Find the co-founder you won't regret in 3 years.
AI predicts founder conflicts, equity disputes, execution mismatch, startup survival probability, and long-term partnership outcomes before you build together.
Founder DNA Engine
Maps founder operating style, decision tempo, risk appetite, communication defaults, ambition horizon, role boundaries, and unresolved partnership assumptions.
Founder Risk Engine
Scores founder churn risk, equity conflict probability, execution mismatch, hidden role overlap, decision deadlock, and communication breakdown vectors.
Venture Simulation Engine
Stress-tests the team across fundraising failure, customer stagnation, product disagreement, equity renegotiation, and one-founder exit scenarios.
The most expensive startup failure is the one you mistake for chemistry.
CoFounder AI turns founder relationship risk into an operating dashboard before incorporation, before vesting, before the first investor update.
Upload founder cohorts and rank future winners.
Identify fragile teams before the batch starts. Compare founder-market fit, execution alignment, decision quality, commitment risk, and partnership durability across an entire cohort.
Landing Page Layout
- Top nav: brand, Founder DNA, Risk Feed, AI Report, Simulation, Pricing, Admin, primary CTA.
- Hero: headline on left, founder-risk terminal on right, four intelligence modules below.
- Engine row: Founder DNA Engine, Founder Risk Engine, Venture Simulation Engine.
- Founder Divorce Predictor™: risk matrix and operating interpretation.
- VC section: cohort upload, ranking future winners, investor CTA.
From curiosity to risk scan
- Founder lands on regret-prevention promise.
- Terminal preview makes the product feel analytical, not social.
- User runs Founder Risk Scan instead of browsing profiles.
- AI report exposes risk and creates urgency to complete onboarding.
- Paid plan unlocks deeper simulations and investor/cohort tooling.
Sign Up / Login
MVP 演示版使用本地状态模拟登录，正式版可接 Clerk 或 Supabase Auth。
创建账号
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Founder Onboarding Form
高信号 profile 是匹配质量的核心。MVP 先用结构化字段，不做冗长心理测评。
Match Feed
用结构化风险信号查看候选 founder，不按简历热度排序，而按合作失败概率、执行节奏和股权风险排序。
Match Detail Page
查看候选人的角色、技能、创业方向和匹配理由。
AI Compatibility Report
模拟 OpenAI 输出的 founder compatibility report，正式版调用 `/report/generate`。
AI Co-founder Simulation
选择一个高风险场景，模拟双方一起创业后可能发生什么。
选择场景
Chat Intro Page
双方互相感兴趣后，AI 自动生成第一条破冰信息和第一次 founder call 议程。
AI 破冰消息
Maya，你的 LLM 工程背景和我这边的 GTM/客户发现经验非常互补。我想先用 30 分钟聊一个具体方向：AI workflow for SMB sales teams。如果你愿意，我们可以各自带 3 个最强假设来快速判断是否值得试合作。
第一次 Founder Call 议程
- 各自 3 分钟说明为什么现在想创业。
- 确认目标用户、行业方向和不可接受的红线。
- 讨论角色分工、投入时间和股权预期。
- 定义一个 7 天试合作任务和成功标准。
Pricing Page
MVP 收费重点：让用户为高质量报告、模拟和优先推荐付费。
Free
适合先体验匹配质量。
Founder Pro
适合认真找合伙人的 founder。
Community
适合孵化器、VC 和创业社区。
Admin Dashboard
增长和运营后台：用户、匹配、付费、算法表现、留存和邀请码。
1,000
90 天注册目标
300
完整 Profile 目标
100
Mutual Matches 目标
50
付费用户目标
推荐算法表现
用户管理
| 用户 | 角色 | 状态 | 计划 |
|---|---|---|---|
| Maya Chen | CTO | Active | Pro |
| Alex Rivera | Product | Active | Free |
| Noah Patel | Growth | Review | Community |