Name: 我放棄了博士學位，創建了一個月薪 10 萬美元的人工智能應用程序 (I dropped my PhD to build a $100K/month AI app)
Uploaded: 2025-08-27T20:58:56.000Z
Duration: 12 min 31 s

I walked away from my career to build my own thing.

我離開了我的職業生涯，開始建立自己的事業。

程度副詞

This is Nico, and he did something that, let's be honest, is really hard.

這就是尼科，老實說，他做了一件非常困難的事。

他放棄了自己的整個職業生涯。

He was on the traditional path until two letters made him rethink everything.  AI AI AI Building an AI is the best decision I ever made.

他一直走在傳統的道路上，直到兩封信讓他重新思考了一切。  AI AI AI 建立人工智能是我做過的最正確的決定。

AI is all the rage right now, but this episode is about a normal guy who saw an opportunity and decided to make the leap.

人工智能現在風頭正勁，但這一集講述的是一個普通人看到機會並決定實現飛躍的故事。

And you'll learn why he left his entire career behind to build an AI, and why you should too, how to build niche viral apps, and the opportunities to build an AI right now.

您還將瞭解到他為什麼拋下整個職業生涯來創建人工智能，為什麼您也應該這樣做，如何創建利基病毒式應用，以及現在創建人工智能的機會。

I'm Pat Walls, and this is Starter Story.

我是帕特-沃爾斯，這裡是《起動故事》。

Tell me about who you are, what you built, and what's your story.

告訴我你是誰，你建造了什麼，你有什麼故事。

I'm the founder of NeuroFrames, which is a platform to create AI music videos.

我是 NeuroFrames 的創始人，這是一個製作人工智能音樂視頻的平臺。

I've been a physicist in my previous life, and was also always an active musician.

我的前半生是一名物理學家，同時也是一名活躍的音樂家。

And in the end of 2022, I started building NeuroFrames.

2022 年底，我開始構建神經框架。

It was kind of my first full-stack software project ever.

這算是我的第一個全棧軟件項目。

And the first year I built it as a solopreneur, and now we are a team of five, and last month we made $100,000.

第一年，我是一個人創業，現在我們是一個五人團隊，上個月我們賺了 10 萬美元。

All right, well, tell me a little bit more about NeuroFrames.

So NeuroFrames is a tool to create AI music videos.

是以，NeuroFrames 是一款製作人工智能音樂視頻的工具。

這是一款人工智能音樂視頻生成器。

If you're a musician, you need lots of visual content for every song that you put out.

如果你是一位音樂家，你需要為每首歌提供大量的視覺內容。

You need visual content to go along with it.

And traditionally, visual content is actually kind of hard to produce.

而傳統上，視覺內容其實很難製作。

So we try to make this easier and use several AI tools for it.

是以，我們嘗試讓這一切變得更容易，併為此使用了多種人工智能工具。

Most of our users are hobby or indie musicians, some professional musicians too.

我們的大多數用戶都是業餘或獨立音樂人，也有一些專業音樂人。

And then there's a lot of people actually that create music now with AI music tools and come to NeuroFrames to make music videos for these songs.

實際上，現在有很多人使用人工智能音樂工具創作音樂，並來到 NeuroFrames 為這些歌曲製作音樂視頻。

What I think is super cool about your story is that you went through a full career change, you were doing something else, and then you stumbled into AI.

我覺得你的故事超酷的地方在於，你經歷了職業生涯的全面轉變，你在做別的事情，然後你偶然進入了人工智能領域。

Can you tell me a little bit more about your background before you got started with NeuroFrames?

在加入 NeuroFrames 之前，您能介紹一下您的背景嗎？

I was kind of fed up with physics already, but as I was looking for jobs to do, I found that those were not really interesting to me.

我對物理學已經有點厭倦了，但在找工作的過程中，我發現那些工作對我來說並不感興趣。

And so I didn't really know what to do with my life and did a PhD regardless.

是以，我真的不知道自己的人生該怎麼走，於是就義無反顧地攻讀了博士學位。

And in 2018, I ran the first scientific simulations and discovered that I really like programming.

而在 2018 年，我進行了第一次科學模擬，發現自己真的很喜歡編程。

When I was done with my PhD in 2020, I joined a deep tech startup working kind of at the intersection of computer vision and physics.

2020 年博士畢業後，我加入了一家深度技術初創公司，從事計算機視覺和物理學交叉領域的工作。

I learned a lot about AI and programming.

我學到了很多關於人工智能和編程的知識。

And then eventually in 2022, I started building NeuroFrames.

最終在 2022 年，我開始構建 NeuroFrames。

好吧，讓我們來深入瞭解一下。

You were deep in this PhD academia world for years.

How did you decide that you wanted to drop everything and just completely change careers?

你是如何決定要放棄一切，徹底改變職業生涯的？

Yeah, deep down, I must say, I was never ultra passionate about physics.

是的，在內心深處，我必須說，我對物理從來就沒有超乎尋常的熱情。

I was good at it, and so I kept on doing it.

我很擅長這個，所以我一直在做。

But I always had the feeling that there would be more for me somehow.

但我總覺得，我還會有更多的機會。

And I wanted to build something that affects people in the real world, maybe that improves somebody's life.

我想做一些能影響現實世界中人們的東西，也許能改善某些人的生活。

I think deep down in me, there is a wish to be seen in the world.

我認為，在我內心深處，有一種希望被世界看見的願望。

And actually, the startup environment is perfect for it because every decision I make has direct impact on the startup, which is really great.

實際上，初創企業的環境非常適合我，因為我做的每一個決定都會對初創企業產生直接影響，這真的很棒。

All right, before we finish Nico's story, I want to talk to the solo founders watching this.

好了，在我們講完尼科的故事之前，我想和正在收看這個節目的單人創始人談談。

單打獨鬥並不意味著小打小鬧。

And if you hit 1 million ARR, you probably have enterprise customers.

如果你的年收入達到 100 萬，你就可能擁有企業客戶。

But those customers don't just ask, what does your product do?

但這些客戶並不只是問：你們的產品有什麼用？

Words like SOC 2, HIPAA, and ISO 27001 can be hard to understand.

SOC 2、HIPAA 和 ISO 27001 等字眼可能很難理解。

And if you're not up to date with your compliance, the deal is probably dead before it even starts.

如果你不遵守最新的合規規定，交易很可能還沒開始就已經失敗了。

That's why we partnered with Vanta on this video.

這就是我們與 Vanta 合作製作本視頻的原因。

Vanta is the platform that automates the hard stuff around security and compliance so you can focus on your product.

Vanta 是一個能自動處理安全和合規方面棘手問題的平臺，是以您可以專注於您的產品。

Vanta hooks into your stack, runs continuous checks, and keeps the evidence all clean for the auditors so you can stay in build mode while Vanta handles the paperwork.

Vanta 可連接到您的堆棧，進行連續檢查，併為審核人員保留所有乾淨的證據，這樣您就可以在 Vanta 處理文書工作的同時保持構建模式。

Thousands of fast-growing companies like Ramp, Atlassian, LangChain, and Cursor are to use Vanta to prove security in real time.

Ramp、Atlassian、LangChain 和 Cursor 等數千家快速發展的公司將使用 Vanta 實時證明安全性。

So if you're just getting started, Vanta put together this free compliance for startups bundle.

是以，如果您剛剛起步，Vanta 為初創企業提供了這個免費的合規工具包。

It has checklists, case studies, and step-by-step breakdowns to help you get compliant before you lose the deal.

它有核對錶、案例研究和分步細分，幫助您在失去交易之前就遵守規定。

Just click the first link in the description to download it for free.

只需點擊說明中的第一個鏈接，即可免費下載。

Huge thanks to Vanta for supporting the channel.

What would be your advice for someone who might be watching this who is considering changing their career, building with AI?

對於那些正在考慮改變職業生涯、利用人工智能進行建設的人，您有什麼建議？

I think the most common thing holding people back is two things.

我認為，阻礙人們前進的最常見原因有兩個。

One is they are scared that things won't work out.

And the second might be that they are scared they can't do it maybe due to technical challenges.

第二種可能是他們害怕自己做不到，也許是因為技術上的挑戰。

I think for the former, there's really no reason to be scared, to be honest, because there's nothing to lose.

我認為，對於前者來說，老實說，真的沒有理由害怕，因為沒有什麼可失去的。

You will learn so much by switching careers, by building something your own, that you will easily make up for it later on, even if it doesn't work out, right?

通過轉行，通過建立自己的事業，你會學到很多東西，即使以後沒有成功，也會很容易彌補，不是嗎？

And people should also not be scared of the technical challenges.

It's never been easier to build something.

With these AI tools, you feel like a superhuman.

有了這些人工智能工具，你會覺得自己是個超人。

You can just build anything you want in a crazy speed.

你可以以瘋狂的速度建造任何你想要的東西。

The worst case that can happen is that, yeah, I tried to do something new.

最壞的情況是，是的，我試著做一些新的事情。

And you can always go back to get your old job.

你還可以隨時回去做你的老本行。

How did you find the idea for neural frames?

您是如何想到製作神經框架的？

How specifically did you find this amazing idea?

您是如何發現這個驚人的想法的？

I believe very strongly in the f*** around, find out principle.

我非常相信 "四處***，找出真相 "的原則。

So meaning just do many random things all across the board.

所以，我的意思是說，我只是做了很多亂七八糟的事情。

Imagine this as regions in the whole universe of ideas that you populate.

想象一下，這就是你所充斥的整個思想宇宙中的各個區域。

Then something magical happens actually when multiple of these things that you've done in the past combine.

當你把過去所做的這些事情結合在一起時，神奇的事情就會發生。

For instance, in my case, I was doing computer vision and then music a lot.

例如，就我而言，我一直在做計算機視覺方面的工作，後來又做了很多音樂方面的工作。

And it turns out that these two can meet in the field of AI animation for music videos, right?

原來，這兩者可以在音樂視頻的人工智能動畫領域相遇，不是嗎？

Maybe one practical tip also is what I do now, what I find useful to spot ideas is I use SEO tools, such as Ahrefs, for instance.

也許還有一個實用的小竅門，那就是我現在做的事情，我發現它對發現創意很有用，那就是我使用搜索引擎優化工具，比如 Ahrefs。

If you have an idea, try to find the keyword that people might be looking for this idea.

如果您有一個想法，請嘗試找到人們可能會尋找的關鍵詞。

If it has a certain volume, let's say more than thousand monthly searches or something and the low difficulty, it means you're onto something because people are searching for something and there's not already thousand solutions for it.

如果它有一定的搜索量，比方說月搜索量超過千次或其他，而搜索難度較低，這就意味著你找到了一些東西，因為人們正在搜索一些東西，而且還沒有成千上萬的解決方案。

What kind of opportunities do you see in AI right now?

您認為人工智能目前有哪些機遇？

What are some good business ideas to be building in AI?

在人工智能領域有哪些好的商業創意？

It's hard to restrain myself from building side projects.

I find customizable media at the moment very interesting.

我覺得目前的定製媒體非常有趣。

I would love to have an AI podcast generator.

我很想有一個人工智能播客生成器。

In general, I think voice mode and audio interface is very interesting.

總的來說，我認為語音模式和音頻接口非常有趣。

I would love to have an executive coach who I can talk to on my way to the office and just it has access to my calendar and knows what's up, maybe has access to Slack and I can just bounce off ideas and do weekly planning with that.

我很希望能有一個高管教練，我可以在去辦公室的路上和他哈拉，他可以查看我的日程表，知道我在做什麼，也許還可以訪問 Slack，我可以和他交流想法，制定每週計劃。

Yeah, I think there's many things that you can rethink nowadays with AI.  So one thing I noticed about Neural Frames is that it's an AI video generative tool just for musicians.

是的，我認為如今人工智能可以重新思考很多事情。  是以，我注意到 Neural Frames 的一點是，它是一款專為音樂家設計的人工智能視頻生成工具。

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我放棄了博士學位，創建了一個月薪 10 萬美元的人工智能應用程序 (I dropped my PhD to build a $100K/month AI app)

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