Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbit發佈於 2026-06-20更新於 2026-06-20

文章摘要

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improve...

Author: Imran

Translation: Jiahuan, ChainCatcher

Sitting in front of your computer, an entrepreneurial idea sparks. You see Cursor selling for $600 billion to Elon Musk. Perhaps the idols of the previous generation were Mark Zuckerberg or Evan Spiegel. You look at these founders and can't help but compare yourself to them. They don't seem much smarter than you. Their resumes aren't much more impressive than yours.

So you naturally ask yourself: Why can't I do the same? This is where most founders begin their journey. But this is also where most founders get stuck.

They see AI. They see crypto. They see thousands of startups that have already raised funding. Every space seems crowded. Every obvious idea has already been implemented.

They conclude: opportunity has run dry.

So they close their laptop, give up, and walk away.

This is how a huge portion of startups die in the womb. Not because the founders weren't capable, but because they thought the game was over before it even started.

Let's take Cursor as an example. Not every path is a direct and smooth one.

As early as 2022, Cursor began the "eating glass" grind. This was before ChatGPT existed. There was no ready-made playbook. No obvious market. Just a belief that AI would fundamentally transform knowledge work.

To stay grounded, they focused on three things. First, they picked a space they were genuinely excited about: AI. Second, they were their own customer. Third, they focused relentlessly on power users.

Because if you can win the power users, the rest becomes easy. Honestly, this story is not unique to Cursor.

Stripe started when online payments seemed solved, but the founders believed developers would increasingly become decision-makers inside companies, and whoever won developers would eventually win the internet. They had experienced the pain point themselves. While PayPal had proven online payments could work, Stripe saw the opportunity to build a "developer-first" version of that future.

Figma spent years building before the market was ready because they believed the future of design wasn't about better single-player design tools, but about everyone working together in the same file. Google Docs had shown the power of real-time collaboration for documents. Figma extended that insight to design.

Shopify started just to sell snowboards online because the founders believed millions of small businesses wanted to own their customers, their brand, and their destiny, rather than depend on big platforms. Amazon had proven centralized e-commerce worked. Shopify bet entrepreneurs would eventually want to be in the driver's seat.

Different products. Same pattern.

Each founder started with a non-consensus belief about where the world was headed, then spent years quietly building before that future became obvious to everyone. Their luck was catching a strong tailwind.

For Stripe, it was the conviction that more and more commerce would move online. For Figma, it was the belief that software would be cloud-first and collaborative by default. For Shopify, it was the hope that the internet would empower millions of entrepreneurs to build independent businesses.

Cursor followed a similar trajectory. The company was built on the belief that AI would fundamentally reshape knowledge work, and that software engineers would be the first power users to adopt it. The product feels obvious today, but when they started, there was no clear roadmap. Just belief.

Different products. Different markets. Same underlying logic.

Identify a long-term trend shift early, find the entry point others missed, spend years executing before the rest of the market catches up. Where there is Yang, there must be Yin. PayPal gave birth to Stripe. Adobe gave birth to Figma. Amazon gave birth to Shopify.

The first-generation product proved the market exists. The second generation rebuilds it around a new insight, new technology, or changing customer behavior. For founders, the important question is figuring out where you are in the cycle. If you're early, like Coinbase or Cursor, your opportunity is usually about making new technology practically useful for power users.

Coinbase didn't invent cryptocurrency. It just made buying and holding Bitcoin infinitely easier than managing your own wallet or wiring money to Mt. Gox.

Cursor didn't invent AI programming. It just realized autocomplete wasn't the endgame, and developers truly wanted an AI-native way of building software.

But if you're entering in the mid-to-late stages of a technological change, the opportunity often looks different. Infrastructure exists. The market is proven. Your job isn't to prove the technology works, but to find the 'yin' to the existing 'yang' — the blind spot the first players missed. Many of the greatest companies are born here.

Now you've identified your place in the technological change. You have a few ideas and are ready to get started, but then you realize something unsettling: you don't actually have many unique insights. You don't have a deep understanding of the market, the customers, or even the product. And that's perfectly normal.

This is when you must roll up your sleeves and start building your network, insights, and reputation. Thankfully, we live in an era where with X (Twitter), this is easier than ever. You can build an audience, meet customers, engage with power users, and learn directly from the people shaping the market.

The first thing I would do is use every product in the space. If you're starting a company in a category but aren't a power user of the leading products, it's hard to develop a unique perspective on where the market is headed. Map out every product in the ecosystem. Become a power user of each. Talk to people who love them, hate them, and have given up on them. Figure out why they stay, why they leave, and what they wish existed that doesn't.

You'll eventually discover that most markets aren't won because incumbents are stupid. They are displaced precisely because they became successful.

As companies grow, they naturally move further away from the individual user. Feedback cycles lengthen, edge needs are ignored, and a new generation of power users emerges that doesn't fit the existing product. This is where sharp founders spot the opportunity.

The goal isn't to think up an idea in isolation. The goal is to immerse yourself in the market until the missing piece becomes obvious. Once you do this long enough, you'll stop looking for ideas and start noticing them everywhere. This is the state you want to reach. You'll eventually find there are more opportunities than you could ever possibly pursue.

Next is the hard part: choosing one.

Once you've settled on an idea you believe is right, the next question is simple: Is this a 10x improvement, or a hair-on-fire pain point? If the answer is no, don't bother. People rarely switch products for marginal improvements. They switch when something is dramatically better, or when the pain is so severe it demands an immediate solution.

The easiest way to find hair-on-fire pain points is to look for people already hacking together workarounds. Spreadsheets, WhatsApp groups, manual processes, copying data between systems — these are all signals.

The best founders look for pain, because when the pain is big enough, customers will rip the product out of your hands. And when the pain is trivial, no amount of marketing, growth hacking, or clever positioning will save you.

Now you've validated the idea, found the pain, and are building the MVP.

With Claude, Codex, and all the AI tools, building has never been easier. Ironically, this becomes its own trap.

I found myself adding features just because I could. The product slowly became a Frankenstein monster. Every feature made sense in isolation, but together they made the product worse.

Eventually I went back to first principles. The most important question isn't what feature I should build. It's why someone would abandon their existing tools to use yours.

Every great startup has an answer to this. Cursor could have built another coding plugin. Instead, they forked VS Code. Developers already loved this editor, knew how it worked, and had it embedded in their workflow.

Cursor didn't ask users to learn something completely new. It let them keep doing what they already loved, just with AI baked directly into the experience.

The best startups rarely force users to learn completely new behaviors. Instead, they find familiar workflows, remove friction, and make them dramatically better.

As founders, we obsess over what we're building. Customers care about what they have to give up. The lower the switching cost, the higher the value created, the faster the adoption. That's why the best MVPs aren't feature-rich. They're incredibly focused, giving customers a single, undeniable reason to switch.

By this point, you've found the pain, built the MVP, and hopefully given customers a strong reason to choose you. Next is the part most founders underestimate: distribution.

I've seen founders spend months on product and five minutes thinking about how users will find it. The truth is, distribution is often the moat.

Airbnb didn't win because it had a better website. The founders knocked on doors, personally photographed apartments, and manually seeded cities one by one. Stripe recruited developers one by one. Coinbase was in Bitcoin forums long before crypto went mainstream.

Cursor is another perfect example. Their team posted on Hacker News six times. Most posts sank without a trace. They DM'd thousands of developers, listened to feedback with extreme patience, and won users one by one.

Today everyone says Cursor's success was inevitable. But for years, they did unscalable, manual work.

Founders love talking about product-market fit, but before product-market fit, you have to solve distribution-market fit. Where do your customers spend time? Who do they trust? How do they discover new products? The best founders don't just build product. They build distribution engines. Because the market can't fall in love with a product it's never seen.

The final stage of all this is grit, resilience, and refusing to quit.

Sadly, I can't teach you this. No one can. It can only be learned through experience.

Cursor is again a perfect case. They spent years building before the market matured. They posted repeatedly, DM'd thousands of users, and were ignored by most. In hindsight, it all makes sense. At the time, the future was far from certain.

The same pattern is everywhere.

Airbnb's founders were repeatedly rejected and even resorted to selling cereal boxes to keep the company alive.

Nvidia faced near-death experiences multiple times before becoming one of the world's most valuable companies.

Rain, a company in our incubator batch, was born after the FTX collapse, when most thought crypto was dead. While others fled the industry, they kept building. Years later, they raised over $100 million at a $2 billion valuation.

The lesson isn't that these founders are smarter than you. It's that they stayed in the game long enough for their insights to compound.

So, I've laid out the whole framework for you.

Look for shifts in technology cycles. Cultivate unique insights. Obsess over your market. Talk to customers. Find hair-on-fire pain points. Build the simplest possible wedge. Win your distribution.

And most importantly, when it gets hard, absolutely do not quit.

That's it.

There's no secret. Most people can't do these things consistently, for a long period of time. The very few who do end up building the great companies that the next generation of founders study.

The world is yours.

Go build.

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相關問答

QAccording to the article, what is a common mistake that aspiring founders make when they see successful tech giants like Cursor?

AThe article states that aspiring founders often conclude that all the opportunities have been taken and the game is over, leading them to give up before even starting. This is a primary reason why many startups die prematurely, not due to a lack of founder talent but because they mistakenly believe there is no space left for innovation.

QThe article mentions a consistent pattern followed by companies like Cursor, Stripe, and Figma. What are the key elements of this pattern?

AThe pattern is: 1) Start with a non-consensus belief about the future direction of the world (e.g., AI will reshape knowledge work, developers will be key decision-makers, design will be collaborative). 2) Spend years building for that future in obscurity before it becomes obvious to everyone else. Their success hinges on riding a powerful tailwind, such as the shift to online commerce or cloud-native software.

QWhat is the 'yin' to the 'yang' strategy mentioned for founders entering a market in its middle or later stages?

AFor founders entering in the middle or later stages of a technology shift, the opportunity lies in finding the 'yin' to the existing 'yang.' This means identifying the blind spots or unmet needs of the first-generation players who have proven the market. Great companies are built by reconstructing the market around a new insight, technology, or changing customer behavior that the incumbents have overlooked.

QWhat does the article suggest is more important than product-market fit in the early stages, and why?

AThe article suggests that before achieving product-market fit, founders must first achieve 'channel-market fit.' This refers to figuring out the distribution channel. The author argues that the distribution channel is often the moat because customers cannot fall in love with a product they never see. Founders must build not just a product, but a distribution engine to reach their customers effectively.

QWhat final, crucial quality does the article say cannot be taught but is essential for founder success, using Cursor as an example?

AThe final, crucial quality is resilience, grit, and the refusal to give up. The article emphasizes this cannot be taught, only experienced. Using Cursor as an example, it highlights that they spent years building before the market was ready, faced repeated rejection (like ignored Hacker News posts and DMs), and persisted through difficult periods where the path forward was unclear.

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什麼是 $S$

什麼是 AGENT S

Agent S:Web3中自主互動的未來 介紹 在不斷演變的Web3和加密貨幣領域,創新不斷重新定義個人如何與數字平台互動。Agent S是一個開創性的項目,承諾通過其開放的代理框架徹底改變人機互動。Agent S旨在簡化複雜任務,為人工智能(AI)提供變革性的應用,鋪平自主互動的道路。本詳細探索將深入研究該項目的複雜性、其獨特特徵以及對加密貨幣領域的影響。 什麼是Agent S? Agent S是一個突破性的開放代理框架,專門設計用來解決計算機任務自動化中的三個基本挑戰: 獲取特定領域知識:該框架智能地從各種外部知識來源和內部經驗中學習。這種雙重方法使其能夠建立豐富的特定領域知識庫,提升其在任務執行中的表現。 長期任務規劃:Agent S採用經驗增強的分層規劃,這是一種戰略方法,可以有效地分解和執行複雜任務。此特徵顯著提升了其高效和有效地管理多個子任務的能力。 處理動態、不均勻的界面:該項目引入了代理-計算機界面(ACI),這是一種創新的解決方案,增強了代理和用戶之間的互動。利用多模態大型語言模型(MLLMs),Agent S能夠無縫導航和操作各種圖形用戶界面。 通過這些開創性特徵,Agent S提供了一個強大的框架,解決了自動化人機互動中涉及的複雜性,為AI及其他領域的無數應用奠定了基礎。 誰是Agent S的創建者? 儘管Agent S的概念根本上是創新的,但有關其創建者的具體信息仍然難以捉摸。創建者目前尚不清楚,這突顯了該項目的初期階段或戰略選擇將創始成員保密。無論是否匿名,重點仍然在於框架的能力和潛力。 誰是Agent S的投資者? 由於Agent S在加密生態系統中相對較新,關於其投資者和財務支持者的詳細信息並未明確記錄。缺乏對支持該項目的投資基礎或組織的公開見解,引發了對其資金結構和發展路線圖的質疑。了解其支持背景對於評估該項目的可持續性和潛在市場影響至關重要。 Agent S如何運作? Agent S的核心是尖端技術,使其能夠在多種環境中有效運作。其運營模型圍繞幾個關鍵特徵構建: 類人計算機互動:該框架提供先進的AI規劃,力求使與計算機的互動更加直觀。通過模仿人類在任務執行中的行為,承諾提升用戶體驗。 敘事記憶:用於利用高級經驗,Agent S利用敘事記憶來跟蹤任務歷史,從而增強其決策過程。 情節記憶:此特徵為用戶提供逐步指導,使框架能夠在任務展開時提供上下文支持。 支持OpenACI:Agent S能夠在本地運行,使用戶能夠控制其互動和工作流程,與Web3的去中心化理念相一致。 與外部API的輕鬆集成:其多功能性和與各種AI平台的兼容性確保了Agent S能夠無縫融入現有技術生態系統,成為開發者和組織的理想選擇。 這些功能共同促成了Agent S在加密領域的獨特地位,因為它以最小的人類干預自動化複雜的多步任務。隨著項目的發展,其在Web3中的潛在應用可能重新定義數字互動的展開方式。 Agent S的時間線 Agent S的發展和里程碑可以用一個時間線來概括,突顯其重要事件: 2024年9月27日:Agent S的概念在一篇名為《一個像人類一樣使用計算機的開放代理框架》的綜合研究論文中推出,展示了該項目的基礎工作。 2024年10月10日:該研究論文在arXiv上公開,提供了對框架及其基於OSWorld基準的性能評估的深入探索。 2024年10月12日:發布了一個視頻演示,提供了對Agent S能力和特徵的視覺洞察,進一步吸引潛在用戶和投資者。 這些時間線上的標記不僅展示了Agent S的進展,還表明了其對透明度和社區參與的承諾。 有關Agent S的要點 隨著Agent S框架的持續演變,幾個關鍵特徵脫穎而出,強調其創新性和潛力: 創新框架:旨在提供類似人類互動的直觀計算機使用,Agent S為任務自動化帶來了新穎的方法。 自主互動:通過GUI自主與計算機互動的能力標誌著向更智能和高效的計算解決方案邁進了一步。 複雜任務自動化:憑藉其強大的方法論,能夠自動化複雜的多步任務,使過程更快且更少出錯。 持續改進:學習機制使Agent S能夠從過去的經驗中改進,不斷提升其性能和效率。 多功能性:其在OSWorld和WindowsAgentArena等不同操作環境中的適應性確保了它能夠服務於廣泛的應用。 隨著Agent S在Web3和加密領域中的定位,其增強互動能力和自動化過程的潛力標誌著AI技術的一次重大進步。通過其創新框架,Agent S展現了數字互動的未來,為各行各業的用戶承諾提供更無縫和高效的體驗。 結論 Agent S代表了AI與Web3結合的一次大膽飛躍,具有重新定義我們與技術互動方式的能力。儘管仍處於早期階段,但其應用的可能性廣泛且引人入勝。通過其全面的框架解決關鍵挑戰,Agent S旨在將自主互動帶到數字體驗的最前沿。隨著我們深入加密貨幣和去中心化的領域,像Agent S這樣的項目無疑將在塑造技術和人機協作的未來中發揮關鍵作用。

868 人學過發佈於 2025.01.14更新於 2025.01.14

什麼是 AGENT S

如何購買S

歡迎來到HTX.com!在這裡,購買Sonic (S)變得簡單而便捷。跟隨我們的逐步指南,放心開始您的加密貨幣之旅。第一步:創建您的HTX帳戶使用您的 Email、手機號碼在HTX註冊一個免費帳戶。體驗無憂的註冊過程並解鎖所有平台功能。立即註冊第二步:前往買幣頁面,選擇您的支付方式信用卡/金融卡購買:使用您的Visa或Mastercard即時購買Sonic (S)。餘額購買:使用您HTX帳戶餘額中的資金進行無縫交易。第三方購買:探索諸如Google Pay或Apple Pay等流行支付方式以增加便利性。C2C購買:在HTX平台上直接與其他用戶交易。HTX 場外交易 (OTC) 購買:為大量交易者提供個性化服務和競爭性匯率。第三步:存儲您的Sonic (S)購買Sonic (S)後,將其存儲在您的HTX帳戶中。您也可以透過區塊鏈轉帳將其發送到其他地址或者用於交易其他加密貨幣。第四步:交易Sonic (S)在HTX的現貨市場輕鬆交易Sonic (S)。前往您的帳戶,選擇交易對,執行交易,並即時監控。HTX為初學者和經驗豐富的交易者提供了友好的用戶體驗。

1.8k 人學過發佈於 2025.01.15更新於 2026.06.02

如何購買S

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