20VC: The Memo: How to Raise a Venture Capital Fund (Part I) | The Core Lessons from Raising $400M Over The Last Four Years| The Biggest Mistakes VCs Make When Fundraising | How To Find and Build Relationships with New LPs

20VC: The Memo: How to Raise a Venture Capital Fund (Part I) | The Core Lessons from Raising $400M Over The Last Four Years| The Biggest Mistakes VCs Make When Fundraising | How To Find and Build Relationships with New LPs

How To Raise a Venture Capital Fund

Over the last 4 years, I have raised around $400M across different vehicles from many different types of investors. Today I am going to break down the early stages of how to raise a venture capital fund and then stay tuned for a follow-up to this where we will break down a fundraising deck for a fund, what to do, what not to do etc. But to the first element.

Your Fund Size is Your Strategy:

The most important decision you will make is the size of fund you raise. So much of your strategy and approach will change according to your fund size target (LP type, messaging, documentation, structure etc). Remember, your fund size is your strategy. If you are raising a $10M Fund, you are likely writing collaborative checks alongside a follower, if you are raising a $75M fund, you will likely be leading early-stage seed rounds. These are very different strategies and ways of investing.

MISTAKE: The single biggest mistake I see fund managers make is they go out to fundraise with too high a target fundraise. One of the most important elements in raising for a fund is creating the feeling of momentum in your raise. The more of the fund you have raised and the speed with which you have raised those funds dictate that momentum. So the smaller the fund, the easier it is to create that heat and momentum in your raise.

LESSON: Figure out your minimum viable fund size (MVFS). Do this by examining your portfolio construction. In other words, how many investments you want to make in the fund (the level of diversification) and then alongside that, the average check size you would like to invest in each company. Many people forget to discount the fees when doing this math and so the traditional fund will charge 2% fees per year and so across the life of the fund (usually 10 years), that is 20% of the fund allocated to fees.

Example:

We are raising a $10M Fund.

20% is allocated to fees for the manager and so we are left with $8M of investable capital.

A good level of diversification for an early-stage fund is 30 companies and so with this fund size, I would recommend 32 investments with an average of $250K per company. That is the $8M in invested capital. Big tip, I often see managers raising a seed fund and are only planning to make 15 investments, this is simply not enough. You have to have enough diversification in the portfolio if you are at the seed stage. No one is that good a picker. Likewise, I sometimes see 100 or even 200 investments per fund, this is the spray-and-pray approach, and although works for some, your upside is inherently capped when you run the maths on fund sizes with this many investments.

A big element to point out in this example is we have left no allocation for reserves. For those that do not know, reserves are the dollars you set aside to re-invest in existing portfolio companies. Different funds reserve different amounts, on the low end there is 0% reserves and on the high end some even have 70% of the fund reserved for follow-on rounds.

In this example, given the size of the fund being $10M with a seed focus, I would recommend we have a no-reserves policy. Any breakout companies you can take to LPs and create SPVs to concentrate further capital into the company. This is also better for you as the manager as you then have deal by deal carry on the SPVs that are not tied to the performance of the entire fund.

So now we know we know $10M is our MVFS as we want to make at least 30 investments and we want to invest at least $250K per company. Great, next step.

Set a target that is on the lower end, you can always have a hard cap that is significantly higher but you do not want the target to be too far away that LPs question whether you will be able to raise the fund at all. This is one of the biggest reasons why many do not invest in a first time fund, they are unsure whether the fund will be raised at all.

The Team:

Alongside the size of the fund, the team composition is everything, simply put, LPs like managers who have invested in the stage you are wanting to invest in moving forward. They like to see track record.

IMPORTANT: I see so many angels write checks into breakout Series B companies and then go out and try and raise a seed fund with this as their track record. Do not do this, this does not prove you are a good seed investor but merely shows you have access at the Series B. These are very different things.

With regards to track record, in the past, TVPI or paper mark-ups were enough, now there is a much greater focus on DPI (returned capital to investors). LPs want to see that you have invested before at that stage and they also want to see that the team has worked together before. You want to remove the barriers to no. If you have not worked with the partners you are raising with before, LPs will have this as a red flag, and as team risk, it is that simple.

Navigating the World of LPs (Limited Partners)

The size of the fund you are raising will massively dictate the type of LPs that will invest in your fund.

MISTAKE: You have to change your messaging and product marketing with each type of LP you are selling to. A large endowment fund will want a very different product to a Fund of Funds.

Example: If you are a large endowment, you will invest in early funds but you want the manager to show you a pathway to them, in the future, being able to take not a $10M check but a $50M check from the endowment. Whereas the Fund of Funds will likely want you to stay small with each fund. So when discussing fund plans, it is crucial to keep these different desires in mind.

If you are raising a $10M fund, you will be too small for institutional LPs and will raise from individuals and family offices. An LP will never want to be more than 20% of the LP dollars in a fund and so the size at which an institutional LP (really the smallest fund of funds) would be interested is when you raise $25M+ and they can invest $5M. Generalisation but a good rule of thumb to have.

LP Composition of Your Fund:

Speaking of one LP being 20% of the fund dollars, it is helpful to consider the LP composition you would like to have for your fund. The most important element; you want to have a diversified LP base. A diversified LP base is important in two different forms:

  1. No LP should be more than 20% of the fund at a maximum. That said you do not want to have so many investors in your fund it is unmanageable. LPs need time and attention and so it is important to keep that in mind when considering how many you raise from. Some LPs will want preferred terms or economics for coming into the first close or being one of the first investors, if you can, do not do this. It sets a precedent for what you will and will not accept and then for all subsequent investors, they will want the same terms and rights.
  2. You want to have a diversification of LP type (endowments, fund of funds, founders, GPs at funds etc). Why? In different market cycles, different LPs will be impacted and so if you only raise from one LP type, if a market turns against that LP class, then your next fund is in danger.

Example:

We will see the death of many mico-funds ($10M and below). Why? The majority raised their funds from GPs at larger funds and from public company founders. With the changing market environment, most GPs are no longer writing LP checks and most public market founders have had their net worths cut in half by the value of their company in the public market and so likewise, are no longer writing LP checks. In this case, the next funds for these funds will be in trouble as their core LP base is no longer as active as they used to be. We are seeing this today.

Prediction:

  • 50% of the micro-funds raised in the last 2 years will not raise subsequent funds.

Going back to the question of diversification, my preference and what we have at 20VC, the majority of dollars are concentrated from a small number of investors. Of a $140M fund, we have $100M invested from 5 large institutions. These are a combination of endowments, Family Offices, a High Net Worth Individual and a Fund of Funds. The remaining $40M originates from smaller institutions or individuals, for us we have over 50 making up that final $40M. For me, I really wanted to have a community around 20VC Fund and so we have over 40 unicorn founders invested personally in the fund as LPs.

Bonus Points: The best managers select their LPs to play a certain role or help with a potential weakness the manager has. For example, I was nervous I did not have good coverage of the Australian or LATAM startup market and so I was thrilled to add founders from Atlassian, Linktree, Mercado Libre, Rappi and Nubank as LPs to help in regions where I do not have such an active presence. If you can, structure your LP base to fill gaps you have in your ability.

Status Check In:

Now we know our minimum viable fund size, we know the team composition we are going out to raise with, we know the LP type that we are looking to raise money from and we know how we want our desired fund cap table to look.

Now we are ready to move to the LPs themselves.

Fill Your Restaurant with Friendlies:

As I said, the appearance of your raise having heat and momentum is important.

Mistake: The biggest mistake I see early fund managers make is they go out to large institutional investors that they do not have an existing relationship and spend 3-4 months trying to raise from them. They lose heat, they lose morale and the raise goes nowhere.

Whatever fund size you are raising, do not do this. Fill your restaurant with friendlies first. What does this mean? Go to anyone you know who would be interested in investing in your fund and lock them in to invest. Create the feeling that progress is being made and you have momentum.

BONUS POINTS: The best managers bring their LPs with them for the fundraise journey. With each large or notable investor that invests in your fund, send an email to the LPs that have already committed to let them know about this new notable investor. This will make them feel like you have momentum, they are in a winner and many will then suggest more LP names, wanting to bring in their friends.

MISTAKE: Do not set a minimum check size, some of the most helpful LPs in all of my funds have been the smallest checks. Setting a minimum check size will inhibit many of the friendlies from investing and prevent that early momentum.

The bigger the name the incoming investor has the better. You can use it for social validity when you go out to raise from people you know less well or not at all. Different names carry different weight, one mistake I see many make is they get a big name invested in their fund but it is common knowledge to everyone that this LP has done 200 or 300 fund investments, in which case, it does not carry much weight that they invested in your fund. Be mindful of this as it can show naivety if you place too much weight on a name that has invested in so many funds.

Discovery is Everything:

The world of LPs is very different to the world of venture. 99% of LPs do not tweet, write blogs or go on podcasts. Discovery is everything. When I say discovery I literally mean finding the name of the individual and the name of the organization that is right for you to meet.

This can take the form of several different ways but the most prominent for me are:

  1. The Most Powerful: Create an LP acquisition flywheel. What do I mean by this? When an LP commits to invest in your fund. Say to them, "thank you so much for your faith and support in me, now we are on the same team, what 3 other LPs do you think would be perfect for the fund?" Given they have already invested, they already believe in you and so 90% of them will come back with 3 names and make the intro. Do this with each LP that commits and you will create an LP acquisition flywheel.

Bonus Point: The top 1% of managers raising will already know which LPs are in the network of the LP that has just committed and will ask for those 3 specific intros. They will then send personalized emails to the LP that has just committed. The LP is then able to forward that email to the potential LP you want to meet. You want to minimize the friction on behalf of the introducer and so writing the forwardable email is a great way to do this.

  1. The Most Likely to Commit: LPs are like VCs. When one of their portfolio managers makes an intro and recommendation to a potential fund investment, they will place a lot more weight on it than they would have otherwise. So get your VC friends to introduce you to their LPs, it is that simple. Remember, you have to remove the friction from the introducer. So, make sure to send the email they can forward to the LP. Make this personalized and concise.

Mistake: Many VCs do not like to introduce other managers to their LPs as they view it as competition. This is moronic. If the manager asking for the intro is really good, they will raise their fund with or without your intro. If they are not good, then you can politely say it would not be a fit for your LP and move on. Do not be too protective of your LPs from other managers.

  1. The Cold Outbound: I am not going to lie cold outbound for LPs is really hard. Here is what I would suggest:

  • Pitchbook: It is expensive and many cannot afford it but if you can, it is worth it for LP discovery. They have thousands of LPs of different types on the platform all with their emails and contact details. Those are less useful as a cold email to an LP is unlikely to convert but just finding their names and the names of their organization is what is important. You can then take that to Linkedin to then find the mutual connections you have with that person and ask for a warm intro.
  • Linkedin: Many LPs have the funds that they have invested in on their Linkedin profiles with the title "Limited Partner". If they are invested in a fund that is aligned with the strategy that you are raising for, there is a strong chance they might be a fit. For example, I invest in micro-funds and have invested in Chapter One, Scribble, Rahul from Superhuman and Todd's Fund, and Cocoa Ventures, so you see this and see I like sub $25M funds with a specific angle.
  • Clearbit: Often you will know the name of the institution but not the name or position of the person within the institution that you are looking to raise from. Download a Google Chrome Plugin called Clearbit. With Clearbit you can simply insert the URL for the organization you would like to speak with and then all the people within it will appear and you can select from title and their email will be provided. Again, if you do not want to cold email, you now have their name which you can take to your community, to ask for the intro.

MISTAKE: LPs invest in lines, not dots. Especially for institutional LPs, it is rare that an institution will meet you and invest in you without an existing relationship and without having followed your work before. A mistake many make is they go to large institutions and expect them to write a check for this fund, it will likely be at best for the fund after this one or most likely the third fund. This does not mean you should not go to them with your first fund but you should not prioritize them and you should not expect them to commit. I would instead go in with the mindset of we are not going to get an investment here, so I want to leave the room understanding what they need to see me do with this first fund, to invest in the next fund. The more detailed you can get them to be the more you can hold them to account for when you come back to them for Fund II.

Example: If they say, we want to see you are able to price and lead seed rounds and we are not sure you can right now. Great. Now when you come back to them in 12 months' time, you can prioritize the fact that you have led 80% of the rounds you invested in, and their core concern there has been de-risked.

In terms of how I think about LP relationship building, I always meet 2 new LPs every week. I ensure with every quarter, I have a check-in with them and ensure they have our quarterly update. This allows them to follow your progress, learn how you like to invest, and communicate with your LPs. It also really serves to build trust. Doing this not in a fundraising process also removes the power imbalance that is inherent within a fundraise and allows a much more natural relationship to be created.

Jaksot(1386)

20VC: Inside Carnegie Mellon's $4BN Endowment | Why 90% of LPs Shouldn't Invest in VC | The $140BN Problem with Multi-Stage Funds | The Hidden Math Behind DPI, TVPI, and Illiquidity with Miles Dieffenbach

20VC: Inside Carnegie Mellon's $4BN Endowment | Why 90% of LPs Shouldn't Invest in VC | The $140BN Problem with Multi-Stage Funds | The Hidden Math Behind DPI, TVPI, and Illiquidity with Miles Dieffenbach

Miles Dieffenbach is Managing Director of Investments at Carnegie Mellon University, where he helps oversee a $4 billion endowment with a focus on venture capital, private equity, and alternative investments. Under his leadership, CMU's private book has remained self-funding during some of the toughest years for liquidity. Agenda for Today: 00:04 – "I Had Cancer at 26 – It Changed Everything" 07:00 – Inside the $4BN Carnegie Mellon Endowment: The Investment Blueprint 10:45 – Are LPs Getting Screwed in Venture? 13:30 – 90% of LPs Shouldn't Be in Venture – Here's Why 16:00 – Seed Funds Are a Trap (And No One Wants to Admit It) 20:00 – The $140BN Problem with Multi-Stage Funds 24:00 – "Index Is the Best in the Game – Here's Why They Win" 29:30 – "The Dirty Secret of LPs: Brand Over Performance" 34:30 – "When Founder-Friendly Goes Too Far" 38:00 – "The OpenAI Bubble – Will It All Go to Zero?" 44:00 – "Ping Pong Diligence & Wildest Fundraising Stories"

4 Elo 1h 27min

20VC: Benchmark Loses Another Partner | Elad Gil Raises a Monster $1.5BN Solo GP Fund | Why Apple Need a Management Overhaul | Why Google is the Best Performing Hyperscaler | Will Cursor Hit $4BN ARR & Lovable $400M ARR by EOY 2026?

20VC: Benchmark Loses Another Partner | Elad Gil Raises a Monster $1.5BN Solo GP Fund | Why Apple Need a Management Overhaul | Why Google is the Best Performing Hyperscaler | Will Cursor Hit $4BN ARR & Lovable $400M ARR by EOY 2026?

Agenda: 00:00 - Why Benchmark Is Bleeding Partners (and Why That's the New Normal) 04:57 - "I Wouldn't Leave Benchmark… Unless I Had THIS" — Jason on Brand vs Autonomy 09:01 - The Rise of the Solo GP & The Death of LP Conventional Wisdom 13:50 - The Unstoppable Force of Elad Gil & The Myth of LP Discipline 18:45 - Is Vibe Coding the New SaaS? Jason's $10K/Month Spend Reveal 26:57 - Cursor's Growth Is Insane—But Is It Sustainable? 31:44 - Will Microsoft, Google, or Amazon Win the AI Infra War? 37:42 - Is GitHub Copilot the Biggest Miss in Microsoft's History? 44:15 - Are Big Tech Incumbents Now Too Powerful to Fail? 48:00 - Apple's AI Problem: Is It Time for a Management Overhaul? 52:30 - Figma's IPO: $30B Return, Zero Hype. What Happened? 1:06:00 - Final Bets: Cursor to $4B ARR, Lovable to $400M ARR, OpenAI to $800BN?

31 Heinä 1h 21min

20VC: a16z's Martin Casado on Anthropic vs OpenAI: Where Value Accrues | Cursor vs Replit vs Lovable: Who Wins and Who Loses | The One Sin in AI Investing | Why Open Source is a National Security Risk with China

20VC: a16z's Martin Casado on Anthropic vs OpenAI: Where Value Accrues | Cursor vs Replit vs Lovable: Who Wins and Who Loses | The One Sin in AI Investing | Why Open Source is a National Security Risk with China

Martin Casado is a General Partner @ a16z where he leads the firms $1.25BN infrastructure fund. At a16z, Martin has led investments in companies like Cursor, dbt Labs, and Fivetran to name a few. Before joining a16z, he co-founded Nicira, acquired by VMware for $1.26B. At VMware, he served as CTO of Networking. Widely regarded as a visionary in enterprise infrastructure, Martin has helped shape the modern cloud computing stack. Agenda: 00:00 – Analysis of Current AI Investment Landscape 04:45 – Will Anthropic Kill the AI App Layer? 09:20 – "The Oligopoly Is Coming—Just Like Cloud" 12:50 – Are AI Models Actually Terrible Venture Investments? 15:40 – Why it is BS to Put Down AI Apps for Having Temporary Revenue 21:30 – "Open Source Is a National Security Weapon—And We're Losing" 26:40 – "Have the Foundation Models of the Future All Been Founded Already" 34:30 – Why it is BS to Denigrate AI Apps for Having Low Margins 38:40 – Does AI Make 1x Engineers 10x or 10x Becomes 100x 44:10 – "We're All Dead Wrong About AI and Job Loss" 50:30 – "The Only Sin in Venture: Backing the Wrong Winner" 55:10 – What People Think They Know About Wealth But Do Not

28 Heinä 1h 10min

20Product: Should We Kill the PM Role Entirely | How Does Product Design Change Most in a World of AI | How Do Monzo Build Product Today: What Works, What Does Not | Why Most Product Sucks and What Makes Truly Great Product

20Product: Should We Kill the PM Role Entirely | How Does Product Design Change Most in a World of AI | How Do Monzo Build Product Today: What Works, What Does Not | Why Most Product Sucks and What Makes Truly Great Product

Fernando Fanton is one of the most respected product leaders in Europe, having held Chief Product Officer roles at Monzo and Just Eat. He previously led product and tech at Rappi, one of Latin America's most valuable startups. Today, Fernando is the CPO @ Property Finder; one of the biggest breakout unicorns from MENA. Agenda: 00:00 – Is "having a vision" actually killing great product teams? 03:15 – Why do most products suck—and what separates the great ones? 07:20 – Should we kill the PM role entirely? Fernando says maybe. 11:45 – Is Monzo's obsession with trust more powerful than speed? 16:10 – What's the #1 reason internal tools will never replace SaaS? 21:00 – Will AI wipe out the need for designers and PMs? 26:30 – Is it arrogant for product teams to protect users from "bad" choices? 32:15 – What's the future of product when OpenAI controls the whole stack? 37:40 – What Monzo product blew up—and why no one saw it coming? 42:55 – Can a bank built on principles really become a $100B company?

27 Heinä 1h 7min

20VC: Lovable Raises at $2BN & Hits $100M ARR | Is Cursor Worth $28BN at $1BN in ARR | How Do All Providers Deal with Anthropic Dependency Risk | Are Seed Funds F******: Have Mega Funds Won | Figma IPO Breakdown: Where Does it Price?

20VC: Lovable Raises at $2BN & Hits $100M ARR | Is Cursor Worth $28BN at $1BN in ARR | How Do All Providers Deal with Anthropic Dependency Risk | Are Seed Funds F******: Have Mega Funds Won | Figma IPO Breakdown: Where Does it Price?

Agenda: 00:00 – Did Jason Just Kill Replit? 03:45 – Why Claude Lies To You and Cannot Be Trusted 06:50 – You Cannot Trust Agents. Period. 10:20 – Why Windsurf Was Dead Without Claude 12:30 – Cursor vs. Lovable: What's the Better Bet? 14:40 – Should You Still Invest in Cursor at $28B? 18:05 – Would You Bet on Anthropic at $100B or OpenAI at $300B? 24:15 – Inside OpenAI's Secret Weapon: The Calvin French-Owen Memo 27:50 – Perplexity Just Crushed ChatGPT and Claude 32:15 – Will Cursor Build Their Own Models Before Anthropic Cuts Them Off? 33:20 – Figma's IPO at $16B: Outrageous or Fair Game? 41:55 – 90% of Seed Funds Are Cooked—Is Rob Go Right? 52:15 – How Often Do You Meet a Founder Who Can Return the Fund? 1:08:00 – Which Seed Fund Would You Back Today?

24 Heinä 1h 21min

20VC: Scaling to $1BN+ in Revenue with No Funding: Surge AI | The Most Insane Scaling Story in Tech |

20VC: Scaling to $1BN+ in Revenue with No Funding: Surge AI | The Most Insane Scaling Story in Tech |

Edwin Chen is the Founder and CEO of Surge. Founded in 2020, Surge has scaled to $1BN+ in revenue with zero external funding. At the same time, their competitor, Scale.ai raised over $1.3BN to reach $850M ARR. Today, Surge have the world's largest model providers as customers and have just 120 employees. Agenda: 00:00 — "Everyone Else Is Just a Body Shop" — Edwin Calls Out the Whole Industry 01:05 — Why 90% of Big Tech Is Wasting Time on Useless Problems 03:45 — "I Don't Do 1-on-1s" — How Surge Kills Meetings and Still Moves 10x Faster 05:55 — Will a Single Person Build a $1B Company? 08:10 — 100x Engineers Are Real — Here's How to Spot Them 12:10 — Why Most PhDs Are Useless in AI Training 14:20 — Built to a Billion With Zero VC — Edwin Explains How and Why 17:00 — "No Sales Team, No PR, No BS" — Why Surge Stays in the Shadows 21:15 — The Real Reason AGI Might Take Until 2040 24:45 — Will Synthetic Data Kill Human Labelling? 29:00 — "Academic Benchmarks Are a Scam" 31:05 — Why the Real Bottleneck in AI Isn't Compute or Models — It's THIS 33:00 — What Every AI Company Should Be Asking (But Isn't) 35:15 — "No, I Wouldn't Sell Surge for $100B" 39:00 — Is the Application Layer Doomed? Edwin Predicts the Future of AI Startups 46:30 — Have the Leading Foundation Models Already Been Founded? 48:10 — AGI Could Be Dangerous — And Most People Are Ignoring Why 20VC: Scaling to $1BN+ in Revenue with No Funding: Surge AI | The Most Insane Scaling Story in Tech |

21 Heinä 1h 6min

20VC: Cognition CEO Scott Wu on Acquiring Windsurf: The Process, The Deal, The Rationale | Did Google Overlook a Goldmine in the Core Asset and Did Founders Leave a Sinking Ship | How Cursor and Cognition Deal with Ever Increasing Reliance on Anthropic

20VC: Cognition CEO Scott Wu on Acquiring Windsurf: The Process, The Deal, The Rationale | Did Google Overlook a Goldmine in the Core Asset and Did Founders Leave a Sinking Ship | How Cursor and Cognition Deal with Ever Increasing Reliance on Anthropic

Scott Wu is the co-founder and CEO of Cognition, the company behind Devin, the world's first AI software engineer. On Friday last week they pulled off the acquisition of the year, acquiring Windsurf, following their licensing agreement with Google. Previously a world-class competitive programmer, he was a gold medalist at the International Olympiad in Informatics and a member of the U.S. Math and Physics Olympiad teams. Before Cognition, he was a founding engineer at Scale AI, helping shape the early AI infrastructure stack. AGENDA: 00:00 – Why are founders walking away instead of going down with the ship? 01:05 – How did Cognition pull off the $220M Windsurf deal in just 72 hours? 04:45 – What really happened behind closed doors the weekend Windsurf was acquired? 07:15 – Did Google overlook a goldmine in the Windsurf team and IP? 09:00 – Who are the 100 people that secretly shape the future of AI? 12:30 – Can application startups ever gain leverage over foundation model giants like Anthropic? 14:15 – Is coding about to be replaced by simply describing what you want? 17:30 – 50% of new code is AI-written. Where does that go next? 20:45 – "We've gone from 0 to $80M ARR in 6 months. Quietly." 25:00 – Are IDEs and agents just the training wheels for the real future of software engineering? 28:20 – If you could only back one—OpenAI or Anthropic—who's the better bet? 30:00 – Why has Cognition kept its insane growth a secret… until now?

18 Heinä 48min

20VC: Windsurf x Google x Cognition: Full Breakdown: Who Made Money, Who Did Not | Lovable vs Replit: Will These Be $100BN Businesses | Why Elon Could Beat Sam Altman with the New Grok | Why Every S&P 500 Company Will Buy Bitcoin?

20VC: Windsurf x Google x Cognition: Full Breakdown: Who Made Money, Who Did Not | Lovable vs Replit: Will These Be $100BN Businesses | Why Elon Could Beat Sam Altman with the New Grok | Why Every S&P 500 Company Will Buy Bitcoin?

Agenda: 00:00 Windsurf was dead—then this deal changed everything 05:00 The Windsurf x Google x Cognition saga explained 09:00 The OpenAI deal collapsed—what really happened 15:00 FTC rules forced a brutal deal structure—who lost? 17:00 The investors' returns: who actually made money? 21:30 Will Google's corp dev team get fired over this? 23:00 Cognition's genius $220M acquisition of Windsurf: Most brilliant Deal of the Year 26:00 The biggest recruiting flex in Silicon Valley this year 35:00 "Roll your own SaaS" is complete nonsense 38:00 Lovable vs Cursor vs Replit: who wins the coding war? 41:00 Why Lovable could be the ChatGPT of builders 44:00 Will these vibe-coded apps become durable businesses? 48:00 The shocking churn rates hidden inside AI SaaS 55:00 Are these $2B valuations actually... cheap? 56:30 Grok just destroyed GPT-4 in benchmarks—WTF?! 01:01:00 Why Grok might overtake OpenAI in the next 12 months 01:11:00 Meta just invested $3.5B in Ray-Bans—WTF? 01:12:30 Should every S&P 500 company buy Bitcoin now? 01:15:00 Will Meta kill open source? What happens to Llama 5?

17 Heinä 1h 21min

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