Are You Fishing in a Pond? Or Excavating a Pond?

fishing

The other day, I had a super insightful conversation with one of my awesome teammates here at Alchemist Accelerator about access and exposure. The difference between accelerators and emerging early-stage managers.

I’ll preface that for investors, particularly emerging managers, the three things you need to win are sourcing, picking, winning. And to be a GP, you need at least two of the above three. But for the purpose of this blogpost, I’m only focusing on sourcing.

I’ll also preface with the fact that I may be biased. I started in venture at SkyDeck, an accelerator. Additionally, I advise at a bunch of studios, incubators and accelerators. Moreover, I worked at On Deck when we launched our accelerator. And now, I’m here at Alchemist Accelerator.

I truly love early-stage programs. The earlier the better.

Instacart’s recent IPO is a clear example of venture returns compared to the public market equivalent as a function of stage. The earlier you invest, the more alpha you generate to your most liquid comparable.

Source: Axios

It’s the difference between a market maker and a market taker. A price maker and a price taker.

Though admittedly, one day, this too may become saturated, just like how venture capital went from 50-60 funds in ’07 and ’08 to now over 4000 in 2023. Do fact check me on exact numbers, but I believe I’m directionally accurate.

Let me give a more concrete example. Harvard is a phenomenal institution. And there’s a Wikipedia page full of breakout Harvard alums. But as an LP, if 50% of your managers, despite having different theses, all have half their portfolio as Harvard alums, then you as the LP are overexposed to the same underlying asset. The same is true for Stanford. Or seed or Series A funds investing in YC founders. All great institutions, but you’re not getting your buck’s worth of diversification.

The only caveat here is if you’re not looking for diversification. After all, the best performing fund would be the fund that invested a 100% of their fund in Google at the seed round. AND holding it till today. Realistically, they will have had to distribute on IPO.

The question is are you a fisher? Or are you a digger? One requires a fishing rod; the other a shovel. The latter requires more work, but you’re more likely to be the first to gold. Like Eniac was for mobile. Or Lux to deep tech.

So how do you know you’re fishing in someone else’s pond?

Easy. Your deal flow includes someone’s else’s brand. Whether that’s Sequoia or YC or SBIR. It’s not your own. You don’t own that pipeline. A lot of people have access to it. It’s no longer about proprietary deal flow, but about proprietary access to deals to borrow a framing from the amazing Beezer.

If your deal flow pipeline looks something like the graph below, you probably don’t have a sourcing advantage.

Source: Nodus Labs

Now that’s not to say there aren’t a lot of nonobvious companies coming out of YC or these startup accelerators. Airbnb, Sendbird, Twitch (the last of which Ravi who I work with here at Alchemist happened to be one of the first institutional investor for, so have heard some of these stories), and more were all non-obvious coming out of YC. And have also seen the same for companies coming out of Techstars, 500, and Alchemist, where I call home now. But that’s a picking advantage, not a sourcing one.

The flip side is, how do you know you’re excavating your own pond?

I’ll preface by saying having your own Slack or Discord “community” is not enough. Or having your own podcast.

I put community in quotes simply because having XXX members in a large group chat isn’t indicative that their presence is really there. Is their seat warm or cold?

I love using a stadium analogy. Imagine you sold a couple thousand season tickets to a team. You can name whatever sport it is. Football (yes, the rough American kind). Soccer. Basketball. Baseball. You name it. But despite all the tickets you sell, a solid percentage of your seats each game is empty. Can you really say that your team has fans? All you did was sell a couple of cold seats.

You can make the same analogy with likes or comments on Instagram. Which seems to be a problem these days, when an influencer with a couple thousand likes per post starts hosting their fan meetups, only to realize they rented out an empty hall. In case, you’re wondering for the IG example, it’s due to bots.

All that said, I like to think about excavation in the lens of competition for attention. Everyone only has 24 hours in a day. 7 days in a week. 365 days in a year. And as someone who is expecting any level of engagement from others, you are fighting for attention with every other product, person, and habit out there.

Perks of being a consumer investor, I think about this a lot. But in the same way, having an unfair sourcing advantage is the same.

Is the greatest source of your deals tuning into you at least four of the seven calendar days in a week? Or if you have a professional audience (i.e. only product people, or only execs), are they engaging at least 3 workdays per week or 8 workdays per month? Are they spending more time reading/listening/engaging with you than with their best friend?

If you have a community, do you have solid product-market fit? Is your daily active to monthly active over 50%? You don’t need a massive audience, but for the people who are primary sources of your deal flow, are you top of mind? As Andrew Chen says, at that point, “it’s part of a daily habit.”

Is it easy for them to share your content, what you’re doing, who you are with others? Does sharing you or your content generate dopamine and social capital for them? Do you embody something aspirational? Is your viral coefficient greater than 0.5? Even better if it’s 1, then you’re ready to go viral.

And do people stick around? Do the seats stay warm? Is your community self-propagating? Is your content evergreen? Or do you produce content at a voracious pace that it doesn’t have to be? Do you live rent free in people’s brain?

And once you do invest, are you the weapon in the arsenal of choice? For instance, 65% of Signalfire’s portfolio use their platform weekly to learn and get advice. But more on the winning side in a future essay.

In closing

To truly have a sourcing advantage, you need to be building your own platform that is impressionable and regularly take mind space from the founder audience. But if you don’t, that’s okay. You just need to be really good at picking and winning.

Photo by Popescu Andrei Alexandru on Unsplash


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The views expressed on this blogpost are for informational purposes only. None of the views expressed herein constitute legal, investment, business, or tax advice. Any allusions or references to funds or companies are for illustrative purposes only, and should not be relied upon as investment recommendations. Consult a professional investment advisor prior to making any investment decisions.

Spilling the Tea on Deep Tech

teapot

It’s not every day one gets to sit down and experience a Chinese tea ceremony under a late afternoon Los Altos sun. Sitting across from me was a gentleman in a white tee who moonlighted as a tea connoisseur. As such, he was in the middle of passionately describing to me what was some of the best tea I’ve had to date.

“David, smell this blend three times. You’ll realize that each breath you take will smell completely different from the last.”

To my bewilderment, he was right.

As I handed the teapot back to him, he continued, “Now the first pour you always pour out. Here, we are just washing the tea leaves. But we use this opportunity to also coat the insides of your teacup with the flavors of this next tea.”

True to his word, he awakened the inner mold of my cup with the smoky liquid infused by leaves that had been aged longer than I’ve been alive. Then poured the first pour back onto the teapot with the lid on, creating a wet seal around the teapot. As a result, the leaves were washed. The aromas are concentrated in the pot. And the cup has been given time to get to know the tea.

When, finally, the teacup landed back in my hands, I could taste the unfiltered, rich, smoky, yet mellow aroma of a Wu Yi Shui Xian tea.

If I didn’t know any better, I’d never have guessed his “day” job was being an investor. Specifically, a pre-seed and seed deep tech investor.

Of course, you’re smart. Given the title of this blogpost, you didn’t come here to read about the intricacies of drinking tea. But about the intricacies of deep tech, which in the process of editing this piece, I realize deep tech happens to have the same initials as drinking tea. But that’s not only stretching it, but I digress.

The fine gentleman who sat across from me in a white tee, his name is Arkady Kulik, Co-Founding Partner of rpv, a fund dedicated to backing early-stage scientifically intensive teams. In other words, deep tech. Currently, the industry itself is highly fragmented. In Arkady’s words, “it’s like investing in IT in the 80s. But they’re all ventures that can completely reshape the landscape.”

As Arkady continued, he shared something else quite fascinating. “In software, you’re looking at a high market risk and low technological risk. In deep tech, it’s the exact opposite. We have a low market risk and high technological risk. The problem is not whether they can sell this to people, but rather whether they can build it.”

Naturally, as someone who spends little time looking into the deep tech world week to week, I had to double click on that. What followed was a conversation where I found myself wishing I could take notes faster.

Smelling the tea leaves

As a non-technical person, the biggest question for me has always been: How do you evaluate a deep tech deal?

To Arkady, it’s the entry point in price as a function of Technology Readiness Level. TRL, for short.

rpv focus, deep tech, technology readiness level, nasa
Source: rpv’s Investor Deck (and yes, Arkady gave me permission to share this)

“TRL is actually something that the team at NASA came up with. NASA has always had a lot of internal projects, and they needed some internal tool to evaluate the readiness of those projects.

“It was developed in the 1970s, but was formalized in the decade after. One through three on the TRL scale is all theory. They’re largely funded by the government through grants and such. Seven through nine on the scale is commercial, and covered by generalist VCs. Everything in between is in some form of a product development process. That’s where we come in.

Source: rpv’s Deck, citing NASA TRL levels

“To get the graph above, we take TRL levels on the X-axis and the historical round size data on the Y-axis. Then we looked at every single company, took the lowest and highest round in each vertical within deep tech, and mapped it out.”

While every firm’s “blue box” is different — and after learning about this, I do encourage every deep tech firm to go through such an exercise, rpv’s sweet spot is companies leveraging technologies TRL 3-6 whose round is shy of $1.5 million.

The first pour: Tea meets cup

After passing through the smell test, the first question Arkady tries to answer is always: Is it BS? “I look at every deck myself. No analyst. No associate.”

After Arkady looks at the deck, he then sends it to his team. “They give me one of three scores: green, yellow, or red. If it’s positive — meaning either green or yellow, I take the first meeting. We have 12 deal breakers, ranging everything from lack of ability to protect IP (it’s why we don’t do software deals) to tech, finance, or team conflicts of interest. If any of us in diligence raise a flag, we don’t continue. If not, we ask specific questions to the team.”

When meeting with the team, the question of founder resilience always comes up. Of course, every investor measures grit differently. I ask about excellence and scar tissue, but I was deeply curious as to what Arkady asks for.

“I try to gauge it from learning about founders’ past experiences (not necessarily professional ones),” he goes on, “I dig deeper on tough situations a founder has faced. Also proposing hypothetical scenarios about their fundraising or team dynamics help a lot in understanding that facet.”

Without a beat, I follow up, “For that, do you have any go-to questions?”

“Nothing formal. I try to find an experience in someone’s past that could be good grounds for showing resilience: competitive sports, PhD, previous startups, complicated and long-term projects in the corporation or something like that.

“For the hypothetical scenarios, I ask things like ‘What if you won’t gather the round?’ Or ‘What if your co-founder absolutely had to resign, what’s your action plan in the bus factor case?’

“It’s an area where you look at how they react, not just what they say. How does their body language change when they’re answering the question. It’s about the non-verbal signals. ‘Tell us an experience in the past and things didn’t go your way, and things were dragging.’ Was it when you applied to college? Or went for your PhD? Or when you were trying to go on a date with someone you liked?’

“Resilient people usually have some kind of Plan B. People who don’t have another plan and still try the same thing again and again are stubborn. We don’t seek stubbornness in entrepreneurs. We look for their ability to be honest with themselves and other people.”

The second pour: Tasting the depth

“If there are no red flags after meeting the founders, then we move into scientific due diligence. We ask everything from deep scientific questions (on isotopes or wavelengths) to the feasibility of the product — essentially a peer review on a paper by our internal, but also external scientists and advisors. The latter to get a truly unbiased opinion.

“Then we do a deeper diligence process with a scorecard of 35 items from team composition to their stage of development to their ability to protect IP to the availability of competition, each rated twice. Once by myself, and another by our advisors and venture partners. Then we average the points out for each of the 35 items and compare against our thresholds. If it’s a green light, we make an investment decision. If yellow, we follow up with the target venture’s team to see if they have a good answer to our concerns. And if not, then we say no. If red, well, we also say no. Though we have yet to give a red final score after using the scorecard since they’ve all died during the extensive due diligence process.”

In our conversation, which eventually migrated to Zoom (with some people, you just never run out of things to ask), I postulated about the variability in venture firms using scorecards. There are strong reasons why you should or shouldn’t from both sides of the aisle. Both of which have generated great returns for their LPs.

Today, many of the top tier venture firms make outlier decisions based on gut. It’s the same reason why generational or succession planning at these top firms are so hard. Once the GP leaves or retires, the next generation have a hard time making the same investment decisions as the previous generations.

On the scorecard end of the spectrum, hedge funds are, by definition, firms who employ algorithmic discipline to generate alpha. On the venture side, you have Correlation Ventures, SignalFire, just to name a few. Seven years back, Social Capital’s Capital-as-a-Service, just to name a few. The last of which seemed to have been deprecated due to the inability to scale support for a portfolio of 500 startups, rather than the inefficacy of their “scorecard.” As you might suspect, a topic I’m quite fascinated about.

“We make our decisions based on scorecards,” Arkady reaffirmed, “And if you were to look at each one we’ve done, you’ll see that it’s rare that our team sees eye to eye. We disagree a lot. It’s an individual decision and we take it. And we never try to convince the other to change their score. We trust each other to give a score we believe in. For advisors, since we have many, we take the average of all their opinions. We also ask different advisors for each item on the scorecard. Some advisors are excellent in one area, but might not be fluent in another.

“The final thing I’ll say is that when something feels off, we say no. Even if the data shows green, but we’re unsure about the validity of the data, we still pass. One of the best pieces of advice I got around hiring is if you’re not sure about a hire, pass. It’s the same with investing.”

For Arkady, that is the weapon of their choice.

In closing

Between three calls and a tea ceremony, even then, we only touched the tip of the iceberg. One I’m likely to have many more questions for Arkady and my other friends who live and breathe in this space. It’s an exciting space. To be fair, even calling it all just one space is an understatement. It’s a permutation of many that’ll be segmented when the broader investment community starts to understand them all better. Myself included.

Looking forward to it all, and appreciate you, Arkady, for all the back and forth edits, lessons, and the tea!

Photo by Content Pixie on Unsplash


Stay up to date with the weekly cup of cognitive adventures inside venture capital and startups, as well as cataloging the history of tomorrow through the bookmarks of yesterday!


The views expressed on this blogpost are for informational purposes only. None of the views expressed herein constitute legal, investment, business, or tax advice. Any allusions or references to funds or companies are for illustrative purposes only, and should not be relied upon as investment recommendations. Consult a professional investment advisor prior to making any investment decisions.