MiraclePlus is a Beijing accelerator founded in 2019 by Lu Qi as the independent successor to YC China. It runs two batches a year with a standard US$300,000 cheque for 7% equity and a Demo Day. Its portfolio skews heavily toward embodied intelligence, AI infrastructure and agent products.
The firm states that over 99% of its investments sit in frontier innovation fields, and it deliberately funds projects other investors consider too early or too technical — buying deep-tech risk at a fixed pre-seed valuation rather than competing in priced rounds.
The programme's stated objective is to get a company ready to face investors within three months. Partners including Lu Qi run weekly one-on-one office hours — around 100 hours per project on average — focused on the single constraint blocking traction.
The most concentrated cluster in the portfolio: mobile robots, tactile sensing, actuators and simulation data. It reflects a view that China's manufacturing base gives embodied AI a cost and iteration advantage no software-only market can match.
Alongside hardware, the firm backs the inference and agent layer — SiliconFlow for model serving, HPC-AI Tech for distributed training, and consumer agent products such as Fellou and Macaron built by alumni founders.
MiraclePlus was founded in 2019 in Beijing by Lu Qi, the former Microsoft executive vice president and Baidu group president, as the independent successor to YC China after Y Combinator withdrew from the market. Ten batches in, the firm reports 612 funded startups, roughly 1,500 alumni founders and a combined portfolio valuation near RMB 90B.
MiraclePlus-backed AI companies highlighted by the firm, spanning model infrastructure, embodied intelligence and agent products.
Model inference and serving platform giving developers low-cost access to open-source and Chinese foundation models.
Creator of Colossal-AI, an open-source system for distributed large-model training and inference.
Synthetic data and simulation platform supplying training data for robotics and autonomous driving models.
Multi-dimensional tactile sensors and humanoid robots built around touch as the primary modality.
Autonomous mobile robots for factory and warehouse logistics in electronics manufacturing.
Agentic browser that plans and executes multi-step web tasks on the user's behalf.
Consumer agent that generates small personal apps and workflows from natural-language requests.
Direct-drive motors and actuator modules used in robot joints and precision motion systems.
High-performance networking and interconnect for AI training clusters.
Analogue in-memory computing chips for always-on, low-power edge perception.
Domain-specific processors targeting data-centre workloads and AI acceleration.
Consumer AI hardware and interaction devices built by an alumni founding team.
No rounds led by MiraclePlus are in the tracker yet. Deals will appear here as they are recorded.
Literally: after Y Combinator withdrew from China, Lu Qi — ex-Microsoft EVP and Baidu group president — founded MiraclePlus in Beijing in 2019 as the independent continuation. The shape carried over: two three-month batches a year, a standard cheque for 7% equity, a Demo Day before 1,000+ investors. What changed is the market: Chinese hard-technology founders rather than consumer software.
Because the fixed pre-seed price is the point: over 99% of investments sit in frontier innovation fields, bought at a standard valuation rather than through priced rounds — deep-tech risk at pre-seed cost. The thesis is that China's manufacturing base gives embodied AI a cost and iteration edge no software-only market can match, so tactile sensors (Paxini), direct-drive motors (Zeroerr) and simulation data (LightWheel) get accelerator money.
A higher floor: US$300K for 7% implies roughly a US$4.3M post-money, against about US$1.8M for YC's US$125K-for-7% — more than double, consistent with deep-tech cost structures in Beijing. The mechanics are identical (fixed equity, standardized cheque, cohort Demo Day); the price gap is a market read on what pre-seed frontier technology costs to start.
Because embodied AI is a stack, and entry price is the only differentiator. HongShan funds brain, hands and feet at growth scale; MiraclePlus buys the same decomposition at inception — Paxini's tactile sensing, Zeroerr's actuators, LightWheel's simulation data, Standard Robots' mobile platforms. The overlap with Lollapalooza on SiliconFlow shows the infrastructure layer attracts both ends of the capital spectrum too.
Investor-readiness in three months. Partners including Lu Qi run weekly one-on-ones — around 100 hours per project on average — aimed at the single constraint blocking traction. The output metric after ten batches: 612 funded startups, roughly 1,500 alumni founders and a combined portfolio valuation near RMB 90B — scale only a standardised programme, not bespoke venture support, can produce.
