🐧 Daniel Garcia

You either take the risk or end up working for someone who did. Worst case scenario: you learn. Best case scenario: it changes your whole life and trajectory. Playing it safe never built anything worth remembering.

This is how they sell Chinese cars in the Philippines. The letters are like invading my screen! Perhaps this is also how robots should be sold? What do you think?

We got our first user! at therobotbay.com | Thanks for joining, things are pretty much WIP, but we're working hard to deploy as fast as we can. Be assured that we'll do our best to make your experience at the world's #1 robot marketplace! Thank you!

The future of home cleaning just landed in Shenzhen and it is walking right into your living room. 🤖🏠 @XSquareRobot and 58.com officially launched China’s first robot home service, moving embodied AI from the lab to your front door. When you book a cleaning on the 58.com app, a professional cleaner now shows up with an X Square robot partner to tag team the house. The human handles the tricky stuff that needs real judgment while the robot takes over repetitive tasks like wiping tables and tidying up surfaces. X Square is using an end to end foundation model which means the robot actually perceives and plans its own moves instead of just following a script. By testing in the messy reality of a real home, they are proving that if a robot can master a living room, it can handle almost any physical space. This pilot is part of a massive push to turn these machines into reliable partners that can actually assist in our daily lives.

Venture capital, hiring, sales all run on the same thing. Who you know.

Builders, tinkerers, makers... may I have your attention, please?

@RealProductGirl Thank you ma'am! Appreciate it,

@dannybuntu HOLY CRAP! You definitely get a follow. My goodness man! I gotta know more...

I NEED my feed full of builders. What are you working on right now? I don't care if it's a startup or a weekend side project. If you're building something, I want you on my timeline. Reply and let's connect. 👇

In robotics, one unconventional benchmark is the: 10×–100× capability-per-dollar advantage It's the "what can it do? and the how much does it cost for it to do it" - vs - "how much does it cost a human to do it?" computation

$300,000 fortune.com/2026/03/17/rob…

It's happening: Humanoid Robots are officially joining house cleaning crews in real homes🤖🧹 X Square Robot just teamed up with 58.com (China’s go-to for home services) to launch a trial in Shenzhen: humanoid cleaning robots that come to your door. book through the app:sessions are 3 hours each. But they’re not replacing human cleaners. It’s true teamwork: >The human pro handles chatting with you, figuring out tricky spots, and doing the deep, detailed cleaning. >The robot acts as the perfect sidekick ,mainly tackling the living room chaos: picking up scattered shoes, toys, fruit peels, bagging trash, tying up garbage bags, and just making things look tidy again. This is a wheeled humanoid with dual arms, powered by X Square’s WALL-A VLA model + world model. It cruises around messy, real-life living rooms,lifting its body, coordinating grippers,dealing with total disorder like a champ. It’s genuine, unpredictable home mess,the kind of chaos that really tests a robot’s real-time seeing, predicting, deciding, moving, and adapting skills. Shenzhen is first,more cities coming soon.

The production value of Sharpa's marketing content is top tier. Their ascent is pretty crazy for a company that's only like 18 months old (if that). Sharpa's founders (Li Yifan, Sun Kai, and Xiang Shaoqing) previously founded the leading Chinese LiDAR firm Hesai Technology $HSAI, which is publicly traded in valued at around $4.5B. Sharpa is headquartered in Singapore with manufacturing operations in Shanghai. I wouldn't be surprised if Meta ends up acquiring it for a crazy amount like they did Manus.

AI is learning to think. Robots are learning to act. The future? Physical intelligence in motion 🤖⚡ #NVIDIA #Robotics #AI

If you're looking to join a startup, you should know that you’re not there to learn. You’re there to be useful and learning is a side effect. No one is coming to train you. You've to figure it out. If you need permission to do things, you’re already too slow. If you see a problem and walk past it, you just accepted mediocrity. If you’re not embarrassed by how much you don’t know, you’re too slow. If you’re replaceable, you didn’t push hard enough. The best people make themselves impossible to ignore.

Word to startup founders. Wise words

@Brent_Fulfer Thanks for the wise words. I'll keep this in mind.

Founders who raise on Zoom alone don't raise. When I was raising my first fund I lived in San Diego. I flew to Dubai. Switzerland. Israel. New York. Then moved to Dubai for a month. Not because I wanted to. Because you cannot raise money on Zoom calls alone. The founders I meet who can't raise have one thing in common. They're pitching from their bedroom. Sending decks. Booking Zoom calls. Following up on emails. And wondering why nobody writes the check. Investors back people before they back products. And they decide if they back you in the first 10 minutes of being in the same room. Not on a 30 minute video call where you're a face on a screen. The founders closing rounds in 2026 are on planes. They're at @consensus2026. @EthCC. @ParisBlockWeek. @token2049. They're having dinner with the right people. They're doing the uncomfortable thing most founders won't do. Get out of your house!!!

GGII, a Chinese robotics research firm, just put out a notably optimistic, data-heavy take on how quickly humanoids are moving toward commercialization. Here are some of its key claims: GGII says average unit cost fell to 100,000 yuan (~$14,300) in Q1 2026, down from 150,000 yuan (~$21,400) in 2025, while the average payback period shortened to 12 months, versus 18 months in 2025 and 48 months in 2023. There is also a price war. In March, UBTech reportedly cut its industrial humanoid to 128,000 yuan (~$18,300), Fourier launched the GR-3 at 115,000 yuan (~$16,400), and Unitree priced the G1 at 99,000 yuan (~$14,100), making it the first major model to break below 100,000 yuan (~$14,300). GGII frames 12 months as an important threshold. They quote a manufacturing CFO saying traditional automation usually pays back in 18-24 months, so if humanoids can reliably stay under 12 months, they become much easier to justify as capex. GGII projects 80,000 units shipped in 2026, up 185% from 28,000 in 2025. The piece also says Q2 2026 shipments alone could exceed 25,000, and that full-year shipments could be revised up to 100,000 if prices keep falling. Factory deployments are the main driver of that demand. GGII says factory use cases will account for 72% of 2026 demand, up from 65% in 2025, with the remaining 28% coming from logistics, security, and commercial services. One of the most concrete anecdotes is a factory case study. A Chinese auto-parts company reportedly bought 50 humanoid robots in 2025 for welding and assembly, invested 7.5 million yuan (~$1.07 million), then after 12 months had saved 6.8 million yuan (~$971,000) in labor costs, improved yield by 3.2 percentage points, and reached a combined payback period of 11.5 months. The market is already looking fairly concentrated. UBTech, Fourier, and Unitree together hold 70% share, with UBTech at 30% and 8,500 units, Fourier at 22% and 6,200 units, and Unitree at 18% and 5,100 units. Geographically, the Yangtze River Delta and Pearl River Delta still dominate, accounting for 68% of the market. But the piece says Sichuan, Hubei, and Anhui each saw more than 200% year-on-year growth, driven by auto and electronics clusters. The report is bullish, but it does acknowledge meaningful technical limits. Fault rates in unstructured environments are still 8-12%, versus 2-3% for conventional industrial robots. It also suggests current prices are not yet low enough for true mass adoption. According to the GGII survey cited, 65% of surveyed companies see 50,000-80,000 yuan (~$7,100-$11,400) as the real psychological price band for large-scale adoption. The labor implications are large if these shipment numbers prove right. The piece estimates each humanoid could replace 1.5-2 assembly-line jobs, implying that 80,000 shipments could theoretically affect 120,000-160,000 jobs. On competition, GGII notes that Tesla, Xiaomi, and Huawei are all looming in the background. The piece says Tesla Optimus is expected to begin small-batch deliveries in H2 2026, while Xiaomi and Huawei have announced humanoid strategies but remain pre-deployment.

@hthieblot Robots are coming, whether people believe it or not.

One of the loneliest and most brutal stretches as a founder is holding unbreakable belief that you'll make it... when you have literally nothing to show for it. 2–4 years of: - Zero traction - Telling people "this is going to be big" and feeling like a fraud the second the words leave your mouth - Shrinking bank account - Friends buying houses / getting promotions while you explain to your mom why you still don't have a "real job" The imposter voice gets loudest at 3 AM: "Am I delusional?" "Can I actually pull this off?" "Am I really built for this?" Everyone around you might doubt it quietly, but the real killer is when you start doubting yourself. The truth: Yes, you can. Yes, you are that guy. But belief has to come before proof. You have to choose to back yourself hard when the scoreboard says zero, because that's exactly when most people quit. Those empty years aren't wasted. They're forging the version of you that can handle the win when it finally hits. Keep showing up. Stay obsessed. Never ever give up. The breakthrough comes after the doubt has tried to kill you a hundred times.

Gasoline is now upwards of Php100 in the Philippines. If this lasts longer, there will be covid like effects on the economy. IF even longer, possibly brownouts.