The Venture Capital Apocalypse is coming...it might even be here already.
The venture capital asset class is facing a watershed moment. Orphaned/Zombie VC software companies are everywhere.
I'm a 'DATA DRIVEN' guy so I'm going to show you 6 graphs that illustrate how dire the situation is.
The problems really start in 2020/2021. Massive amounts of dollars poured into every stage of Venture Capital. The number of unicorns exploded. This will come in later as a major issue.
There were simply too many dollars facing the same number of generational companies.
Eventually, interest rates got JACKED UP and a combination of public market valuations and private equity skepticism led to an early decline in M&A. The only way VCs make money is on long tail M&A outcomes. This eventually led to skyrocketing numbers of down rounds.
The lack of M&A continued to compound. Public markets now started to care a LOT more about profit and real accretive acquisitions. You couldn't just buy a high growth start up and see a share price pop. Not only that, there was a ton of software M&A in 2021 and those acquisitions started to fail.
This chart is particularly damning. For the technical chart nerds among us, exit values generally followed a long term trend upward. This made the VC asset class viable. We have seen a massive gap form between the trend line for acquisition price and actuals in software.
Finally, we are seeing exit multiples (acquisition prices) for both growth software companies and rule of 40 stay stubbornly low. I know on my side in software PE that I'm seeing some TOUGH valuation pills to swallow for founders. This is DIRE for the VC asset the class. All the ROI is in the long tail outcomes...and they aren't happening.
All of this has manifested in lows for distributions for most VC funds.
1) VCs invested in businesses at lofty valuations. 2) VC. backed software acquisitions are plummeting 3) Down rounds are sky rocketing
All of this results in VCs not distributing much to LPs.
So, where do we go from here?
1) Many VCs will likely shut down. This sucks. 2) I think the top VC funds will be fine. There will always be generational businesses founded every year. Top VCs will get the pick of the litter. They will downsize AUM. 3) Overall LP allocation to VC will likely go down. 4) There will be many 'orphaned' VC backed software companies that don't have a path forward in the new environment.
IF you have >$10mm in ARR and want out, DM me. I'll help you find a solution. Don't work the rest of your life for an outcome that's unlikely.
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FOUNDERS: THEY DON'T WANT YOU TO KNOW YOU CAN RENEGOTIATE YOUR CAP STACK
I keep seeing VC zombie SAAS cos in my deal flow.
The same story every time: M&A prices have dropped and if the company sells the founder gets ZEROOO.
You know you can just ...renegotiate right? 🧵
What the VCs don't want you to know is that you can literally renegotiate all of it. Anything is negotiable. Look at f***ing trump: dude is renegotiating decades old trade agreements with LITERAL COUNTRIES.
How would we do this in theory?
The most important thing to VCs right now with these zombies is NOT WRITING ANYTHING DOWN. They don't want to realize a loss on their investment (most are desperately fund raising or trying to prove the asset class isn't cooked) so the strategy revolves around minimizing that.
THE MOST ATTRACTIVE PE STRATEGY ATM: SOFTWARE SPECIAL SITUATIONS
Private equity, as an industry, is kind of f***ed. Many strategies, to me, have an extremely nebulous outlook on IRR over next 4 years...except for one. I'm biased, as I will be launching a LARGE investment vehicle for this strategy, but imma teach ya'll about my favorite pocket of PE investing atm: Software Special Sits.
'Special Situations'...what the f*** does that mean? Well, it is really just majority investing in weird situations. Traditional Software PE was 'Buy a growing software company at premium valuation, grow it more, sell to a public OR IPO'. Sadly, this strategy is FLOPPING rn.
As I've outlined in a shit load of other posts, there's no liquidity at the top. You have to get zesty in structure. To put it simply:
Buy an asset that is extremely mispriced, generating IRR on the back end. Your entry is so low that even in a mid exit your IRR is excellent.
HOW TO BREAK INTO PRIVATE EQUITY: Many of you have asked me how to break into this industry. I thought I would write a thread on the advice I give most often. This advice is NOT for someone with 3 years investment banking experience. Your chances are low, but they aren't 0. 🧵
A few disclaimers: 1) You shouldn't get into this gig unless you genuinely have intense passion for private investing. I mean really intense. It is a difficult profession. If you don't LOVE this stuff, you will hate it. 2) Your odds of success are low.
Now then: you want to break into PE. You don't have the blueprint experience (3 years investment banking). So, what do you do? This is a VALUE game. Asking to get coffee won't work. Asking to network won't work. At scale, friendships won't get you in. You need to bring VALUE.
LBO / PRIVATE EQUITY LEGENDS IS BACK. Algorithm changes be damned. I pulled 300,000 M&A deals. I profile the top private equity deals of all time. These guys made a billion dollars on CATHETERS? This is the story of GTCR's acquisition of RESONETICS 🧵🧵🧵
The year is 2014. Regatta Medical, under GTCR, acquired Resonetics from Sverica Capital Management. Sverica had previously bought Resonetics in 2014 from Corporate Fuel Partners. The deal is rumored to have been done for $200mm. What do they do?
Resonetics specializes in laser micro-machining manufacturing services for medical device and diagnostic firms, boasting the world's largest capacity for laser micro-machining polymers in ultra-violet wavelengths. How does this relate to the medical industry?
$900,000 SALARIES FOR AI 'product managers'? Imagine what the top AI engineers are making. We are either at the top, or at the beginning of something wild. Considering GPT4 dropped a few months ago, I'm inclined to think this is the beginning. 🧵🧵🧵
I saw a few threads from people outlining existing generative AI use cases. They think it's overplayed. As someone who considers himself at the forefront, we aren't hyping it enough. LLMs open us up to a new 'logical core' for many use cases, whether it is robotics or automation
When you think about what it takes to automate many things, whether it is data entry or robots that can help around the house, whatever 'bot' is executing the task needs a 'brain'. The robot that helps your aging mom needs to understand the world. LLMs enable this understanding.