AI + real-person solutions to crack the pain points of pseudo-demands in entrepreneurship, SeedMit is seeking angel round financing
I. The prominent problem of pseudo-demands in early-stage startups creates unmet market space for validation tracks
Industry statistics show that 42% of startup failures are directly attributed to misjudgment of market demands. The vast majority of entrepreneurs rely on subjective experience to determine their direction at the project initiation stage, and often invest 3 to 6 months and tens of thousands of funds to complete MVP (Minimum Viable Product) development, only to find that the product has no real payment scenarios, resulting in total loss of time and capital costs. As AI technology lowers the technical threshold for entrepreneurship, the number of global entrepreneurs with non-technical backgrounds continues to expand, driving rising demand for lightweight, low-cost pre-validation tools, while there is an obvious supply gap in the current market.
Traditional offline market research institutions charge high prices and follow rigid processes, and can only serve medium and large enterprises with mature budgets, which grassroots entrepreneurs cannot afford. General questionnaire tools can only collect shallow text feedback, lack a professional evaluation system tailored for entrepreneurial scenarios, and cannot quantify the real degree of pain points. Single generative AI tools output analysis conclusions based on model deduction, lack real user market insight, and their results are easily disconnected from reality. The world's top startup accelerators have strict access thresholds, only accept mature projects with complete data, and cannot cover founders in the embryonic stage who only have preliminary ideas.
SeedMit is a pre-entrepreneurship validation platform built to target this gap in the niche track. The project was initiated by Zhao Yizhi, a serial entrepreneur, and jointly promoted with Zhu Kaiyuan, who is in charge of product design and growth. After half a year of in-depth research on the global entrepreneurial ecosystem, the team officially launched project development in June 2026, spent more than two months completing full-featured product R&D and achieving global launch, providing early-stage entrepreneurs with low-cost, high-efficiency market demand validation services to help them accurately avoid pseudo-demand traps.
II. Self-developed five-stage validation system, dual-track model builds product moat
The core competitiveness of SeedMit comes from its self-developed five-stage quantitative validation and evaluation model. This system breaks down vague market demand judgment into five progressive quantitative links: pain point matching, willingness to try new things, short-term return visit, long-term use, and commercial payment, with clear judgment criteria set for each link. A pain point matching rate ≥ 40% can determine that the demand is truly valid. Entrepreneurs can reasonably adjust the project content according to feedback after each project release, and create it multiple times for the second, third and more runs until all indicators of the project meet the entrepreneur's own requirements. The entire set of models can not only verify the feasibility of the project, but also form a complete user conversion funnel, which can accurately locate the weak links of the project, guide entrepreneurs to make targeted optimizations, and transform entrepreneurial judgments that originally relied on experience into a replicable, measurable standardized process.
At the technical architecture level, the project has built a multi-model AI collaborative scheduling engine, which can schedule multiple groups of heterogeneous large models to complete parallel analysis at the same time. During the development stage, the team encountered problems such as inconsistent interface specifications of different vendors, large differences in timeout thresholds, and task loss caused by concurrent current limiting. The founder completed technical debugging alone, built a unified scheduling gateway, fusing degradation and automatic fault switching mechanism, supporting task queue and retry logic, solving the single point of failure problem in concurrent scenarios. At the same time, unified prompt templates are customized for different models to ensure that the output format of the five-stage validation is standard and unified. At present, AI evaluation can output a multi-dimensional analysis report within 300 seconds, and paid users can enjoy cross full-volume validation of 3 to 4 models.
On this basis, SeedMit has built an AI + real-person dual-track evaluation integration system: AI is responsible for rapid initial screening and breadth analysis, while real-person evaluation targets and matches target customer groups based on seven-dimensional user portrait tags, capturing perceptual experiences and potential demands that are difficult for AI to identify. The complete validation results are finally presented through a visual data dashboard, taking into account both efficiency and real market feedback. In addition, the project has completed the construction of a global underlying architecture, successively overcoming problems such as overseas privacy compliance and abnormal cross-border payment callback reconciliation, to adapt to the usage needs of users in multiple regions around the world.
At the ecological level, SeedMit has set up an eight-level user growth rank system. Users accumulate points by creating projects and participating in evaluations. When the accumulated points reach 999 and the number of independently created projects reaches 99, users can enter the founder incubation program to connect with early capital and industrial resources. High-quality projects can also obtain direct investment from the platform's special fund, filling the coverage gap of incubator services in the embryonic stage of ideas.
III. Two-wheel driven business model, promoting financing landing in the cold start stage
In terms of business model, SeedMit adopts a two-wheel driven model of Freemium subscription plus incubation equity investment, forming a complete value closed loop between short-term tool services and long-term entrepreneurial incubation. The platform sets a permanent free basic version, opens a fixed monthly project creation quota and basic AI and real-person evaluation rights, which greatly reduces the trial and error threshold for novice entrepreneurs with zero budget. At the same time, it launches two tiered paid subscriptions for monthly and annual plans. Paid users can unlock high-level capabilities such as multi-model cross in-depth analysis, expanded real-person evaluation samples, and exclusive research and judgment on overseas markets. The system has a built-in automatic difference compensation mechanism for the remaining membership duration, eliminating users' concerns about upgrading, steadily improving the conversion efficiency of free users to paid versions, and forming a stable and sustainable cash flow relying on subscription services.
The core carrier of long-term value is the platform's exclusive founder incubation program. This mechanism is not a simple financing docking channel, but a set of full-cycle entrepreneurial growth training system for users. The platform builds an eight-level rank growth framework, and users' promotion points come from three behaviors: independently publishing entrepreneurial projects, participating in the evaluation of other people's projects, and gaining recognition for high-quality evaluation content. To reach the incubation admission threshold, entrepreneurs need to accumulate 999 points and independently create no less than 99 business idea projects. The whole process of reaching the standard is essentially a systematic practical entrepreneurship training: entrepreneurs continue to submit their own ideas and receive quantitative market feedback, and at the same time evaluate a large number of projects in different tracks from a third-party perspective, repeatedly practicing market pain point judgment, user demand decomposition, and commercialization feasibility analysis in two-way practical operations. With long-term participation, users can independently polish their market sensitivity, structured business analysis capabilities, and demand prediction vision, and complete the ability transformation from scattered idea holders to mature founders.
When both the user's points and the number of projects meet the standards, they can formally apply to settle in the founder incubation program. The platform will prioritize matching first-tier investment institution resources for these high-quality founders who have been screened through massive practical operations, and projects with explosive potential can also obtain direct equity investment from the platform's special fund. Relying on early equity binding, the platform shares the long-term growth and exit income of startups, builds a second growth curve beyond subscription revenue, and forms a positive ecological cycle of "tools training founders, practical operations screening high-quality projects, and capital empowering entrepreneurship landing".
The core target customer groups of the project cover global independent developers, side-hustle content entrepreneurs, student novice founders and small startup teams. These groups generally have limited budgets, lack professional market research capabilities and capital docking channels, which highly match the product value of the platform. According to data from the GEM Global Entrepreneurship Monitor, the number of participants in global entrepreneurial activities has exceeded 500 million, the number of global independent entrepreneurs exceeded 100 million in 2025, and the size of the Chinese market alone exceeds 16 million, indicating that the track has a market space of hundreds of billions of levels.
At present, SeedMit is in the cold start seed stage after product launch. Its core goal is to accumulate global seed users, verify the subscription conversion model, and simultaneously promote angel round financing. The project plans to raise 3 million RMB, transfer 10% equity, and the funds will be allocated according to the proportion of 40% invested in product R&D, 30% used for global market promotion, 20% used for core team building, and 10% covering daily operations, accelerating the platform's transition from the validation stage to the large-scale commercial stage. According to the financial forecast, the project is expected to achieve break-even in the second year, and the net profit will exceed 3 million US dollars in the third year, with a clear growth path.
In the cold start stage, early users generally recognize the practical value of the five-stage quantitative model, believing that the dual-track model of multi-model AI plus real people effectively fills the shortcomings of a single tool, and the low-threshold free solution also adapts to the needs of grassroots entrepreneurs. At the same time, users also put forward optimization suggestions such as high understanding threshold of the data dashboard and limited evaluation quota of the free version. These feedbacks have become the core basis for product iteration. The team is gradually optimizing the novice experience, adjusting the rights allocation, and expanding the evaluation templates for vertical tracks according to priority, to continuously consolidate product competitiveness.