8 ms·

The reason you don't see more startups in the hard sciences is not due to the lack of hybrid talent as this article surmises. It's because: 1 - VCs are reluctan

The reason you don't see more startups in the hard sciences is not due to the lack of hybrid talent as this article surmises. It's because: 1 - VCs are reluctant to fund capital intensive startups that have time horizons for exits that are significantly longer than software based startups. 2 - The product lifecycle is so much longer, which makes it inherently much riskier. In many cases it can be years before you even get to the point where you can get real feedback on the business model. 3 - There are often other considerations e.g. regulations or interactions with existing products, that are entirely outside of the control of the company that can significantly alter the likelihood of success.

Andyfilms 6y ago
This, 100%. The author says how difficult it is for multidisciplinary teams to come together when they don't understand each others skillsets--but the same applies to the investors themselves. When you start talking about these complicated ideas, there comes a point where unless the investor is involved in the industry they're investing in, they simply won't understand the true impact of it. My company is trying to raise capital now, and that is the exact problem we're running into. There's a reason for the "janitor as a service" unoriginal ideas--because they're easy to understand, so more likely to be funded. Those kinds of investors are looking for the buzzwords, too, "as a service," "cloud," "social," "AI" that cut off ideas that aren't strictly consumer-facing and infinitely scalable. If you have a modest idea that requires a modest amount of money and targets a modest group of people, you're just not going to hear back from investors. This causes people to have to wrap their idea in buzzwords or lobotomize it into something that allows them to achieve their true goal in a sideways manner.
- Igelau 6y ago
  > janitor as a service Tired of trusting the flimsy log sheet on the door to know when your custodial staff last cleaned the bathroom? We present: Toiletherium. A cryptocurrency-backed suite of apps and IoT devices that turns real cleaning into real consensus. Our state of the art MopMine equation incorporates real sweat and toil recorded by SmartMops into mining the next block. Pit teams against teams with MopSync, or set individuals against each other... the freedom of choice is yours!
  - ryan_j_naughton 6y ago
    Brilliant. The dystopia we find ourselves in is palpable. Your language drives home the insanity of our times because not only is this product absurd but also believable.
    - sushshshsh 6y ago
      When janitors are automated away by coronavirus, will we also need to teach the robots how to write on paper and read handwriting on paper?
    - wsinks 6y ago
      Yeah, that comment belongs on r/TIHI. Too close to home, too soon...
  - b4ke 6y ago
    Was this gpt-3??? I’ll see myself out. Lol
    - Igelau 6y ago
      There's probably a good German word for the sudden doubt in one's humanity you get when you unintentionally fail a Turing Test. It's like the feeling I get when motion-activated sinks don't see me.
      - throwaway8451 6y ago
        Two suggestions: Menschlichkeitszweifel (Menschlichkeit = humaneness, Zweifel = doubt) Turingzweifel (Zweifel = doubt)
  - thinkingkong 6y ago
    I present to you ‘Manna’ by Marshall Brain. http://www.marshallbrain.com/manna1.htm http://www.marshallbrain.com/manna1.htm
  - james_s_tayler 6y ago
- op03 6y ago
  This is describing just one painful route up the mountain. There are other routes, which usually involve sucking it up, going and working at Wall St or SV for a couple years till you know the "right people" and they know/trust you. After that happens the type of conversations change drastically.
  - 1DRACOSEA8 6y ago
    You’re doing it wrong. It’s about time and chemistry and knowing how to tell the story, even if it is in Yang Mills 5D
    - adenta 6y ago
      What?
      - tortasaur 6y ago
        Judging by the lack of coherency / relevance of the profile's other replies, I'm guessing it's a bot whose model someone's attempting to train on HN comments.
        krageon 6y ago
        A model that has coherency over multiple paragraphs? I don't think that's currently possible - but if I'm wrong about that I'd love a link to a study or a library if you have one. Natural language processing is something I'm very interested in.
        ethanbond 6y ago
        ...did you miss the entire GPT3 hype wave?
        krageon 6y ago
        Evidently :) Thanks!
- an_opabinia 6y ago
  > there comes a point where unless the investor is involved in the industry they're investing in, they simply won't understand the true impact of it. Equity financing is a bad measuring stick for this. But really, when you're competing with, "Buy gold because it's shiny!" - that would have earned investors 26.6 percentage points liquid return YTD - can you really fault people for being skeptical of complex ideas as a class of investments?
troughway 6y ago
Considering that only a small number of VCs make any money at all (power law strikes again), it doesn't surprise me that the rest of them are some combination of reluctant and inept when it comes to investing and seeing the long term game of some of these prospective hard science initiatives. The ones that do succeed end up spending what money they made to keep the deck stacked their way and crush opposition. It's not so much that there's no barriers to entry. They exist, it's all the competitors that have VC money ready to burn to keep you out of the game. Example: EV wouldn't have really taken off without Tesla battering the living shit out of it. Now the other manufacturers are starting to play catch up after suppressing it for decades. It's not like we miraculously discovered the technology for EV drivetrains a decade ago. It's been there all along, and every single one of those fuckers has been stomping on any and every initiative with a warchest of money to make sure it doesn't happen. Looking back after all these years, "invest in people not in products" seems like nothing more than glorified lip service. I want to agree with the article but I have no skin in the game. The only VC tier stuff I was involved it was F&F angel investing and it has worked out quite well, but the scale of money and time needed for "hard sciences" is beyond my level of expertise, and, I imagine, beyond the expertise of most VCs out there. In short, I suspect most VCs do not know what they are doing when it comes to investing, given the paltry ROIs for most of them. So the article is really restating that in a different sort of way.
dnautics 6y ago
It's 1. But also, who can blame them. I've seen really stupid companies come out of biotech incubators, including one that was peddling a genetically modified probiotic whose concoction as designed is known to be ineffective pharmacologically (and an equivalent reformulation strategy is not known in their host species), and a company that demoed reconstituted mock vegan meringues that had residual trifluoroacetic acid in their demo day samples. Vcs just don't know how to judge this shit, and it's much harder to pattern match details that require subtle knowledge than "Uber for X"
- Metacelsus 6y ago
  >a company that demoed reconstituted mock vegan meringues that had residual trifluoroacetic acid in their demo day samples Yikes! I've had some protein preps go wrong, but never this wrong!
  - dnautics 6y ago
    if you've ever done an hplc with triflouracetic acid, I promise you there's residual tfa in there, even after a round of lyophilization. Though typically I'm not putting HPLC preps in my mouth. The burney/tingley sensation on my tongue was unmistakable and very reminiscent of the residual feel you get after pipetting 100% TFA in the hood. I strongly believe that this startup did not know that about TFA, but it's basic common knowledge if you're in a reputable protein biochemistry lab (and you're paying attention). When you're moving fast to show something for demo day, you're going to use whatever you have around to do your protein preps, because TFA is standard practice. Anyways, if any VCs want a Burton Guster to super sniff questionable biotechs, I'd be happy to do a bit of consulting on the side.
    - qchris 6y ago
      If anyone asks you to do this, please make renting a Blueberry a condition of your participation.
      - InitialLastName 6y ago
wenc 6y ago
Biotech startups are also subject to the fickle nature of living organisms. When I was in grad school I knew a bunch of grad students who worked on biotech/bioengineering experiments. They would have to take care of their experiments like they were pets, nurturing them and making sure they were well taken care of, because if they died on you, that's months of effort down the drain. Vacations had to be carefully planned, and people had to be delegated to keep those little critters alive. Whereas folks running experiments with non-living things could actually work 9-6 and take vacations. Computational folks could run their experiments while sitting on a beach in Hawaii (with an LTE signal of course). Bio is just a different beast. The worse thing is? Many of these biotech graduates actually struggle to find well-paying jobs after, despite how hot the field seemingly is.
- distant_hat 6y ago
  The problem with finding jobs is that the work is far less translatable to other fields unless you take care to make things general which is not really encouraged in academia. As a Physics, Math, or computational PhD you can apply your skills to any domain with a few weeks of learning. You can't really apply PhD level mice work or yeast work to another domain that quickly.
  - rdtwo 6y ago
    And the pay is shit a PhD level biologist in a major Corp with you years experience will get paid as much or less than a recent grad at FAANG company
- rubidium 6y ago
  The field is hot but talent is still over saturated - so it’s supply and demand. In no other field do I see masters/ PhD from great universities doing such menial work.
vervez 6y ago
SBIR funding is critical for hard science ventures early on. It's also a good indicator to future investors of potential hard science projects that a panel of experts in the area has reviewed and approved government funding for the idea, and the team is at least decently competent to meet the milestones of the SBIR. This helped Ginkgo Bioworks before they received more than half a billion in private investment.
- 1DRACOSEA8 6y ago
  Or another avenue to abuse just to prove a point. That you could. Make ‘me pray and sweat, in fear for what you would do next.
- mNovak 6y ago
  There's decently large amounts of money to be had with SBIRs, but they are a moving target--you end up stitching together many different smaller projects to slowly ping pong your way to the end goal. Of course they're also very slow to apply, decide, reapply, etc
  - neltnerb 6y ago
    And consume massive amounts of a small startup team's highest skill expertise for weeks to have any chance of getting. And have a known death valley and cash flow issue unless you have other investment already. But they're a nice to have for sure. Just not enough to keep moving for long enough to get most hard tech startups funded.
    - vervez 6y ago
      I'd be interested in seeing citations for the known death valley. This is the second time I've heard this anecdote but have never seen the evidence.
      - neltnerb 6y ago
        Oh, no one would probably bother to cite it because it's right there in the request for proposals in black and white and they explicitly talk about it repeatedly at the SBIR conferences. You finish your phase 1 in 9 months to a year depending. Then you apply for phase 2 which takes 3-6 months to review and fund. That's the death valley I mean, the lag between finishing phase 1 and starting phase 2. If you don't have non-grant funding by then, you're self-funding the company for six months of being strung along waiting for them to make a decision. It sucks, especially when VCs have no interest in funding projects that are as hard to understand as my stuff (catalysts and chemicals and machine learning) when they can just fund Uber for cats or whatever. I'm too tired to keep trying for it, but at least people are finally starting to recognize that chemical manufacturing infrastructure is pretty critical and that we don't understand much of it at all and that if we want to use bio-sourced chemicals we need to really understand this at a global systems level an awful lot better. But we won't, we'll just try to bolt on bio stuff to horrible legacy systems and make a marginal improvement instead of a generational breakthrough. But if anyone reading this happens to actually be working on this give me a ring... it's my passion in life to fix this because I see it as reducing energy consumption and also improving agriculture through improved ammonia production processes. I am just unable to work on it because of life. And I really don't want to start another company at this point.
austinl 6y ago
Another reason we see duplicate startups within a few domains is that there are many VCs, and each wants to have a horse in the race. Perhaps they missed on one fintech company, and now it's grown enough to make the market. So they lead an investment in a competitor, or a company in a similar space. This significantly de-risks the investment vs. allocating money towards something entirely new.
sorethescore 6y ago
This is so true. A mentor of mine has been developing a new cancer therapy with a physicist for over a decade. He's spent millions of dollars and all he has to show for it at this point is a machine for rats that can kill cancer better than the standard of care, for rats. He's building a machine for humans now but by the time he's done he'll have probably invested close to $10M all by himself just to have a single proof of concept that he can take to market. That's an insane amount of investment until as you said, you even get to the point where you can get real feedback on the business model. Ultimately though he understood the fundamental physics and knew that it would work just as well as anyone could.
- unishark 6y ago
  There's also reproducibility issues in biotech research. Investors are reluctant to believe anything works anymore until they see successful human trials.
  - rdtwo 6y ago
    And human trials cost billions
sjg007 6y ago
There are biotech VCs though just fewer of them and the screening process is quite rigorous. You have to get proof of concept in some academic paper first. That being said the AI drug design companies and the transformation of molecular biology with bioinformatics/NGS into more of an engineering paradigm (at least for diagnostics) will definitely change things. I'd expect medical devices to advance first and then new drug development.
didntknowya 6y ago
yea i hate when VCs think they can treat a biotech/sciences startup is like a Saas... like why can't you change a few lines of code, iterate your product multiple times a week and pivot??? because science.
contingencies 6y ago
I agree with #1 in particular. However, there are always ways around these issues. Some solutions for founders: 1. Use an evergreen fund (such as many family funds) instead of traditional 10-year fund lifetime VC. They are specifically set up to harvest these sorts of opportunities. 2. Demonstrate commitment and operational efficiency. For example spend nontrivial amounts of time and funds on the project to reach relatively advanced stages before asking for outside investment. 3. Regulatory hedging (cross-border operations, and establishing facilities near borders) is one viable strategy. Full disclosure: I run a nontrivial hardware startup seeking to define and dominate a greenfield segment and have used all three strategies in the last few years.
- Winterflow3r 6y ago
  Can you tell a bit more about your startup? I'm really interested in what people are doing in these nontrivial fields. Let me know if email is better.
neltnerb 6y ago
Yeah, I was surprised to see the article start from a clearly true starting point and then veer way off into left field talking about not having enough talent or coordination (the founder's problem) instead of the actual issue of VC expectations.
m463 6y ago
I suspect that if elon musk had not self-funded, well, nothing would have happened.
salt-licker 6y ago
There’s a lot of startups purporting to bring hard science to market but most of them are incompetent or snake oil and it’s very difficult for software engineers (or investors) to identify the diamonds in the rough with 0 domain expertise. Meanwhile many of these startups suffer from a lack of exceptional software engineering that is often necessary to solve novel cross-disciplinary problems from first principles. It would be a boon for society if it were common for great programmers interested in hard problems to take a year off from their lucrative dead-end big tech co careers and study a subject outside of CS that they’re interested in, so at least they’d be able to evaluate the feasibility and importance of technical challenges in that field and apply their skills at a point of high leverage in that domain.
- mnky9800n 6y ago
  The amount of startups I've encountered in Norway that will "solve" the problem of oil exploration with neural networks is ridiculously high. And they are all run by people with no o&g background but a brand new "data science" masters degree.

Andyfilms 6y ago

This, 100%. The author says how difficult it is for multidisciplinary teams to come together when they don't understand each others skillsets--but the same applies to the investors themselves. When you start talking about these complicated ideas, there comes a point where unless the investor is involved in the industry they're investing in, they simply won't understand the true impact of it. My company is trying to raise capital now, and that is the exact problem we're running into. There's a reason for the "janitor as a service" unoriginal ideas--because they're easy to understand, so more likely to be funded. Those kinds of investors are looking for the buzzwords, too, "as a service," "cloud," "social," "AI" that cut off ideas that aren't strictly consumer-facing and infinitely scalable. If you have a modest idea that requires a modest amount of money and targets a modest group of people, you're just not going to hear back from investors. This causes people to have to wrap their idea in buzzwords or lobotomize it into something that allows them to achieve their true goal in a sideways manner.

Igelau 6y ago
> janitor as a service Tired of trusting the flimsy log sheet on the door to know when your custodial staff last cleaned the bathroom? We present: Toiletherium. A cryptocurrency-backed suite of apps and IoT devices that turns real cleaning into real consensus. Our state of the art MopMine equation incorporates real sweat and toil recorded by SmartMops into mining the next block. Pit teams against teams with MopSync, or set individuals against each other... the freedom of choice is yours!
- ryan_j_naughton 6y ago
  Brilliant. The dystopia we find ourselves in is palpable. Your language drives home the insanity of our times because not only is this product absurd but also believable.
  - sushshshsh 6y ago
    When janitors are automated away by coronavirus, will we also need to teach the robots how to write on paper and read handwriting on paper?
  - wsinks 6y ago
    Yeah, that comment belongs on r/TIHI. Too close to home, too soon...
- b4ke 6y ago
  Was this gpt-3??? I’ll see myself out. Lol
  - Igelau 6y ago
    There's probably a good German word for the sudden doubt in one's humanity you get when you unintentionally fail a Turing Test. It's like the feeling I get when motion-activated sinks don't see me.
    - throwaway8451 6y ago
      Two suggestions: Menschlichkeitszweifel (Menschlichkeit = humaneness, Zweifel = doubt) Turingzweifel (Zweifel = doubt)
- thinkingkong 6y ago
  I present to you ‘Manna’ by Marshall Brain. http://www.marshallbrain.com/manna1.htm http://www.marshallbrain.com/manna1.htm
- james_s_tayler 6y ago
op03 6y ago
This is describing just one painful route up the mountain. There are other routes, which usually involve sucking it up, going and working at Wall St or SV for a couple years till you know the "right people" and they know/trust you. After that happens the type of conversations change drastically.
- 1DRACOSEA8 6y ago
  You’re doing it wrong. It’s about time and chemistry and knowing how to tell the story, even if it is in Yang Mills 5D
  - adenta 6y ago
    What?
    - tortasaur 6y ago
      Judging by the lack of coherency / relevance of the profile's other replies, I'm guessing it's a bot whose model someone's attempting to train on HN comments.
      - krageon 6y ago
        A model that has coherency over multiple paragraphs? I don't think that's currently possible - but if I'm wrong about that I'd love a link to a study or a library if you have one. Natural language processing is something I'm very interested in.
        ethanbond 6y ago
        ...did you miss the entire GPT3 hype wave?
        krageon 6y ago
        Evidently :) Thanks!
an_opabinia 6y ago
> there comes a point where unless the investor is involved in the industry they're investing in, they simply won't understand the true impact of it. Equity financing is a bad measuring stick for this. But really, when you're competing with, "Buy gold because it's shiny!" - that would have earned investors 26.6 percentage points liquid return YTD - can you really fault people for being skeptical of complex ideas as a class of investments?

troughway 6y ago

Considering that only a small number of VCs make any money at all (power law strikes again), it doesn't surprise me that the rest of them are some combination of reluctant and inept when it comes to investing and seeing the long term game of some of these prospective hard science initiatives. The ones that do succeed end up spending what money they made to keep the deck stacked their way and crush opposition. It's not so much that there's no barriers to entry. They exist, it's all the competitors that have VC money ready to burn to keep you out of the game. Example: EV wouldn't have really taken off without Tesla battering the living shit out of it. Now the other manufacturers are starting to play catch up after suppressing it for decades. It's not like we miraculously discovered the technology for EV drivetrains a decade ago. It's been there all along, and every single one of those fuckers has been stomping on any and every initiative with a warchest of money to make sure it doesn't happen. Looking back after all these years, "invest in people not in products" seems like nothing more than glorified lip service. I want to agree with the article but I have no skin in the game. The only VC tier stuff I was involved it was F&F angel investing and it has worked out quite well, but the scale of money and time needed for "hard sciences" is beyond my level of expertise, and, I imagine, beyond the expertise of most VCs out there. In short, I suspect most VCs do not know what they are doing when it comes to investing, given the paltry ROIs for most of them. So the article is really restating that in a different sort of way.

dnautics 6y ago

It's 1. But also, who can blame them. I've seen really stupid companies come out of biotech incubators, including one that was peddling a genetically modified probiotic whose concoction as designed is known to be ineffective pharmacologically (and an equivalent reformulation strategy is not known in their host species), and a company that demoed reconstituted mock vegan meringues that had residual trifluoroacetic acid in their demo day samples. Vcs just don't know how to judge this shit, and it's much harder to pattern match details that require subtle knowledge than "Uber for X"

Metacelsus 6y ago
>a company that demoed reconstituted mock vegan meringues that had residual trifluoroacetic acid in their demo day samples Yikes! I've had some protein preps go wrong, but never this wrong!
- dnautics 6y ago
  if you've ever done an hplc with triflouracetic acid, I promise you there's residual tfa in there, even after a round of lyophilization. Though typically I'm not putting HPLC preps in my mouth. The burney/tingley sensation on my tongue was unmistakable and very reminiscent of the residual feel you get after pipetting 100% TFA in the hood. I strongly believe that this startup did not know that about TFA, but it's basic common knowledge if you're in a reputable protein biochemistry lab (and you're paying attention). When you're moving fast to show something for demo day, you're going to use whatever you have around to do your protein preps, because TFA is standard practice. Anyways, if any VCs want a Burton Guster to super sniff questionable biotechs, I'd be happy to do a bit of consulting on the side.
  - qchris 6y ago
    If anyone asks you to do this, please make renting a Blueberry a condition of your participation.
    - InitialLastName 6y ago

wenc 6y ago

Biotech startups are also subject to the fickle nature of living organisms. When I was in grad school I knew a bunch of grad students who worked on biotech/bioengineering experiments. They would have to take care of their experiments like they were pets, nurturing them and making sure they were well taken care of, because if they died on you, that's months of effort down the drain. Vacations had to be carefully planned, and people had to be delegated to keep those little critters alive. Whereas folks running experiments with non-living things could actually work 9-6 and take vacations. Computational folks could run their experiments while sitting on a beach in Hawaii (with an LTE signal of course). Bio is just a different beast. The worse thing is? Many of these biotech graduates actually struggle to find well-paying jobs after, despite how hot the field seemingly is.

distant_hat 6y ago
The problem with finding jobs is that the work is far less translatable to other fields unless you take care to make things general which is not really encouraged in academia. As a Physics, Math, or computational PhD you can apply your skills to any domain with a few weeks of learning. You can't really apply PhD level mice work or yeast work to another domain that quickly.
- rdtwo 6y ago
  And the pay is shit a PhD level biologist in a major Corp with you years experience will get paid as much or less than a recent grad at FAANG company
rubidium 6y ago
The field is hot but talent is still over saturated - so it’s supply and demand. In no other field do I see masters/ PhD from great universities doing such menial work.

vervez 6y ago

SBIR funding is critical for hard science ventures early on. It's also a good indicator to future investors of potential hard science projects that a panel of experts in the area has reviewed and approved government funding for the idea, and the team is at least decently competent to meet the milestones of the SBIR. This helped Ginkgo Bioworks before they received more than half a billion in private investment.

1DRACOSEA8 6y ago
Or another avenue to abuse just to prove a point. That you could. Make ‘me pray and sweat, in fear for what you would do next.
mNovak 6y ago
There's decently large amounts of money to be had with SBIRs, but they are a moving target--you end up stitching together many different smaller projects to slowly ping pong your way to the end goal. Of course they're also very slow to apply, decide, reapply, etc
- neltnerb 6y ago
  And consume massive amounts of a small startup team's highest skill expertise for weeks to have any chance of getting. And have a known death valley and cash flow issue unless you have other investment already. But they're a nice to have for sure. Just not enough to keep moving for long enough to get most hard tech startups funded.
  - vervez 6y ago
    I'd be interested in seeing citations for the known death valley. This is the second time I've heard this anecdote but have never seen the evidence.
    - neltnerb 6y ago
      Oh, no one would probably bother to cite it because it's right there in the request for proposals in black and white and they explicitly talk about it repeatedly at the SBIR conferences. You finish your phase 1 in 9 months to a year depending. Then you apply for phase 2 which takes 3-6 months to review and fund. That's the death valley I mean, the lag between finishing phase 1 and starting phase 2. If you don't have non-grant funding by then, you're self-funding the company for six months of being strung along waiting for them to make a decision. It sucks, especially when VCs have no interest in funding projects that are as hard to understand as my stuff (catalysts and chemicals and machine learning) when they can just fund Uber for cats or whatever. I'm too tired to keep trying for it, but at least people are finally starting to recognize that chemical manufacturing infrastructure is pretty critical and that we don't understand much of it at all and that if we want to use bio-sourced chemicals we need to really understand this at a global systems level an awful lot better. But we won't, we'll just try to bolt on bio stuff to horrible legacy systems and make a marginal improvement instead of a generational breakthrough. But if anyone reading this happens to actually be working on this give me a ring... it's my passion in life to fix this because I see it as reducing energy consumption and also improving agriculture through improved ammonia production processes. I am just unable to work on it because of life. And I really don't want to start another company at this point.

austinl 6y ago

Another reason we see duplicate startups within a few domains is that there are many VCs, and each wants to have a horse in the race. Perhaps they missed on one fintech company, and now it's grown enough to make the market. So they lead an investment in a competitor, or a company in a similar space. This significantly de-risks the investment vs. allocating money towards something entirely new.

sorethescore 6y ago

This is so true. A mentor of mine has been developing a new cancer therapy with a physicist for over a decade. He's spent millions of dollars and all he has to show for it at this point is a machine for rats that can kill cancer better than the standard of care, for rats. He's building a machine for humans now but by the time he's done he'll have probably invested close to $10M all by himself just to have a single proof of concept that he can take to market. That's an insane amount of investment until as you said, you even get to the point where you can get real feedback on the business model. Ultimately though he understood the fundamental physics and knew that it would work just as well as anyone could.

unishark 6y ago
There's also reproducibility issues in biotech research. Investors are reluctant to believe anything works anymore until they see successful human trials.
- rdtwo 6y ago
  And human trials cost billions

sjg007 6y ago

There are biotech VCs though just fewer of them and the screening process is quite rigorous. You have to get proof of concept in some academic paper first. That being said the AI drug design companies and the transformation of molecular biology with bioinformatics/NGS into more of an engineering paradigm (at least for diagnostics) will definitely change things. I'd expect medical devices to advance first and then new drug development.

didntknowya 6y ago

yea i hate when VCs think they can treat a biotech/sciences startup is like a Saas... like why can't you change a few lines of code, iterate your product multiple times a week and pivot??? because science.

contingencies 6y ago

I agree with #1 in particular. However, there are always ways around these issues. Some solutions for founders: 1. Use an evergreen fund (such as many family funds) instead of traditional 10-year fund lifetime VC. They are specifically set up to harvest these sorts of opportunities. 2. Demonstrate commitment and operational efficiency. For example spend nontrivial amounts of time and funds on the project to reach relatively advanced stages before asking for outside investment. 3. Regulatory hedging (cross-border operations, and establishing facilities near borders) is one viable strategy. Full disclosure: I run a nontrivial hardware startup seeking to define and dominate a greenfield segment and have used all three strategies in the last few years.

Winterflow3r 6y ago
Can you tell a bit more about your startup? I'm really interested in what people are doing in these nontrivial fields. Let me know if email is better.

neltnerb 6y ago

Yeah, I was surprised to see the article start from a clearly true starting point and then veer way off into left field talking about not having enough talent or coordination (the founder's problem) instead of the actual issue of VC expectations.

m463 6y ago

I suspect that if elon musk had not self-funded, well, nothing would have happened.

salt-licker 6y ago

There’s a lot of startups purporting to bring hard science to market but most of them are incompetent or snake oil and it’s very difficult for software engineers (or investors) to identify the diamonds in the rough with 0 domain expertise. Meanwhile many of these startups suffer from a lack of exceptional software engineering that is often necessary to solve novel cross-disciplinary problems from first principles. It would be a boon for society if it were common for great programmers interested in hard problems to take a year off from their lucrative dead-end big tech co careers and study a subject outside of CS that they’re interested in, so at least they’d be able to evaluate the feasibility and importance of technical challenges in that field and apply their skills at a point of high leverage in that domain.

mnky9800n 6y ago
The amount of startups I've encountered in Norway that will "solve" the problem of oil exploration with neural networks is ridiculously high. And they are all run by people with no o&g background but a brand new "data science" masters degree.