How I created a 50+ page comic book with no artistic talent in a couple of weeks

At Hustle Fund, we just announced that Dunky AI, our cute, lovable, purple hippo-esque friend has taken our the company and has gone rogue today on April 1, 2025. Hopefully we can wrestle back the company tomorrow!

In the meantime, Dunky AI has chosen to write a strange comic book, set in a mythical place called Hippoland…a world that exists to teach entrepreneurial education. Talk about hallucinations!

While this is all in fun for the day, I’m going to give you a serious behind-the-scenes look at the creation of said comic book and some learnings. This project ended up being a ton of fun and didn’t take long.

If you have imagination, you can be an artist and creator — even if you have zero talent

This is a bold statement and was not possible prior to the last couple of years. I started this project in early 2024 and put very little time into this throughout the year – probably a total of 1-2 full working weeks. But, throughout that year, the technology has only gotten better. This comic book is a reflection of last year’s tech.

Midjourney generated almost all of the images. Adobe Photoshop’s AI tools aided as well. Cartoon people in this book were created based on seeding these AI tools with real photos. In some cases the cartoon representations of my team members were fairly on-target:

These drawings are based on real photos of my colleagues Haley Bryant and Kera DeMars and arguably look pretty similar to their actual likeness.

But, Midjourney didn’t get it right for others on our team, so precision in drawing has a lot to be desired still. I think a lot of generative AI software is good at drawing generic people but not specific people you may have in mind.

In addition, this cartoon of me is based on a real photo of me wearing a grey shirt that reads Hustle Fund. You can see Midjourney takes some artistic liberties in changing the shirt 🙂 :

Generative AI is good at drawing people and bad at drawing hippocorns

This may seem like a silly learning, but extrapolated, this is a big shortcoming of generative AI tools these days. If you want to draw generic people, there are MANY tools that can do this well. If you want to draw a mythical creature that doesn’t exist in the exact form that you are envisioning, this is near impossible. This makes sense, because there is limited to no data for these models to train on. Afterall, as much as my inner voices in my head may disagree, hippocorns do not exist.

But, when you think about blockbuster characters that have done well over history, they are ALL mythical. They are Mickey Mouse and Elmo. They are Pokemon and Yoshi. These characters are all figments of people’s imaginations, and it is really hard to go from your head to paper.

I struggled to get our hippocorn to be close enough to what we envisioned. You can see that it’s not quite right. Our mascot Dunky is not as wide and is not as old. It has buck teeth, which AI often misinterprets as a shirt or an underbelly of white. I did the best that I could in cartoonifying our plushie.

Consistent characters are still a problem

Midjourney (and others) launched a consistent character feature in their software during the creation of this comic book. But, this feature is not actually that accurate, especially when it comes to specific objects (especially made up creatures like hippocorns). This is probably the top problem that still needs solving in generative AI. Once this is solved, we should see independent Disney-competitor brands started by 1-person design shops (who may not even be artists)!

Much like how we now have vibe coding and 25% of YC companies in the latest cohort have codebases largely written by AI, we will see the same for design and art. Along the way in doing this project, I met a kid who is in a university but spends almost all of his time consulting for companies who want to generate images and need his help with AI prompting. I don’t think this skill or job stays forever, as it will become easier and easier to prompt images and videos without a consultant, but I do think it represents a shift in a how people will do design. It won’t be by hand anymore. Maybe it will be 80% by AI and 20% by hand (editing the parts that need help that AI can’t get right).

When Disney came out with the original Snow White and the Seven Dwarfs, it cost $1m+, which was a crazy amount of money back then! They maintained edge in this world of character creation, because they established a large capital moat and could employ the best artists and storytellers to create hit after hit. Even when they didn’t hit, it was ok, because they had more shots on goal coming soon. Even when they ran into a wall and ended up buying Pixar to invigorate the brand, stories, and technology, money was the moat. Very few studios could even afford that.

Now, there is no moat for anyone, because the cost to create blockbuster movies and cartoons is so close to dropping to near zero cost. I’m excited to see the next generation of characters and worlds that will influence the world.

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DeepSeek Disruption: AI, NVIDIA, and the Future of Venture Capital

When news of DeepSeek hit recently, friends and family came to me asking: What does this mean? Is this the end of NVIDIA? Is AI taking over? Should I be worried about my job? The stock market, predictably, went into a frenzy.

But taking a step back, the real story behind this isn’t about the “fall of NVIDIA” or some existential AI threat. The real story is that AI development just got a lot more accessible which is great for consumers and developers —and that changes everything.

DeepSeek

First – what is DeepSeek? (I thought this was a good primer from Stratechery.)

DeepSeek is an AI model that came about as a side project from a company in China. It competes with the likes of OpenAI and Anthropi, and it is open source. But two things made DeepSeek particularly interesting:

  1. It claimed to train its final model at a fraction of the cost that OpenAI and Anthropic have spent training their models. Whether that’s entirely true is debatable, and many people on the internet think they’re lying or that they’re hiding something, but whether they’re right or wrong actually doesn’t matter IMO.
  2. It was built with NVIDIA’s H800 GPU chips – not their most powerful chips.

This second point is where things get interesting. For years, NVIDIA’s A100 and H100 GPUs have been considered gold and necessary for AI training—so much so that their availability (or lack thereof) has shaped the AI industry. I have portfolio companies who had been clamoring for chips and couldn’t get any. But DeepSeek proved that they didn’t need NVIDIA’s most powerful chips (they chips they used had the same level of computer power but less bandwidth). In fact, because they are based in China, where it’s impossible to get access to A100 and H100 GPUs, they were able to train their model on less powerful computer chips, which was considered near-impossible. This is why NVIDIA’s stock price is down – no longer do AI companies need their most powerful chips if you can just take a page out of Deepseek’s playbook.

I think, for NVIDIA, though, this doesn’t mean extinction. Powerful chips will always be in demand, and people will just use them to do more. (This is not investment advice!) But DeepSeek’s success opens up a whole new market. It was previously thought that if you want to develop expensive AI models, you would not only need tech talent but also a lot of money to buy compute power. No longer is that true, and NVIDIA is no longer the gatekeeper.

The Real Winners: Developers and Entrepreneurs

For the first time, any developer can, in theory, develop new AI models. This is a game available to anyone—not just deep-pocketed tech giants. Open-source combined with less expensive infrastructure means that a new wave of developers and startups can build AI-models without requiring hundreds of millions in funding.

But the broader trend of decreasing costs has been happening for decades already. In the 90s, launching a tech company required massive capital. Startups were building their own servers in closets. But when cloud computing came along, AWS made infrastructure cheap and accessible. No longer did you need to raise $5m to own and run your own infrastructure. Now, AI is hitting a similar inflection point. Developers can develop AI models without NVIDIA’s chips, and in many cases, without raising millions in VC money. That means startups can bootstrap or seed-strap in ways they never could before.

In fact, we’ve been seeing this trend for a while now. Many of today’s AI entrepreneurs aren’t raising huge rounds of funding. Instead, they’re launching lean, capital-efficient businesses that can reach $1M-$2M in revenue without taking on significant outside investment. This is a fundamental shift. AI isn’t just for the big players anymore.

The Real Losers: Venture Capitalists

Ironically, the group that should be most worried isn’t NVIDIA, other big tech companies, AI startups, or independent developers—it’s VCs.

For decades, venture capital thrived on the high cost of starting a company. In the early internet days, founders needed millions to build and scale — those servers were not cheap.

But the cost to build a business has been coming down over the years. But VCs were still needed, because tech became a huge roaring industry, and there were not enough engineers to support the industry. The cost to hire engineers in Silicon Valley zoomed up. There was more demand for engineering talent than supply. And this is what has kept venture capitalists in business.

But then a decade of coding bootcamps, a new generation of students entering computer science in droves, and the proliferation of no-code tools have brought that cost down again. These days, many of my founders are using AI tools to write code for them. For most software companies, you don’t need specialized computer software knowledge to build a multi-million dollar business.

The initial wave of AI put a momentary blip in that trend, because so much capital was required to train AI models. But now, when it no longer takes a ton of money to build a viable AI startup, what happens to the venture capital industry?

  • Startups don’t need as much money. AI tools make it easier for small teams (sometimes just one or two people) to launch and scale products. People are using AI tools to write code and increase productivity.
  • The infrastructure costs have now decreased. We saw this with server costs in the early internet wave, and now we’re seeing this with AI training costs.
  • You don’t even need to be an engineer. Many of these tools are so user-friendly these days that you don’t even need to be an engineer by training to build and run a software company.

So what ends up happening with the confluence of these trends?

  • Markets are more crowded. With lower barriers to entry, there’s more competition. If 200 startups are building the same AI-powered tool, it’s hard for one to achieve dominance—and hard for a VC to get a 100x return. But, founders can still make money. You can still have 200 companies in a busy space, where even if you’re in the long tail, you can make millions of dollars per year and do well for yourself. Moreover, these outcomes for founders would probably be similar to building a billion dollar business with venture capital money and taking a small portion of that exit home. That’s great for entrepreneurs! Just not great for VCs.
  • Companies struggle to find moats. If anyone can spin up an AI-powered product in a weekend, it’s difficult to build a defensible business. This can actually be ok if you’re a 1-2 person shop. You’ll still have business even if retention isn’t perfect. But again, this isn’t a good situation for a VC to invest in.

Founders can still make great money—but VCs are finding it harder to generate the outsized returns they depend on.

Where Investors Can Still Win

So, if venture capital is struggling in this new landscape, where does investment still make sense in software?

  1. Super-early-stage bets: While it’s getting cheaper to launch a startup, some founders still need pre-seed capital—particularly those who haven’t yet reached revenue yet. Many founders will need some level of capital to survive and experiment with before they get to ramen profitability. (I’m obviously talking my own book here.)
  2. Big, capital-intensive ideas: While small AI startups are thriving, some ambitious projects that go beyond software still require massive funding. Think AI hardware, biotech, space, or deep-tech startups where money itself is one lever of a competitive advantage. This is a great place for large VCs to play. Very few competitors can go after these opportunities and they can be defensible because of the capital and knowledge moat.
  3. Uniquely defensible businesses that have deep ties into workflow. There are going to be software businesses that are so entrenched in workflow that even if they are copied, the sheer distribution edge is enough to win. However, many of these opportunities will likely reside with existing large software incumbents.
  4. International opportunities. US investors have long shied away from global markets, because they don’t understand them. But ironically, this is where the greenfield opportunity lies. You can find great companies that have limited competition and favorable valuations. And, now that companies require less capital for software companies, the lack of capital in these regions is a much much lower risk.

The Future: AI Everywhere

DeepSeek is just the beginning. AI is about to become pervasive.

The cost of building AI-powered products is dropping fast, and that means AI isn’t just something that happens in big tech labs—it’s something that happens everywhere.

  • Developers will integrate AI into everyday applications, making businesses and workflows dramatically more efficient.
  • AI-powered startups will proliferate globally. This has already been happening for a while.
  • There’ll be a lot of 1-2 person startups, and some of them will become massive with very limited capital raised. This is where we’ll see the billion dollar single-founder startups emerge.

Yes, NVIDIA will continue to sell chips. Yes, OpenAI and Anthropic will continue improving their models and will lose pricing power, because they will have serious competition. But, they will all be fine. Consumers will be great. AI development is no longer restricted to the elite few. We’re just at the beginning and that’s pretty exciting.

2000+ angel investors and growing!

I’m super psyched! Our global angel club called Angel Squad, led by Brian Nichols, has reached 2000+ members this past summer across 40 countries! To me, this isn’t just a vanity metric. Angel investors play a crucial role in nurturing startup ecosystems — much more than VCs, so growing and nurturing angel investor communities worldwide is really important to me.

Silicon Valley’s Secret Sauce

Silicon Valley’s long-standing success as a startup hub is often attributed to its weather, schools, and legacy of tech companies. However, I disagree. There are plenty of places in the world with permutations similar to this that don’t have anywhere near the startup density that the San Francisco Bay Area has.

I think, a less obvious, yet critical factor for Silicon Valley’s success is its vibrant Angel investor community. Unlike the common perception that Silicon Valley’s Angels are wealthy individuals writing $25,000 checks at a time, many people invest much smaller amounts here.

For instance, early Uber investors included people who invested as little as $5,000, which became worth $25 million by the time of the IPO! What this illustrates is that angel investors don’t have to invest a lot of money in one go, and finding winners can be life-changing for small angel investors.

This culture of numerous small-scale investments enables a large pool of resources and support for many startups in the Bay Area. Early-stage companies benefit not only from financial backing but also from the introductions and advice that these investors also provide. Such a supportive environment allows startups to thrive and grow.

The Ripple Effect of Angel Investments

A robust Angel investor community can significantly impact a startup’s trajectory. With small checks, startups can secure essential early funding that institutional investors often hesitate to provide. This early support is crucial for the initial phases of a startup, where risk is high, and traditional funding is scarce. In addition, small check investors can often lead to larger checks later by opening doors. One of our portfolio founders at Hustle Fund named Steven Fitzsimmons (Fitz) broke down the anatomy of his seed round a few years ago. His smallest investor (who invested $5k) was the most helpful of all. Small checks lead to both introductions and more checks.

In contrast, many other cities outside of Silicon Valley, despite having either good tech ecosystems or wealthy individuals, lack such a vibrant Angel network. Wealthy individuals in these areas often do not reinvest their money and time back into their local startup ecosystems, which stunts the growth of potential startups in the area. Places like Boston, for example, despite its tech prowess, academic strength, and successful individuals, has lacked for decades a strong Angel community of hundreds of active individuals until more recently with the emergence of active angels from newer successful companies like HubSpot and more. (And I’m sure many of my Boston friends will disagree and say they’ve been actively investing for a long time now, but they are the exception not the rule to the geography :))

Growing Angel Communities Globally

The rise of Angel investor communities in cities like New York and Boulder also illustrate the transformative power of these networks. By fostering a culture where successful individuals reinvest in new startups, these cities have developed robust startup ecosystems. Neither of these cities were previously known for being tech hubs. This model shows that there is no special formula exclusive to Silicon Valley; any city can replicate this success by building a strong, active Angel community.

Angel Squad’s Vision

Hustle Fund’s Angel Squad aims to replicate and expand this model globally. With 2,000 members already on board, the goal is to grow to 10,000 and eventually 100,000 Angel investors. We want to empower entrepreneurs everywhere — not just in the US.

Let’s go!

The journey of Angel Squad is just beginning, but I’m so proud of Brian and team for the progress they’ve made. If we can continue to help great startups globally get access to more capital — to truly have free markets — that would be the dream. Let’s go!

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Introducing Angel Squad: enabling the next 10k angel investors

Most people know that Hustle Fund is a VC firm. But, it’s really a lot bigger than that. Hustle Fund is about democratizing wealth through startup creation. 

In 2017, when we launched our VC fund, we designed an inclusive model to support founders of all types. We believe that great founders come from anywhere and can look like anyone. 

Today, we are announcing a Hustle Fund initiative called Angel Squad led by Brian Nichols (prev led On Deck Angels and the Lyft angel syndicate) to build an inclusive model to support angel investors of all types. Just like we believe great founders come from anywhere and can look like anyone, we believe the same applies to angel investors.

Traditionally, angel investing has been an opaque asset class that has required investors to have a lot of personal money and have special connections. But, with Angel Squad — neither is required.

Angel Squad is a modern day angel group: it’s angel investing education & networking and socialization & dealflow all wrapped together. We think angel investing is naturally social but also needs to have strong infrastructure to make people successful with BOTH knowledge AND  dealflow. 

Over the years, so many friends have asked me how they, too, can get into angel investing profitably? And is it possible to do so without a lot of money? 

And the answer is yes and yes. But it’s really hard to figure out on your own. It took me several years to really learn the ropes, and after looking at more than 30k companies and funding 450+ startups, here are some interesting things that have surprised me along the way.

  1. Most angels in Silicon Valley are not investing with very much money. 

Previously, when I thought about angel investing, I thought you needed to be super rich – plunking down $25k checks at a minimum into each company. The truth is there are so many Silicon Valley angels — micro-angels as I like to call them — who are investing $1k here and there. 

If you do a handful of these investments a year, angel investing actually becomes very accessible to many more people. If you can afford to invest $5k+ across a handful of startups each year, you can start to build a nice portfolio over the next few years.

In addition, a lot of people cite the net assets or salary required to become an accredited investor as a blocking point for getting into angel investing. But one recent change in the law is that those who can pass the exam for the Series 65 license are also classified as accredited investors, which opens up angel investing to all who are motivated. In fact, to make Angel Squad very accessible, we are also deducting the cost of the Series 65 test for those who are accepted into Angel Squad. 

With Angel Squad, our minimum check size per deal is just $1k to enable investors to have enough capital to continue investing in many companies as they grow their portfolios and learn. 

  1. High risk, high reward investments are how so many people in Silicon Valley make a LOT of money

When you think about financial strategy, the first rung of the ladder is just being able to survive – save enough money to cover, food, housing, and clothes. The second rung of the ladder is to start saving for a rainy day and potentially even start to invest in low-risk assets that will appreciate slowly over time. The third rung of the ladder – once you can afford to take serious risk – is to invest some money into high risk-high returning assets — such as startups. 

A couple years ago, I read that a number of people invested $5000 into Uber’s seed round. If they held their shares until the IPO, they would have made ~$25m from that 1 investment. Wow.

What a lot of people miss about startup investing is that the returns are not linear — the returns are outliers. So if you can take a lot of small at-bats that will completely miss but hit one out of the park, you will more than cover your losses and potentially much much more.

  1. To get into angel investing successfully, it helps to have a guide and lots of practice

I consider angel investing to be akin to a sport. You have to do a lot of it in order to practice. And you have to practice methodically — what did you miss in an investment that didn’t go well? What questions would you ask differently to a startup founder? What risks are ok for you to take and ok to dismiss? The best startup investors are constantly re-evaluating their approach and thesis — I certainly have evolved my own thinking over the past years. 

It’s helpful to practice alongside someone else who has been investing for years to learn from their learnings. In addition, if you can tag along with someone who has great deal flow, that will increase your chances of winning even as you are evolving your own thesis. Just being in the flow and picking a lot of companies is enough to win even if your thesis isn’t great yet. 

With the rise in microfunds and angel-operators, there are a LOT of startup investors with great deal flow who are incredibly collaborative. With Angel Squad we enable new angels to invest alongside our own fund (Hustle Fund), and soon we’ll make it easy for Squad members to invest alongside other great investors as well. 

We have run two Angel Squad cohorts so far this year and here are some quick stats:

  • 163 members to date
    • 46% female
    • 67% of members live outside of Silicon Valley
    • Most of our members are new to angel investing
    • 100% are kind — we have a NO ASSHOLE rule at Angel Squad

And Brian and team are just getting started…If we can help thousands or tens of thousands of new angels get underway, I think the impact will be huge. 

The tech industry often talks about how to increase funding for overlooked founders (geography, race, gender, age, industry, etc). One way to solve this is to have a LOT more investors. Our hope for Angel Squad is that we can bring in a plethora of new investors who have diverse voices, backgrounds, and geographies into Angel Squad to get more startups funded.

I am so excited about the product that Brian Nichols has built in just the first few months, and there is so much more he has in store. 

With Angel Squad, we are all excited to make angel investing more accessible, inclusive, and fun – we welcome all with an interest to apply. 

Learn more here and apply here.

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How we tripled our first VC fund to raise a $33.6M Fund 2

I cannot be more excited to officially announce Hustle Fund 2.

So many of the tactics we used to raise our first VC fund we applied to Fund 2. I won’t rehash what I wrote in How I raised my $11.5m VC fund. In this post, I’ll just cover our new learnings and new tactics that we used in our Fund 2 process. Onwards!

Raising a Fund 2 took longer

If I thought raising Fund 1 was daunting, I braced myself for raising Fund 2. Many emerging fund managers ahead of me warned me that Fund 2 would be one of the hardest raises because you’ve already exhausted your closest contacts for Fund 1 and still have no real results to show for Fund 2. 

In addition, like many other emerging managers, we also wanted to raise a larger fund than our first, which was $11.5m. Because VC funds are only allowed 99 accredited investors, the average check size for Fund 2 needed also to be MUCH BIGGER. 

This meant that even if people wanted to invest, we would not be able to accept as many small investors unlike in our Fund 1, which further added to the challenge. 

In the end, we turned down A LOT of $100k-$250k checks from MANY wonderful people, and I am so bummed that we had to do that. Let that sink in for a moment. We were not able to accept all 6 figure checks, because they were not large enough!?!

Here are some new tactics that we used for this fundraise.

1) We started raising right after Fund 1

Knowing that this raise would be harder or at least a longer process, we started raising our Fund 2 about 3 months after we raised our Fund 1. While we didn’t get the paperwork started right away, we started building relationships with new potential LPs right away. 

In fact, we timed our Fund 1 announcement in Sept 2018 to help us build momentum while we were actively engaging potential LPs for Fund 2. We started pulling together the legal paperwork for our Fund 2 in Q1 2019 and did our first close in Q2 2019. 

Fund 2 is essentially a continuation of the fundraise process from Fund 1. Even if there is nothing to sign, you are always raising.

2) We used scarcity as a forcing function

Although I am opposed to the SEC’s 99 investor slot limit / rule, we turned this into a forcing function. We used it to generate momentum with smaller investors. We told all of our smaller investor friends / acquaintances that we would only take a certain number of small checks, so if people were sure they wanted to invest, they had to move quickly. 

This worked really well. This encouraged smaller investors to decide within days instead of weeks or months. People often overlook small checks, but I’ve personally found over the years that my smallest check writers (angels) have tended to be really helpful beyond money (connections / advice / etc) and help generate momentum on a raise. Often it’s the smaller checks that create momentum to encourage larger investors to prioritize your fundraise. 

The combination of these smaller checks plus our anchors from Fund 1 (Thank you LINE and Shanda for your continued support!) was what drove our first close in Q2 2019. 

The flip side to all of this is that if people are considering becoming a small LP in a fund, the best time to broach this is at the beginning or even before a fundraise happens, because that’s when a fund has the most number of investor slots available. If you approach a fund manager when 70 slots are already accounted for, then you are literally competing for a slot against larger check writers. 

3) We expanded our investor search into Asia

I am so grateful to SO MANY people who helped connect us with potential investors. Raising these funds really does take a village. But, I’m particularly grateful to my friend Cjin Cheng who agreed to join our Hustle Fund team after we had raised Fund 1. 

One of the things that we had noticed in raising our Fund 1 was that we were able to bring in a lot of amazing US entrepreneur-investors as LPs into our fund. But the appetite for venture in Asia was 10x stronger, because a lot of potential investors there wanted access into the US startup scene. Cjin had been both a past successful founder and had previously done fundraising in Asia for a VC fund and was the perfect complement to our team in helping us expand our network there. 

This also made a lot of sense strategically, as we expanded our fund’s mandate to include Southeast Asian investments as well.  

We were able to raise a good chunk of our Fund 2 from amazing investors – including our anchor for Fund 2 – we would never have met without Cjin. Taking a page from the Strength of Weak Ties, adding people to your team with a different network from yours can help a lot. 

4) We continued to build brand

One of my biggest takeaways from raising Fund 1 is that LPs don’t really care about your past track record (unless you are coming from a Sequoia or someplace like that). They *do* want to know how you’ll pick well, and even more importantly, why founders will come to you first. 

Translation: they want to know how you will build up your new brand with your new fund. Anything you’ve accomplished before gets discounted, because whatever you were doing before was with a different brand. 

This was a mind-blowing revelation to me during our Fund 1 process. But it makes sense. AKA how will you market your new firm? 

For this reason, between Fund 1 and Fund 2, I continued to blog and tweet like crazy about how I think and also about who we are. LPs want to make sure they are fully aligned with a firm — everything from how a firm treats people to how they think. 

And in doing all this tweeting and blogging, we received cold emails from potential LPs and messages from people I hadn’t heard from in years asking to invest. In fact, so many of our LPs read every tweet of ours. Blogging and tweeting really does work. 

In addition, all this writing helped build rapport with a lot of people. One of our LPs mentioned that she saw me in a photo and noticed that I wasn’t wearing any makeup. She said that she knew she wanted to invest in Hustle Fund, because she felt that since I didn’t spend any time on my appearance that I’d spend more time stewarding her money well. 🙂 

Another LP I met told me in the first meeting that she was an avid reader of my blog and she, too, didn’t fold her laundry (which she learned that I do not do in one of my blog posts!). I remember thinking “Wow, here is someone I’m meeting for the first time who lives 5000 miles away from me, and we can bond over not folding our clothes. Cool!” 

What you read in my/our tweets and blog posts is real – it is a true reflection (for better or worse – I guess everyone now knows that I don’t fold my clothes) of who we are. And that helps people decide whether they want to join our journey. 

5) Your Fund 1 sets the stage for Fund 2

One of the temptations in setting up a Fund 1 is to agree to a number of things just to raise your fund. Things like sharing GP carry. I feel fortunate that we didn’t do anything non-standard in our Fund 1 (though we thought about it!), because by Fund 2, investors primarily just look at the redline changes between your Fund 1 and Fund 2 legal docs. So if you try to edit things in your docs for Fund 2, investors will ask about them and may want them back. You set a precedent in your Fund 1. 

6) We increased the number of LP-founders

It gives me absolute joy in bringing in past founders whom we’ve backed into our LP community. It’s not a strategy that scales, but to me, it’s one of the best validations that we’ve received. And we were so lucky to be able to do that as soon as Fund 2 with founders we backed in Fund 1 as well past founders we’ve backed through other vehicles is a pretty awesome feeling.

We wrapped up our fundraise when COVID-19 hit…or so we thought.

My last fundraising trips were in Jan / Feb of 2020. We were just completing our final paperwork to wrap everything up with our last potential LP conversations in mid March 2020. We all know what happened after that. Some very warm potential LPs had decided they needed to pause and see what was happening in the world and couldn’t commit to this fund. And everything in the San Francisco Bay Area had shut down. 

And, it turns out sometimes, wet signatures and notarization are still required for paperwork. And so we needed to mail paperwork to Japan in order to finalize one of our anchor LPs during this time. DHL and UPS branches had limited hours during this time period and very few of their planes were flying to Asia at the time. The stock market had been tanking. It felt the whole world had just shut down. 

I felt a mix of emotions — relief that we had closed most of the fund already even if we couldn’t get the last investors over the line. Disbelief around the state of the world. Confusion of what was yet to come. 

And then we received an email from our Japanese counsel stating that we had completed our paperwork incorrectly putting the date in a place where we shouldn’t have and that we would need to do this all over again – wet signature, notarization, and rush shipping. We spent over $400 on this process alone, and we were able to submit our paperwork just 1 day before Tokyo implemented its stay-at-home policy. It’s hard to describe the level of urgency we had in trying to push this over the line in a global transaction during the uncertainty of the pandemic. It felt like such doom and gloom — it was unclear to me whether mail was even working at that time. We take so many systems we rely on for granted, and that was a big test for us. 

We did it – we had raised a $30m fund! And we were done! (or so we thought) 

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A no isn’t a no forever – Our first institutional investor

Throughout our Fund 1 and Fund 2 fundraises, we didn’t spend a lot of time speaking with institutional investors. We had heard from emerging managers ahead of us that no institution would be interested in coming into an emerging managers’ fund, so we primarily focused on working with angel-operators and family offices. 

But, we did meet with about a dozen or so institutional investors we had heard amazing things about over the course of the last few years in hopes that maybe someday we could work with them. 

In September 2020, Jaclyn Hester, Partner at Foundry Group emailed my business partner Eric out of the blue asking to catch up. We thought we had closed our fund already, but since we still had time on our fund’s timeline to raise, it was technically still open. Foundry had told us no twice already — for Fund 1 and Fund 2. Despite that, we LOVED Jaclyn and Lindel and team — they just struck us as genuinely kind and wonderful people who are phenomenal at their fund-of-fund craft. 

On the founder side, I often say that a no isn’t forever. At Hustle Fund, there have been something like 10 startups we initially said no to but then later invested in. And this happens time and again. And the same applies to GP/LP relationships as well. In addition to Foundry Group, we were also rejected by potential LPs in our Fund 1 process who came in for Fund 2. 

We caught up with Jaclyn and what I love is that she just leveled with us. They’d already rejected us twice, and she just put that out there, stating something along the lines of we’ve already rejected you twice, and I want to be extra sure that we are definitely going to invest if we ask you for diligence materials, so let me just double check on some things. And this is the process and timeline. I really admire that. Investors – whether it’s on the LP side or the GP side — sometimes tend to dance around things, but Jaclyn was crystal clear and transparent around what was happening. Something that we believe in too and strive to do. We all ended up taking the next step together. I’m grateful to our founders who spent time speaking with Foundry, and I’m so thrilled and honored that Foundry joined our journey on Fund 2

In the end, we also brought in some additional investors in the same close — some angels committed and signed docs all within 24 hours to meet that final close (for reals). 

All-in-all, we applied the same lessons and tactics from Fund 1 to raise our Fund 2 with a few adjustments and surprises in the last year or so. We continue to be open for business looking to invest in pre-seed software startups in the US, Canada, and Southeast Asia.

Like in Fund 1, there were literally hundreds of people who helped us get this thing up and running (and we are still just at the beginning).  And I’m so very thankful to all of them — especially our LPs in both our Fund 1 and Fund 2 for their generosity and kind introductions to their friends and network and for hosting us in your respective cities.

Fundraising is hard.  And it takes a long time.  But don’t give up.  

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Thank you, Tony

Coincidentally enough, I had decided that I wanted to write a letter to my mentor Tony this weekend, thanking him for the huge impact he’s had on my life. But I suppose that has now morphed into a more public letter.

Being in a zombie, half blurry-eyed state, it’s a little tough to articulate well what Tony has meant to me. We go through life, and a lot of people have an impact on us, and it’s often hard to say that a particular person caused you to take a particular path. But, Tony is one of the few people whom I can definitely say my life would not at all be what it is without him.

I first met him many years ago in Dec 1996 when I was just starting high school. My best friend Jennifer asked me what I was doing for winter break and if I wanted to help out her cousin Tony with his new internet startup. I had no idea what an internet startup was, but I had nothing going on, so I agreed to go.

On the first day of our holiday break, Jennifer and I hopped on the Caltrain from the peninsula (Silicon Valley) to head to his office in SOMA (San Francisco). It was exciting! We couldn’t drive, but we could go to a startup office all by ourselves! I followed Jennifer to the address. I think their office was actually someone’s apartment. And when we got there, there seemingly was no one there. We hung around for a while, and maybe about 10am or so some people started to trickle in – this was my introduction to startup life.

Tony had more or less just graduated from Harvard, as he had spent a few short months at Oracle after graduation, and then decided to quit to build his own company LinkExchange. Leaving a big employer so quickly was highly unusual back then, and he would go on to do many non-conforming things that he was right about.

LinkExchange was an ad network. If you had a website and hosted LinkExchange ad banners, for every 2 impressions you generated, you received 1 free impression of your banner. Back then because the internet was still new, people paid attention to banners and clicked on them like crazy, so this was incredibly effective in helping generate traffic for people. LinkExchange would then sell the remaining ad impressions. They had launched the service earlier that year, and by that December, they were already growing like crazy.

I definitely was *not helpful*. We put together some tables and chairs. And made ethernet cables from scratch. Yes, from scratch. We had to cut cables, splice the individual wires, and insert them into plastic tips and crimp them. I was terrible at this, and Jennifer largely fixed all of my mistakes (as always). Since I was so bad at the ethernet cable making process, they asked me to help them put together an internal webpage to keep all their meetings / schedule together. Great! I could put my basic HTML skills to use. I don’t think they liked the amateurish turquoise background that I chose, so someone at LinkExchange quickly fixed it.

I was more of a nuisance than help, but what I saw that day was super inspiring. Here were a bunch of friends who were getting together to build things. They could wear whatever they wanted, saunter in whenever they wanted, and eat all the pizza they wanted. And they all had varied tasks and were taking business meetings in what looked like a kitchen? There was never a dull moment. It was the dream. Neither of my parents worked in tech and certainly not startups, so this was incredibly eye-opening, and immediately, I knew that this was what I was going to do when I grew up – become an entrepreneur and start companies. Without this exposure to startups in 1996, I don’t think I would have made this realization (if at all) for many years.

Fast forward a few years later. Microsoft bought LinkExchange just 2 years later for a reported $265m. Tony and his college friend Alfred (who also was at LinkExchange) decided to start a startup incubator with their own money. (As a side note, the food at their restaurant in this incubator was fantastic!) This was bold and unique, because Idealab was really the only one doing something somewhat similar at the time. The concept of accelerators or incubators would not come in a big way until years later.

I don’t think Tony knew this, but while in high school, I cold-emailed almost every single one of his portfolio companies to ask them for an internship. I was determined to work at a startup as soon as possible in high school and start my startup career. I ended up working at one of his portfolio companies (probably unbeknownst to him) in the summer of 2000 which really help set me on my path to a career in startups. Often that first opportunity is the hardest to land, and each subsequent opportunity opens more and more doors.

By late 2000, the stock market had crashed and everyone was fleeing startups. Newspapers ran headlines saying that tech was dead and that all programming jobs would be outsourced. They couldn’t have been more wrong, but most people panicked and stopped investing in startups. Tony, was always a first-principles thinker, and he leaned into this and ended up co-leading one of his portfolio companies Zappos. As an e-commerce company that provided free shipping and free returns, Zappos’ margins were razor thin. This scared most VCs. (This would certainly scare me.) But, he believed that it could work if customers had a great experience and would become repeat customers. So, he poured a lot of his own capital into the business when no VC at the time would touch this company. While many VCs pontificate about high level things, he looked at problems from a bottom’s up approach which made his thinking often unique from others.

In order to make the Zappos model work, he needed customer service to be top notch, reliable, and have a lower cost. It was clear to him that this model wouldn’t work in pricey San Francisco. So, he made another bold decision to move the company to Henderson, NV, which could provide all of those things. This was at a time when certainly most people believed you can only build an internet business in the San Francisco Bay Area. In hindsight, when they ended up needing to hire tons of people, being the BEST internet company in the Las Vegas area allowed them to swoop up talent that would have been a huge war to win in San Francisco. The other thing that was apparent to me, is that the Zappos family was incredibly diverse — and free to be themselves. Tony’s attention to culture and cultivating an open and welcoming work family left a lasting impact on me, and he started doing this well before it became a trend. Like so many of you, his book Delivering Happiness has affected my own thinking.

Fast forward many years, Jennifer and I were working on our own startup, and we were grappling with a particular challenge. We decided to consult Tony and get his advice. In a very Tony-like way, he basically told us to do what we thought was best. I remember feeling frustrated at the time, because…I didn’t know what was best! I had wanted him to tell me what he thought was best! But a good mentor helps you find your own answer – he/she doesn’t tell you the answer.

In that meeting, he also pulled out a book and told me to read it. The book was Start with Why by Simon Sinek. So I read it. The gist of the book is that to build a great company, you need to go back to first principles. Most people start building a company by trying to sell their product details. “Buy my shoes! They are grey with stripes.” But customers, employees, and everyone want to rally around something much bigger — something inspirational that the company stands for. It actually took me many years to process this and actually figure out how to implement this — I didn’t get this right for LaunchBit, but after marinating on this advice for years, this is what we’ve been striving to do at Hustle Fund. We aren’t just capital deployers. We are trying to create a movement and a philosophy. That particular meeting with Tony is one that I play in my head over and over – I feel like I finally understand what he was getting at and that is what I most wanted to tell him this weekend.

If cynics believe that it’s impossible to get ahead in life without being an asshole, Tony Hsieh is a good example of someone who defies the norm. He was never flashy and always kind and generous to all. I could go on and on in writing this, but thank you, Tony, for helping me in so many ways that you may not have been aware. For your kindness, generosity, and inspiration.

Sending big hugs to the entire Hsieh family whom I consider to be my second family and who took me in during my formative years and had a huge impact on who I am today.

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