Overall influence
29 / 100
Lydia Wu
@HelloLydia13Particle Network Research
Lydia Wu is a researcher at Particle Network and previously worked as a research analyst at Mint Ventures. With a master’s degree in Journalism and Communication from Peking University, she stands out for combining crypto research with strong narrative and communication skills.
Career years
1 yearsAffiliated organizations
--Personal investments
--Media exposure
82 times / monthNet worth
--01
Person Profile
Lydia Wu is a researcher at Particle Network and previously worked as a research analyst at Mint Ventures. With a master’s degree in Journalism and Communication from Peking University, she stands out for combining crypto research with strong narrative and communication skills.
Research-led and relatively cautious, she appears to value narrative clarity and fundamental validation over fast trading or aggressive bets. Her decision-making likely favors well-supported ideas and lower-risk conviction building.
Recent public attention has centered on her research work at Particle Network, continuing her focus on crypto infrastructure and industry narratives. There is no verifiable sign of frequent investing activity or major media events.
Birthplace--
EducationJournalism and Communication from Peking University
Career years1 years
Affiliated organizations--
Personal investments--
Media exposure82 times / month
AI Style ProfilePragmatic · Research-oriented · Low visibility
Dominant TraitPragmatic
Strong at research and information synthesis, with a preference for coherent logic and verifiable signals over emotional momentum chasing.
Comparative EdgeResearch-oriented
Her background combines research experience with communication training, helping her turn complex crypto topics into clearer industry judgme
Primary DebateLow visibility
She has limited public investment disclosure, making it harder for outsiders to assess her portfolio choices or trading style; her influence
02
Career
Particle Network Research
Lydia Wu works in research at Particle Network and was previously a researcher at Mint Ventures.
03
Related Entities
No related entity data
04
Investment Preferences
Compliant InfrastructureWatchlist
Based on her current research direction, she is more likely to focus on infrastructure and protocol-layer opportunities built for long-term
Research-driven NamesPreferred
She likely favors projects with clear product logic, technical pathways, and market positioning, and pays close attention to information qua
Narrative ValidationImportant
She appears to care about whether a project’s story is backed by real progress, avoiding ideas that remain purely conceptual.
Risk ControlCautious
Her overall style looks conservative, prioritizing explainability and downside risk management over high-volatility or leveraged positioning
05
Investment Activity
No investment activity data
06
Network
Current org
Particle Network
Former org
Mint Ventures
Education
Peking University
Career focus
Research
Industry circle
Crypto ecosystem
Visibility
Public profile
Lydia Wu is mainly connected to the research circles around Particle Network and Mint Ventures. Her public profile points to a research-focused career in crypto, while no clear colleague, co-investment, or early-project network is disclosed, so the map is centered on her institutional background and research role.
News Updates
Live syncLoading...
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Social Activity
@HelloLydia13 · 0
Lydia Wu@HelloLydia13 · 17 days agoSector impactPresto 成立于 2014 年，是亚洲最大的 crypto 量化交易公司，也是目前市场上唯一有能力为韩股 perp 持续提供机构级流动性的做市商。 此次 Presto 和 Aster 的合作，最直接意义是给 Aster 的韩股市场提供深厚的流动性支持，把对韩国本土市场的理解，以及十多年积累的执行经验链接到 Aster Chain. 全球股票 perp 依然非常早期，行业里不时的极端行情不断提醒我们这一点。把 ticker 搬上链只是第一步，真正考验能力的是运营一个长期可交易，极端行情站得住脚的优质市场。 Aster 在 RWA 市场上的运营哲学基本上遵循 AOS 的理念，用标准代替审核，但平台责任不外包，用市场质量的结果说话。 🤌了解我们的 RWA mm 10x maker 计划：https://t.co/riQmf3YHDr 🤌了解最新的韩股 $SKHYNIX $SAMSUNG 交易活动: https://t.co/RXHliczGcA
001557
AI: Theme-oriented investment view, reinforcing conviction in infrastructure and new narratives.
Lydia Wu@HelloLydia13 · 24 days agoSector impactRT @Aster_DEX: Every time a trader can do one more thing on-chain, the frontier moves. H1 2026 marked a new chapter for Aster. Aster Chain…
059051
AI: Theme-oriented investment view, reinforcing conviction in infrastructure and new narratives.
Lydia Wu@HelloLydia13 · 2026/07/16Opinion output@skmt12565895 ご不便をおかけして申し訳ありません。詳しい状況を確認したいので、私にDMしていただけますか？可能であれば、画面録画やスクリーンショットもお願いします。
00160
AI: Continues the public long-term stance, emphasizing execution efficiency and industry direction.
Lydia Wu@HelloLydia13 · 2026/07/15Opinion output@0xJingleMingle 妈妈
00141
AI: Continues the public long-term stance, emphasizing execution efficiency and industry direction.
Lydia Wu@HelloLydia13 · 2026/07/15Opinion output@0xJingleMingle 肯定是因为我面相和善啦，这还问啥为什么
100402
AI: Continues the public long-term stance, emphasizing execution efficiency and industry direction.
Lydia Wu@HelloLydia13 · 2026/07/15Opinion output@lin_btc 一个前额叶博主，你一搜就知道
10171
AI: Continues the public long-term stance, emphasizing execution efficiency and industry direction.
Lydia Wu@HelloLydia13 · 2026/07/15Opinion output我们行业主流的 growth 打法（空投，交易活动，降费、上币等）的心智模型是比数值：我有的属性你没有，都有的属性我更强，用户永远流向有且优的地方。 但和用户打交道越久，越发现理性计算的力量被系统性高估。 有时候人的爱恨就是无缘无故的，我会因为“面相不好”取关一个知识博主，哪怕他讲的东西有用。 所以在一个相对成熟（aka 供应端比较卷的比如 meme, perp）的市场获客，猛抓差异点抢各种第一、唯一不一定是好的增长思路。 反过来让用户觉得熟悉但又有点不一样/学习成本不高，情绪价值给到/用起来舒舒服服的，可能才是对的。
40131.9K
AI: Continues the public long-term stance, emphasizing execution efficiency and industry direction.
Lydia Wu@HelloLydia13 · 2026/07/15Opinion output@LamIsRealGoat 收到，我们看看怎么优化下
00035
AI: Continues the public long-term stance, emphasizing execution efficiency and industry direction.
Lydia Wu@HelloLydia13 · 2026/07/15Opinion output《包教包会，价值 $15,000 的 bstock 做保证金开单教学》 这个活动本质上就是手把手勾引大家走一次充值 bstock - 打开联保 - 交易任意 perp 的流程。形态类似于奶奶去村委会领鸡蛋顺便参加反诈培训，双赢、双赢。 1）把至少 100U $SKHYB (聪明的你肯定知道去哪买）充值进 Aster Perp 账户，打开联保 2）在 Aster Perp 交易任意交易对双边交易量超过 1000U。 奖金根据持有 $SKHYB 的数量和时间来分。 熊市创新不易，用户教育更是得嘴手心脑加上钱包一起动，姿态越妖艳越好，动作越舒展越好。
3072.6K
AI: Continues the public long-term stance, emphasizing execution efficiency and industry direction.
Lydia Wu@HelloLydia13 · 2026/07/15Opinion output@Metabape @variational_io @linenmito 笔法过于浪漫以至于让本 i 人第一次产生了参加聚会的想法
101431
AI: Continues the public long-term stance, emphasizing execution efficiency and industry direction.
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