L2L2 retweeted
Yeah I’d say it’s a good chance @machinedotfun drives codec back above ATH
It’s a lot harder to fake sensor data from real robots than it is to make Claude or Codex copy a DeFi protocol, so the bet is that we see some real cool projects on the launchpad
Penny-stock-robotics szn
Why would the next Unitree raise on @machinedotfun instead of taking VC money?
That's the question that matters here, and the honest answer should worry a few funds.
Why?
Because private rounds are structurally broken for builders.
Vesting overhangs, unlock schedules, price action dictated by funds taking profit instead of what teams ship.
Add to that crypto VCs are deploying way less than they used to, and the fact that most investors grew up underwriting software and simply don't know how to price hardware.
What's left is a generation of hardware founders with no good path to access capital.
And the alternative already has a proof of concept: @codecopenflow itself.
No VCs, no pedigree. Launched a token, funded the entire build from trading fees, and is now signing first clients and generating revenue.
@machinedotfun (powered by @peaq and the Codec) is what turns that approach into a repeatable venue for hardware founders.
Permissionless to launch, curated across all other angles.
Or more specifically:
- Codec's SimArena for simulation proof
- Peaq OS to track live machines
- Ignition for supply transparency
- The Foundry for serious builders (first accelerator cohort already selected, launches coming in the next weeks)
However, it's the flywheel that I care most about:
Platform fees flow back into everything that compounds the ecosystem:
- Builder support, down to manufacturing and hardware distribution
- Trader rewards, paid in tokenized robotics exposure (NVIDIA, Figure AI, Tesla)
- Open market buybacks of both ethereum:0x1eef208926667594e5136e89d0e9dd6907959197 and solana:69LjZUUzxj3Cb3Fxeo1X4QpYEQTboApkhXTysPpbpump
Real usage, real fees, real flows into both tokens.
And sure, still many of these launches will fail. That's how venture works.
But "invest in the next Unitree before it becomes a company" was always the pitch.
Now the venue, the rails and the incentives all exist.
Adjust your targets for solana:69LjZUUzxj3Cb3Fxeo1X4QpYEQTboApkhXTysPpbpump and ethereum:0x1eef208926667594e5136e89d0e9dd6907959197.
We're going much higher.
NFA tho. DYOR.
L2L2 retweeted
We keep getting asked what you can launch on machine.fun.
Anything. It's an open platform, but it's designed for people making hardware: robots, drones, wearables, gaming, DePIN, the software that runs them, the data that trains them.
Check the table for the full breakdown of the categories we're interested in.
You don't need a token to start. Put the project up, prove the tech, tokenize when you're ready and raise from internet capital markets to keep building, in public.
The platform checks it for you:
- SimArena → simulation proof
- peaq → machine proof
- Ignition → supply proof
- Wallets & socials → account proof
This is deep
I don’t think many of you understand what today’s release of Simarena by @codecopenflow means.
Here is my honest take.
I watched my daughters build with DUPLOS the other day.
Towers 1.5x their size. Building physical things is wired into us.
But for years, only the ones with hundreds of thousands of budgets got to build robots and machines. Testing them in simulation alone costs thousands.
Not anymore.
A teenager in Colombia can now simulate a service robot.
A teenager in a suburb of Nairobi can design a cleaning robot.
All from a browser tab. Zero install pain. Zero GPU spend.
This is what democratization looks like.
Big congrats to @unmoyai and the entire team at @codecopenflow.
You are turning hardware entrepreneurship from a gated privilege into a birthright one step at a time.
For everyone curious about building a machine that serves the world - the on-ramp just got frictionless.
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L2L2 retweeted
Robots don't have to learn on the job anymore
@codecopenflow is launching SimArena V1, where robots train in digital twins of real spaces like malls, warehouses, and restaurants, before they're deployed
No engineering team needed. Pick an environment, drop in a robot, train, all in browser
The team's joining peaq’s CBO @MartinElKhouri to break it down — don’t miss the stream
🗓 May 21, 1pm UTC
🔗 xitter.cf/i/broadcasts/1XxygmqVY…
Simarena will change the web3 robotic space forever.
added support for SONIC from nvidia inspired by @zhengyiluo demo, and a policy manager to handle multiple policies running in the same sim
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CEO of @theworldlabs replying to Codecflow's post:
$CODEC is definitely super coded.
L2L2 retweeted
Fun fact: in our @chainlink CRE collab, MechaShip (pre‑v1.0) already used ERC‑721 for agent IDs and a signed‑feedback flow good to see v1.0 now standardizes it
xitter.cf/codecopenflow/status/1…
Each time I dig deeper into robotics and training data management, I get more bullish on @codecopenflow.
$codec
Robotics requires massive multi-modal data & continuous fine-tuning
Bittensor (TAO) provides a market for intelligence, letting robots pay for the data they need
I've mapped a few of the subnets to where some of the subnets 'could' plug into the machine economy
This week, subnet tokens became tradable on Base & payment protocols (like x402) provide the infra for trillions of agentic micropayments
People keep asking what will agents + robots purchase? Well this is a stab at some of what they might be intrigued by
I don't think people realize the potential of what's to come with AI + permissionless payment rails
What other subnets are missing and could feed this whole new economy?
3
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L2L2 retweeted
The Chainlink Runtime Environment (CRE) is powering orchestration for secure and scalable agentic workflows to unlock next-gen applications using crypto & AI.
How 7 leading platforms are leveraging CRE for AI-powered workflows ↓
First, a quick primer on CRE:
CRE provides an all-in-one orchestration layer for building end-to-end institutional-grade smart contracts—smart contracts that are easily connected to external data, cross-chain enabled, compliance-ready, and privacy-preserving, which are able to securely interoperate across thousands of public and private blockchains, existing identity systems, and core financial infrastructure.
• x402 by @coinbase is now the first AI payments partner to enable agents to autonomously pay for CRE workflows. The Coinbase Developer Platform (CDP) gives AI agents access to crypto wallets to perform onchain actions and make programmatic payouts via x402.
• @SentientAGI is a partner AI lab building powerful open-source AI systems, including ROMA, OpenDeepSearch, and Sentient Chat. Sentient can leverage all Chainlink's data – Asset Prices, Macroeconomic data, and other real-world data and CRE capabilities like interop, payments, and consensus, which are then integrated into customized powerful AI agents. This enables AI to make smarter decisions based on onchain proofs and coordinate intelligence across Web3 and Web2 environments.
• @gizatechxyz adopted CRE as the orchestration layer for reading onchain events and triggering agent logic focused on stablecoin yield optimization for USD1, dynamically deploying the stablecoin from World Liberty Financial across DeFi to maximize yield. This enables Giza’s yield optimization products, Arma and Pulse, to execute yield strategies across both stablecoins and other blue-chip DeFi assets.
• Chaos Chain (@Ch40sChain) is integrating CRE the Chainlink Runtime Environment to provide a set of pre-checks for any payment flow. Agentic pre-checks can significantly decrease the number of third-party API calls, reduce latency, and enable businesses to trust agents with real value, allowing them to discover, collaborate, and pay each other via the x402 standard.
• @codecopenflow is integrating the Chainlink Runtime Environment (CRE) with its CodecFlow SDK (OPTR) to power MechaShip, a decentralized delivery network. CRE acts as the event-driven orchestration layer, automatically reacting to onchain DeliveryRequested events to discover available mechas (via ERC-8004), request quotes (via x402), and rank agents. OPTR enables the autonomous mechas to register, calculate dynamic pricing, and maintain real-time status via heartbeat monitoring.
• @ampli_inc is using the CRE for signing operations and powering its trusted execution environment to verify and authorize AI agent requests. The CRE enables agents to operate within guardrails and customizable policies that allow for compliant and secure operating environments.
• ElizaOS leverages the Chainlink Runtime Environment (CRE) via its Spartan agent to power AI-driven execution. This enables the agent to autonomously manage liquidity, execute cross-chain arbitrage, and monitor protocol risk using real-time, on-chain data.
Learn more about the Chainlink Runtime Environment—now live on mainnet for all developers:
blog.chain.link/chainlink-ru…
