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Sometimes, you need to break the rules to innovate — but which ones? Entrepreneurship professor John Mullins shares six counter-conventional mindsets for entrepreneurs looking to think strategically, navigate challenges and change the world.

If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: https://ted.com/membership

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The TED Talks channel features talks, performances and original series from the world's leading thinkers and doers. Subscribe to our channel for videos on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Visit https://TED.com to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more.

Watch more: https://go.ted.com/johnmullins

https://youtu.be/eHJnEHyyN1Y

TED's videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy: https://www.ted.com/about/our-....organization/our-pol For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com

#TED #TEDTalks #business

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Bill Gross has founded a lot of start-ups, and incubated many others — and he got curious about why some succeeded and others failed. So he gathered data from hundreds of companies, his own and other people's, and ranked each company on five key factors. He found one factor that stands out from the others — and surprised even him.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more.
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---

#technology #startup

ignore this part this is what all the big time youtubers do for seo baybeeeeee

This video is about startups,casually explained,sam onella,sam onella academy,startups explained,startup funding,seed capital,how to start a business,programmer humor,joma tech,techlead,arpi park,listen i gotta put these tags in here youtube is a grind ok,venture capital,raising capital,startup company,crypto,stanford,silicon valley,silicon valley hbo,silicon valley jerk ratio,silicon valley jian yang,startup equity,seed funding,startup funding explained,bitcoin,metaverse

Lecture Transcript: http://tech.genius.com/Sam-alt....man-lecture-1-how-to

Sam Altman, President of Y Combinator, and Dustin Moskovitz, Cofounder of Facebook, Asana, and Good Ventures, kick off the How to Start a Startup Course. Sam covers the first 2 of the 4 Key Areas: Ideas, Products, Teams and Execution; and Dustin discusses Why to Start a Startup.

See the slides and readings at startupclass.samaltman.com/courses/lec01/

Discuss this lecture: https://startupclass.co/course....s/how-to-start-a-sta

This video is under Creative Commons license: http://creativecommons.org/licenses/by-nc-nd/2.5/

Andrew Ng on June 17, 2025 at AI Startup School in San Francisco.

Andrew Ng has helped shape some of the most influential movements in modern AI—from online education to deep learning to AI entrepreneurship.

In this talk, he shares what he’s learning now: why execution speed matters more than ever, how agentic workflows are changing what startups can build, and why concreteness beats vagueness when turning ideas into products. He reflects on the rise of AI coding assistants, the shifting bottlenecks in product development, and why, despite faster software, it’s still human judgment and responsibility that will shape what comes next.

Apply to Y Combinator: https://ycombinator.com/apply
Work at a startup: https://workatastartup.com

Chapters:
00:00 - Introduction
00:31 - The Importance of Speed in Startups
01:13 - Opportunities in the AI Stack
02:06 - The Rise of Agent AI
04:52 - Concrete Ideas for Faster Execution
08:56 - Rapid Prototyping and Engineering
17:06 - The Role of Product Management
21:23 - The Value of Understanding AI
22:33 - Technical Decisions in AI Development
23:26 - Leveraging Gen AI Tools for Startups
24:05 - Building with AI Building Blocks
25:26 - The Importance of Speed in Startups
26:41 - Addressing AI Hype and Misconceptions
37:35 - AI in Education: Current Trends and Future Directions
39:33 - Balancing AI Innovation with Ethical Considerations
41:27 - Protecting Open Source and the Future of AI

Mark is a cofounder of Facebook.

Facebook is one of the most influential companies in the history of the world. Over 1.1 billion people use it every day.

Access podcast and transcript versions of this interview here:
http://www.ycombinator.com/future/mark/

Chapters (Powered by https://bit.ly/chapterme-yc)
00:00:00 Intro
00:00:12 The early days of Facebook?
00:02:17 Did you think Facebook was going to be a company when you started?
00:03:16 Something that made Facebook different from other projects that you built?
00:04:26 Advice that you give to other people that want to build products?
00:05:37 Hardest parts in the history of Facebook?
00:09:25 Have you thought about selling the company?
00:09:37 How to decide what to build?
00:11:54 What about bigger bets like making a large acquisition or rollout news feed?
00:14:35 Do you recommend companies put in place a growth group?
00:15:52 Impact of growth group on the growth rate of Facebook?
00:16:32 How have you hired your team and what do you look for?
00:17:24 If you don't have the experience how do you assess someone's raw talent?
00:19:05 What are you most excited about over the next 20 years?
00:22:26 I'm 19 today, what should I do to impact the world?
00:23:06 How far into Facebook did it become a company?
00:24:20 What's the best piece of advice Peter gave you?
00:25:24 Outro

It’s easy to analyze your way out of taking the first step. It’s something we see a lot, particularly when founders try to choose what to build based on what they think VCs and investors will like.

In this episode of Dalton & Michael, we’ll talk about the risks of “thinking like an investor”, how to know when you’re stuck in this mindset, and how to unlearn it. We’ll also cover a short list of things that we’ve found actually matter when starting a company — it’s simpler than a lot of people think.

Apply to Y Combinator: https://yc.link/DandM-apply
Work at a Startup: https://yc.link/DandM-jobs

Chapters (Powered by https://bit.ly/chapterme-yc) -
00:00 - Coming Up
00:24 - How VCs Think
03:05 - What Matters
04:56 - What's Changed
06:41 - First Principles
08:41 - Fear
10:06 - Positive Feedback
11:18 - First Customers
12:56 - Scaling
14:19 - Macro Vs. Micro
15:54 - Unlearning
17:22 - Time With Users
20:36 - Superpowers
21:42 - No Exit Strategy

YC Group Partner Aaron Epstein talks about different startup business models, how to monetize, and how to price your product. Pricing and monetization is one of the most common questions from founders, and this talk outlines 9 business models as well as highlighting business model lessons from the top YC companies.

Business Model Guide: https://www.ycombinator.com/li....brary/Gh-business-mo

Apply to Y Combinator: https://yc.link/SUS-apply
Work at a startup: https://yc.link/SUS-jobs

Chapters (Powered by https://bit.ly/chapterme-yc) -
00:00 - Introduction
00:13 - Outline
00:42 - 9 business models that build billion-dollar companies
02:28 - Business model lessons from the top 100 YC companies
09:42 - Overall lessons
16:06 - 5 pricing insights from top YC companies
29:15 - Story of Segment - How to charge for your product
32:00 - Wrap-up - Key pricing insights


#startup #tech #entrepreneur

Burn rate, MVP, TAM — if you’re interested in tech and startups, you probably hear terms like these regularly. But what do they really mean? In this episode of Startup School, Managing Partner Dalton Caldwell breaks down some of the most common terminology that you’ll come across in the startup world.

Apply to Y Combinator: https://ycombinator.com/apply

Chapters (Powered by https://bit.ly/chapterme-yc) -
00:00 - Intro
00:30 - MVP
01:05 - VCs and Angels
03:20 - Profit and Burn
05:31 - Seed and Series A, B, C...
07:39 - PMF and Bootstrap
10:26 - Convertible Note and Equity
12:35 - TAM and Valuation
15:16 - IPO and ARR
17:40 - Outro

Apply to AI Startup School in SF: https://events.ycombinator.com/ai-sus

There’s never been a better time to launch an AI startup, but many prospective founders find themselves stuck when it comes to thinking of a good idea. In this episode, the Lightcone hosts look at different ways breakthroughs can be discovered.

Apply to Y Combinator, applications for X25 are due Feb 11: https://ycombinator.com/apply

Learn more about the startups mentioned in this episode:

Salient: https://www.trysalient.com
Diode: https://diode.computer
Spur: https://www.spurtest.com
Datacurve: https://datacurve.ai
David AI: https://www.withdavid.ai
Can of Soup: https://canofsoup.com
Happenstance: https://happenstance.ai
Ezdubs: https://www.ezdubs.ai
Egress Health: https://tryegress.com
HappyRobot: https://happyrobot.ai
Abel Police: https://abelpolice.com
Sweetspot: https://www.sweetspot.so
Lilac Labs: https://www.drive-thru.ai
Automat: https://www.runautomat.com
ParadeDB: https://paradedb.com
Reducto: https://reducto.ai
Juicebox: https://juicebox.ai
Giga ML: https://gigaml.com
Zepto: https://www.zeptonow.com

Chapters (Powered by https://bit.ly/chapterme-yc) -
00:00 - Intro
03:20 - First version
04:38 - Examples
10:55 - Pivoting
12:35 - Internships
22:20 - Going undercover
37:35 - Fundraising
41:45 - Product Market Fit

This video is about Michael Seibel, Managing director of Y Combinator, the most innovative startup accelerator in the world, lessons learned from the Twitch startup journey and Y Combinator.

0:00 Intro
0:13 Twitch Story
5:48 Lessons learned from Twitch
8:45 Lessons learned from becoming a VC investor
11:19 Essential advice from YC

EO stands for Entrepreneurship & Opportunities.
We're looking for more inspiring stories of entrepreneurs all over the world, so don't hesitate to contact us! :)

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As AI models continue to rapidly improve and compete with one another, a new business model is coming into view - vertical AI agents. In this episode of the Lightcone, the hosts consider what effect vertical AI agents will have on incumbent SaaS companies, what use cases make the most sense, and how there could be 300 billion dollar companies in this category alone.
Chapters (Powered by https://bit.ly/chapterme-yc) -
0:00 Coming Up
1:01 Jared is fired up about vertical AI agents
7:25 The parallels between early SaaS and LLM’s
9:09 Why didn’t the big companies go into B2B SaaS?
12:25 How employee counts might change
16:25 The argument for more vertical AI unicorns
21:31 Current examples of companies/uses
35:22 AI voice calling companies
40:04 What is the right vertical for you as a founder?
41:36 Outro

If you're a startup founder, how much should you charge for your product or service? It's a simple question that can make many lock up. What number should you pick? In this episode of Startup School, YC Group Partner Tom Blomfield guides you on how to come up with a price and then justify that number to customers.

Apply to Y Combinator: https://yc.link/SUS-apply
Work at a startup: https://yc.link/SUS-jobs

Chapters (Powered by https://bit.ly/chapterme-yc) -
00:00 - Intro
01:19 - The Value Equation
04:28 - Cost
06:26 - Competition
10:08 - Pricing
13:42 - Free trials
16:42 - Recap
17:30 - Outro

Join my community at http://JohnCoogan.com (enter your email)

Here’s my personal experience getting into Y Combinator and what I think you should do if you want to get in. BIG DISCLAIMER: I am not an expert, I don’t work for YC and haven’t been in one of the new, remote-only batches. YC is constantly evolving and improving their process for finding great companies, so I encourage you to get multiple opinions here and try and find advice directly from YC partners themselves. That being said, here’s what’s worked for me, and what I think is generally true about the YC application and interview process.

ABOUT Y COMBINATOR:
Y Combinator (YC) is an American seed investment startup accelerator launched in March 2005. It has been used to launch over 2,000 companies, including Stripe, Airbnb, Cruise Automation, DoorDash, Coinbase, Instacart, Dropbox, Twitch, and Reddit. The combined valuation of the top YC companies was over $300 billion as of January 2021. The company's accelerator program is held in Mountain View, California.

Y Combinator was founded in 2005 by Paul Graham, Jessica Livingston, Trevor Blackwell, and Robert Tappan Morris.

From 2005 to 2008, one program was held in Cambridge, Massachusetts, and one was held in Mountain View, California. As Y Combinator grew to 40 investments per year, running two programs became too much. In January 2009, Y Combinator announced that the Cambridge program would be closed and all future programs would take place in Silicon Valley.

In 2009, Sequoia Capital led the $2 million investment round into an entity of Y Combinator to enable them to invest in approximately 60 companies a year. The following year, Sequoia led an $8.25 million funding round for Y Combinator to further increase the number of startups the company could fund.

Then, in 2011, Yuri Milner and SV Angel offered every Y Combinator company a $150,000 convertible note investment. The amount put into each company was changed to $80,000 when Start Fund was renewed.

In September 2013, Paul Graham announced Y Combinator would fund nonprofit organizations that were accepted into the program after having tested the concept with Watsi (while continuing to fund mostly for-profit startups).

In 2014, founder Paul Graham announced he was stepping down and that Sam Altman would take over as president of Y Combinator. That same year, Altman announced "The New Deal" for YC startups, which offers $150,000 for 7% equity.

Late in 2014, Sam Altman announced a partnership with Transcriptic to provide increased support for Y Combinator's growing community of biotech companies. Then in 2015, he announced a partnership with Bolt and increased support for hardware companies.

The YC Fellowship Program was announced in July 2015, with the goal of funding companies at the idea or prototype stage. The first batch of YC Fellowship included 32 companies that received an equity-free grant instead of an investment.

In January 2016, Y Combinator announced version 2 of the Fellowship program, with participating companies receiving $20k investment for a 1.5% equity stake. The equity stake is structured as a convertible security that only converts into shares if a company has an initial public offering (IPO), or a funding event or acquisition that values the company at $100m or more. The YC Fellowship was short-lived. In September 2016, then CEO Sam Altman announced that the fellowship will be discontinued.


ABOUT JOHN COOGAN:

I am the co-founder of http://soylent.com and http://lucy.co, both of which were funded by Y Combinator (Summer 2012 and Winter 2018).

I've been an entrepreneur for nearly a decade across multiple companies. I've done a lot of work in silicon valley, so that's mostly what I talk about. I've raised over 10 rounds of venture capital totaling over $100m in total funding.

I work mostly in tech-enabled consumer packaged goods, meaning I use software to make the best products possible and then deliver them to the widest possible audience. I'm a big fan of machine learning, python programming, and motion graphics.

OTHER VIDEOS:

How Oculus VR & Anduril Founder Palmer Luckey Revolutionizes Dead Industries - https://youtu.be/zVLcoJS4fCg
The Saga of Naval Ravikant (Founder of AngelList) -
https://youtu.be/BtLFa9pEaDo
The Saga of Chamath Palihapitiya (SPAC Investor) - https://youtu.be/KFslVD3t_Oo

CONTACT:

You can get in touch with me via Twitter: https://twitter.com/johncoogan

Disclaimer: This video is purely my opinion and should not be regarded as a primary source. I am not a financial advisor and this is not a recommendation to buy or sell securities. Always do your own due diligence.

A fireside with Elon Musk on June 16, 2025 at AI Startup School in San Francisco.

Before rockets and robots, Elon Musk was drilling holes through his office floor to borrow internet. In this candid talk, he walks through the early days of Zip2, the Falcon 1 launches that nearly ended SpaceX, and the “miracle” of Tesla surviving 2008.

He shares the thinking that guided him—building from first principles, doing useful things, and the belief that we’re in the middle of an intelligence big bang.

Apply to Y Combinator: https://ycombinator.com/apply
Work at a startup: https://workatastartup.com

Chapters:
00:00 - Intro
01:25 - His origin story
02:00 - Dream to help build the internet
04:40 - Zip2 and lessons learned
08:00 - PayPal
14:30 - Origin of SpaceX
18:30 - Building rockets from first principles
23:50 - Lessons in leadership
27:10 - Building up xAI
39:00 - Super intelligence and synthetic data
39:30 - Multi-planetary future
43:00 - Neuralink, AI safety and the singularity
48:10 - Message for the Next Generation of Builders

In order to get your startup off the ground it's critical to keep your co-founders motivated. One of the best ways to do that is to figure out a fair co-founder equity split. In this episode of Startup School, YC Group Partner Michael Seibel explains the ins and outs of co-founder equity, why it's important to be generous with that equity, and how to avoid bad advice that can lead to co-founder breakups.

Apply to Y Combinator: https://yc.link/SUS-apply
Work at a startup: https://yc.link/SUS-jobs

Chapters (Powered by https://bit.ly/chapterme-yc) -
00:00 - Intro
02:03 - Co-founder equity split
06:39 - Co-founders break-up
09:42 - Bad reasons for very unequal equity splits
14:06 - Common bad advice
17:14 - Final thoughts

Tom Brown co-founded Anthropic after helping build GPT-3 at OpenAI. A self-taught engineer, he went from getting a B-minus in linear algebra to becoming one of the key people behind AI's scaling breakthroughs. And his work is paying off.

Today, Anthropic's Claude is the go-to choice for developers, and his team is overseeing what he calls "humanity's largest infrastructure buildout ever." On this episode of The Lightcone, he discusses his unconventional path from YC founder to AI researcher, the discovery of scaling laws that changed everything, and his advice for young engineers entering AI today.

Apply to Y Combinator: https://www.ycombinator.com/apply
Work at a startup: https://www.ycombinator.com/jobs

Chapters:
0:00 - From Failure to Success
2:30 - Early Startup Days at Linked Language
4:12 - The Grouper Dating Experiment
6:10 - Making the Leap to OpenAI
8:42 - First Product Launch Challenges
10:12 - Self-Teaching AI Research
12:44 - Building GPT-3 Infrastructure
15:44 - The Anthropic Spinoff
18:23 - Early Days of Building Claude
20:21 - The ChatGPT Wake-Up Call
22:08 - Claude 3.5 Sonnet Breakthrough
24:13 - Why Benchmarks Don't Tell the Whole Story
26:20 - Claude Code's Secret Sauce
28:51 - Building for the AI Agent
31:11 - The Largest Infrastructure Buildout Ever
32:46 - Multi-Chip Strategy
34:38 - Advice for the Next Generation

There's never been a better time to start an AI company. Not just because there are new ideas, but because the tech finally makes old ones actually work.

On the Lightcone, Garry, Harj, Diana and Jared talk through the kinds of startups that are suddenly viable thanks to LLMs—from full-stack law firms to personalized tutors to recruiting platforms that can finally scale. They share the patterns they're seeing, the ideas they're excited about, and what it means to live at the edge of the future, where breakthroughs often look like second chances.

If you've been waiting for the right moment to build, this is it.

Apply to Y Combinator: https://ycombinator.com/apply
Work at a startup: https://workatastartup.com

Chapters (Powered by https://chapterme.co/) -
0:00 Intro
00:41 What startup ideas could not work before AI?
06:06 Technical screening products
07:35 Truly personalized education tools
09:48 Do better products automatically get better distribution?
14:41 Moats
16:08 The need for platform neutrality
17:40 Big Tech and AI
23:24 AI horseless carriages
25:14 Gross margins
30:03 Full stack companies
32:30 ML ops
37:14 Updated startup advice for the AI age
40:19 Outro