Rob Hadick投资经历与关联项目

01

人物档案

WOOFUN AI

Rob Hadick 是 Dragonfly 普通合伙人，曾任职于 GoldenTree 和 Goldman Sachs，长期聚焦加密原生与金融基础设施投资，在消费级应用、比特币扩展和 AI 基础设施等方向均有布局，具备较强行业辨识度。

偏好在基础设施与应用交汇处下注，重视产品落地、市场规模与监管可行性，风格相对务实，倾向支持能形成网络效应和长期复利的项目。

近期公开关注点集中在消费级加密应用、预测市场与稳定币竞争格局变化；其已投项目 fomo 完成新一轮融资，也反映出他持续押注面向用户的加密产品。

出生地--

教育背景--

从业年限2 年

关联机构1 家

个人投资3 家 · 独角兽 0

媒体曝光度1 次 / 月

AI 风格画像务实派 · 跨界视角 · 高增长偏好

主导特征务实派

更看重真实使用场景和商业化路径，倾向选择能快速验证需求、并具备扩张潜力的项目。

比较优势跨界视角

兼具传统金融与加密基金经验，能从资本效率、市场结构和合规边界三个维度判断机会。

主要争议高增长偏好

其投资方向常落在监管敏感或竞争激烈赛道，外界会质疑这些项目的合规风险与长期护城河。

02

职业履历

2 年连续创业

--

Dragonfly 普通合伙人

Rob Hadick 是 Dragonfly 普通合伙人，此前他曾在GoldenTree、Goldman Sachs 等公司任职。

03

关联实体

1 家

Dragonfly

加密原生基金

Dragonfly 是一家专注于数字资产、区块链和 DeFi 生态系统的全球投资公司。Dragonfly 的使命是支持和投资加密领域最有前途的项目，它结合了深厚的行业知识、多元化的全球网络和战略洞察力，以发现推动创新和长期价值的机会。作为 Web3 领域的积极参与者，Dragonfly 与富有远见的团队和项目合作，为未来的金融和技术构建基础设施。通过多策略投资方法，Dragonfly 致力于加速区块链技术在全球范围内的增长和采用。Dragonfly包括Dragonfly Ventures、Dragonfly Liquid和Metastable。

Alpen Labs

基础设施

用零知识技术扩展比特币

fomo

DeFi

跨链交易应用

Capx AI

基础设施

人工智能基础设施

04

投资偏好

重仓 · 基础设施

合规基础设施重仓

偏向支持能为加密行业提供底层能力的项目，尤其是与金融基础设施、扩容和交易效率相关的方向。

消费级应用积极

对面向普通用户的加密产品保持关注，尤其是能把复杂链上能力包装成简单体验的应用。

比特币扩展看好

已投项目显示其认可用零知识等技术扩展比特币能力的路线，重视技术可行性与长期叙事。

AI 基础设施布局

对 AI 与加密交叉的基础设施方向有明确兴趣，偏好可服务开发者和新型应用栈的底层工具。

市场结构关注

对预测市场、永续合约等新交易形态保持跟踪，关注其流动性、监管边界与用户增长潜力。

05

投资活动

1 家 · 独角兽 0

2026/08/28

fomo · --

DeFi · 交易终端

--

2026/06/22

fomo · Series B

DeFi · 交易终端

$75.00M

2025/11/06

fomo · Series A

DeFi · 交易终端

$17.00M

06

关系网络

核心关系 · 合作 · 监管

核心平台

Dragonfly

管理合伙人

Haseeb Qureshi

合伙人兼 COO

Lindsay X. Lin

普通合伙人

Lawrence Diao

监管/市场外部联动

Ribbit Capital

联投机构

Castle Island

联投机构

Benchmark

早期项目

Alpen Labs

早期项目

fomo

Rob Hadick 以 Dragonfly 为核心，周边连接同事合伙人、共同投资机构，以及 Alpen Labs、fomo、Capx AI 等早期项目；其职业背景还带有传统金融与加密投资交汇的特征。

09

社媒动态

@HadickM · 0

Rob Hadick@HadickM · 11 天前赛道影响

The particularly interesting thing about the Instinct conversation is just how emblematic it is of the groupthink endemic in tech and venture. Instinct is, clearly, a product most people would like to see work. It works.. ok.. right now. But it's a easily inferior for most tasks people will use it for relative to other products that have existed for months. It's attacking a likely huge market, but also there obviously isn't a technical moat or network effect that makes this hard to copy, which I expect means it will become highly fragmented and distribution will reign supreme. With the right context it can be highly sticky and monetizable, but that stickiness will translate only to the power users and not the average or median user who will use it primarily to do things like make reservations, appointments, scheduling, etc - for those people it will matter more who they have the most affinity with (it won't be a number or whatsapp chat). The more complex tasks are not things that 90%+ of people will use or care about within even a venture timeframe. And it has zero users today who are not highly online, SF/NYC elites with a lot of curiosity and little product loyalty. I haven't met the founder but i'm sure everything everyone says about him is true, and he's played this marketing game (for VC attention) masterfully. But the demand for the venture rounds at those prices and the undiscerning fawning of the product as a visionary breakthrough shows how the incentives push so many of us to think that 1) being in the in crowd (through deals, conversation, etc) is what matters most and 2) bunching into "kingmade" deals at any price is an easier or better way to win this game vs. finding alpha. Everyone clearly learned that from OpenAI/Anthropic, but seems obvious to me that won't translate to consumer and enterprise products that sit on top of these models. Instinct may end up being a humongous winner and consumer tech giant, but currently it feels to me like more of a lesson in human psychology.