쉐도잉 연습: The ‘Old Rules’ of SaaS Still Win - 영상으로 영어 말하기 배우기

레슨 만드는 중...
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I see a lot of keyboard warriors out there shouting that AI is changing everything about SaaS, that the old rules are dead, that if you're not building AI native, you're already obsolete.
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They're f*ing wrong.
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After building multiple SaaS companies and investing in over 230 more, I can tell you there are fundamentals that haven't changed.
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If you ignore these, no amount of AI is going to save you.
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And one of them, AI is actually making it worse, not better.
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Now I want to be clear, I'm not saying AI doesn't matter.
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It's actually the biggest change to SaaS I've seen in my 20 years of doing this.
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You can build faster, test cheaper, ship more often.
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But those are tools.
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The fundamentals, the stuff that actually determines whether your business survives, those haven't changed.
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The first is you still have to solve a problem people care about.
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AI makes it easy to build solutions, but solutions without painful problems are just toys.
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Problem-solution-fit hasn't gone anywhere, and I'd argue it matters more now than ever.
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If you solve a problem that isn't painful enough for your customers, faster coding doesn't save you.
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In our last batch of companies that we funded through my SaaS accelerator, TinySeed, we reviewed hundreds and hundreds of AI-powered applications.
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And we funded, wait for it, three.
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The difference wasn't the AI, it was whether they'd found a real problem.
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The question hasn't changed.
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Would someone pay for this if it didn't have AI in the H1 or in in the description or anywhere in the code.
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Number two, you still have to talk to customers.
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AI makes it easy to feel like you've done customer research.
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You can scrape Reddit.
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You can summarize the complaints, generate a list of pain points, but that's not research.
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That's homework avoidance.
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Real product sense comes from talking to real people, and there's no shortcut for that.
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AI can analyze feedback at scale.
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It's true, but someone still has to understand the humans.
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You still have to talk to customers, gather feedback, and figure out what to build.
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This is the role of product.
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And AI will not do this for you.
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AI can summarize it, but someone still has to understand the humans, what they're saying, and what they're not saying.
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One of our Tiny Seed founders, Jason Buckingham, was a development manager at Microsoft.
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He wanted to build a SaaS, but he had no idea what to build.
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So he made 70 cold calls, not to validate an idea, but to find one.
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And out of those conversations, he discovered this whole world of senior living placement agents, basically realtors for elderly care, who are running their businesses on spreadsheets and sticky notes.
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With his co-founder, he built Senior Place.
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And because he actually talked to those people, he learned things no AI summary would ever surface.
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Like the fact that his average customer is a woman in her 50s or 60s who is, in her own words, not even acquainted with computers.
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That shaped everything about the product.
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You don't get that from a Reddit scrape.
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You get that from a phone call.
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Number three, you still have to market.
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AI can write your email your ads, your blog posts, it still can't make people care.
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Distribution is still the hard part.
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Marketing and sales are still the hard part and no tool is gonna do this for you.
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AI can help you produce that content.
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It can send outreach.
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I'm receiving dozens of these junky AI generated emails every day.
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It's not going to do distribution for you.
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You still need to think through and find a channel that works.
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You still have to earn attention.
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The founders who win aren't the ones with the best AI tools.
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They're the ones who figured out where their customers hang out and how to reach them.
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If you're thinking about this very topic about how to find a marketing channel that works, check out our recent video about the big five marketing strategies.
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We'll link it up in the description.
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Number four, you still have to understand churn and AI makes it worse.
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AI native companies have the worst retention I've ever seen in SaaS apps.
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I'm seeing 60, 70, 80% annual churn.
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That's not a revolution.
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That's a leaky bucket.
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So this is one where AI isn't just neutral.
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It's actively making things harder.
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It's making them worse for SaaS founders.
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The data is brutal.
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AI-native products have median gross retention around 40% compared to 90 plus percent for traditional B2B SaaS.
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A lot of what's being counted as ARR is really experimental budget, companies trying things out and not committing.
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People aren't leaving because of payment failures, they're leaving because the product didn't stick, it didn't work, it didn't live up to the promise that was made.
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Founders still have to diagnose why customers leave and fix root causes and not mask churn.
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AI doesn't solve churn, and in most cases, it accelerates it.
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These fundamentals aren't complicated, but they can be hard.
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And they're a lot harder if you're trying to figure them out on your own.
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One of the best things I ever did for my entrepreneurial journey was to join a mastermind.
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It's a small group of founders who meet regularly to share wins, talk through challenges, and hold each other accountable.
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And finding the right people is the hard part.
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That's why we started Mastermind Matching at MicroConf.
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We've successfully matched almost 1,800 founders across 64 countries.
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And applications for our next group of masterminds are open now.
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You can go to microconfmasterminds.com to apply.
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All right, so I have one more fundamental, and this one is less to do with technology and more to do with your mindset.
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It's execution over ideas.
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AI has made ideas cheap.
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Execution is still rare.
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This might be the most fundamental lesson in this video.
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These days, everyone can spin up a landing page.
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Anyone can generate code or ship a prototype in a weekend.
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That's not a moat.
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It's a starting line.
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The founders who win aren't the ones who ship fastest.
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They're the ones who stick around long enough to figure it out.
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Persistence and resilience still win.
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Startups will take years.
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I say all the time, think in terms of years, not months.
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And one of the most popular tweets I've sent out in the past few months said, overnight success takes a decade.
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AI might compress some timelines.
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It makes building faster, but it doesn't change the game.
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It just raises the stakes.
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If you're thinking about how to actually build a SaaS in this environment, not just the theory, but the practical reality, I just sat down with Jason Cohen.
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He's built two unicorns, WP Engine and SmartBear.
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We talked about how he would approach building a new SaaS today in the age of AI.
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That conversation is right here.
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Check it out.
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If you found this video helpful, please give it a like and subscribe.
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Thanks for watching.
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I'll see you next time.

이 수업에 대해

이번 수업에서는 SaaS(소프트웨어 서비스)의 기본 원칙과 그 중요성에 대해 배웁니다. 인공지능(AI)이 SaaS에 미치는 영향에 대한 논의와 함께, 고객과의 대화와 마케팅의 필요성을 강조합니다. 이 수업을 통해 영어 쉐도잉(shadowspeak) 연습을 하면서 비즈니스 환경에서의 소통 능력을 향상시킬 수 있습니다.

주요 어휘 및 구문

  • SaaS(소프트웨어 서비스) - 소프트웨어를 서비스 형태로 제공하는 모델
  • AI(인공지능) - 머신러닝과 데이터 분석을 활용한 기술
  • 문제 해결 - 고객이 겪고 있는 문제를 해결하는 과정
  • 고객 연구 - 고객의 요구를 이해하기 위한 조사 과정
  • 마케팅 - 제품이나 서비스를 소비자에게 알리는 활동
  • 리서치 - 정보나 데이터를 수집하고 분석하는 과정
  • 피드백 - 고객이나 사용자가 제공하는 의견이나 조언
  • 전달 - 정보를 효과적으로 전달하는 과정

연습 팁

이 비디오의 속도와 톤을 고려하여 영어 쉐도잉(shadow speech) 연습을 할 때는 다음과 같은 팁을 따라주세요:

  • 천천히 시작하세요: 비디오를 처음에는 느린 속도로 시청하며, 반복해서 듣고 따라 말하세요. 이해가 잘 안 되는 부분이 있다면 그 부분을 집중적으로 연습합니다.
  • 강조된 단어와 구문: 중요한 어휘와 구문이 사용된 부분에 주목하여, 발음을 제대로 익히며 자연스럽게 말할 수 있도록 하세요. 예를 들어, “문제 해결”과 같은 키워드는 명확하게 발음하는 연습을 합니다.
  • 감정을 담아 연습하세요: 저자의 톤과 감정이 어떻게 전달되는지 잘 느끼고, 그것을 자신의 쉐도잉(shadowspeaks) 연습에 반영해 보세요. 단순히 소리를 내는 것에 그치지 않고 감정을 담아 말하는 것이 중요합니다.
  • 피드백을 받으세요: 자신의 발음을 녹음하고 들어보거나, 친구와 함께 연습하여 피드백을 받는 것이 좋습니다. 개선할 점을 찾고 지속적으로 발전할 수 있습니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.