Sep 20, 2019 · 24m · y-combinator

Jared Friedman - Advice for Hard-tech and Biotech Founders · Y Combinator

Jared Friedman · 19m spoken
0:00 / 0:00
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In this Y Combinator Startup School lecture, Partner Jared Friedman presents practical strategies for hard-tech and biotech founders to navigate technical risk, validate market demand, and execute milestone-based fundraising. He demonstrates how ambitious visions, creative MVP hacks, and Letters of Intent allow early-stage hard-tech startups to overcome capital constraints and scale successfully.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The partners hold 93% of the talking time here. How this is scored →

The partners as informed peer 1.2 Guest teaching 0.2 Guest disagreement 0.2 The partners pushing back 0.2
05100:0010:0020:000:35–5:34 · The partners as informed peer 0/10 Lecture Outline Solo lecture monologue setting up definitions of hard-tech companies and contrasting technical risk with market risk.5:34–12:17 · The partners as informed peer 0/10 YC's Hard-Tech Record and Advice Applicability Solo lecture monologue walking through seven case studies of YC portfolio companies solving the heavy MVP problem.12:17–14:40 · The partners as informed peer 0/10 Problem 2: Proving Customer Demand (Pre-Sales & Letters of Intent) Solo lecture monologue explaining pre-sales strategies and structuring Letters of Intent (LOIs).14:40–17:18 · The partners as informed peer 0/10 Strategic Fundraising for Hard-Tech (The Step-by-Step Milestone Model) Solo lecture monologue detailing the step-by-step milestone fundraising ladder for hard-tech founders.17:18–24:12 · The partners as informed peer 6/10 Audience Q&A: AI, Non-Profits, LOIs, and Team Building Interactive Q&A where audience members ask practical questions about AI, non-profits, and LOIs, and the host provides authoritative answers drawn from YC founder data.0:35–5:34 · Guest teaching 0/10 Lecture Outline Solo lecture monologue setting up definitions of hard-tech companies and contrasting technical risk with market risk.5:34–12:17 · Guest teaching 0/10 YC's Hard-Tech Record and Advice Applicability Solo lecture monologue walking through seven case studies of YC portfolio companies solving the heavy MVP problem.12:17–14:40 · Guest teaching 0/10 Problem 2: Proving Customer Demand (Pre-Sales & Letters of Intent) Solo lecture monologue explaining pre-sales strategies and structuring Letters of Intent (LOIs).14:40–17:18 · Guest teaching 0/10 Strategic Fundraising for Hard-Tech (The Step-by-Step Milestone Model) Solo lecture monologue detailing the step-by-step milestone fundraising ladder for hard-tech founders.17:18–24:12 · Guest teaching 1/10 Audience Q&A: AI, Non-Profits, LOIs, and Team Building Interactive Q&A where audience members ask practical questions about AI, non-profits, and LOIs, and the host provides authoritative answers drawn from YC founder data.0:35–5:34 · Guest disagreement 0/10 Lecture Outline Solo lecture monologue setting up definitions of hard-tech companies and contrasting technical risk with market risk.5:34–12:17 · Guest disagreement 0/10 YC's Hard-Tech Record and Advice Applicability Solo lecture monologue walking through seven case studies of YC portfolio companies solving the heavy MVP problem.12:17–14:40 · Guest disagreement 0/10 Problem 2: Proving Customer Demand (Pre-Sales & Letters of Intent) Solo lecture monologue explaining pre-sales strategies and structuring Letters of Intent (LOIs).14:40–17:18 · Guest disagreement 0/10 Strategic Fundraising for Hard-Tech (The Step-by-Step Milestone Model) Solo lecture monologue detailing the step-by-step milestone fundraising ladder for hard-tech founders.17:18–24:12 · Guest disagreement 1/10 Audience Q&A: AI, Non-Profits, LOIs, and Team Building Interactive Q&A where audience members ask practical questions about AI, non-profits, and LOIs, and the host provides authoritative answers drawn from YC founder data.0:35–5:34 · The partners pushing back 0/10 Lecture Outline Solo lecture monologue setting up definitions of hard-tech companies and contrasting technical risk with market risk.5:34–12:17 · The partners pushing back 0/10 YC's Hard-Tech Record and Advice Applicability Solo lecture monologue walking through seven case studies of YC portfolio companies solving the heavy MVP problem.12:17–14:40 · The partners pushing back 0/10 Problem 2: Proving Customer Demand (Pre-Sales & Letters of Intent) Solo lecture monologue explaining pre-sales strategies and structuring Letters of Intent (LOIs).14:40–17:18 · The partners pushing back 0/10 Strategic Fundraising for Hard-Tech (The Step-by-Step Milestone Model) Solo lecture monologue detailing the step-by-step milestone fundraising ladder for hard-tech founders.17:18–24:12 · The partners pushing back 1/10 Audience Q&A: AI, Non-Profits, LOIs, and Team Building Interactive Q&A where audience members ask practical questions about AI, non-profits, and LOIs, and the host provides authoritative answers drawn from YC founder data.

speaking balance: gold is the partners, purple is the guest (3 minute bins)

0:00 · the partners 100% · guest 0%0:00 · the partners 100% · guest 0%3:00 · the partners 100% · guest 0%3:00 · the partners 100% · guest 0%6:00 · the partners 100% · guest 0%6:00 · the partners 100% · guest 0%9:00 · the partners 100% · guest 0%9:00 · the partners 100% · guest 0%12:00 · the partners 100% · guest 0%12:00 · the partners 100% · guest 0%15:00 · the partners 95.6% · guest 4.4%15:00 · the partners 95.6% · guest 4.4%18:00 · the partners 72.5% · guest 27.5%18:00 · the partners 72.5% · guest 27.5%21:00 · the partners 73.4% · guest 26.6%21:00 · the partners 73.4% · guest 26.6%24:00 · the partners 98.3% · guest 1.7%24:00 · the partners 98.3% · guest 1.7%
Sharpest disagreement ▶ 18:55 Questioning the feasibility of LOIs

An audience member presses on the practical paradox of asking companies to sign non-binding contracts for unbuilt products.

Hardest push from the partners ▶ 19:25 Reframing difficulty as market validation

Jared reframes the premise that difficult LOIs are problematic, explaining that their friction is precisely what makes them valuable proof.

Biggest teaching moment ▶ 17:27 Audience member notes omission of AI

An audience member points out that none of the seven presentation examples covered AI, prompting Jared to concede the oversight.

The partners hold their own ▶ 22:14 Navigating enterprise stakeholders with LOIs

Jared illustrates deep domain expertise by explaining how the LOI process surfaces organizational decision-makers and dry-runs enterprise sales.

the scores for every segment, with the reasoning behind each
ChapterTopicThe partners as informed peerGuest teachingGuest disagreementThe partners pushing backWhy
Lecture Outline 0000 Solo lecture monologue setting up definitions of hard-tech companies and contrasting technical risk with market risk.
YC's Hard-Tech Record and Advice Applicability 0000 Solo lecture monologue walking through seven case studies of YC portfolio companies solving the heavy MVP problem.
Problem 2: Proving Customer Demand (Pre-Sales & Letters of Intent) 0000 Solo lecture monologue explaining pre-sales strategies and structuring Letters of Intent (LOIs).
Strategic Fundraising for Hard-Tech (The Step-by-Step Milestone Model) 0000 Solo lecture monologue detailing the step-by-step milestone fundraising ladder for hard-tech founders.
Audience Q&A: AI, Non-Profits, LOIs, and Team Building 6111 Interactive Q&A where audience members ask practical questions about AI, non-profits, and LOIs, and the host provides authoritative answers drawn from YC founder data.

Statements from this episode (13)

Assertion Not publicly verifiable
Over 1,000 YC Startup School companies are in hard tech or biotech
“Across all of startup school, there are actually over a thousand companies that are doing hard tech or biotech things”
Jared Friedman Sep 20, 2019 ▶ 0:16
Insight
Friedman: Hard-tech companies face high capital needs and feasibility uncertainty
“So the way I see it is a hard tech company is a company that fulfills two criteria. One, it will take a lot of time and money to build your first product. And two, even if you had lots of time and money, it's not clear if it would be possible to build it at al…”
Jared Friedman Sep 20, 2019 ▶ 1:02
Insight
Friedman: Software startups face market risk; hard tech faces technical feasibility risk
“So if your company is building a normal website or a mobile app, you probably have mostly market risk, which is to say you have a new idea. It's not totally clear if people are going to want this thing that you're making, but you probably don't have much techn…”
Jared Friedman Sep 20, 2019 ▶ 1:41
Insight
Hard-tech startups find recruiting and fundraising easier than standard software startups
“While launching the product is easy, turning the product into a really big company is actually really hard. Whereas with Boom, it's exactly the opposite. Building a supersonic jet is, like, incredibly hard, but everything else around it is really easy.”
Jared Friedman Sep 20, 2019 ▶ 4:05
Assertion Contradicted
YC is the world's largest bio and hard-tech seed investor
“YC is actually the largest bio seed investor in the world and the largest hard tech seed investor in the world. This includes accelerators, seed funds, every kind of investor.”
Jared Friedman Sep 20, 2019 ▶ 5:51
Assertion Not checkable as stated
Hard-tech YC applicants have a 10x higher acceptance rate than others
“Hard tech companies that apply to YC actually have about a 10 x higher acceptance rate than other kinds of applications.”
Jared Friedman Sep 20, 2019 ▶ 6:02
Assertion Supported
Astranis built its first test telecommunications satellite for under $50,000
“It turns out actually that the cheapest telecommunication satellite that is useful costs like at least ten million dollars to build and launch. And so Astronus' hack was to start with a test satellite. The satellite in this photo was their first satellite. The…”
Jared Friedman Sep 20, 2019 ▶ 10:54
Insight
Friedman: Hard-tech startups can raise capital by preselling before building
“So basically they sold it before they made it, and this is a very generalizable technique that a lot of hard tech companies use in one form or another.”
Jared Friedman Sep 20, 2019 ▶ 12:10
Assertion Supported
Jetpack Aviation pre-sold flying motorcycles online to prove customer demand
“A good example of this is a company called Jetpack Aviation from two batches ago, which is building the flying motorcycle in the picture. And what Jetpack Aviation did was they ran a pre-sale campaign, and they basically sold flying motorcycles to a bunch of p…”
Jared Friedman Sep 20, 2019 ▶ 12:55
Assertion Supported
It is illegal to conduct pre-sales for FDA-regulated medical products
“For example, if you're doing something medical that requires FDA approval, it's actually illegal to do pre-sales, so don't do that.”
Jared Friedman Sep 20, 2019 ▶ 13:14
Insight
Non-binding LOIs effectively filter casual interest from serious customer demand
“Because it's not binding, it doesn't actually commit the customer to buying, but because it looks like a contract, customers take it really seriously. It's easy when you're talking to a customer for them to, like, be polite and casually say, like, sure, I'd bu…”
Jared Friedman Sep 20, 2019 ▶ 13:50
Insight
Friedman: Top hard-tech founders minimize step sizes between funding rounds
“Really good hard tech founders are maniacal about, like, pushing down the size of each of those steps so that each step is as small as possible, which makes it as easy as possible for them to achieve the milestones that they need to raise the next round of fun…”
Jared Friedman Sep 20, 2019 ▶ 16:56
Assertion Supported
Kyle Vogt built the original Cruise self-driving MVP in three months
“The original Cruise car Was built in less than three months during YC. Kyle basically just, like, was in a garage building this car and writing code for, like, three months solid, and by the end of YC he had an MVP that he could use to drive on the highway to …”
Jared Friedman Sep 20, 2019 ▶ 17:59
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