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0营收 100亿估值:大厂AI高管创业 正在被投资人疯抢

林京 2026-07-01 15:32
林京 2026/07/01 15:32

邦小白快读

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当前国内正掀起大厂核心人才出走创业的创投热潮,大量项目未落地就获得资本疯抢,核心信息如下:

1. 创业主力来自字节跳动、阿里等互联网大厂的AI核心中高层,以及大疆的硬件领域高管,不少项目0营收就拿到了百亿人民币级别的估值,成立不满百天就完成数十亿元融资已成常态。

2. 创业方向普遍和创业者在大厂的过往履历强相关,AI领域集中在AI Coding/Agent、具身智能、AI制药、科学计算等赛道,硬件领域多是将无人机核心技术迁移改造传统产品,开拓小众市场。

3. 当前资本最追捧两类创业者:一类是大厂经历过从0到1产品开发的实战派,另一类是清北顶尖院校出身的学术天才,投资人甚至会提前接触还未离职的大厂核心员工,提前锁定项目。

当前创投领域的创业新动向,能为品牌商把握消费趋势、布局AI转型提供诸多参考,具体如下:

1. AI重构垂直细分场景已经成为明确的产业和消费趋势,不管是To B商业服务还是To C消费硬件,都诞生了大量新的创业机会,品牌商可提前布局相关赛道,抓住技术升级的红利。

2. 当前技术出身创业者的主流思路是用成熟前沿技术的代差重塑传统产品,挖掘未被满足的小众需求,再把小众市场做大成为新的大众赛道,拓竹3D打印机就是典型案例,说明消费端还有很多技术升级的空白市场待挖掘。

3. 这波创业潮带来了大量流出的顶尖AI、硬件技术人才,资本抢人的现状说明核心人才缺口极大,品牌商可抓住机会吸纳高端人才,为自身AI转型、产品升级储备力量。

这波AI与硬科技创业热潮,给各类卖家带来了新的机会,也给出了风险提示,具体如下:

1. 机会层面,AI重构垂直场景、技术迁移升级传统产品成为行业新风向,大量新兴创业项目聚焦B端服务、消费硬件升级赛道,卖家可依托自身的渠道、流量资源,对接新兴项目,开发新品类,拿到技术升级带来的增长红利。

2. 当前资本提前押注优质项目,大量创业项目在早期就获得充足的资金支持,相关赛道的竞争会快速升温,如果卖家打算布局相关赛道,需要提前做好差异化竞争的准备,规避头部项目挤压的风险。

3. 很多新兴创业团队核心优势在技术,缺落地渠道和场景资源,卖家可凭借自身资源优势和创业团队达成合作,共享新赛道的增长红利。

这波大厂核心人才创业潮,给制造工厂带来了新的商业机会,也提供了数字化转型的启示,具体如下:

1. 商业机会层面,大量大疆系创业者将无人机领域积累的电机、控制算法、传感器等核心技术,迁移到3D打印机、便携储能、智能户外载具等全新消费品类,这些新品类的生产落地,给具备高端制造能力的工厂带来了大量新的订单和增长机会。

2. 转型思路层面,工厂可以借鉴创业者的发展思路,将自身积累的核心制造技术迁移到其他相关品类,依靠技术代差升级传统产品,挖掘小众市场的未满足需求,打造自身的差异化竞争力。

3. 转型方向层面,当前大量AI创业项目需要硬件生产落地支持,工厂可加快推进自身的数字化升级,对接AI硬件创业项目,打开新的增长空间。

当前这波创业创投热潮,给各类行业服务商指明了新的发展方向,具体干货如下:

1. 行业发展趋势方面,AI和硬科技创业已经进入早期爆发阶段,投资前移、孵化式投资成为创投领域新趋势,资本对早期创业项目的支持力度空前,整个行业的创业节奏明显加快,催生了大量新的服务需求。

2. 客户痛点方面,当前大部分早期创业项目的核心团队都是技术出身,普遍缺企业运营、供应链管理、市场推广、团队搭建等配套服务支持,很多创业者还未离职就拿到投资承诺,需要快速完成创业前期的各项筹备工作。

3. 服务商可针对性推出早期创业孵化配套服务,对接资本、产业资源和创业人才,为早期项目提供从公司注册到落地推广的全流程服务,抓住这波创业热潮的行业红利。

这波大厂核心人才创业热潮,给各类创投平台、产业孵化平台带来了新的需求,也明确了运营调整方向,具体如下:

1. 当前创业项目的核心新需求是早期私密对接、预孵化服务,很多项目在创始人还未离职的时候就已经启动,需要平台提供不公开的对接孵化服务,帮助创始人完成前期筹备。

2. 平台可调整招商布局方向,将重点放在字节跳动、阿里、大疆等头部大厂周边,提前锁定大厂核心中高层人才,针对潜在创业者推出提前对接资本、预孵化的服务,抢占优质项目资源。

3. 需要注意规避赛道风险,当前很多项目未落地就获得极高估值,赛道泡沫风险已经显现,平台在引入项目的时候要做好筛选,重点布局有明确落地场景的项目,规避虚高估值带来的风险。

这波大厂核心人才出走创业的创投热潮,呈现出诸多产业新特征,为产业研究提供了新的方向,具体如下:

1. 产业新动向方面,AI技术落地已经进入深水区,互联网大厂的组织架构调整催化了核心技术人才向外溢出,大量顶尖人才流向垂直赛道创业,推动AI技术快速向生物医药、半导体、科学计算、消费硬件等多个领域渗透,加速产业升级。

2. 产业新问题方面,当前资本将投资阶段大幅前移,投人逻辑被推到极致,很多项目未实现业务落地就拿到了极高估值,传统的估值体系、投资回报率模型被重构,随之带来了估值泡沫、资源错配等新的产业问题,值得深入研究。

3. 创业模式新特征方面,这波创业者普遍依托原有大厂履历深耕垂直赛道,核心团队普遍采用“技术大牛+顶尖校友+产业专家”的标准配置,形成了新的早期创业团队搭建模式,具备较高的研究价值。

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Quick Summary

China is currently experiencing a boom in startup activity driven by top-tier tech talent leaving major domestic internet and hardware companies, with capital rushing to back projects even before they have launched commercially. Key observations are as follows:

1. Most of these new founders are mid-to-senior AI leaders from internet giants like ByteDance and Alibaba, or senior hardware executives from DJI. Many projects command valuations in the tens of billions of RMB with zero revenue, and it has become common for companies less than 100 days old to close financing rounds worth billions of RMB.

2. Startup tracks closely align with founders' prior experience at their former employers. In AI, the most popular areas are AI coding, AI agents, embodied intelligence, AI-driven drug discovery, and scientific computing. In hardware, founders typically adapt DJI's core drone technologies to rebuild traditional products and carve out new niche markets.

3. Capital is particularly focused on two types of founders: hands-on builders who have taken products from zero to one at big tech, and academic stars who graduated from top institutions like Tsinghua and Peking University. Investors are even approaching key big tech employees before they leave their roles to lock in early access to future projects.

This new wave of tech startups offers valuable insights for brand owners to track consumer trends and plan their AI transformation. Key takeaways are as follows:

1. The AI-driven restructuring of niche vertical segments is now a clear industrial and consumer trend, creating significant new startup opportunities across both B2B services and consumer hardware. Brands can move early to enter these segments and capture the upside from tech-driven upgrading.

2. The dominant strategy for today's tech-native founders is to leverage generational gaps in mature cutting-edge technology to rebuild traditional products, tap unmet niche demand, and scale niche markets into new mainstream segments. Bambu Lab's 3D printer is a leading example, demonstrating that there remains substantial untapped opportunity for tech-driven upgrading across consumer markets.

3. This startup wave has released a large pool of top AI and hardware talent into the market, and the current capital war for talent underscores just how large the industry's talent gap is. Brands can seize this opportunity to recruit high-end talent to build capacity for their own AI transformation and product upgrading.

This boom in AI and hard tech startups brings new opportunities for sellers, alongside notable risk considerations:

1. On the opportunity side, the AI-driven restructuring of vertical segments and technology-enabled upgrading of traditional products have become the new industry norm, with a large number of new startups focused on B2B services and consumer hardware upgrading. Sellers can leverage their existing channel and traffic advantages to partner with these new projects, develop new product categories, and capture growth from tech-driven industry upgrading.

2. Capital is now pre-emptively backing high-potential projects, meaning most new ventures receive full funding at very early stages, and competition in hot segments will heat up rapidly. Sellers planning to enter these segments should prepare for differentiated competition early to avoid being squeezed out by well-funded leading projects.

3. Most new startup teams have deep technical strengths but lack go-to-market channels and on-the-ground scenario resources. Sellers can partner with these startups based on their own resource advantages to share the growth upside of emerging new tracks.

This wave of startup activity driven by big tech core talent brings new commercial opportunities for manufacturing factories, as well as valuable lessons for digital transformation:

1. In terms of commercial opportunities, many DJI-founded startups are adapting core drone technologies including motors, control algorithms and sensors for entirely new consumer categories such as 3D printers, portable energy storage, and smart outdoor mobility. The production and scaling of these new categories creates significant new order and growth opportunities for factories with advanced manufacturing capabilities.

2. For transformation strategy, factories can adopt the same approach used by these founders: transfer their own accumulated core manufacturing expertise to related product categories, upgrade traditional products via generational technological advantages, tap unmet demand in niche markets, and build differentiated competitive advantages.

3. For transformation direction, a large number of current AI startups require hardware manufacturing and commercialization support. Factories can accelerate their own digital upgrading to partner with AI hardware startups and open new avenues for growth.

This current startup and investment boom points to clear new growth directions for industry service providers. Key insights are as follows:

1. In terms of industry trends, AI and hard tech startup activity has entered an early-stage boom, with "front-loaded investment" and "incubation-style investing" emerging as the new norm in venture capital. Investors are supporting early-stage projects more aggressively than ever before, which has drastically accelerated startup timelines and created massive new demand for supporting services.

2. In terms of customer pain points, most core teams of early-stage ventures are composed of technical experts, and they generally lack support for non-technical functions including corporate operations, supply chain management, marketing, and team building. Many founders secure investment commitments before leaving their big tech roles, and require rapid support to complete all pre-launch startup preparations.

3. Service providers can build targeted incubation and support packages for early-stage startups, connecting capital, industry resources and founding talent, and offering end-to-end support from company registration to go-to-market execution to capture the industry upside from this startup boom.

This startup wave driven by big tech core talent brings new demand to venture capital and industrial incubation platforms, and clarifies directions for operational adjustment. Key takeaways are as follows:

1. The core new demand from these projects is for confidential early-stage deal matching and pre-incubation services. Many projects launch while the founder is still employed at their former company, so they require platforms to provide private deal matching and incubation support to help founders complete early preparations.

2. Platforms can adjust their sourcing and expansion strategy to focus on locations around leading companies including ByteDance, Alibaba, and DJI, to pre-emptively connect with mid-to-senior core talent, and offer pre-launch capital connection and pre-incubation services for potential founders to secure access to high-quality deal flow.

3. Platforms must also manage track risk: many projects receive extremely high valuations before commercial launch, and valuation bubble risk is already emerging. Platforms should implement rigorous screening when onboarding projects, prioritize projects with clear commercial use cases, and mitigate risk from inflated valuations.

This wave of startup activity from big tech core talent exhibits many new industrial characteristics, and opens new directions for industrial research. Key observations are as follows:

1. For new industrial trends, AI commercialization has now entered a deepening phase, and organizational restructuring at China's leading internet giants has catalyzed the outward spillover of core technical talent. Large numbers of top-tier talent are now founding companies in vertical tracks, accelerating AI's penetration into sectors including biopharmaceuticals, semiconductors, scientific computing, and consumer hardware, and speeding up overall industrial upgrading.

2. For new industrial issues, venture capital has drastically shifted its investment timeline to earlier stages, and the "bet on the team" investment philosophy has been pushed to an extreme. Many projects receive extremely high valuations before they have launched any business, which has upended traditional valuation frameworks and return on investment models. This has created new industrial issues including valuation bubbles and resource misallocation that warrant in-depth research.

3. For new characteristics of startup models, today's founders almost universally build their ventures in vertical segments they already know from their big tech tenures, and core teams typically follow the standard structure of "top technical expert + elite alumni + industry veteran". This has formed a new model for early-stage team building that carries significant research value.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

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|林京

近一段时间,从互联网大厂“出走”的高管,AI创业项目正密集落地,并且遭到投资人疯抢。

阿里千问大模型前负责人林俊旸创办的AI实验室完成首轮融资,投后估值20亿美元(约135亿元人民币);阿里前高管任庚创立的昆仑行机器人,成立不到90天,接连完成3轮融资,累计融资数十亿元;字节跳动前高管陈冕创立的演语科技,投后估值同样超20亿美元。

这只是冰山一角。近两年,这些互联网大厂的核心AI人才创业领域集中在AI Coding/Agent、具身智能、AI硬件等赛道,在业务与产品均未落地之时,便已引起投资人争相押注。

与此同时,硬件领域也掀起对“大疆系”前高管的争夺战。IT桔子信息显示,2025年以来,近20家由大疆前员工创立的公司获得融资。在深圳大疆新的总部“天空之城”附近,投资人频繁向那些在职或者刚离职的大疆员工抛出橄榄枝。

这场浪潮远未到终点,互联网大厂的技术大牛们还在出走,创投热潮仍在继续,下一个估值百亿的明星项目,或许已在路上。

大厂“出走”技术大牛掀起创业潮

有着“超级APP工厂”之称的字节跳动,在这一轮AI创业浪潮中尤其突出。据雷锋网报道,飞书产品副总裁施凯文近日确认创业,方向锁定端侧Agent。施凯文在飞书期间,长期负责飞书产品方向。

字节系高管创业潮始于2023年,这一年,ChatGPT引爆全球AI热潮,此后,这股热潮持续升温。根据Z Finance统计,在近几年的大模型创业浪潮中,至少30位字节中高层人才选择创业,其中相当一部分在正式离职前便已敲定首轮融资,投资方不乏红杉中国、高瓴创投等一线机构。

从公开信息可以看到,仅在近两个月,就至少有5位字节系高管创业。今年5月,剪映系两位高管相继离职,产品负责人张琪智(KiKi)宣布开启个人创业生涯,“小云雀”负责人张心怡也于同月告别。而且,这一波字节系创业者多出自Flow(AI产品创新)、Seed(基础模型研究)以及剪映、飞书等成熟产品线团队。

值得关注的是,AI4S(Seed-AI for Science)团队也是近期字节系创业的焦点,该团队是字节跳动Seed团队旗下专注前沿科研探索的分支业务,不直接服务于豆包、抖音、剪映等C端消费级产品,而是聚焦科学计算领域的技术突破。

今年5月,包括顾全全、吕定顺在内的多位字节AI4S成员集体离职创业,方向集中在AI制药、蛋白设计、生物基础模型及药物发现平台。

不止字节跳动,以刚刚获得融资的林俊旸为代表,多位阿里系高管也在近两年投身AI创业淘金热潮。今年6月,阿里副总裁张凯夫离职创业,方向是构建面向市场的世界模型,公开资料显示,张凯夫在阿里任职近十年,是阿里电商与AI业务的重要操盘手,深度参与淘宝商家生态与流量运营,曾与汤兴、杨光、刘博并称为“大淘宝四大金刚”。

2025年10月,张凯夫曾对外表示,电商业务中的AI投入以及实现收支平衡,标志着AI技术开始为阿里电商主业带来实质性利润回报。2026年4月,阿里新一轮组织架构调整中,张凯夫主导的智能搜推产品事业部被拆分,核心多模态研发团队并入新成立的ATH事业部。

从时间线来看,一方面,无论是字节AI4S团队成员顾全全,还是阿里副总裁张凯夫,他们离职创业的同时,所在的组织架构也发生变动。

今年5月底,市场就传言AI4S团队正酝酿新一轮组织调整,从6月份最终落地结果来看,据36氪报道,字节AI制药开启拆分融资,AI4S进入产业化阶段。这也是字节第一次试水AI4S的产业化,内部非常重视。

另一方面,无论是互联网大厂高管,还是大疆系创业者,他们所处的赛道中频频涌现出估值飙升、市场表现抢眼的明星项目,也是他们出走创业的重要外部驱动力。

在硬件领域,大疆总部所在的“天空之城”周围的咖啡馆,成为投资人过去一年密集出现的区域。其中一个不可忽视的大背景是,一批大疆系创业者在2025年进入公众视野,包括大疆前产品经理陶冶创立的拓竹科技、前大疆前电池研发部负责人王雷创办的正浩创新等,前者估值高达400亿元,后者近两年正在启动美股IPO。这些硬件明星企业的出现,吸引着越来越多的大疆系高管加入创业大军。

创业项目延续在大厂履历

互联网大厂高管的AI创业项目也正在浮出水面,其中最受关注的莫过于林俊旸。从阿里离职3个月后,企查查信息显示,林俊旸近期注册了三家公司实体,包括100%控股的语用(上海)科技有限公司、99%持股的上海卜拉格科技有限公司,以及通过卜拉格科技控制的上海格物致用管理咨询合伙企业。

除此之外,据科创板日报,阿里另一位前高管张凯夫创业方向,是构建面向市场的AI数字经济学家,面向海外Agent的实时经济情报引擎,为AI提供商业与金融领域的可调用上下文。

张凯夫曾在社交媒体发文称,预测人类集体行为,尤其是市场行为,是人工智能尚未征服的终极超能力挑战之一。他相信目前正是启程之时,并招募相关人才加入。

除了今年离职后迅速注册企业、组建团队的企业,还有一批在2025年之前、ChatGPT引爆全球AI热潮中的字节系创业者,创业项目也开始出现在公众视野。譬如,曾任字节跳动技术研发负责人的杨萍,在2025年7月与清华姚班校友王伟以及以及AI产业落地专家李莹共同创立词元无限,提供面向B端企业的AI Coding Agent服务。

这波创业浪潮中团队组建的共同特征是,其核心骨干多数由“老东家”员工,以及清华、上交大等顶尖高校的校友圈成员组成,“技术大牛+顶尖校友+产业专家”几乎成为标准配置。

字节跳动AI4S前成员吕定顺,则在今年1月成立了量坤科技,6月宣布完成数亿元天使轮及天使+轮融资,从其官网可以看到,量坤科技目前已拥有近40名成员,核心成员来自清华、北大等高校及国际科研机构,聚焦半导体、新能源、创新药物等产业场景。

6月10日,据Z Finance报道,字节Flow部门AI产品负责人西原(花名)离职创业的方向聚焦AI内容/社交领域。

无论是阿里系,还是字节系,这些互联网大厂走出的创业者,选择的方向都与过往履历强相关。字节系创业者几乎都是其在字节工作的延伸和深化,例如,做AI创作工具的来自剪映系员工,做Coding Agent的本身就是AI编程产品的孵化者,他们将已验证的方法论和技能,去更垂直的赛道进行创业。

阿里系高管离职后创业还有一个明显特征是,从自己最熟悉的行业切口入局,用AI重构一个具体场景。譬如,前天猫精灵总裁彭超创立云玦科技,首款产品运动可穿戴硬件设备+Agent智能体,是他多年来在消费硬件领域积累的产业判断和自然延伸。

大疆系创业者之所以备受瞩目,很大程度上得益于大疆多年沉淀下来的“技术+产品+供应链+出海”全栈能力。综合这些大疆系创业者的进展来看,一方面,他们将大疆在无人机领域积累的核心技术(如电机、控制算法、传感器)迁移到看似毫不相关的领域,用“技术代差”重塑传统产品。例如,用无人机电机技术做出全球领先的高速吹风机,用视觉感知技术打造智能电动轮椅。而当下创投圈炙手可热的拓竹科技,也正是将无人机上的无刷电机、激光雷达与精密控制技术迁移至3D打印机。

另一方面,他们倾向于进入相对小众或未被满足的市场,如便携储能、户外智能载具(如电动ATV)、无弦吉他、钓鱼艇、4K影像眼镜等,通过技术革新将小众市场变成大众消费市场。

投资前移,“只要愿意出来,给钱、给项目、帮忙组团队”

投资人对大厂高管创业项目的“围猎”并非新鲜事,但在AI浪潮的催化下,这场争夺正变得前所未有地迅猛,从融资节奏到单笔金额,都在不断刷新纪录。

不少明星项目在起步阶段,即获得红杉中国、IDG资本、高瓴创投、腾讯等顶级机构的注资,估值动辄数亿乃至数十亿美元。

这种“开局即巅峰”的局面与投资人竞相“卡位”的策略直接相关。一位投资人向Tech星球透露,当前投资人“攒局”现象盛行,几家头部基金在早期即联合进入、锁定两轮份额,再面向市场开放。

在硬科技赛道,“投人”的逻辑被推至极致,以深受资本青睐的“大疆系”为例,据《每日人物》报道,许多投资人的目标明确锁定大疆、拓竹、影石、云鲸、安克等公司的中高层。深圳投资圈甚至流传一句调侃:高管们只需一句“我出来创业了,给我打钱”,便能轻松融到数千万美元。

融资金额也在不断攀至新高峰。譬如,林俊旸这样的核心业务“一号位”,在团队和产品都未实质性落地完成之时,企业便估值20亿美元,这在国内AI初创公司几乎没有先例。同样的投资速度也出现在阿里前高管创立的昆仑行机器人项目,成立不到90天便获得数十亿融资。类似的速度,如今已经在行业成为常态。

随着创业项目估值的水涨船高,投资人的回报率模型也正在被重估。猎头Allen告诉Tech星球,如今科创类项目越来越贵,过去消费、互联网项目首轮融资多在百万级,如今具身智能、AI赛道起步即千万级,近期更不乏首轮过亿的案例。等到项目进入B、C轮,优质标的份额难抢,企业估值进一步走高,投资回报空间也会收窄。

据Allen介绍,为此,多数VC(风险投资机构)正将触角伸向“水面以下”,在创始人刚有创业念头时便抢先接触,以锁定份额。早期投资的核心逻辑仍是“投人”,目前字节系、大疆系背景的创业者最受青睐,这两家公司附近常有投资人约在职员工喝咖啡、递名片。字节系中,L5至L7级别的中高层是投资人重点关注对象,尤其豆包、剪映、飞书等业务线人才,因为能力与AI应用高度契合,更加抢手。

此外,越来越多创投机构将投资阶段前移,“孵化式投资”成为新趋势,部分机构甚至对互联网大厂在职员工承诺:“只要你愿意出来,我给钱、给项目、帮你组团队。”

据Allen介绍,如今在投资人眼中,当下更值得押注的创业者无非两类:一是在大厂经历过从0到1的产品创立、经历过大厂的管理体系、接触过最前沿技术的实战派;二是清华北大出身、具备顶尖学术背景的天才型创业者。前者胜在经验与视野,后者赢在底层创新能力。

进入7月,互联网大厂的高管出走还在继续上演,综合科创板日报、新浪科技报道,近日豆包手机硬件产品负责人林夕,以及阿里中国电商事业群资深算法专家(P10)、淘宝推荐算法负责人姜宇宁(花名:孟诸)已于近期离职。他们的下一站抉择,也将持续受到行业关注。

注:文/林京,文章来源:Tech星球(公众号ID:tech618),本文为作者独立观点,不代表亿邦动力立场。

文章来源:Tech星球

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FAQ回顾

AI创业领域哪些创业者更受投资人青睐?

当前AI创业领域更受投资人青睐的创业者主要分两类,一类是有互联网大厂从0到1产品落地经验、熟悉大厂管理体系、掌握前沿技术的实战派,以字节系、大疆系中高层技术人才为代表;另一类是具备清华、北大等顶尖高校学术背景的天才型创业者,胜在底层创新能力。

当前AI创业的热门赛道有哪些?

近两年AI创业热门赛道主要包括AI Coding/Agent、具身智能、AI硬件、AI制药、科学计算、端侧Agent、AI内容社交等。大疆系创业者还会将无人机核心技术迁移到便携储能、户外智能载具等小众消费硬件赛道,通过技术革新将小众市场转化为大众消费市场。

大厂背景的AI创业项目融资有什么特点?

大厂背景的AI创业项目融资节奏快、金额高,不少项目在业务和产品尚未落地时就获得红杉中国、高瓴创投等顶级机构注资,成立不到90天融资数十亿、首轮融资过亿已成行业常态,核心高管创立的项目投后估值可达20亿美元。

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