How LiblibAI’s $300M ARR Fueled a Near‑$300M Funding Round Valuing It at Over $2B

Recent domestic AI application financing set a new record: LiblibAI, the flagship of Yanyu Technology, closed a B+ round raising nearly $300 million, pushing its valuation past $2 billion after a $130 million round the previous October, with continued backing from Sequoia, Shunwei, Gaorong and new investors such as Tencent.

The funding underscores investors’ belief that AI applications can become profitable businesses. Yanyu’s annual recurring revenue (ARR) has reached $300 million, and its group revenue grew over 3000% year‑over‑year by May 2026, creating a clear gap with domestic peers across financing size, revenue, user base and ecosystem breadth.

The article argues that achieving product‑market fit (PMF) is the decisive factor behind this success and identifies three hard‑to‑fake signals of genuine PMF.

Signal 1 – Spontaneous viral spread. Yanyu’s products generate organic traffic without heavy ad spend: the AI design bot’s first X post surpassed one million views, LibTV attracted 100 000 creators on its launch day, and 80% of daily new users come from natural traffic, bringing the total creator ecosystem to over 30 million users.

Signal 2 – Willingness to pay premium prices. Citing Simon Willison’s observation that users often complain about high AI product costs yet still pay, LibTV’s mixed subscription‑plus‑pay‑per‑use model earned $1 million in single‑day revenue during its first month, and May revenue was more than 13 times the first‑month figure.

Signal 3 – Large‑scale professional adoption. Within a month of launch, over 300 short‑film and film companies integrated LibTV, and the platform now serves nearly a thousand agencies, production houses and brand clients. B‑side customers demand concrete cost savings and workflow integration, indicating a rigid, high‑value demand that cannot be faked.

The piece places these signals in the broader evolution of AI creative tools: early stages focused on raw generation capability (e.g., GPT, Midjourney), then on ease of invocation, and now on stitching scattered capabilities into a reusable production pipeline. LibTV embodies this latest stage with its “infinite canvas + node‑based workflow,” unifying script, storyboard, shooting and editing in a single space, supporting both human creators and AI agents.

This architecture enables batch prompt editing, consistent lighting across hundreds of shots, team collaboration, and a unified credit system, turning content creation into a high‑frequency, monetizable production infrastructure that is difficult for competitors to replicate.

Founder Chen Mian’s view—scale first, then build barriers—matches Yanyu’s strategy of linking two dimensions: a full‑line content pipeline and deep creator lock‑in. The resulting sticky network creates a moat that goes beyond any single feature, making the company’s rapid scaling and ecosystem growth the core of its defensible advantage.