Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
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25 slides
Jun 12, 2024
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About This Presentation
SaaStr Europa 2024
Size: 22.19 MB
Language: en
Added: Jun 12, 2024
Slides: 25 pages
Slide Content
VC Fundraising Workshop Jason Lemkin Founder & CEO SaaStr It’s the Same but Different
VCs Mostly Still Hunting Decacorns In 2021, “easy” to see in SaaS In 2024, “easy” to see in AI vs
100x ARR Back … For Subset of AI
Why AI is Already Big $$$
Best of Best Still There in SaaS Now that we know it can be done (SaaS Decacorns) … so … Big Funds flooding winners with capital
How a $2B Fund Makes Money A $2B fund is what it takes to write a Series B check today Even 4 unicorn cash exits not enough for $2B fund
Seed Funds Crunched on Ownership A $100m seed fund even with 3+ $1B exits can’t make money with 5% ownership That’s really 10% though at seed (50% dilution profile)
VCs Investing, But Stress in System
Big Funds Tripling Down on Winners Big Funds flooding winners with capital Capturing a lot of headlines, but later stage overall still slow — outside of AI
Yes, Come to SF Bay to Raise VC $$$
Growth is Still King -- NOT Profits Efficiency only matters: Run up to IPO If can’t raise more money Otherwise, VCs don’t really care if profitable or that efficient … if growth is epic
Triple Triple Double Double Still Rules Many B2B startups have seen growth slow, but not all Still need “T2D2”, or ideally, “T3D2” to get to $200m+ ARR, growing 40%, in 9-10 years or less
Growth Slowed? Cry Me a River 80%+ of VC-backed startups not growing fast enough anymore to raise another round Be very self-aware here
Growth Slowed? Cry Me a River 80%+ of VC-backed startups not growing fast enough anymore to raise another round Be very self-aware here
Calling Yourself “AI” (Probably) Isn’t Enough
B2B2C, Vertical, Security: No Downturn
B2B2C: Bounced Back Fast
Stress Will Remain Where Multiples Are Low
A Tale of Three Worlds
Thank You!
VCs Probably Too Optimistic on M&A
AI: But Where is Budget Coming From? Other Apps, Budgets In Many Cases Being Cut to Fund AI Why? Huge Efficiency Promises