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
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch11 Jan 2023

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.

Avsnitt(1388)

20VC: Reid Hoffman on Foundation Models: Who Wins & How Do Incumbents Respond | The Inflection AI Deal: How it Went Down | Why Trump is a Threat to Democracy | The Future of TikTok | Lessons from Sam Altman, Brian Chesky and the OpenAI Board

20VC: Reid Hoffman on Foundation Models: Who Wins & How Do Incumbents Respond | The Inflection AI Deal: How it Went Down | Why Trump is a Threat to Democracy | The Future of TikTok | Lessons from Sam Altman, Brian Chesky and the OpenAI Board

Reid Hoffman has been one of the most impactful people in technology over the last two decades. He is the Co-Founder of Linkedin (acq by Microsoft for $26BN) and Co-Founder of Inflection.ai. As an investor, Reid has backed the likes of Facebook, Airbnb, Zynga and more. Reid is also a Board Member @ Microsoft and was on the board of OpenAI. In Today's Show with Reid Hoffman We Discuss: 1. Foundation Models: Commoditisation, Business Models, Incumbents: Does Reid believe we are seeing the commoditization of foundation models? Is it too late for new foundation models to be born today? Are they VC backable? How will foundation models eventually make money? What will be the sustainable business model? Does Reid believe that foundation models will be acquired by large cloud providers? Who goes first? 2. Inflection & Microsoft: What Went Down: How did the Microsoft and Inflection deal go down? Did Satya call up one day and make it happen? With the decay rate of models, Microsoft did not do it for the models, so why did they do it? Was Inflection a sustainable business in it's own right? Does this not prove that to win at this game, you have to be an incumbent with incumbent cash? 3. OpenAI: Board, Lessons and Management: What are 1-2 of Reid's biggest lessons from being on the OpenAI board with Sam? Why did Sam ask Reid in front of the whole company if Reid would fire him if he did not perform? Scarlett Johannsen, super alignment team quitting, NDAs tied to equity, this is a lot in a short amount of time, how does Reid analyse this? 4. Trump is the Biggest Threat to Democracy: What Lies Ahead? Why does Reid believe that Trump is a threat to democracy and evil? What were Reid's biggest takeaways from a two hour lunch with Joe Biden? How does a Trump administration change the world of AI, technology and startups? 5. The Future of TikTok: Is TikTok a threat to US democracy? Should it be banned? What will be the outcome of the current judicial process? Will they sell to a US entity? How could Trump impact the future of TikTok in the US? 6. Reid Hoffman: AMA: What are Peter Thiel's biggest strengths and weaknesses? I believe Mark Zuckerberg is one of the most unappreciated public market CEOs, what are the core components that Reid believes makes Mark so special? How did Reid miss out on investing in SpaceX's first round? What did he not see that he should have seen? What do we think is crazy today but will be a no brainer and very normal in 10 years?

10 Juni 20241h 15min

20Sales: How Rippling Built Their Sales Machine: How to Hire, Train and Manage the Best SDRs, What is the Right Comp Package for Sales Teams & The Playbook to Start and Scale Your SDR Team

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Ashley Kelly is the VP of Global Sales Development at Rippling, the all-in-one platform for HR, IT, and finance. Before Rippling, Ashley played a crucial role in scaling Brex's outbound sales from $2M to over $300M in ARR, and has hired over 800 SDRs during her time in some of the best tech companies in Silicon Valley, including Lever and Zenefits. In Today's Episode with Ashley Kelly We Discuss: From NASCAR to Silicon Valley SDR How did Ashley make her way into the world of sales? Why does Ashley think the best AEs and leaders start off as SDRs? What is Ashley's advice to new SDRs starting their jobs today? Age of AI: Is SDR Outbound Dead? Does Ashley agree that outbound is dead today? Is SDR dead? How will AI change SDR? Why is Ashley hesitant to adopt AI? Why does Ashley think founders should always build the first sales playbook? What did Ashley mean by SDR is the 3rd pillar between sales and marketing? What does Ashley think most companies get wrong about outbound? SDR Hiring: Who, What, When & How When does Ashley think founders should hire their first SDR? How does Ashley structure the hiring process? What questions does she ask? What profile does Ashley look for when hiring for an SDR? How does Ashley structure the finance package? How is it different for each team? Why did Ashley avoid hiring SDRs with SDR experience? Why has she changed her mind? What was Ashley's biggest hiring mistake? What were her takeaways? Onboarding New SDR Hires How does Ashley onboard new SDR hires? What is her onboarding timeline? How does Ashley set targets for new hires? When should they be fully productive? When does Ashley know if a new hire isn't working? What are common traits among Ashley's most successful hires?

7 Juni 202453min

20VC: Perplexity's Aravind Srinivas on Will Foundation Models Commoditise, Diminishing Returns in Model Performance, OpenAI vs Anthropic: Who Wins & Why the Next Breakthrough in Model Performance will be in Reasoning

20VC: Perplexity's Aravind Srinivas on Will Foundation Models Commoditise, Diminishing Returns in Model Performance, OpenAI vs Anthropic: Who Wins & Why the Next Breakthrough in Model Performance will be in Reasoning

Aravind Srinivas is the Co-Founder & CEO of Perplexity, the conversational "answer engine" that provides precise, user-focused answers to queries. Aravind co-founded the company in 2022 after working as a research scientist at OpenAI, Google, and DeepMind. To date, Perplexity has raised over $100 million from investors including Jeff Bezos, Nat Friedman, Elad Gil, and Susan Wojciki. In Today's Episode with Aravind Srinivas We Discuss: Biggest Lessons from DeepMind & OpenAI What was the best career advice Sam Altman @ OpenAI gave Aravind? What were Aravind's biggest takeaways at DeepMind? How did DeepMind shape how Aravind built Perplexity? What did Aravind mean by "competition is for losers?" What did he learn about talent assembly at DeepMind? The Next AI Breakthrough: Reasoning Does Aravind think we are experiencing diminishing returns on compute & model performance? Does Aravind agree reasoning will be the next big breakthrough for models? What are the reasons Aravind thinks models suck at reasoning today? What is the timeline for reasoning improvement according to Aravind? What does Aravind think are the biggest misconceptions about AI today? Will Foundation Models Commoditise? Does Aravind think foundation models will commoditise? What will the end state of foundation models look like? Why does Aravind think the second tier models will get commoditised? Why does Aravind think the subscription model will not work for AI models with true reasoning? Why does Aravind think the application layer companies will benefit from foundation models commoditising? Why does Aravind think foundation models will not verticalize? When does Aravind think is the right time to go enterprise? What is his strategy to differentiate Perplexity from its competitors? AI Arms Race: Who Will Win? Who does Aravind think will be the winners of foundation models? What do AI companies need to do to win the model arms race? How does Aravind think startups can compete against incumbents' infinite cash flow? What are the reasons Aravind thinks Perplexity's browsing is better than ChatGPT? What is Aravind's biggest challenge at Perplexity today?

5 Juni 202455min

This Week in SaaS: PluralSight Goes to Zero, Salesforce and Mongo Hit Hard, The Next IPO Candidates and How Do We Solve the Problem of Liquidity in Venture Capital

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Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Our First Ever Episode of This Week in SaaS 1. PluralSight Goes to Zero: WTF happened to PluralSight? How did it go from $3.5BN to $0? Will this have a wider impact on the willingness of PE to buy tech companies? Who are the next contenders to go from hero to zero? Zendesk? Anaplan? Will this generation of PE funds be let off by their LPs for a poor vintage? 2. Salesforce's Worst Stock Market Drop Since 2004 + Mongo Takes a 23% Hit: Why did Salesforce lose $50BN of market cap in a single day? Is the same true for MongoDB taking a 23% hit in one day? What does it mean when the new normal is these once hyper-growth companies now growing only 6% per annum? 3. The Settlers into Slow Growth: Why does Jason believe that Dropbox and Box have both settled into a world of slow growth? What happens to Twilio from here in a world post Jeff Lawson? What happens to Retool from this point on? Would Jason be a buyer of Notion at $10BN? 4. Venture Capital is Broken: Why does Jason believe that we need to see a relation of public multiples for the math in venture capital to work again? Why does Jason believe that the way we mark portfolios with TVPI leads to corrupt and bad behaviour? How does Jason think we will solve the problem of liquidity with IPOs being shut, M&A being out of the window and now PE being a doubt as the source of buyers?

3 Juni 20241h 9min

20Growth: The Six Channels Startups Need to Dominate to Grow, Why the Best Growth Talent Never Comes from Marketing or Product, Who and How to Hire Growth Leaders and Teams and Why in a World of AI, Growth is More Science than Art with Matt Lerner

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Matt Lerner is one of the OGs of growth having spent 11 years leading growth teams at PayPal. Post PayPal, Matt led the growth marketing program at 500 Startups. He is also the bestselling author of Growth Levers and How to Find Them. Today, Matt is the Co-Founder and CEO of SYSTM, an accelerator program helping startups find their growth drivers. In Today's Episode with Matt Lerner We Discuss: From Philosophy Student to PayPal Growth Leader: How did Matt make his way into the world of growth? What were Matt's biggest lessons from 11 years at PayPal? What did Matt know now that he wished he'd known when he entered the world of growth? How to Master Growth in a World of AI: What is growth to Matt? What is it not? Why does Matt think growth is more science than art? Does Matt Agee with Adam Gross @ Vimeo that paid acquisition below $100M ARR isn't PLG? How does Matt think AI will change the world of growth today? What does Matt think are the most common growth mistakes founders make? Optimizing Growth Channels: Dos & Don'ts Why does Matt believe there are only six types of growth channels? What is the "locksmith moment" & how do startups find channels that work for them? How does Matt pick a Northstar metric? What are the most common mistakes founders make when picking North Star metrics? When is the right time to change them? How does Matt approach horizontal product messaging? What works? What doesn't work? How to Hire & Manage Growth Teams What does Matt look for in the first head of growth hire? What questions does Matt ask when interviewing? What were Matt's biggest hiring mistakes? What did he learn? Why does Matt think the best growth hires have no marketing experience? What are Matt's two steps to master onboarding? What are the 3 most common patterns in leaders according to Matt?

31 Maj 202455min

20VC: Former Meta CTO, Schrep on Why Climate is a $10TRN Problem, Operating Lessons Scaling Products to Billions at Meta and Why the Best Leaders are Like Music Conductors

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Mike Schroepfer (Schrep) is the Founder & Partner @ Gigascale Capital, a new kind of climate-focused investment firm. Prior to Gigascale, Mike was the CTO @ Meta where he scaled products to billions of users, shipped millions of units of consumer hardware, constructed tens of millions of sq ft of data centres, built teams of up to 35,000, and made breakthroughs in AI. Before Meta, Mike led engineering at Mozilla and founded a company acquired by Sun Microsystems. In Today's Show with Mike Schroepfer We Discuss: 1. Lessons from Mark Zuckerberg and Meta: What are Schrep's biggest lessons from Zuck on truly effective leaders? Why does Schrep believe the best leaders are like music conductors? What does Schrep mean when he says, "building a company is a game of inches"? Why does Schrep believe "inertia is one of the most underappreciated forces in company building?" 2. The Future of Energy: Why does Schrep believe that the "availability of cheap, clean energy is the biggest rate limiter to human progress?" Does Schrep agree with Sam Altman that energy will be the currency of the next decade? Or does he believe Mustafa Suleyman is right and it will soon be free and abundant? How does Schrep predict the next five years for both fusion and nuclear? Why does Schrep believe the next few years will be "messy but with huge opportunity"? 3. Investing in Climate: It has to be Profitable: Why does Schrep believe that markets and not governments or philanthropy will solve the climate challenges we face? What leads Schrep to suggest that the climate change transition is a $10TRN opportunity for investors? What is the single hardest element of investing in climate change solutions today? Why do climate change solutions need to reshape how they market to consumers? How much capital does it take to build a defensible moat in climate? 4. Schrep: The Man Behind Whatsapp and Instagram: AMA: How does Schrep reflect on his own relationship to money? How has it changed? How does Schrep think about what it takes to be a great father? How did Schrep manage the physical stress and pressure of managing engineering for products that serve billions of people in WhatsApp and Instagram?

29 Maj 20241h 10min

20VC: Why Seed is Systemically Broken | Why Pricing is Worse Than Ever and There is More Funding Than Ever | Benchmarks for Churn, Retention and Growth Rates - Good vs Great | Why Last Vintage for Private Equity Will Suck with Jason Lemkin

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Jason Lemkin is one of the OG SaaS investors with all of his first five investments turning into unicorns with Pipedrive, Algolia, Talkdesk, Salesloft and RevenueCat all in his portfolio. SaaStr is the largest global community in SaaS and he has taught a generation the fundamentals of SaaS on saastr.com. In Today's Episode with Jason Lemkin We Discuss: 1. Growth Rates and Churn Rates: Average/Good/Great: What is a growth rate that would excite Jason in a SaaS company? What is average? What levels of churn would worry Jason to see? What would excite him to see? What does Jason never tolerate when it comes to either growth rate or retention? 2. What Founder Combination Always Wins: Why does Jason believe you cannot lose money on a CEO salesperson and a technical CTO founding partnership? Why does Jason always meet the CTO for a second meeting in the diligence process? What questions does he ask? What do the best CTOs do or say? Why does Jason always want to sell his shares when the founders want to sell? Why does Jason believe that a company is never the same when the founders leave? 3. WTF is Happening in the World of VC: Why does Jason believe that pricing is worse than it has ever been in venture? Why does Jason believe that traditional seed VC is systemically broken? Why are companies getting stuffed with more cash than ever before? What does Jason know now about dilution that he wishes he had known when he started? Why does Jason believe that you should always recycle everything? 4. WTF is Happening in PE and Later Stage Markets: What happens to all the overpriced acquisitions like Zendesk and Salesloft where private equity way overpaid for them, they have no growth and no product innovation? What happens to the generation of public companies like Box, Dropbox and Twilio, all with low growth and little product innovation in the single-digit market caps? Why does Jason believe that Klaviyo is the most undervalued public company today? What does Jason believe will happen to Anaplan with Pigment eating their lunch?

27 Maj 20241h 14min

20VC: OpenAI's Sam Altman, Mistral's Arthur Mensch and more discuss: Will Foundation Models Be Commoditised | Which Startups Are Threatened vs Enabled by OpenAI | Is the Value in the Infrastructure or Application Layer?

20VC: OpenAI's Sam Altman, Mistral's Arthur Mensch and more discuss: Will Foundation Models Be Commoditised | Which Startups Are Threatened vs Enabled by OpenAI | Is the Value in the Infrastructure or Application Layer?

Sam Altman is the CEO @ OpenAI, the company on a mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI is one of the fastest-scaling companies in history with a valuation of $90BN and $2BN+ in revenue. Brad Lightcap is the COO @ OpenAI and the man responsible for the incredible scaling of sales, GTM, partnerships and business to today being over $2BN in revenue. Arthur Mensch is the Co-Founder and CEO of Mistral AI. Since its inception in May 2023, Mistral has raised over $520M in funding from investors like Andreeseen Horowitz, General Catalyst, Lightspeed Venture Partners, and Microsoft with a current valuation of $2 billion. Des Traynor is a Co-Founder of Intercom, and has built and led many teams within the company, including Product, Marketing, and Customer Support. Today Des leads all of Intercom's R&D efforts, and parts of Intercom's marketing. Tom Hulme is a Managing Partner of GV (Google Ventures), and leads the European team. Today, GV has over $10BN in AUM and Tom has led investments in Lemonade.com (IPO), Snyk, Secret Escapes, Blockchain.com, GoCardless, and Currency Cloud (exited to Visa). Tomasz Tunguz is the Founder and General Partner @ Theory Ventures, just announced last week, Theory is a $230M fund that invests $1-25m in early-stage companies that leverage technology discontinuities into go-to-market advantages. Sarah Tavel is a General Partner @ Benchmark, one of the most successful and renowned venture firms in the world. At Benchmark, Sarah has led rounds in Chainalysis, Hipcamp, Medely, Rekki, Glide, Cambly and more. In Today's Episode We Discuss: Will foundation models be commoditised? What is the end state for the foundation model landscape in 10 years? How will large cloud provider incumbents approach M&A with smaller foundation model providers? When will we see marginal revenue exceed marginal cost in the foundation model business model? Where is the value: the application layer or the infrastructure layer? How can startups know whether they will be threatened by OpenAI? What are good tests/questions to know if you are in the path of one of the large foundation models? How does the business model of SaaS fundamentally change in a world of AI? Will we see the end of per-seat pricing in a new world of AI? What is the right way to approach pricing in a world of AI? Consumption? Tokens?

24 Maj 202421min

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