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Hugging Face’s Microduck Robot Sells 10,000 Units At $399

by THEFUTURE.TEAM

A Viral Robot Success Story With Global Roots

A fast-selling new personal robot from Hugging Face’s French subsidiary Pollen Robotics is offering a clear reminder that even the most futuristic products still depend on deeply interconnected global supply chains. The colorful, duck-shaped Microduck is powered by a chip from Shanghai-listed Rockchip, which in turn uses technology licensed from British semiconductor company ARM.

Since its launch on Thursday, the robot has sold more than 10,000 units, according to the company, generating more than $4 million in revenue at a $399 price point. Strong demand has already pushed delivery timelines beyond the original Christmas 2026 estimate.

Why The Chip Inside Matters

Microduck’s hardware includes sensors, motors and on-device computing capabilities powered by Rockchip’s RK3566 processor. The chip reflects the layered nature of today’s hardware ecosystem: product design may originate in Europe or the United States, but key enabling technologies often come from Asia and the U.K.

Rockchip is a significant supplier for edge AI applications, according to Lian Jye Su, chief analyst at Omdia. Its chips are widely used in machine vision tasks such as object detection and image recognition. But Su said the company’s products are not built for the most demanding edge AI workloads because they lack the necessary compute resources.

That distinction matters as companies race to bring generative AI closer to the device itself. On-device computing can allow smartphones, robots and other electronics to run AI features more securely, without transmitting sensitive data to the cloud.

Rockchip’s Growth Reflects Rising Demand

The market opportunity is already visible in Rockchip’s financial results. Last month, the company reported a 40% year-over-year increase in operating revenue for the first half of the year to 2.88 billion yuan, or about $428 million. Net profit excluding one-time items rose by more than 60%.

In other words, the same industrial logic that supports smartphones and embedded systems is now extending into consumer robotics, where compact, efficient chips are becoming a competitive advantage.

A Consumer Product And A Development Platform

At 1.76 pounds, Microduck is positioned as both a toy and a development platform. Built on open-source software, it is designed to learn from virtual simulations and goal-directed instructions, making it attractive not only to consumers but also to developers experimenting with robotics applications.

The product is Hugging Face and Pollen Robotics’ second robot release. Pollen Robotics, which Hugging Face acquired last year, said its first robot sold more than 10,000 units after launching last spring.

Competitive Pressure Is Building

Microduck arrives amid a broader rush to commercialize personal robots at premium consumer price points. Startup Zeroth recently launched a child-sized humanoid robot for 8,888 yuan that claims similar simulation-learning capabilities and has recorded 247 pre-orders on JD.com in China. The company plans to unveil its open-source robotics system on Wednesday.

Elsewhere, Mondo Robotics’ Wall-E-style cameraman robot has attracted more than 80 times its initial $50,000 goal on Kickstarter ahead of the Sept. 6 deadline. Early-bird pricing starts at $549, with shipping expected to begin in October.

What The Surge Signals For Robotics

Microduck’s rapid sellout underscores a broader shift in consumer robotics: demand is no longer limited to industrial labs or enterprise pilots. Buyers are increasingly willing to pay for robots that combine personality, utility and developer-friendly software.

For now, the lesson is simple. The next wave of AI-enabled hardware may look delightfully localized, but under the hood it remains a global business.

Meta’s Muse Is Outpacing ChatGPT In Early Mobile Adoption, New Data Suggests

by THEFUTURE.TEAM

Meta’s new AI app, Muse, may be emerging as one of the company’s strongest consumer launches to date. Fresh estimates from market intelligence firm Apptopia suggest the app has outperformed ChatGPT in early mobile traction, at least in the U.S. and Canada.

According to Apptopia, Muse recorded more downloads in its first 12 days on the market than ChatGPT did during the comparable period after its mobile debut. The comparison, limited to the U.S. and Canada, puts Muse’s iOS downloads at 1.8 million versus 1.3 million for ChatGPT over the same initial window.

A Strong Early Start Across Platforms

In total, Muse has reached 2.8 million global installs in its first 12 days, according to the firm. The app’s momentum also appears to be holding. After debuting at No. 2 on the U.S. App Store, Muse has since climbed to No. 1, surpassing ChatGPT, according to reporting from Business Insider. Appfigures had previously estimated that Muse crossed 1 million downloads shortly after launch.

That early rise matters because app-store performance in the first days after launch often signals whether a product can sustain consumer attention beyond initial curiosity. In Meta’s case, the data suggests Muse is not simply benefiting from novelty; it is gaining ground quickly enough to challenge the category leader.

Daily Users Show Similar Momentum

Apptopia’s estimates point to another favorable comparison for Meta: daily usage. In the U.S. alone, Muse is said to have 642,000 daily active users, well above the 231,000 ChatGPT had at the same stage of its mobile rollout.

To make the comparison fairer, Apptopia also narrowed the analysis to iOS only, since ChatGPT launched on iPhone before expanding more broadly. Even under that tighter lens, Muse still comes out ahead, with 359,000 daily active users on iOS compared with ChatGPT’s earlier figure.

Why Meta Has An Advantage

Third-party estimates are not the same as internal company data, and Apptopia cannot see Meta’s proprietary numbers. Still, even directional data suggests Muse may be on track to become a meaningful consumer product for Meta.

That possibility is strengthened by Meta’s distribution advantage. The company has already demonstrated how powerful its ecosystem can be with Threads, which surpassed 500 million users after heavy promotion across Instagram and Facebook. Muse is likely to receive a similar boost, especially because it can connect across Facebook, Instagram, and WhatsApp.

Apptopia does not track Meta’s internal promotion strategy, but its data indicates that more than 95% of Muse users are also Facebook users, while 63% are Instagram users. That overlap underscores how effectively Meta can move users across its products when it chooses to prioritize a launch.

The Strategic Test For Meta

For Meta, the early signal from Muse is less about one app’s download count than about whether the company can turn its scale into durable AI adoption. The first test is attention. The harder one is retention.

If Muse can convert early downloads into habitual use, Meta may have found a new front door into its AI ambitions. If not, the app risks becoming another example of how easily mobile hype can spike before settling back down.

Meta, which was asked for comment, has not yet released public figures on Muse’s early adoption.

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