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Unitree Robotics' humanoid robot is displayed at the 14th China Information Technology Expo in Shenzhen, South China's Guangdong Province, on April 10, 2026. Photo: VCG
    Unitree Robotics' humanoid robot is displayed at the 14th China Information Technology Expo in Shenzhen, South China's Guangdong Province, on April 10, 2026. Photo: VCG
With just one day to go before Chinese humanoid robotics pioneer Unitree Robotics opens subscriptions for its initial public offering (IPO) on Shanghai's STAR Market, investor attention has extended far beyond the company itself, highlighting a broader capital-market rush into embodied intelligence as the sector moves from technological breakthroughs toward commercialization.
As of press time, discussions surrounding the IPO have pushed the topic to the top of trending lists across multiple stock trading platforms. The debate has focused on Unitree Robotics' disclosed short-term financial performance, as well as the potential opportunities for investors from China's policy push to include embodied intelligence and humanoid robots among key areas of medium- and long-term technology and industrial development.
Experts said the wave of IPOs among robotics companies, including Unitree Robotics, represents a shift that allows robot makers to engage more directly with public markets and investors. It also brings companies at different stages of development and pursuing different technological paths into a common valuation framework, promoting market comparisons and competition.
At the same time, the capital-market boom is likely to accelerate a shakeout, separating companies capable of building sustainable business models from those that struggle to turn technological advances into commercial returns.
On Thursday, Unitree Robotics released its announcement on the IPO of shares and listing on the STAR Market. According to the announcement, the offering price was set at 150.80 yuan per share, valuing the company at approximately 61 billion yuan ($9.04 billion) upon listing. 
Secondary-market professionals told the Global Times that demand for Unitree Robotics' IPO subscription could be extremely high, meaning the chances of individual investors securing shares are likely to be very limited.
Robotics is currently one of the few categories that can translate AI capabilities into tangible assets with relatively comparable valuation metrics, creating a unique advantage in valuation narratives. This scarcity is one of the key factors drawing the attention of both large and small investors, Tian Feng, former dean of SenseTime's Intelligence Industry Research Institute, told the Global Times on Sunday.
Unlike large language model companies, whose capabilities are often assessed through benchmarks and demonstrations that are difficult for ordinary secondary-market investors to directly evaluate, robots offer visible and verifiable evidence through tasks such as grasping, walking and dexterous manipulation, Tian said. This tangible demonstration of "embodied" intelligence naturally creates a valuation premium in market narratives, he added. 
Tian cautioned that extreme subscription figures, such as RobotHoenix's 14,855-fold oversubscription on its listing and LDRobot's 127.62 percent first-day share price surge, were driven by a combination of institutional advantages and sector scarcity rather than serving as evidence of the commercial validation of robotics products. He noted that there is no direct correlation between oversubscription multiples and the certainty of product deliveries or commercialization prospects. 
Beyond Unitree Robotics, a broader financing boom in China's robotics industry has also gained significant momentum, with the Hong Kong Stock Exchange emerging as the main battleground for this latest IPO wave.
Citing industry data provider Wind, the China STAR Market reported that five robotics-related companies have gone public in Hong Kong so far in 2026. Meanwhile, 51 companies with businesses spanning industrial robots, service robots and embodied intelligence solutions are currently in the IPO pipeline in Hong Kong, accounting for 12.7 percent of all companies awaiting listing.
According to data from IT industry research platform ITjuzi.com, financing in China's embodied intelligence sector totaled 93.5 billion yuan in the first half of 2026, surpassing 90 billion yuan and marking a fivefold increase from the same period in 2025. The number of financing deals reached 322, up 137 percent year-on-year. 
Tian said that while policy support and clearer commercialization pathways are boosting confidence in the sector, the latest IPO wave should also be viewed through a more cautious lens. The surge comes partly as the primary market's ability to continue funding embodied intelligence companies faces limits, prompting firms to seek new liquidity channels through public markets, rather than solely reflecting a dramatic leap in industrial maturity.
As emerging technology sectors increasingly become the focus of public attention, more objective and professional analysis is also needed to help investors assess companies' technological capabilities, commercialization prospects and long-term value, rather than simply following market enthusiasm, Chinese experts noted.
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     阿里云优惠券 先领券再下单        话说咱们做拼多多的商家,新开了一家店铺,噼里啪啦的上完一通链接,开车推广之后。这个店铺未来的结局却只有2种:成功起店或者最终闭店。

B |     什么是成功起店呢?要么有单量了,要么有利润了,店铺有盼头了就是成功起店了。而最终闭店的呢,无一例外,没单或者不赚钱,最终选择了闭店,眼不见心不烦。

C |     我做拼多多这么多年,接手过数不清的店铺,做起来的不少,没做起来的也有那么一些。俗话说:前事不忘,后事之师。    不管是做起来的店铺,还是没做起来的店铺,但凡有了最终结果,咱都会做以分析总结,比如这个店做高价做起来了,怎么做起来的。这个店卖价那么低了,竟然没做起来,是什么原因导致的。    正是因为有了这些经验教训,我做代运营,每当接手一个新店时,就会自动的将其与过去接的店铺做匹配,看这个店属于哪一类,应该采用哪种店铺模型能做起来。今天我就把我成功起店的几种模型,也就是底层逻辑,简单的跟大家分享一下。    01    不同店铺不同的起店模型    以我目前接的店铺为例,咱们所有做拼多多的,不管是厂家还是代理,不管是自研还是贴牌,所上的链接可以分为8种类型:品牌和白牌的高客单高利润,高客单低利润,低客单高利润,低客单低利润。    这里高客单和低客单是按产品卖价来分的,我认为的高客单就是单价在七八十以上的,剩下的就是低客单。而同样的客单价为什么会有高利润和低利润呢?比如高客单的低利润怎么解释?因为我做过哇。成本90的品,我卖价100块,这不就是低利润吗?    链接本身的4种类型,加上品牌与白牌的区分,衍生成8种类型,就会使得我们在起店的过程中,由于起店模型不匹配,导致起店不成功。    我举几个最近接的产品为例:一个品牌防晒霜,一个白牌香水,一个源头水果,一个品牌3C数码。品牌防晒霜属于低客单,白牌香水属于低客单,源头水果也是低客单,3C数码高客单。

D | 3个低客单,1个高客单,但是利润就不一样了。利润有多少呢?这个就是我来定的了。    因为定价决定玩法,玩法就是起店模型,定价对了,玩法对了,起店模型对了,才能成功起店。

E | 就说品牌防晒霜,由于官方控价,有个统一指导价,毋庸多言,直接玩强付费。这种起店模型,就是低价高利润+强付费。

F |     我接手的非源头品牌类的商品都是这样起店的,想换个思路,玩低利润,不好意思,没跑通,直通车没有空间去烧,低价还拿不到单量。

G |     在说白牌香水,这个品不控价,成本低,可操作空间就大了,有高利润+强付费,低利润+微付费,低利润+自然流,三种起店模型可以选。    选哪个呢?很好理解,排除法,低利润+自然流的直接剔除,因为市场容量不大,玩不了自然流。那就只能在强付费和微付费两种起店模型里面去选了,两种方式我都试过,跑出来的效果确实不一样。

H |     再说源头水果和3C数码,这2个类目的体量和价格完全不一样,成本也不一样。起水果用的是哪个模型,限额+自然单。3C数码呢,还是常规玩法:强付费。    这只是随便举的几个店铺例子,实际我们接的品可是五花八门的,品不一样,市场容量不一样,产品成本也有高有低,我们就会根据体量+成本+商品属性,来判断用怎样的起店模型来起。    经验只会提高把一件事做成功的概率,最终能不能起店成功,还有很多其他因素会影响结果。

I | 就比如通过最近起的同品多店来分析,我就发现了,新店和老店的权重不一样,有数据的老店和没数据的老店权重不一样。因为同样的素材,在有的店里死活没数据,换个店去推,竟然能爆单,你猜这是啥原因呢?    02    起店模型的测试之路    看上面说的结果感觉拼多多起店好像很容易,找对了起店模型,起店应该会很轻松吧。对对对,就跟迷宫一样,找到出口了走出迷宫自然是很容易的。    但问题的难点就在于:这个店铺在你手里,你怎么知道哪个起店模型能跑的通呢?这就需要来测了,而这个测试过程才是真正折磨人的。    再举一个例子,我们接的某入口类的吃的品。成本一般,我们就想着,市场不大,那就玩强付费,预计也能拿到些单量。然后做了三十条链接,玩强付费开车,结果咋样。一周了,店铺就出了几单。    这样下去可不行哇,没办法跟甲方交代,一个是单量少,二是每天空烧把投产比都烧到了1以下了。要赶快的调整策略,咋做呢?那就玩低价微付费了,咱们价格降了还怕没单吗?说干就干,第二批三十条链接又上架了,这已经是2周后了。    上架之后继续开车,按保本投产比开,怎么说呢,要说没单吧,每天也能稳定出个几单,要说爆单吧,就跟站在地球看月球似的,感觉十分的遥远。    这样也不行,那怎么办?单链接限额亏损拉权重,玩低利润强付费。用这种方式,又过了半个月,总算做到单量单日破百了,且是亏钱的。

J | 至于盈利嘛,反正3个月之后拖价成功,目前已经开始盈利了。    为什么要举这个例子,因为他的结果是好的,就跟大团圆的电视剧一样,这个店铺从一开始的起不来量,到最终盈利,圆满了。看到没,起店模型的测试之路是不是十分的坎坷。    如果最终拖价导致没单了,说明限额亏钱拉权重的起店模型也跑不通,那我们就要继续去测其他起店模型了,这就是我们做拼多多每天做的最多的事,测!测!测!    03    最后    能够快速的测通起店模型是一件幸事,我们接的一半的店铺一开始就跑通了,做起来也轻松。

K | 还有一半店铺真的要花时间去测,如果要测价格带,那个周期会更久,不是我们上链接慢,是系统修正人群至少1周时间,还有换品来推的,那个人群修正的周期就更更久了。    要说拼多多起店成功率能不能做到100%呢?我觉得能。

L | 但要加一个前提条件,有充足的时间来测。一周跑不通,那就跑一个月,一个月跑不通,那就跑一年,一年不行,就五年。    那么问题来了,有哪个老板会给大家五年的时间去起店?所以,才会出现最终闭店的情况。

M | 那么,终极问题来了:如何最短时间内找到适合你们品的起店模型呢?    作者:老虎讲运营,运营书籍《全栈运营高手》作者;电商运营推广大牛,千万流水项目操盘手,多平台专栏作家,专注产品运营与推广,擅长品牌打造和爆款链接制造,号称电商运营界扛把子。

        
    

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