this one’s worth checking out.

This afternoon I took another look at The numbers caught my attention: around $21.42M in transactions, 409K orders, and 440K Agents. What interests me now isn’t really the Agent count. It’s the order flow. With the average order sitting around $52, a 2% fee is only a little over $1 per order. At this price point, keeping fees reasonable matters if you want people to keep using the platform. That’s what makes @termix_ai interesting to me. The model is pretty simple: accept the quote, lock USDC/USDT in escrow, complete the work, then release payment. And if an order doesn’t complete, that 2% fee isn’t collected. So I’m watching one thing more closely now: Can the number of completed orders keep growing? Because with small-ticket orders like these, the real impact of a 2% fee comes from consistent volume, not a huge fee on each individual transaction. @termix_ai

I find @agenticscredit interesting for a simple reason: it’s not trying to tell you which agent will make the most money. It’s focused on measuring how an agent actually behaves. Things like consistency, drawdown, longevity, and win rate can be combined into one performance signal based on real trading activity. The idea I like most is pretty straightforward: onchain activity → measurable behavior → better performance data To me, the bigger opportunity isn’t predicting returns. It’s creating a verifiable reputation layer for AI agents based on what they actually do. That infrastructure side is what makes Agentics worth watching.

There's a pretty interesting idea behind @vangrid_io Usually, AI infrastructure starts with expensive hardware and then builds the software around it. Vangrid flips that model. The sensor is already in people's pockets. If smartphones can capture useful spatial data, you don't need to deploy dedicated hardware everywhere just to understand the physical world. Of course, that creates a different set of problems: incentives, data quality, privacy, verification, and figuring out how to aggregate everything reliably. But I think that's an interesting tradeoff. Dedicated hardware can give you consistency, but scaling it is expensive and slow. A network powered by everyday devices is naturally messier, yet it could scale much faster. The important part isn't really the camera. It's the coordination layer that makes all those individual observations useful, verifiable, and connected. That's what makes @vangrid_io interesting to me.

1/ Better robot models come from better data. That takes two things: hardware that captures it fully, and tooling that turns it into training signal. We built the first. Today, @GroundedSI launches the second: Grounded API. Access both hardware + API ↓