Brothers, I’m basically numb from watching this round of AI narratives—project teams are all about ChatGPT and big models, but when it comes to actual data, everything is "coming soon."
Until last night, I stayed up late deciphering the technical document of @Fabric Foundation ; it kept me awake until three in the morning. This project has truly operationalized "robotic capital" with real data backing it up.
Let's get to the hard facts, so I don't get accused of being brainless:
1. Performance data is impressive
The Fabric decentralized matching engine is specifically designed for high-frequency trading by robots. Data from the testnet shows an average matching delay of 1.2 seconds and peak throughput of 3200 TPS. In comparison, traditional blockchains get stuck at dozens of TPS, making this data sufficient for robots to have smooth "conversations" without interruptions. The state synchronization time is compressed to complete final confirmation within 2 blocks—this speed allows machines to get paid immediately after finishing their work.
2. Landing is not just a dream
The most feared thing is that the project party's white paper is overly hyped, but the application is nonexistent. Fabric is already working on DePIN, and currently, the testnet has integrated 2300 shared charging piles, with an average daily task invocation of 12,000 times. What does this mean? In the future, when your robotic vacuum runs out of battery, it can find a charging pile to pay for itself without you having to take out your phone. The machine sustains itself; I'm familiar with this script— isn't it just the beginning of (The Matrix)?
What's even more exciting is the AI training market, where globally distributed computing nodes collaborate through Fabric, with the number of nodes exceeding 8000, and API call peaks reaching 500,000 times per day. Few can compete with these numbers in the entire Web3 + AI track.
3. The token model has something to it
It's not the pure PoS model that earns interest; it has created a proof of work for robots (PoRW). Robots earn $ROBO through work (running errands, charging, computing power), and LPs finance the purchase of physical robots by staking tokens through 'robot genesis', then just sit back and collect the wages from the robots.
Currently, there are 12,400 active nodes, with a task completion rate of 98.7%. This data is far more genuine than many artificially inflated nodes—robots don’t claim airdrops; they get paid only after completing their tasks. Moreover, each task receives an average of 15-20 independent quotes, making it difficult for robots to slack off.
4. Institutions are not fools
This round is led by Pantera Capital, with Coinbase Ventures, DCG, and Sequoia China also participating. In that round of sales on the Kaito platform, it was oversubscribed in just 5 hours. Institutions vote with their feet, which is more substantial than any KOL's shout-out. The total supply is 10 billion tokens, with a fixed supply and no inflation; this deflationary model is also considered rare in the AI sector.
Lastly, let’s speak plainly: in the current market, a project without data won’t last more than three days. Fabric has the backing of 3200 TPS, with 12,000 daily calls being made, and over 12k nodes running. The robots have already started working to earn $ROBO; we certainly can’t be outdone by robots, can we?
Anyway, I’ll charge in first as a salute; you guys do as you wish.#ROBO