Why No One’s Marking Down Their Portfolio

In one of the recent All-In podcast episodes, Bill Gurley shared that both VCs and LPs aren’t marking down their portfolios. For GPs, inflated numbers helps you raise the next fund. For LPs, they’re given their “bonus on paper marks. So, they don’t have an incentive to dial around to their GPs and say, ‘Get their marks right.’ ‘Cause it’s actually going to reflect poorly on them if they were to roll those up.”

The last few years, enterprise value has been largely based on multiple expansion. The truth is we’re not going to see much of it in the incoming years. Even AI that’s exploding right now will see a contraction of their multiples in due time.

Companies that should not be in business today will see their ultimatum too in the next few years. Hunter Walk recently wrote “they’re 2017-2021’s normal failures clustered into current times.”

So, while some GPs do pre-emptively mark down their portfolio by 25-30% — we’re seeing this behavior more so in pre-seed and seed funds — the only people in this whole dance that are incented to mark down portfolios are new LPs trying to figure out if they want to commit to a new fund.

Charles Hudson recently shared a beautiful chart:

Source: Charles Hudson’s The number one piece of advice I give to new VCs launching their investing careers

And while the advice applies to newer VCs, the same is true for experienced investors. Of course, most investors aim to be in the upper right-hand corner, but that’s really, really hard. In truth, most notable investors fall in two cohorts: marketers and tastemakers.

Marketers:

  • Share a high volume of deal flow,
  • Lower quality opportunities,
  • Have relatively low conviction on each deal compared to their counterparts, the tastemakers,
  • Have comparatively diversified portfolios,
  • And could have adverse effects on branding and positioning in the market.

Tastemakers, on the other hand:

  • Share a lower volume of deals,
  • Usually higher quality opportunities,
  • Higher conviction per deal,
  • Have comparatively more concentrated portfolios.
  • And the downside may simply be the fact that their volume may not warrant raising a fund around, and might be better off as an opportunistic investor.

And speaking of concentrated versus diversified, the interesting thing, as Samir Kaji shared on his recent podcast episode, is that “at 85 companies [in the portfolio], you had over 90% chance of getting a 2X. But a very low chance at getting anything above a 3X. And with smaller portfolio sizes [between 15-25 companies], there was much higher variance — both on the top and bottom. Higher chance that you perform worse than the median. But a much higher chance of being in the top quartile and even beyond that, in the top decile.”

It’s also so hard to tell what high quality companies look like before the liquidation event. Naturally, high quality funds are even harder to tell before the fund term. It’s ’cause of that that a few LPs and I wrote the post last week on early DPI. But I digress. At the end of the day, many, for better or worse, use valuation and markups as a proxy for quality.

But really, the last week’s valuation in this week’s market environment. Rather than chasing an arbitrary number, a lot more LPs when evaluating net new fund investments, and GPs making net new startup investments, care about the quality of the businesses they invest in. It’s not about the unicorns; it’s about the centaurs. The $100M annualized revenue businesses.

Samir Kaji’s words in 2022 ring true then as they do today. “Mark-downs of prior vintages are starting to occur but will take some time given valuation and reporting lags.” We’re still seeing many who have yet to go back to market. As many say, the flat round is the new up round. But until folks go back to market, there are many who won’t jump the gun in writing down their portfolio. But they are cautioning themselves, so that hopefully they won’t make the same mistakes again. The goalposts have changed.

I’m reminded of Henry McCance’s words channeled through Chris Douvos. “When an asset class works well, capital is expensive and time is cheap. What we saw in the bubble was that capital got cheap and time got expensive.”

We’re now back at a time when capital is expensive and time is cheap.

Photo by Frank Zinsli 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.

The Science of Selling – Early DPI Benchmarks

The snapshot

Some of you reading here are busy, so we’ll keep this top part brief, as an abstract sharing our top three observations of leading fund managers.

Generally speaking, don’t sell your fast growing winners early.

Except when…

Selling on your way up may not be a crazy idea.

  1. You might sell when you want to lock in DPI. Don’t sell more than 20% of your fund’s positions unless you are locking in meaningful DPI for your fund. For instance, at each point in time, something that’s greater than 0.5X, 1X, 2X, or 3X of your fund size.
  2. You might consider selling when you’ve lost conviction. Consider selling a position when you feel the market has over-priced the actual value, or even up to 100% if you’ve lost conviction.
  3. You might consider selling when one is growing slower than your target IRR. If companies are growing slower and even only as fast as your target IRR, consider selling if not at too much of a discount (Note: there may be some political and/or signaling issues to consider here as well. But will save the topic of signaling for another blog post).

Do note that the above are not hard and fast rules. Every decision should be made in context to other moving variables. And that the numbers below are tailored to early-stage funds.

Net TVPI Benchmarks from Years 5-15
Net DPI Benchmarks from Years 5-15

Let’s go deeper…

On a cloudless Friday morning, basking in the morning glory of Los Altos, between lattes and croissants, between two nerds (or one of whom might identify as a geek more than a nerd), we pondered one question:

How much of selling is art? How much is science?

Between USV selling 30% of their Twitter stake, Menlo selling half of their Uber, Benchmark only selling 15% of their Uber pre-IPO shares, and Blackbird recently selling 20% of its Canva stake, it feels more like the former than the latter. Then when Howard Marks says selling is all about relative selection and the opportunity cost of not doing so, it seems to reinforce the artistic form of getting “moolah in da coolah” to borrow a Chris Douvos trademark.

Everyone seems to have a financial model for when and how to invest, but part of being a fiduciary of capital is also knowing when to distribute – when to sell. When RVPI turns into DPI. And we haven’t seen many models for selling yet. At least none have surfaced publicly or privately for us.
The best thought piece we’ve seen in the space has been Fred Wilson’s Taking Money “Off the Table”. At USV, they “typically seek to liquidate somewhere between 10% and 30% of our position in these pre-IPO liquidity transactions. Doing so allows us to hold onto the balance while de-risking the entire investment.”

Source: Fred Wilson’s Taking Money “Off The Table”

In aggregate, we’ve seen venture fund distributions follow very much of the power law – whether you’re looking at Correlation’s recent findings

Source: Correlation Ventures

Or what James Heath has found across 1000+ firms’ data on Pitchbook.

Source: James Heath

As such, it gave birth to a thought… What if selling was more of a science?

What would that look like?

Between two Daves, it was not the Dave with sneakers and a baseball cap and with the profound disregard to healthy diets, given the fat slab of bacon in his croissan’wich, who had the answer there.

“To start off, in a concentrated portfolio of 30 investments, a fund returner is a 30x investment. For a 50-investment fund, it’s 50x. And while hitting the 0.5x DPI milestone by years 5-8, and a 2x DPI milestone by years 8-12, is the sign of a great fund, you shouldn’t think about selling much of your TVPI for DPI unless or until your TVPI is starting to exceed 2-3x.” Which seems to corroborate quite well with Chamath Palihapitiya’s findings that funds between 2010 and 2020 convert have, on average, converted about 25% of their TVPI to DPI.

“Moreover, usually you shouldn’t be selling more than 20% of the portfolio at one time (unless you’re locking in / have already locked in 3X or more DPI). You should be dollar-cost averaging – ensuring time diversity – on the way out as well. AND usually only if a company that’s UNDER-growing or OVER-valued compared to the rest of your portfolio. Say your portfolio is growing at 30% year-over-year, but an individual asset is growing slower at only 10-20% OR you believe it is overvalued, that’s when you think about taking cash off the table. Sell part (or even all) of your stake, if selling returns a meaningful DPI for the fund, and if you’re not capping too upside in exchange for locking in a floor.”

Meaningful DPI, admittedly, does mean different benchmarks for different kinds of LPs. For some, that may mean 0.25X. For others that may mean north of 0.5X or 1X.

“On the other hand, if a company is outperforming / outgrowing the rest of the portfolio, generally hold on to it and don’t sell more than 10-20% (again, unless you’re locking in meaningful DPI, or perhaps if it’s so large that it has become a concentration risk).”

I will caveat that there is great merit in its counterpart as well. Selling early is by definition capping your upside. If you believe an asset is reaching its terminal value, that’s fine, but do be aware of signaling risk as well. The latter may end up being an unintended, but self-fulfilling prophecy.

So, it begged the question: Under the assumption that funds are 15-year funds, what is meaningful DPI? TVPI? At the 5-year mark? 7.5 years in? 10 years? And 12.5 years?

The truth is the only opportunities to sell come from the best companies in your portfolio. And probably the companies, if anything, you should be holding on to. By selling early, you are capping your downside, but at the same time capping your upside on the entire portfolio. When the opportunity arises to lock in some DPI, it’s worth considering the top 3-5 positions in your fund. For instance, if your #2 company is growing quickly, you may not be capping the upside as much.

Do keep in mind that sometimes it’s hard to fully conceptualize the value of compounding. As one of my favorite LPs reminded me, if an asset is growing 35% year-over-year, the last 20% of the time produces 56% of the return. Or if an asset is growing 25% YoY, if you sell 20% earlier (assuming 12 year time horizons), you’re missing out on 45% of the upside.

As a GP, you need to figure out if you’re IRR or multiple focused. Locking in early DPI means your IRR will look great, but your overall fund multiple may suffer.

As an LP, that also means if the gains are taxable (meaning they don’t qualify for QSBS or are sold before QSBS kick in), you need to pay taxes AND find another asset that’s compounding at a similar or better rate. As Howard Marks puts it, you need to find another investment with “superior risk-adjusted prospective returns.”

And so began the search for not just moolah in da coolah, but how much moolah in da coolah is good moolah in da coolah? And how much is great?

Net TVPI Benchmarks from Years 5-15
Net DPI Benchmarks from Years 5-15

Some caveats

Of course, if you’ve been around the block for a minute, you know that no numbers can be held in isolation to others. No facts, no data points alienated from the rest.

Some reasons why early DPI may not hold as much weight:

  • Early acqui-hires. Usually not a meaningful DPI and a small, small fraction of the fund.
    • There’s a possibility this may be the case for some 2020-2021 vintages, as a meaningful proportion of their portfolio companies exit small but early.
    • In other words, DPI is constructed of small, but many exits, rather than a meaningful few exits.
  • TVPI is less than 2-3x of DPI, only a few years into the fund. In other words, their overall portfolio may not be doing too hot. Obviously, the later the fund is to its term, the more TVPI and DPI are alike.
  • As a believer in the power law, if on average it takes an outlier 8 years to emerge AND the small percentage of winners in the portfolio drive your return, your DPI will look dramatically different in year 5 versus 10. For pre-seed and seed funds, it’s fair to assume half (or more) companies go to zero within the first 3-5 years. And in 10 years, more than 80% of your portfolio value comes from less than 20% of your companies. Hell, it might even be 90% of your portfolio value comes from 10% of your companies. In other words, the power law.
  • GPs invested in good quality businesses. Some businesses may not receive markups, but may be profitable already, or growing consistently year-over-year that they don’t need to raise another round any time soon.
  • Additionally, if you haven’t been in the investing game for long, persistence of track record, duration, and TVPI may matter more in your pitch. If you’ve been around the block, IRR and DPI will matter more.
  • As the great Charlie Munger once said, “selling for market-timing purposes actually gives an investor two ways to be wrong: the decline may or may not occur, and if it does, you’ll have to figure out when the time is right to go back in.” For private market investors, unless you can buy secondaries, you’ll never have a time to go back in until the public offering. As such, it is a one-way door decision.

Some LPs are going to boast better portfolios, and we do admit there will be a few with portfolios better than the above “benchmarks.” And if so, that’s a reason to be proud. In terms of weighting, as a proponent of the power law, there is a high likelihood that we’ve underestimated the percent of crap and meh investments, and overestimated the percent of great investments in an LP’s portfolio. That said, that does leave room for epic fund investments that are outliers by definition. 

We do admit that, really, any attempt to create a reference point for fund data before results speak for themselves is going to be met with disagreement. But we also understand that it is in the discourse, will we find ourselves inching closer to something that will help us sleep better at night.

One more caveat for angels… The truth is as an angel, none of the above really matter all that much. You’re not a fiduciary of anyone else’s capital. And your time horizons most likely look different than a fund’s. It’s all yours. So it’s not about capping your downside, but more so about capping your regret. In other words, a regret minimization framework (aka, “spouse regret/yelling minimization insurance”). 

That will be so unique to you that there is no amount of cajoling that we could do here to tell you otherwise. And that your liquidity timelines are only really constrained by your own liquidity demands.. For instance, buying a new home, sending kids to college, or taking care of your parents (or YOU!) in their old age.

But I do think the above is a useful exercise to think through selling if you had a fund. You would probably break it down more from a bottoms up perspective. What is your average check size? Do you plan to have a concentrated portfolio of sub-30 investments? Or more? Do you plan to follow on? How much if so? And that is your fund size.

In closing

Returning above a 3x DPI is tough. Don’t take our words for it. Even looking at the data, only 12.5% of funds return over a 3x DPI. And only 2.5% return three times their capital back on more than 2 separate funds.

In the power law game we play, as Michael Mauboussin once said, “A lesson inherent in any probabilistic exercise: the frequency of correctness does not matter; it is the magnitude of correctness that matters.” Most will return zero, or as Jake Kupperman points out: More than 50%.

Source: Jake Kupperman’s The Time Has Come to Modernize the Venture Capital Fund of Funds

But it’s in the outliers that return meaningful DPI, not the rest. Not the acqui-hire nor really that liquidation preference on that small acquisition.

At the end of the day, the goal isn’t for any of the above to be anyone’s Bible, but that it’d start a conversation about how people look at early returns. If there is any new data points that are brought up as a result of this blogpost, I’ll do my best to update this thread post-publication.

Big thank you to Dave McClure for inspiring and collaborating on this piece, and to Eric Woo and all our LP friends who’ve helped with the many revisions, sharing data, edits, language and more. Note: Many of our LP friends chose to stay anonymous but have been super helpful in putting this together.

Footnotes

For the purpose of this piece, we know that “good” and “great”, in fact all of the superlative adjectives, are amorphous goalposts. And those words may mean different things to different people. This blogpost isn’t meant to establish a universal truth, but rather serve as a useful reference point for both LPs, looking for “benchmarking” data, and GPs to know where they stand. For the latter, if your metrics do fall in the “good” to “great” range, they’re definitely worth bragging about.

And so with that long preamble, in the piece above, we defined “good” as top quartile, and “great” as top decile. “Good” as a number on its own, enough for an LP to engage in a conversation with you. And “great” as a number that’ll make LPs running to your doorstep. Or at least to the best of our portfolios, leveraging both publicly reported and polled numbers as well as our own.

Our numbers above are also our best attempt in predicting steady state returns, divorcing ourselves from the bull rush of the last 3-5 vintage years. As such, we understand there are some LPs that prefer to do vintage benchmarking, as opposed to steady state benchmarking. And this blogpost, while it has touched on it, did not focus on the former’s numbers.

EDIT (Aug 18, 2023): Have gotten a few questions about where’s the data coming from. The above numbers in the Net DPI and Net TVPI charts are benchmarks the LPs and I agreed on after looking into our own anecdotal portfolios (some spanning 20+ years of data), as well as referencing Cambridge data. These numbers are not the end-all-be-all, and your mileage as an LP may very much vary depending on your portfolio construction. But rather than be the Bible of DPI/TVPI metrics, the purpose of the above is give rough reference points (in reference to our own portfolios + public data) for those who don’t have any reference points.

Cover Photo by Renate Vanaga 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.

My Ever-Evolving Personal CRM

The soul dwells in things and in people you cherish.

I don’t remember where I first heard that line. But it’s a line that resurfaces in my life quite regularly.

Building and, more importantly, keeping relationships alive is something I get quite nerdy about. Have always been nerdy about, and have personally made a few angel investments on this front as well.

A few friends and I literally spend a few hours riffing on topics like this. So when Obi launched my episode with him on the Frugal Athlete, it sparked a few more conversations about my Airtable CRM, which I thought might be helpful to share some additional context.

I will also preface that my goal of even keeping a CRM in the first place was not motivated by a fear of not remembering hundreds of names. My fear was not remembering that one friend who’s been a champion in my life.

What’s in the CRM?

So I have the usual table stakes I imagine most, if not all, CRMs have:

  • Name
  • Location
  • Email
  • Socials
  • Preferred medium of communication
  • How we met
  • Year we first met
  • Last time we chatted
  • Job title
  • Company
  • Past companies
  • Expertise
  • Things they like/dislike
  • Birthday

But the reason you’re here is not for the table stakes. You’re here for what I include that others may not. So let me share a few.

Chill Factor

This one is simple. Different people have different propensities to go deep. Some choose not to. For others, maybe we just don’t know each other well enough. But it’s a reminder to myself (just because I’m quite unfiltered sometimes) that not everyone I know is comfortable with being vulnerable. It helps me, especially for someone I haven’t chatted with in a long time, calibrate the tone of how I reach back out to them.

Why I’m useful to others

While most people track a person’s expertise, I also track how I can be helpful to others. Sometimes it’s my network. Other times, it’s the events in which I host. But also, my network (i.e. they want intros from me), or job opportunities, or advice in which I can impart in different functions/industries. In the world of being an investor, the most canonical question a VC can ask is “How can I be helpful?” Which in all fairness, is a good question showing one’s willingness to help. But if I have context already, instead of asking that every time, I can take it one step further and actually offer specific things in which I am helpful to them in.

My bucket list

One thing I learned very early on as someone seeking advice and mentorship is that one of the best ways of giving back is to follow up once you’ve actioned on someone else’s advice or suggestion. It shows you take their words seriously. And so as soon as I built my CRM, I decided to track everyone’s recs. And when I finally check off something on the bucket list, I know who to go back to and thank for the recommendation. For many, that comes as a welcome surprise.

It also helps me help others when people ask me to recommendations, be it book, restaurant, movie, tourist spot or otherwise.

Quotable moments

No screenshot here unfortunately; just because some thoughts have been shared in confidence. But if you’re a repeat reader here on this blog, you’ll know I love quotes. And I love collecting quotes. And naturally, any time someone shares a tweetable soundbite or a banger, I make sure it’s not lost to the cosmos. I may not share all of them, but when I do, I know who to give attribution to, but many of my friends have admittedly used my CRM and me as their biographer.

In closing

I don’t want to get too metaphysical about this. But my Airtable is less so of an automation or an attempt to outsource friendships, but more so, it keeps me honest. When my memory slips and fails me, my CRM reminds me of the little moments that make my friends awesome!


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.

#unfiltered #83 There Doesn’t Have to be a First Place

medal, winner, gold, first place

I recently learned that in FISM competitions — competitions hosted by the International Federation of Magic Societies (if the letters aren’t in order, it’s because FISM is in French not in English), that the judges don’t have to award any prizes. Meaning if they don’t think any of the magicians and their acts are up to par, they don’t have to dole out a first, second or third place. And according to Simon Coronel, it happens quite often. The goal is simple. That winning first place should mean something. Not just because you’re better than the rest that day or that year, but that you really deserve to stand among the greats.

And it got me thinking. Are there other fields that should strive for the same level of rigor?

For instance, does an Oscar need to be awarded every year for each category?

Or an Olympic gold medal for each event every four? (Although a caveat to my own, if the rules change, like when in 2010, they banned male full-body suits when swimming at the international stage, then there should be a reevaluation of excellence.)

And there might be some years that the best prize awarded should just be a second place one.

Then there are other contests, where the number of prizes only seem to increase. In other areas, namely to join certain rankings organized by members of the press, you have to pay for your spot. The latter of which I have no experience in. But had heard of accounts from friends who have.

The truth is it’s not my place to rate the world’s greatest artists or athletes. But it does make you wonder that if the magic society can hold themselves to that high of a regard, why can’t the rest of us do so?

Once upon a note

As all good Asian children did, once upon a time, I learned to play the piano since I was five. One of many teachers and admittedly the one I was with for the longest happened to this sweet lady who taught her students out of her home. And every year, usually around the beginning of summer, she would rent out a hall and host a recital between all her students. Every student (and she had 30-40 students) — from beginning to master — would play one song.

The whole recital would last about 2-3 hours. And at the close, there would be an award ceremony. For each skill category, there would be a Best of Show trophy. And for everyone else, a participation trophy. When I was first started off and was quite bad, that participation trophy felt great, even if I was only playing Twinkle Twinkle Little Stars. I put it at the top of my shelf next to my bed, so I would see it every morning when I woke up.

Then 1-2 participation awards later, they had lost their luster. The Best of Show is now what I was aiming for.

For a brief period of time, that was my goal. And eventually I got it. But I remember when I finally got it, I wasn’t nearly as elated as I thought I’d be. ‘Cause that year my teacher decided that one Best of Show wasn’t enough. Three felt right to her. To be fair, I don’t know if she had over-ordered or just felt the need to give more out due to some parental complaints. But I remember receiving mine alongside someone who I knew made a few hiccups on stage. And even though I did the best I could have, I didn’t feel like I deserved it.

So that night, I didn’t even put the Best of Show trophy on my shelf.

A side corollary to angel investing

The greatest feature of being an angel investor (as opposed to being a VC) is that you can be opportunistic. Your fund size is your own liquidity. You’re not tied down to a mandate. Or a deployment schedule. And if so, self-induced. What it means is that you invest only when you see a great company and team. Anything south of that means you don’t have to. You don’t have to award a check to a founder if you don’t feel they’re deserving of a first place. And because of that, “first place” actually means something. Not only to the founders you invest in, but to you.

That said, playing my own devil’s advocate, much of early-stage investing is luck-based game. And it is foolhardy to attribute to skill when a large amount of variables is unbeknownst at the time of investing — be it asymmetric information, or market conditions, incumbent moves, or purely black swan events in the future. The latter few, you need to count on luck more than once. And luck purely defined as “uncertainty in outcome,” in the words of the great Richard Garfield.

Photo by Brands&People on Unsplash


#unfiltered is a series where I share my raw thoughts and unfiltered commentary about anything and everything. It’s not designed to go down smoothly like the best cup of cappuccino you’ve ever had (although here‘s where I found mine), more like the lonely coffee bean still struggling to find its identity (which also may one day find its way into a more thesis-driven blogpost). Who knows? The possibilities are endless.


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.