Preparation for Next Cycle. This bear is fundamentally different. Nobody reads whitepapers anymore. Projects don't write them either. But now we have killer apps (perps, PMs) & revenue generators. Here's Ignas's take:

Robotics is crypto's most obvious blind spot. In 2016 it wasn't even a category investors tracked. Now it's the 2nd biggest in private markets, ahead of fintech, at $263B. Q1 alone did $16B across almost 500 deals. Here's what almost nobody in crypto is pricing in...all that capital is about to hit a wall the traditional financial stack can't get past. A robot can't open a bank account. It can't hold a legal identity, sign a contract, or get paid through ACH. Every rail in TradFi assumes a human sits behind the transaction. That works when a person signs for a few thousand machines. It breaks when millions of them start transacting on their own. Robotics routes through crypto because crypto is the only stack ever built for non-human actors: • Permissionless identity a machine can hold without a passport or a corporation • Programmable payments that settle machine to machine, no bank in the loop • Machine-readable ownership, so an asset can belong to something that isn't a person • Coordination between autonomous agents with no legal entity in the middle You could always make the argument Robotics doesn't need crypto. But I've always focused on following where the world's attention and hype lies, and Crypto tends to find a way of monetizing that mindshare. Where I'm looking Here's who's building those rails, grouped by the layer of the stack they're solving. Not a buy list btw...just a watchlist of which piece of the machine economy each one is going after. • Coordination. Virtuals (@virtuals_io) runs the biggest AI agent ecosystem and is now pushing those agents into the physical world. Its Eastworld robotics track covers teleop data, simulation, and real robot deployment. 50k+ agents recently got access to 430+ tokenized equities through Ondo / Treasures. • Location. Robots are useless without precise positioning, and GEODNET (@GEODNET) supplies it. 21k+ stations across 150+ countries, roughly $6.7M in annualized revenue and $5.3M in annualized holder revenue through buybacks and burns. • Identity and payments. Fabric (@FabricFND) handles the backend: machine identity, wallets, payments, and task coordination. Plumbing for a world where machines transact onchain without a human in the loop. • Telemetry. IoTeX (@iotex_io) has been grinding on DePIN and machine data for years. Device identity, verifiable offchain compute, real-world machine data. Not flashy, but it's what matters when robots need telemetry anyone can trust. • Spatial. Auki (@AukiLabs) is building Posemesh, a spatial awareness network that helps robots, smart glasses, and other devices understand the physical spaces around them. • Ownership. xMAQUINA (@xmaquina) wraps physical AI exposure in a DAO. Fractional machine ownership and robotics deals that normally sit behind VC rounds, backed by an $18M treasury with $7.6M set aside for robotics investments. • Simulation. Strike (@StrikeRobot_ai) works on humanoid autonomy and sim-to-real training. They recently rebuilt a real Eastworlds lab inside a simulation to test whether behaviors trained in sim survive contact with the real world. • Training data. Caspius (@caspius_ai) is after embodied AI data. Robots learn from real-world task footage, and Caspius just hit an ATH in footage contributed while adding NFT/account pairing. • Tooling. Roba (@Roba_Labs) wants to make robotics easier to build around. No-code tools, simulation, robot templates, a creator marketplace, and compute for training and inference. The catch I'm not going to pretend this is a rotation you front-run next week. Most of these are early, thinly traded, and completely dependent on physical AI actually scaling. If robots stall, these rails don't matter yet. But the capital is already moving, and it's moving toward a category that structurally needs crypto rails to work. I'd rather map this corner early than chase it once it's obvious.

ETH has 38.6M staked. SOL has 426.3M actively staked (around 68% of supply). Bitcoin is a $1.6T asset and still doesn’t have a clean self-custodial yield layer. That’s the gap @Stacks is filling. Most BTC yield products ask you to trust someone the second yield enters the chat. You wrap it, bridge it, hand it to a custodian, & pray nothing breaks. Stacks is taking a different route: • Keep BTC on Bitcoin L1 • Keep your own keys • Earn BTC-denominated yield • No wrapping or custody handoff The new design introduces protocol bonds where BTC and STX are paired together, reserve buffers to smooth rewards, and a structure built more for long-term BTC capital than short-term liquidity farming. Stacks’ existing PoX system has already distributed 4,200+ BTC since January 2021. The whitepaper extends that engine so BTC becomes the yield-bearing asset, instead of STX being the only path in. Bootstrap targets are pretty clear: 3,000 BTC initial capacity, 5% minimum STX ratio, and a 3% BTC APY target. The bigger bet is really simple. ETH and SOL became productive assets through staking. Stacks thinks BTC eventually moves that way too, just without compromising on custody. If they’re right, BTC-native yield is a way bigger market than people think. Pleased to partner with @Stacks on this announcement.