
David Li
@davidycli
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just a guy trying to make drugs that help patients
San Francisco, CA
Joined July 2014
In biotech, China now ahead in ADCs, bispecific Ab’s, T cell engagers, and traditional small mlc’s . US still slightly ahead on cell and gene therapy, gene editing, and more exotic small molecules (glues, covalents, degraders, etc) . China clinical dev timelines 50-100% faster.
US is firmly, unambiguously losing to China in every area of robotics, every area of transportation other than airliners, every area of energy generation and storage, and every area of infrastructure and construction. In 2025 we will lose our lead on AI, semiconductors, and more.
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How close are we to widespread adoption of industrialized AI agents in biotech & drug discovery? . Progress has accelerated in the last 6 mo: . - @ProjectBiomni, general purpose scientific AI agent automating literature reviews, hypothesis generation, protocol design,.
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A lot of things in life are just focusing on doing one thing really well . - marriage / serving and growing with one person .- career / one highly differentiated skill .- making investments / honing one approach to finding alpha .- raising money / becoming world class at sales .-.
A lot of things in life are just a numbers game. - Dating.- Job applications.- Asymmetric risk investments.- Getting investment for a start-up.- Getting grant money in academia.- Making viral social media content.- Finding an amazing restaurant.- Trying to get good at anything.
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First oncology >> . then immunology / cardio / metabolic >> . lastly neuro . Where to hide?.
Inevitably turning to a situation where most big advances in oncology will happen in China and then licensed out to pharma. Hard to believe, but this is part of the sea change. Trump NIH cuts are completing the longterm picture.
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Not sure folks in biotech world are paying attention but the recent House budget bill basically cements "higher for longer" rates into "higher forever" regime. The only politically defensible path fwd is mass money printing >. investment hurdle rates adjust accordingly >.
another case in pt how this downturn in biotech is different >> . biotech as an industry has pretty much only existed in a falling rates regime. we're finding out how venture math for long-dated biotech cash flows works if cost of capital is increasing rather than decreasing over
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another case in pt how this downturn in biotech is different >> . biotech as an industry has pretty much only existed in a falling rates regime. we're finding out how venture math for long-dated biotech cash flows works if cost of capital is increasing rather than decreasing over
This down cycle has fundamentally changed biotech . Out: .- open ended platform builds .- funding for novel biology exploration .- assumption of M&A exit to large pharma . In:.- newco / venture creation model leveraging China preclin / early dev execution .- doubling down on.
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This down cycle has fundamentally changed biotech . Out: .- open ended platform builds .- funding for novel biology exploration .- assumption of M&A exit to large pharma . In:.- newco / venture creation model leveraging China preclin / early dev execution .- doubling down on.
"I am usually an optimist and a believer in cycles. But this cycle feels different. And the level of uncertainty is off the charts – that’s poison for investors.".
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Top issues you face as a therapeutics startup, in chronology: . - No great cofounder .- No real differentiation of underlying technology platform.- Commercially uninteresting clinical TPP for first asset .- No convincing preclinical data for first asset .- Running out of money .-.
Top issues you face as a startup, in chronology:. - No great cofounder.- No real PMF yet.- Running out of money.- Too feature poor.- Can't close strong 1.0 mgmt team.- Competition bigger / faster / strong.- Can't close strong 2.0 mgmt team.- No strong second product / vertical.
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Upfront capital intensity of biz model directly increases % of VC ownership on cap stack. You see that in biotech where VC often owns >50% pre series A (although macro trends like AI / computational drug discovery and China outsourcing are bringing that down). And you see it with.
You can see the end state of this in biotech. Investors own the entire cap table and employees barely make money in big outcomes. You end up with mercenaries instead of missionaries driving increasing cash compensation that destroys a startup's ability for capital efficiency.
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