CyberCat

科技与投资 深度访谈😼 | Deep dives on Tech & Investing💰

[Shai Wininger @shai_wininger]

Lemonade Autonomous Car is now live in Indiana.

@Tesla owners, you’re probably paying too much for your car insurance. Fix it here: https://t.co/q0UOjWNNgk

[CyberCat @CyberCatX]

@XiaoZha62335239 讲真可能我真的没有足够的能力圈和conviction和去买算力股，特别是在现在全民狂欢的日子里。

[CyberCat @CyberCatX]

看到很多投资者戏称 $TSLA 是老登股，最近5年回报还不及大盘。
股价来看老登无疑。 但 $TSLA 缺乏创新和潜力了吗？我不这么认为， $TSLA 处在痛苦的转型阶段，账面上来看 特斯拉仍然是最有机会大规模落地Robotaxi 和 人型机器人的公司。

但转折点在何时发生？我也不清楚，改变物理世界真的不容易。好在我均价够低，大部分仓位都在2018-19年建立，心态上我已经做好了再吃苦3年的准备，个人认为没有财务的兑现认为股价短期会暴增也只是wishful thinking。

[CyberCat @CyberCatX]

@onenewbite $TSLA — 老登们的养老金首选

[CyberCat @CyberCatX]

完全认同：
（1）大模型公司不能吞并一切，AI原生应用公司会崛起。
（2）老巨头企业基本改变不了DNA，AI外包公司也改变不了。

如果你的公司是行业老牌巨头，正在进行一场AI革命，问问周边的同事他们感受到多少效率和产出提升？我最近问了不少，答案清一色是0，没有任何实质性改变。

[郭宇 guoyu.eth @turingou]

在 vibe 了五个多月之后，我不觉得 SOTA 模型公司有能力吃下所有软件，我也不站在使用 FDE 改造现的企业来挣点快钱的那一侧，相反的，我是坚定的 AI Native company 的支持者，我认为所有企业都会被 AI Native 的组织所替代，而我坚信这一变化会持续数十年，这些未来的软件公司，会创造本世纪最伟大的投资机会。

[Audit The Herd @AuditTheHerd]

How the $LMND community changed the way I look at investing

I come from a traditional accounting and finance background. For years, my investing framework was straightforward, read the financial statements, trust ratios, and if a company isn’t profitable or with easy vision to be, move on. That discipline served me well. It also created blind spots.

It was little more than a year ago that I started speaking to a lot of people within the lemonade community who said to give it another look. I did what I always did. I opened the 10-K, saw an insurance company losing money, and dismissed it outright. Insurance, in my mind, was a business that had to be profitable by definition. You underwrite risk, you price it correctly, and you earn a margin. If you can’t do that, you don’t have a business.

I didn’t look much further at the time. But the conversation stuck with me, and I eventually went back to do the work I should have done initially.

What I found wasn’t just a different company. It was a different way of thinking about what the financials were telling me.

**From net income to unit economics**

In accounting, we’re trained to evaluate the entity as a whole. Revenue less expenses. Margin analysis. Return on equity. Those tools are essential, but they can obscure what’s happening at the customer level, especially in businesses built to scale.

With Lemonade, the consolidated P&L was negative. But the unit economics told a different story. I started asking different questions:

1. **What does it cost to acquire a customer, and what is that customer worth over time?** Lemonade’s LTV/CAC was stronger than I assumed.

2. **Is the loss ratio improving as the data set grows?** The answer was yes, steadily.

3. **Do customers stay and buy more?** Retention was high, and the cross sell from renters to pet, home, and car insurance was material.

4. **Does the model gain efficiency with scale?Automation was driving real leverage in operations and claims.

I understood these concepts from other sectors. I had simply chosen not to apply them here because “insurance” felt like it belonged to a different rulebook. That was my mistake.

**The three things I missed the first time**

Looking back, three factors fundamentally shifted my view:

1. **Aligned Incentives**: The giveback model is more important than you think. By taking a flat fee and donating unclaimed premium, Lemonade removes the conflict of interest baked into traditional insurance. That reduces fraud and builds trust which were two variables that directly improve unit economics.

2. **Technology as infrastructure**: Instant claims and policy issuance aren’t just good to haves. In many cases, they’re cost structure advantages. Lower loss adjustment expense and lower acquisition cost compound over millions of policies in a way legacy systems can’t match without a full rebuild.

3. **An intentional path to LTV**: Acquiring a 25 year old renter is expensive if you view it in isolation. It’s rational if that same customer becomes a homeowner, then adds pet and auto over a decade. Lemonade was unprofitable on day one by design.

**The lesson that stayed with me**

My background didn’t mislead me. It was just incomplete. Financial statements tell you what has happened. Unit economics tell you what is happening and what could happen next. Good investing lives in the gap between the two.

$LMND forced me to reconsider how I define “fundamentals.” Sometimes a company looks worst on paper right before the model proves out. If you only read the GAAP lines, you risk missing the business. If you only listen to the narrative, you risk ignoring reality. This has also helped me with my $TEM investment.

The right approach, I’ve learned, is to respect both. Understand the story, then pressure test it with the numbers but not just the net income line, but the economics of a single customer multiplied by millions.

That shift in mindset has stayed with me well beyond this one position.

[CyberCat @CyberCatX]

@kcw2022 CEO 认为long term的潜力是在AI 诊疗 algorithm。是的，整个industry包括保险都得逐步跟上，这个需要时间。短中期还是diagnostic检测和data business

[CyberCat @CyberCatX]

$TEM 解决的是人体医疗数据问题，系统性将分子数据和人体临床数据整合。数据—>模型—>insights。帮助医生制定个性化诊疗方案，帮药企筛选靶点/临床患者/药物，提高药物研发成功率。

为什么药物在有些病人体内有用而有些病人体内没用？
为什么药物在实验动物老鼠猴子有用而进了临床没用？
为什么二期临床有用，三期临床没用？
本质上就是人体疾病缺乏了解，没能建立causation。

AI精准医疗是未来，但精准依赖于模型预测，好的模型依赖于海量人体数据。包括了分子检测数据和临床数据。Tempus 一方面帮医院做检测产生海量分子检测数据，一方面打通医院连结拿到相对应病人的诊疗数据，因果数据形成闭环。

[冰冻西瓜🍉 @hawtim_z]

@CyberCatX tem 的逻辑到底是什么呢

[CyberCat @CyberCatX]

@Sisymithus 是的，而且是多模态上下文。像你说的门槛极高，因为涉及到物理世界（检测实验室/打通医院数据管道/FDA监管）。

[CyberCat @CyberCatX]

@realMrBuer 有index，在另一个账户

[CyberCat @CyberCatX]

近三年的账户表现：多次大幅度回撤，个股腰斩是常态，个股主要就三个公司 $TSLA $LMND $TEM ，BTW 今年年初到现在仍然是亏的。但选择成长基本上就是选择了忍受短期的痛苦，延迟享受。每一次大幅回调就是复盘投资逻辑，自省的最好契机，如果投资逻辑没变就继续持有。当然随着年龄的增长我也正在学习如何去更好的控制风险，每个周期都要有所成长。

[Elon Musk @elonmusk]

Cybercab driving itself out of the GigaTexas factory

[CyberCat @CyberCatX]

@Neil_X10 The $LMND crew only gets stronger🫡

[CyberCat @CyberCatX]

@Ironic_Ape Thanks for your great work Ape 🫡

[CyberCat @CyberCatX]

@bj23air 💪💪

[CyberCat @CyberCatX]

It’s sad to say goodbye to this great LMND X community. I’ve learned so much from everyone here. One thing I truly believe is that $LMND will moon regardless 🚀

Let’s continue sharing ideas and discussing $LMND by using tags $LMND #LMNDCommunity #Lemonapes 🍋 and connecting in @PaperBagInvest’s Discord. Looking forward to continuing the journey with many of you. 😊