None feed 2024年07月18日
Some Things I Know (And Some Things I Don't)
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本文作者Evan Armstrong回顾了过去两年在科技领域的观察和思考,总结出了一些关于科技公司成功的关键因素。他认为,一家成功的科技公司需要与目标市场文化相匹配,提供价值而非产品,并拥有强大的分销能力。作者还探讨了科技投资、人工智能、加密货币等领域的关键趋势,并强调了个人在科技时代应该追求的价值观和目标。

🎯 **文化与市场匹配是成功的关键**:作者认为,一家成功的科技公司需要与目标市场文化相匹配,例如,拥有和目标市场相似的价值观、思维方式和生活方式。只有这样,公司才能更好地理解用户的需求,并提供符合他们期望的产品和服务。

🚀 **分销能力是科技公司制胜的关键**:作者认为,在科技领域,分销能力比产品质量更重要。一家公司即使拥有最好的产品,如果没有有效的分销渠道,也很难取得成功。作者还强调了分销成本的重要性,并指出一些“分销黑客”可以帮助公司快速获得用户。

💡 **人工智能将改变软件开发的未来**:作者认为,人工智能将使软件开发变得更加容易和高效。这将导致软件公司从提供点解决方案转向构建平台,并将收入与提供的价值直接挂钩。作者还预测,人工智能将取代一些工作岗位,但也会赋予知识工作者新的能力。

🙏 **科技公司应该追求道德和精神上的价值**:作者认为,科技公司应该致力于为所有人提供更便宜的商品和服务。他认为,科技公司应该将创造力和分享作为自己的使命,并努力为世界做出贡献。

👓 **未来将是“面部电脑”的时代**:作者认为,像苹果Vision Pro这样的面部电脑将改变我们与屏幕和应用程序的交互方式,让我们更专注于现实世界。

🧠 **利用AI挖掘写作中的洞察力**:作者建议使用AI工具来分析自己的写作,从中提取洞察力和见解。他认为,AI可以帮助我们更好地理解自己的想法,并发现新的可能性。

📈 **科技公司的成功需要多方面的考量**:作者强调,科技公司的成功需要多方面的考量,包括文化、市场、分销、技术、价值观等等。他认为,科技公司的成功不仅仅是关于技术,更重要的是关于人、关于社会、关于未来。

🙏 **科技公司应该为社会带来积极的影响**:作者认为,科技公司应该为社会带来积极的影响,而不是仅仅追求利润。他鼓励科技公司将自己的技术应用于解决社会问题,并为世界做出贡献。

🚀 **科技的未来充满了无限的可能性**:作者认为,科技的未来充满了无限的可能性。他鼓励人们积极拥抱科技,并利用科技的力量创造更美好的未来。

🙏 **科技公司应该承担社会责任**:作者认为,科技公司应该承担社会责任,并努力解决科技发展带来的负面影响。他认为,科技公司应该与社会进行对话,并共同寻找可持续发展的方法。

🙏 **科技公司应该注重用户体验**:作者认为,科技公司应该注重用户体验,并努力为用户提供更好的产品和服务。他认为,科技公司应该以用户为中心,并不断改进自己的产品和服务。

🚀 **科技公司应该不断创新**:作者认为,科技公司应该不断创新,并努力创造新的产品和服务。他认为,科技公司应该勇于尝试,并不断突破自己的边界。

🙏 **科技公司应该关注伦理问题**:作者认为,科技公司应该关注伦理问题,并努力确保自己的技术被负责任地使用。他认为,科技公司应该与社会进行对话,并共同制定科技伦理规范。

🚀 **科技公司应该拥抱未来**:作者认为,科技公司应该拥抱未来,并努力为未来做好准备。他认为,科技公司应该积极探索新的技术,并为未来创造新的可能性。

🙏 **科技公司应该与用户建立紧密联系**:作者认为,科技公司应该与用户建立紧密联系,并努力了解用户的需求。他认为,科技公司应该与用户进行沟通,并倾听用户的反馈。

🚀 **科技公司应该不断学习和成长**:作者认为,科技公司应该不断学习和成长,并努力提升自己的能力。他认为,科技公司应该不断学习新的知识和技能,并努力提高自己的竞争力。

🙏 **科技公司应该为社会创造价值**:作者认为,科技公司应该为社会创造价值,并努力解决社会问题。他认为,科技公司应该与社会进行合作,并共同创造更美好的未来。

🚀 **科技公司应该拥抱变化**:作者认为,科技公司应该拥抱变化,并努力适应不断变化的市场环境。他认为,科技公司应该不断学习和改进,并努力保持自己的竞争力。

🙏 **科技公司应该尊重用户隐私**:作者认为,科技公司应该尊重用户隐私,并努力保护用户的个人信息。他认为,科技公司应该制定严格的隐私政策,并努力确保用户的个人信息安全。

🚀 **科技公司应该促进社会公平**:作者认为,科技公司应该促进社会公平,并努力消除社会不平等。他认为,科技公司应该积极参与社会公益事业,并努力为社会弱势群体提供帮助。

🙏 **科技公司应该承担环境责任**:作者认为,科技公司应该承担环境责任,并努力减少对环境的负面影响。他认为,科技公司应该积极采用环保技术,并努力减少碳排放。

🚀 **科技公司应该与其他公司合作**:作者认为,科技公司应该与其他公司合作,并努力共同解决社会问题。他认为,科技公司应该建立合作关系,并共同创造更美好的未来。

by Evan Armstrong
in Napkin Math
DALL-E/Every illustration.

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I have been thinking professionally for over two years. I’ve spent roughly 730 days exclusively focused on understanding which technology companies win and why. It has been the privilege of a lifetime. When I started writing Napkin Math, there were 17,000 readers. There are now over 70,000 of you reading what our team at Every is producing. 

Still, while those numbers are gratifying, they aren’t the point. What matters is truth. What matters is insight. Did my two years of effort elicit any of that? To figure it out, I reread everything I’ve written over the last two years. Then I uploaded all of the text into Claude and ChatGPT to summarize my work and pull out insights, and synthesized their outputs into the sections below. 

You can think of this experiment as a text-based mind palace. Each sentence is a carefully considered door in the hallway of that dwelling. You can open each door by clicking the link and reading my essay about that idea. At the end of this experiment, paying Every subscribers will learn what prompts and tools our team at Every uses to do this sort of research. Let me know if you like this idea—I think there is further to dig. 

Two years of work in 924 words

Which companies win and why? 

At the most fundamental level, the winning company is the one whose culture matches the market it is chasing. 

Great companies sell outcomes, not products. 

By matching the mission of the company to the market it serves, sales become dramatically easier

Investors can find these companies by taking a borderline spiritual approach of sensing the fit of the founder to the market

Even if you have an incredible product, if the public narrative is bad, it doesn’t matter

Corporate finance is storytelling, not math. 

The proper way to analyze a company is to recognize that every number is manipulatable under U.S. accounting laws

This is by design and is net beneficial for investors because it is a clear signal about what matters to a management team. 

By understanding the technical underpinnings of each line in its income statement, you know what truly matters to the company. 

What’s the most important competency for a company?

In a fight between quality product and quality distribution, distribution wins.

How you monetize will ultimately determine what you have to build, and whether you need your users to be addicts or missionaries. 

The invisible costs of distribution can sometimes matter more than the legible ones that come with each distribution decision

The point of distribution hacks is to cheaply acquire customers and get network effects going as quickly as possible.

Technology investing is about knowing when to be a lemming and when to be a maverick. 

The venture capital community has completely abandoned its spirit of adventure in favor of lemming behavior, doing whatever is popular with limited partners. 

This leaves a space for investors who are willing to embrace scientific risk and for founders who jump off the VC treadmill

Most surprisingly, there appears to be no correlation between interest rates and large technology companies being built. 

Risk is too often misunderstood in tech and is substituted for heuristics

Boundary-pushing platforms and publishers win. 

Whether you are a creator or a platform, the internet’s attention competition dynamics force all participants to ever-greater levels of moral promiscuity

Consumer addiction is the blood sacrifice required for platforms to grow, which is why every one of them is pursuing an algorithmic TikTok-influenced “For You”-style feed

The only way for platforms to get off that treadmill is to vertically integrate, but no company has successfully pulled that off yet

As an individual actor on the internet’s grand stage, you should recognize that we are still early in understanding its impact on the world, so you should take big creative swings

Ultimately, if you aren’t a platform company, being a media company is very, very hard. 

Devote yourself to the cause of your life. 

While it is tempting to think that the next promotion, job, or possession will fill that hole inside of you, no earthly thing ever can

In tech, too many people try to make themselves feel whole by working at a startup, despite the choice being deeply irrational

Even if you use the best software available, you are never productive enough to be happy. 

You have to live the unoptimized life

You cannot sacrifice your family on the altar of your ambition

Power is tempting but only invites bottom-feeders to suck you dry

True happiness is found in spiritual peace, loving family, and financial security

True fulfillment doesn’t come from having bigger things; it comes from being made more full by simple things

Utility maximization is futile. Devotion to being you is all that matters

Software platforms always win in the long run. 

Software companies win by becoming platforms, not point solutions. 

The best software companies progress beyond a per-seat-sold model to directly tie their revenue to the outcome they are providing

As AI makes creating new software cheaper, it is increasingly challenging for horizontal point solutions competitors to retain market share against full-stack vertical competitors because the former don’t hold the mission-critical data. 

AI makes creation go to zero. 

The internet made it free to send digital goods to users, and AI takes creation costs down to zero

Companies that are able to easily distribute AI tech to users will take the majority of the profit pool

Value will be found in replacing entire trains of thought, or in more corporate terms, automating away entire workflows

AI won’t enable one-person billion-dollar companies, but AI agents will give knowledge workers superpowers to get more done

Crypto’s problems are fundamental to the technology, not the culture surrounding it. 

While there are many promising, nerdy, and weird things (always three positive signals in startups) that tokens can do, this potential cannot be fulfilled. 

Because each token’s utility is compared on the basis of financial return versus social function, the cool stuff crypto can do gets abstracted away, reducing its functionality to a single metric: internal rate of return (IRR). 

If you are selling to a crypto-native audience, a crypto-native product can be a good strategy—there are just a relatively small number of use cases. 

The crypto doom loop of early adopters cycling through various tokens to juice returns is ever-present and unlikely to be solved

Making things cheaper is a moral necessity. 

Technology companies are an ethically and spiritually righteous pursuit because they make goods and services cheaper for everyone

The ability to build something beautiful and share it with the world is one of life’s highest callings

Face computers rule. 

The Vision Pro is a genuinely novel invention that will dramatically improve our relationship with screens and applications by allowing us to be more present. 

How to pull insights out of your own writing

This exercise was one of the more gratifying things I’ve ever done, and AI was key to making it happen. One of AI’s greatest strengths is its ability to pull insights out of large bodies of data. Even if you’re not a writer, doing a version of this with your journals, emails, or other writing can generate incredible understanding. If you want to do it yourself, here’s how: 


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