Next Generation Biotech

This is a recap of our fireside chat with Dr. Mostafa Ronaghi, SVP of Entrepreneurial Development at Illumina and founder of GRAIL, recently acquired by Illumina for $8 Billion. Watch the full talk at pear.vc/speakers, and RSVP for the next.

Dr. Ronaghi's story
Biotech = data + human need 
Technical founders can become skilled in business
Early indicators of success in early stage and Series A
“Simple” advice for biotech entrepreneurs: commit

Dr. Ronaghi’s story 

As a young boy growing up in Iran, Mostafa Dr. Ronaghi was drawn to biology. He figured he should become a doctor — after all, what other career options were there for someone interested in the future of genetics? But, after shadowing his uncle at a local hospital, Dr. Ronaghi discovered that medicine was not for him. Instead, he would follow his passions into the emerging field of biotechnology. 

In many ways, Dr. Ronaghi was ahead of the curve. Today, opportunities are increasing within the biotech space, as technological advances continue to drive innovations forward. Decades later, the journey has taken him to roles as a researcher, serial entrepreneur, company executive, and inventor. 

Since 2008, Dr. Ronaghi has served as the Senior Vice President and Chief Technology Officer at Illumina, a leading developer of life science tools. He is also a serial entrepreneur, having founded several notable biotech companies including Grail, Avantome, and Pyrosequencing AB. In all, he holds more than 30 patents. 

Dr. Ronaghi earned his Ph.D. from the Royal Institute of Technology in Sweden. It was during this time that he began researching pyrosequencing methods — the groundbreaking DNA sequencing method that he would become known for. 

“I started my PhD program on microbial sequencing. And after one and half years, I came up with the idea of pyrosequencing, which was a novel way of doing sequencing,” he explained. 

He was later offered a role as a principal investigator at the Stanford University Genome Technology Center, and was encouraged to apply for national grants to increase funding. Because he was not a U.S. citizen at the time, Dr. Ronaghi began searching for American co-applicants to collaborate with. In 1998, the search led him to the founders of Illumina. 

Biotech companies are driven by both data and human need 

In biotech, metrics matter. 

Dr. Ronaghi’s technological advancements in gene sequencing have allowed for faster processing and increased accuracy. 

This change has been reflected in the markets as well. His work managed to reduce the cost of genome sequencing by nine orders of magnitude. Only one other industry — the semiconductor industry — has been able to accomplish this. 

“Back in 1990, the cost of sequencing the human genome was more than $3 billion. And we reduced that cost to basically $1,000 within 22 years,” he said. “The genome sequencing is about $500 per genome now, in larger scales. And it’s going to go to $200 in the next few years.”

“This has kind of revolutionized healthcare, the impact is going to be enormous,” he added. 

While much of the daily work responsible for a scientific breakthrough centers around minute details and microscopic particles, it’s important not to lose sight of the emotional, human elements.

When Dr, Ronaghi first started working on the science behind Grail, a healthcare company whose mission is to detect cancer early, the company’s business model was not fully determined yet. But Dr. Ronaghi and his team felt that it was unethical not to bring it to market, considering its potential to save lives. 

Today, Dr. Ronaghi says the technology has improved the survival rate of cancer patients by 20%. 

Technical founders can become skilled in business 

Scientists and researchers shouldn’t be discouraged by the business component of biotech entrepreneurship. Dr. Ronaghi cites his own career as evidence that technical founders can learn. He encourages technical founders to try their hand at business, even if they are used to a lab. 

“I feel that it is much easier to develop the technical founder to understand business than the business founder to understand the technology,” he said. “Especially if you are in a high biotech kind of a space. You really need to understand the technology and the market in depth.”

Illumina’s recent 2020 acquisition of Grail was a test of his new business mindset.

Grail was on track to go public, when Dr. Ronaghi and his team switched course and entered an $8 billion acquisition agreement with Illumina. 

There were a few key elements Dr. Ronaghi considered when evaluating the deal. 

First, they had to calculate the basic financials — when would the acquisition be profitable? 

After justifying the suggested price, they moved on to the less tangible components of the deal — what could Illumina bring to the table?

Dr. Ronaghi realized that Illumina could help Grail scale and further expand the product into global channels. From a business perspective, the deal made perfect sense. 

Early indicators for biotech success in early stage and Series A

As a co-founder of Illumina Accelerator, the world’s first business accelerator focused solely on creating an innovation ecosystem for the genomics industry, Dr. Ronaghi is familiar with a company’s earliest stage. He believes the best indicator of success for an early stage company is the quality of the founding team. 

“When you’re picking a company at the earliest stage, like the accelerator stage, the number one important factor is the team. There is no question,” he said. 

If the team is dedicated, smart, and has the skills to create the proposed technology, then it doesn’t fully matter if the business plan is fine tuned or not. 

For Series A biotech, Dr. Ronaghi has separate rules for different categories:

  • For therapeutics, teams should have a lead compound identified or have pushed a product through clinical trials.
  • For diagnostics, founders should be able to demonstrate that their tests work well and will have an impact on the subject.
  • In the software space, there should be recognizable initial customer traction. 

“Simple” advice for entrepreneurs: commit fully to your idea

Dr. Ronaghi’s advice for entrepreneurs interested in the complex biotech and life science space is relatively simple: commit fully to your business idea, and include others who will as well. 

“I see that a lot of people that are in larger companies, and they want to start a company half time. That’s not going to work. You have to leave your academic job or company job and focus one hundred percent on basically creating something,” he said. 

While this advice could apply to entrepreneurs in most industries, it is especially true for a field that centers around science and technological breakthroughs. Dr. Ronaghi believed that most biotech business plans had a window of opportunity that could easily be missed if the would-be entrepreneur did not quickly execute their plan. 

“If you’re not dedicated yourself, you cannot convince other people to join you,” he added. 

Convincing other talented individuals to join the company is key to the success of any business, Dr. Ronaghi explained. In order to accomplish this, founders should be transparent and keep their team in the loop. They also should be generous — and be prepared to give out enough equity in order to retain a great team. 

Once the team and technology is in place, founders should focus on ensuring customer satisfaction and product market fit before expanding into other opportunities, he concluded.

“I understand your technology has a lot of potential. I don’t want to see it now. I want you to focus on this market and show me that you can actually deliver a fantastic customer experience.”

The future of genomics

What’s next in the world of biotech? 

If Dr. Ronaghi were to make a new company now, it would be related to either of the following topics: 1) the relationship between one’s diet, microbiome, and overall health or 2) single cell biology.

“The reason that I’m picking up food is because that’s the number one environmental factor that the human body is exposed to…  There are a lot of leading scientists these days that believe that 90% of diseases originate from the gut,” he said. 

He views single cell biology as an area that has the potential to unlock other biotech innovations down the line. 

“We have to look at biology at the cellular level or subcellular level. So single cell biology is actually very intriguing. I really think that that’s going to actually open up new frontiers in the way we are looking at medicine.”

How to Get Started

You can read as many articles and books as you want about value propositions, product-market fit, business model design, blue oceans, and everything under the sun about startups, but at some point, you just need to get started.

That’s something that can only be learned by experience. As the saying goes, “A journey of a thousand miles begins with a single step.” Here are the very very first steps that some of our Accelerator ’20 founders took after coming up with their ideas.

***

We presented for Lean Launchpad and horribly failed because we didn’t understand the market. We did our work, and the initial judges of Lean Launchpad later became our first investors.

—William Steenbergen, Founder / CTO of Federato

***

We interviewed over 100 families to deeply understand their journey from when they decided they wanted to start a family, to pregnancy, and beyond.

We then dove deep into studies and literature to identify the drivers of poor outcomes and understand what interventions could be leveraged to address them.

Through this research and input from our mentors at Harvard, we identified the group model of care as a powerful tool for impacting health outcomes.

We then set up our first beta cohort in early 2020 with 3 expecting women and a provider. They met bi-weekly and messaged over a group chat we created for them.

These beta customers are still with us today, over 9 months later, and continue to see June as a resource to support them through the never ending questions & challenges of being a parent!

—Sophia Richter, Founder / COO of June

***

We used Google Forms quite a bit to experiment including whether or not individuals wanted to share notes in a 1-to-1 or group context. We collected nearly 5,000 notes via Google Forms before transitioning to a more functional prototype.

—Sohale Sizar, Founder / CEO of Illume

***

I called every person I knew that worked in data science to understand if they also had the problem. I tracked each of the calls in a spreadsheet and gathered notes. I also called people that were on the OTHER side of the equation (the data owners) to understand their frustrations with the process. The idea evolved quite a bit from these conversations, but it gave me real confidence that this was a ubiquitous issue in almost every company.

—Austin Osborne, Founder / CEO of Spotlight AI

***

Immediately after having the idea to create workflow-ready video conferencing, we built an initial version for use within our professional connection platform and in our team meetings. We were delighted to find that we genuinely enjoyed using our own platform much more than all other alternatives and realized that it had a potential far beyond what we’d initially thought.

—Martin Aguinis, Kamil Ali, and Josh Payne; Founders of AccessBell

***

We started building a website and speaking with early adopters.

—Robert Monaco, Founder / CEO of Exporta Technologies

***

We went to a freight event and stood up on stage to pitch it!

—King Alandy Dy, Founder / CEO of Expedock

Lookback: A History of Pear Demo Day

Sometimes the best ideas aren’t planned at all. They grow organically. That was how Pear Accelerator and Demo Day began.

In 2014, Mar and Pejman invited some talented Stanford engineers to hack in the Pear offices. They also offered their mentorship with no strings attached. That community of hackers became the first ever Pear Garage cohort, which continued into the summer by popular demand from the community.

During the summer, Mar and Pejman thought it might be helpful for the founders to practice presenting their ideas formally, so they decided to host an event and invite their network. 

“It wasn’t like a ‘Demo Day’ or anything else. We just thought it would be great to invite some of our friends to come and provide feedback,” says Pejman. 

So, 40-50 great investors from the likes of Sequoia and Accel crammed into the Pear offices to listen to seven founders pitch. 

“We had handwritten name tags and it was definitely not a sophisticated production with all the bells and whistles, but the teams were great and did their thing,” recalls Lily Johnson from the Pear Ops team. 

Those teams got the attention of TechCrunch however, which ended up publishing an article deeming the event “Silicon Valley’s Favorite New Demo Day.”

That was that. Pear now had a ‘Demo Day’. From then on the team decided to put one on every year, leading to the development of a formal Accelerator program. Demo Day moved into the more spacious Cooley offices. 

Pear Demo Day 2016

Still, Demo Day kept growing. And the Pear team’s visions alongside it.  

“The next year we needed a bigger space, so we were looking at different venues and we really wanted something to still have that Pear touch—not as sterile, or conference feeling. Pejman suddenly said, ‘What about Filoli?’” Lily remembers.

It was a dreamy idea. The historic Filoli Gardens are pristine and meticulously manicured, with 700 volunteers who landscape the entire 600 acres of gorgeous property. 

“I went to many Demo Days—you go and it’s very transactional. I thought, ‘What if we change the scenery, so you can have the same conversations in a nicer environment?’” says Pejman. 

But it was also a bit unorthodox for something like a tech Demo Day. The team wondered if it would confuse investors, or if they would even be able to find the venue, since it was a little farther out from the usual Demo Day locations in Mountain View. 

Ultimately, they decided to go for it. 

“Pear is a special type of VC firm, so I think it resonated with the brand, and it just worked with us and who our team was,” says Lily. 

Pear Demo Day 2017

With that, the big event planning and production process began—always an intensive project.

“It’s like a wedding times two or three, because there are just so many logistics that go into an event of this scale,” says Lily. “It’s such a whirlwind. I remember literally running from location to location.”

Pear Demo Day 2017

Since that first Demo Day in the garden, the event has just kept on growing and growing.

“Last year, we kept sending invites out, and then we started moving past 300 RSVP’s, which is the capacity of the auditorium. I’m starting to get nervous, like ‘Alright. What if everyone shows up?’—which never happens at an event, but in the case that it did, how were we going to fit everyone into this room?” Lily recalls. “Then we got to 600 RSVP’s and it kept climbing. So we were thinking of creative solutions. We ended up reaching out to this rental company and getting chairs that were more narrow, and we were able to fit 500 chairs and it was just an absolute miracle. I remember showing up the day of  and meeting with the equipment rental manager and we were literally going with a measuring tape across the room and just squeezing the chairs together. That was a classic.”

On top of the logistics of producing the event, there’s also the important job of supporting Accelerator founders to be on top of their game for the big day, with hours spent polishing slide decks and rehearsing pitches. 

Pear Demo Day 2017

All the hard work pays off when investors and founders gather to imagine the future together for a few hours. Plus, migrating to the massive lawn terrace from the conference room is always a showstopper.

“The garden, my God, the garden—everybody loves the garden!” Pejman laughs.

Indeed, with the beautiful garden environment, live band, hors d’oeuvres, minibar, and product demo booths, Pear Demo Day has become a righteous, glittering party over the years, far more than a mere networking event. 

“We try to keep it interactive and promote relationship building in a fun Pear-ish way,” says Lily. “The style of Demo Day is a nod to how Pejman has approached everything, where he was thinking, ‘I really want the networking afterparty to feel like an opportunity for people to chat and hang out. I want people to get to know each other, but still have a good time in the process.’”

Pear Demo Day 2018

At the end of the day, in spite of all the glitter, Demo Day is really about something quite simple — getting to celebrate the hard work of Accelerator founders.

“As corny as this sounds, it is always one of my favorite moments: where you just high-five each other and you’re like, ‘Damn, we did it—YES!’” says Lily.

While we won’t be gathering in the gardens this year, that is the spirit of Pear Demo Day that will never change.

How Biotech Company Xilis Successfully Fundraised and Commercialized Their Technology

This case study is about Pear portfolio company, Xilis, founded by David Hsu and Xiling Shen.

Using academic research to help patients
Go commercial, or continue academically?
Pitching a technical product to investors
What’s ahead for Xilis

Using academic research to help patients and make a real impact

Xiling Shen still remembers the moment he bumped into David Hsu in the hallway at Duke University during his first job interview. The two chatted only briefly, but David made an impression. Later, David formally interviewed Xiling for his second interview, and the two discovered that they shared many research interests. 

“I just remember…sometimes, you just feel like it’s love at first sight,” Xiling jokes. 

“As an academic junior faculty, you’re focused on publishing papers. But when I was talking to David, he asked ‘How do you think about how to help patients?’ and that suddenly opened a door—that’s where you really make an impact. 10 or 20 years down the road, do you really want to be remembered for how you published this many papers that probably no one reads anymore?”

The conversation also convinced Xiling that he had to move down to Duke. There, he and David worked together over the next three years. They focused on the big question of how to use patient-derived models of cancer as a potential diagnostic tool. 

Patient-derived models of cancer are created by growing small versions of tumors taken from tissue donated by patients.

“Patient-derived models of cancer are great for research or discovering new tools for discovering new drugs. The problem is, they’re not very useful in a clinical setting,” says David. “The main reason is that a lot of these models take too long to make, so I can never use them in real time to guide patient care. I don’t have time to grow these models to do all this testing.” 

That was where Xiling fit in, with his biomedical engineering research and expertise in organoid formation. The two developed “micro-organosphere technology,” a microfluidic-based method of growing miniature organoids. David saw that this new technology had the potential to be used as a diagnostic assay in real time to guide patient care.

“I’d been doing patient-derived models of cancer for a decade, and until we started making these droplet organoids, I never felt that there was going to be a patient-derived model of cancer that I could potentially use clinically as a diagnostic tool,” says David. “I’ve worked with cell lines, regular organoids, patient-derived xenographs. Because of the limitations, they were never going to be able to be used from a clinical perspective, and there’s plenty of companies who have tried and it’s been very difficult. 

Go commercial, or continue academically? How to evaluate and make the decision

With the discovery, David and Xiling faced two options: continue researching academically, or try to create a company around their new technology. The two ultimately decided that they could develop the technology faster by commercializing. 

“When you work in an academic lab, sometimes there isn’t that urgency. When we’re running the lab, we have 20 other projects to do—so, sometimes we lose our focus because we go on other tangents, depending on what piques our interest,” says Xiling. “From a company standpoint, you have to meet deadlines, you have timelines.” 

Understanding which path is right to pursue requires understanding the differences in the two “worlds”. Academia is a publication-focused model of research, thus novelty is more important, and it’s okay if the research works, say, 70-90% of the time, as long as it produces groundbreaking knowledge. 

For research that is intended to be commercialized, the technology obviously needs to work 100% of the time and meet market needs. There is heavy emphasis on quality control and product development, which often cannot be done in academia. Moreover, these are not the typical kinds of projects that graduate students pursuing publication will want to work on anyway. 

Xiling often warns junior students and postdocs eager to pursue entrepreneurship not to go out to investors prematurely, when a technology is not ready for commercialization. As with starting any company, the fundamental proof of concept needs to be complete before raising any funding. You need to collect feedback to shape and focus your technical idea and effort.

“The typical mistake is you develop a product for an imaginary customer, or you develop something where there’s no path into the clinic because of the regulatory or reimbursement reasons,” says Xiling.

Students can also be tempted to start a company around a solution they’ve discovered that is only an incremental improvement.

“People think, ‘Hey I can do this 30% better.’ But, you’re not going to replace the existing product for doing 30% better,” Xiling says. 

It is also important to realize that technology development is only a small part of getting a company to succeed. 

“70% is about all the other things—operating, marketing, sales, BD…” says Xiling. 

Academics can also underestimate the importance of management in building a successful company. 

“You don’t become a professor because you are good at managing, but that’s very important. Managing talent and managing companies is certainly a lot different from managing an academic group,” says Xiling. 

David and Xiling have found success by hiring the right people.

“Getting the right people dedicated to tasks where they can play to their strengths—I think that’s the most important thing,” says Xiling. 

Pitching a technical product to investors

Mar and Nils asked Xiling and David if they might be interested in pitching their product at Pear Demo Day — a week and a half before the day. 

“I remember we ordered the t-shirts,” Xiling laughs. “And we came up with the name, Xilis, not because I’m ego-centric, but David was just like, ‘Oh that looks good.’ The other option was like ‘Davis’ — David’s name with my name.”

At first, David and Xiling were resistant to practicing their pitch, despite Mar and Nils offering to help.

“We had a little arrogance, because you know, we’re faculty. That’s our job, presenting thoughts to an audience, and we love it,” Xiling said.

“Nils wanted us to practice all the time, but we were like, ‘We don’t have time to do this thing,’” David laughs.

In the end, the two admit that the practice was quite helpful. 

“Even if you’ve been presenting for such a long time, you’re talking to your peers. It’s very different to talk to a lay audience and really get them to understand why this thing is important—which was so self-evident to us,” says Xiling. 

The practice also showed in the results. Prior to Demo Day, Mar had already introduced Xiling to a few VC’s, but the conversations had not gone anywhere. After the presentation, investor interest flooded in within 9 days. Xiling and David flew back out to the Bay Area on a Thursday night and returned to Duke on Monday with term sheets in hand. 

“Pear provided an opportunity to hammer out 80% of the questions we got from investors,” says Xiling. “No matter how much you prepare or think about something, nothing can replace getting real-time feedback.”

Through practicing with Mar and Nils, and then through the real live experience of meeting with different investors. David and Xiling were able to continuously refine their pitch and understand the common themes of what investors cared about and how to communicate effectively with them.

The first important learning: explain your product as clearly as possible with crisp messaging.

“Since we’re in the field, why the technology is important is very self-evident to us. We wouldn’t normally spend so much time explaining that in academic presentations,” says Xiling. “But to the lay audience, you have to be mindful of any jargon coming out of your mouth, and you have to make it clear.”

The second important learning: have an explicit explanation of your go-to-market strategy.

Academic founders have often thought very deeply about their technology, but haven’t spent as much time thinking about their exact customers and how they will go about gathering them.

“For us, we were thinking, ‘This is helping patients,’ and that’s what we had always thought about. But for investors, they’re asking, what is your plan? What’s the first product? What’s a second product? Who do you have as customers? What’s the timeline? It has to be very spelled out, the exact steps and how much investment you need,” says Xiling. “We were not even thinking about a lot of those questions. But thinking back, those answers could definitely have been better thought out or better spelled out, more deliberate.” 

Xiling also recommends really thinking through what kind of company you are building. 

“I think in general, there are two types. One is the transformative, paradigm shifting type—high risk, higher reward. The second is more incremental, but you have a faster go-to market and could potentially be profitable as a private company,” says Xiling.

“For VC, especially Silicon Valley VC’s, they want the first type of the company—they’re going out to make 100x returns. So, kinda understanding what the investor is looking for and going after the right type of investors is important.”

Finally, it’s absolutely critical to have the right team. 

“At the end of the day, it’s about the execution. Do you have a good balance of leading technical people, but also experienced business people? You want to have a team that has the right business experience in the intended market, so that investors feel the investment is more de-risked. I think that’s probably the biggest challenge for most academic teams. It’s often the piece that would increase their attractiveness significantly.” 

What’s ahead for Xilis

Xilis is currently focusing on conducting clinical trials and in talks with big pharmaceutical companies, as well as getting on the path to becoming CRIA certified. 

And like any startup, team building is an ongoing process.

“We are kind of a unique company in terms of being very interdisciplinary. Engineering, biology, clinical, and of course then adding business people, software, hardware… so we’re really focused on building a team that has complementary skills. Right now, the next hiring priority is continuing to hire the right business expertise.”

What It Takes To Go from 0 to 1: From 0.5 to 1 (Part IV)

This post is Part 4 of our four-part series on What It Takes To Go from 0 to 1.

Let’s assume you’re a SaaS company that’s now raised some seed money. You’ve raised from us and you have two customers, and the founder has done all the sales. 

Now your task is to prove two things:

  1. someone who is not you can sell your product
  2. you can optimize and scale that process 

This usually involves building a sales team or setting up a reliable marketing channel. The test for this stage is whether you have a reliable formula for your growth. That is, you should be able to confidently say, “if I do X, I will get Y new customers / users / revenue.”

Pure growth is not enough. You can be growing super fast, but if you have no retention, we know that growth will die. Again, you may be tempted to buy a bunch of ads right before your raise to spike your growth for two months, but smart investors know that that’s not real growth. 

You may be surprised to learn that pure revenue is also not enough. We have found that post-money valuation of series A companies and their monthly recurring revenue is not correlated at all:

If product love is the one thing that matters most to us at 0.5 stage, what is it for the 1 stage? That you’re going to be a “big company.” We are looking for predictors of success. You can think about it as the “second derivative” of your growth. 

In this stage, we want to make sure that people not only love your product, but that they love it enough to pay you enough money to make it profitable to grow. 

Even if you’re at only 200K in MRR, if we can see that you’ve gone from one person using your product to 20 people using your product, and those people are using you every day and they can’t live without you, you’re probably a great company, like Slack! They didn’t need to have 1 million in ARR for investors to know that people loved that product and that it was going to stick around.

Series A investors are going to look at your scale metrics, like LTV (lifetime value) to CAC (cost of customer acquisition).

To get to Series A from the seed stage (or from 0.5 to 1), the most important thing you need to do, as a seed founder, is to make a plan and measure your progress. Determine where you want to be in four quarters, then walk backwards and figure out what you need to achieve that. 

Look at everything you need to do. 

For example, if you want to be at $1 million ARR, with some amount of cash for six months at the end of Q4, you might determine that you need to hit $100K in revenue by Q2. You probably are also going to need enough leads by Q2. If this is a SaaS business, you may want to hire a salesperson for that. And if you have all these customers, you’ll likely want to support them and keep them happy, so you might have to hire a customer success person in Q3. To have something to sell in the first place to get to that Q2 revenue, you might need to have an MVP by the end of Q1 that requires hiring a certain amount of engineers.

You’ll need to do all this math to find out what that plan all costs and how much cash you need to have for it. It is likely you’ll need to iterate on this plan, which is why you also need to measure everything as you proceed. What gets measured gets done, and the bonus is that it’s easier to measure things at the seed stage! We love data driven CEO’s, and we even encourage founders to display their key metrics to everybody in their company. When you go out to raise our series A, you can just take your dashboard to the investors!

Once you have a plan, and you have your measurements, you’ll need to put those two together to figure out whether you’re on track or not. This sounds very simple, but we’ve had many founders suddenly call us with three months of cash left out of the blue. Force yourself to send reports to yourself, to your team and to your investors. When you do that, you’re actually committing to something, and that makes you true to the plan. 

Here at Pear, we make every one of our seed companies run through a planning exercise at the very beginning of our partnership with them, and we review the plan every quarter. When our founders are in trouble, we review it every week, so we can figure out what our goals are and what we need to hit. 

Final Stretch: Don’t Mess Up the Actual Fundraising

Fundraising is a little like selling a house. If you’re trying to sell a house, but you don’t have your inspections complete and you haven’t cleaned up the lawn, you’re probably going to get a lower final price than if you’d done all your work—even if you’ve got a great house!

Put another way: no matter how great your numbers look, you still need to have a great pitch. You have to actually communicate with data. You have to have a rational ask.

Remember, there are much fewer Series A funds out there than angels and seed funds, so the stakes are higher with each meeting, and it’s much slower and more complex. You can’t hand wave. You need to have concrete, quantitative answers, and investors are going to take several weeks to get back to you. It could take longer. The good ones do it fast, but it’s not 30 minutes. 

Also, think through your process. Don’t contact 20 series A investors at once with your initial pitch. Stagger your pitches so you can iterate and revise between each, and save your top choice investors for last, after you’ve gotten feedback from the others.

This brings us to our final piece of advice for this process: diligence who you work with! We’ve seen founders get desperate and take money from investors they shouldn’t. We’ve done that personally on our own entrepreneurial journeys. It’s absolutely painful. You have to know who you’re fundraising from.

If you’re considering us as partners on this long journey, we hope you’ll take the time to get to know us, just as much as we promise to take the time to get to know you. 

What It Takes To Go from 0 to 1: From 0 to 0.5 (Part III)

This post is Part 3 of our four-part series on What It Takes To Go from 0 to 1.

To review: at 0, you have a big idea. At 0.5, you have a product that you, as the founder, can sell, and you’re seeking seed stage financing. 

What we’re looking for here is product love. For us, all that matters is — do people absolutely love this product? Is there a group of people out there who can’t live without this product? 

Your product needs to be at least 10x better than anything out there, and ideally, you can show us that this group is willing to pay for it. To us, it doesn’t matter at this point exactly how much they’re willing to pay, and to some extent, even if they’re not willing, it could still be okay. We really want to see the love most of all.

Now, we do use some metrics and signals to try to determine that level of “love,” and it actually has nothing to do with how much revenue you have, nor acquisition.

Qualitatively, a good rule of thumb is that when a company is at 0.5 stage, they are no longer changing their website (or sales Powerpoint, or app) to acquire and retain a new customer. They’ve found a value proposition that works. 

For a SaaS company, we generally want to see some very happy customers. 

For a consumer company, it’s all about retention. 

If you’re building an app, for example, you might be tempted to put your app out there and get as many downloads as possible. Maybe you’ll think about buying ads to juice those download numbers. To us, none of it matters unless you’re retaining the user. From our perspective, buying ads to inflate your downloads is just throwing money down the drain. 

The top 10 apps, all of which are huge companies, retain their users at 60% after a year. The crappy ones retain under 10%. It goes to show that the hard part of a consumer app is to keep somebody using it for a long time. If you can do it, it’s a good sign that you’ve got that product love we’re looking for.

Another important signal we look at for consumer businesses is your retention of super fans—people who are dying for your product. A good example of this was Pinterest. Early on, Pinterest users were on the site all the time and they were obsessed. 

So, we’re not just looking at retention of the average user, but also retention of those super fans. We want to see how much those super fans love you.

To navigate this stage, you’ll need a rapid experimentation mentality, cycling through as many new hypotheses as possible to land on the right value proposition. Make your operations scrappy and fast. Build and kill features, get to the simplest MVP possible.

To sum: be fast and listen to the data. Do not fall for fake signals. Remember the only real thing that matters is: do people (truly) love your product?

What It Takes To Go from 0 to 1: Step 0 (Part II)

This post is Part 2 of our four part series on What It Takes To Go from 0 to 1.

Let’s say you’re at 0 and you’re thinking about starting a company. You’ve got an idea. 

The first thing you need to do—if you’re committed to going down the path of venture financing—is to figure out if you are in a big enough market for venture financing. 

If you’re not in a big enough market, and you go down the venture path, the money will unfortunately end up hurting you. Your company won’t scale with the capital, even though you might have built a great company if you hadn’t fundraised. 

There are a few ways to go about determining if you’re in a big enough market. One is a bottoms up analysis. But, as you may have heard, if you’re creating a new market, like Airbnb and Uber, you really won’t know how big the market is. These companies are typically the ones that turn out to be “unicorns.”

From what we have seen, the one thing that such companies all have in common is that the founder has great ambition. They don’t just want to make a quick exit or a lot of money. They want to fundamentally change something that they think is broken, or they just really want to make it big. 

There’s a fire in them, and it shows in their presentation. To be honest, there is a little, “We know it when we see it,” but we’ll try our best to describe what it looks like here.

The Difference Between a Good and Great Founder

So, let’s assume a company comes to us, and they’re pre-seed. Maybe they don’t have a product yet, and they want to sell lead gen software for real estate brokers. 

A bottoms up analysis would sound like this: “We’re going to be able to charge people $5 a month. There’s about 2 million real estate brokers in the US, so we’re going to hit 120 million in revenue in a given year if we sell to everybody.” 

We’ll know immediately that that’s a small company, because you have to sell to everybody, and we would need an 8x multiple to get to 1 billion. 

Of course, no smart founder would come and show us that. They would probably say something more like, “I’m going to charge $50.” Then the numbers get bigger, which looks nice, and then it’s our job to figure out if we believe that you’re actually going to be able to charge $50. We’ll ask questions around that. But at least now we know it’s a big market. 

The CEO’s of a potential “unicorn,” however, approach this differently. They say something more like, “Listen, real estate is broken and I’m going to build a marketplace where most transactions happen. Maybe I’m going to build a SaaS enabled marketplace and I’m going to sell some software, but fundamentally, I’m going to take a percentage of all the transactions in real estate.” 

We start thinking: “Hey, we want to back this person, they’re going to change real estate. They’re not just selling a tool to somebody.” 

We’ll admit this is very subtle, but it’s critical because it determines what type of company you can become. 

The point is, if you want to start this path, your ambitions need to be big.

When we see a founder with ambition of this scale, our job is to figure out if we believe that this person can attract the talented co-founders and early team members they’ll need to execute and actually achieve those big ambitions.

What It Takes To Go from 0 to 1: The Big Picture (Part I)

This post is Part 1 of our four-part series on What It Takes To Go from 0 to 1.

You may have heard that seed funds have grown significantly in the past decade, and that there are many more angel investors these days, plus incubators and accelerators. 

While this is exciting, what it also means for you is that getting to Series A is harder than ever. That’s because the same VC’s from more than 10 years ago are still the only ones offering Series A financing.

Take for example, a fund like Accel. The number of Series A companies that they fund has remained more or less constant. But now, there are more startups graduating from incubators and seed funds—so there is more competition for Series A funding than there was 10 years ago.

To put it into perspective: if you consider 2012 numbers, 631,817 new companies were started. Of those, only 4,671 received seed funding. Then, only 1,153 made it to Series A. That’s 0.18%. If you were a high school hockey player, you would have a higher chance of making it to the NHL. 

Moreover, the rounds themselves have shifted. The valuations of seed and Series A companies have (way) more than doubled in the last decade. This is because the companies that get funded are now older and farther along—meaning that the journey is also now longer.

Even with all this, we know that your goal as a founder is not merely to make it to Series A. You have ambitions to build a category-defining company. As you probably know, our world likes to refer to such companies as “unicorns,” defined as companies with valuations of at least $1 billion.

In 2012, there were only 22 unicorns—that’s 0.004%. Perspective again: that’s 10x harder than being a high school basketball player trying to make it to the NBA (where your odds are 0.03%).

The Startup Journey

Now, all these numbers are not to discourage you as a founder! We simply want you to know the reality of just how hard this journey is before you embark on it. We think you should know exactly what you’re getting into. 

All that said, we’re committed to helping more founders get there, and we want to share what, in our opinion, it takes to do it. 

As much as the funding landscape might have changed, the startup journey itself has not changed all that much in the last 10 years.

At 0, you are in the idea stage. We would call this the “pre-seed” stage.

At 0.5, you have a product that you, as the founder, can sell. We call this “seed.”

At 1, you have a valuable product that a team can predictively sell, without the founder.

What It Takes To Go from 0 to 1: A Four Part Series

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At Pear, we consider ourselves 0 to 1 venture capital. We partner with entrepreneurs from day zero to build category defining companies. 

You might be thinking: so many other VC funds have said all that too, but then they keep telling us that we’re “too early” or asking for “traction.” 

So what do we really mean when we say day zero? What are we actually looking for? And what is this 0 to 1 you keep talking about? How do I actually get to 1? 

Taken from Mar’s much-loved talk, we think this philosophy will shed some much needed granular and specific light on all of these questions!  

You can also read the original deck here: pear.vc/landscape or watch Mar’s original talk here: youtube.com/watch?v=B0seWrrz3Dg.

The Series

PART 1 — The Big Picture
It’s hard to get financing when you’re in the 0 to 1 stage. Even harder to become a category-defining company. We think it’s important to really understand why that’s true. You should know exactly what you’re getting into and be prepared for the reality of how hard this journey is before you embark on it.

PART 2 — Step 0: Make sure you’re in a big enough market for venture financing
Did you know you might not even need venture capital? We’ll break down what “big enough market” means quantitatively and qualitatively, and how you can communicate that effectively to venture capitalists.

PART 3 — From 0 to 0.5: Show us product love
At 0, you have a big idea. At 0.5, you have a product that you can sell and you’re ready for seed stage financing. What we look for at this stage is product love. Believe it or not, there are quite specific signals for this that we’ll explain here.

PART 4 — From 0.5 to 1: Prove that you can systematically sell your product
You’re readying yourself for Series A now. Your task is to prove two things: (1) someone who is not you can sell your product (2) you can optimize and scale that process. The most important thing you need to do is make a plan and measure your progress. We’ll walk you through it.

From Software Engineer to CTO

Cathy Polinsky, former CTO at Stitch Fix, chatted this week with Pear associate Harris, who leads our talent initiatives. This is a recap! Watch the full talk at pear.vc/speakers.

It starts as an obsession. You play with your first coding language, and you’re hooked. You keep learning new languages and building cool things with your new skills. You’re doing this in an exciting environment with enthusiastic mentors who support you.

Cathy Polinsky, former CTO at Stitch Fix, was lucky enough to grow up this way. In the 80’s, Cathy’s mother was a teacher, and Apple personal computers had arrived at school. Cathy’s mother thought the technology was interesting and bought one for their home (before they had a VCR!).

Cathay learned her first programming language, Logo, and went on to learn basic programming. Computer science was so new then that there wasn’t formal education for it in school, but growing up in Pittsburgh meant that Cathy was able to go to a summer camp at Carnegie Mellon.

“We did algorithms in the morning and more hands-on programming in the afternoon with robotics and maze solving problems, and I just really got hooked and knew I wanted to study it after high school,” said Cathy.

Sure enough, Cathy did just that, and went on to a thriving computer engineering career. In this fireside chat with Pear, she looks back at her career and highlights the building blocks she gained from each role to help future engineers make decisions about their own careers.

“A career is made in hindsight, not while you’re on that path. While you’re on it, it might not feel straight, but you can in retrospect see this arc of where you’ve come from. I’d say I have a little bit more of a clear arc than most, but I know many other people who have had different paths that have gotten there or to some other destination that they have been really excited about.”

Laying the groundwork as a software engineer scaling early Amazon
Hands-on, non-stop building at an early stage startup
Moving into management and people skills at Yahoo and beyond
Cathy’s Career Advice
Cathy’s Advice On Hiring
Tactical Hiring Tips

Laying the groundwork as a software engineer scaling early Amazon

Like many young graduates in computer science today, Cathy’s first job out of school was as a software engineer at a fast-growing company — Amazon, in 1999, right before the dotcom crash.

“I thought I’d missed the interesting times at Amazon. I thought I’d missed the early stage startup. Little did I know, I was living the interesting times. It was a gritty time. I was there during the dotcom collapse and all my stock was underwater,” Cathy recalls.

Things were still early enough for Cathy to grow fast with the company (she had a door desk when she started!). Amazon was in the hundreds of engineers then, and everyone was brilliant, but the rapid pace meant that the environment was a bit chaotic. The code base was a mess for example, with little documentation.

“It was an amazing time where I learned how to be an engineer being in a company that was scaling so fast. I learned a lot about how to hire people earlier than any other job I would have gotten,” says Cathy.

At Amazon, Cathay had the opportunity to learn from the tech giants. She developed solid, rigorous ground for her career learning to ship things at scale and having to think through everything from interview process to database and schema design, to hardware constraints and automation and testing.

But in addition to engineering skills, Amazon helped Cathy to gain a deep appreciation for the growth mindset — a mindset that serves her even today.

“Jeff [Bezos] never wanted to be written in an article and have Amazon in the same sentence with any other early stage dotcom company. He only wanted to see himself with the giant companies that were out there. I’d say that I was much more of a voice of growth and opportunity as a leader at Stitch Fix in the sense of: ‘How can we invest more, and how can we grow more?’ and making sure that we were keeping our eyes always on the long-term.”

Hands-on, non-stop building at an early stage startup

Cathy soon got the startup itch and wanted to see what early startups were like, so she went and joined a 13-person startup in San Mateo.

At first, with only two years of work experience at a scaling company, the early startup environment felt quite different. Cathy was surprised to learn that there were no automation suites and other big tools she took for granted at Amazon.

“But, I wrote way more code there than any other place, and I got to wear more hats and I got to go to a pilot customer and be involved when we were doing discussions about name changes and logos,” says Cathy. “You got to interact with people that weren’t just tech and be much more involved in the company on a different scale .”

Cathy also experienced the pain of building great products that didn’t work out.

“The company never really got off the ground. We only had two pilot customers, couldn’t get sales. There was a recession going on. It was heartbreaking when we closed the door to feel like I put so much of my blood, sweat, and tears into building something that I was really proud of.”

It was valuable first-hand experience in understanding that a successful company was not just about building a great product, but also about building the right thing and checking in with the market for early feedback.

Moving into management and people skills at Yahoo and beyond

After the startup heartbreak, Cathy turned back to big company world, though she “wouldn’t recommend to anyone to overcompensate that strongly,” she laughs.

At Oracle, Cathy realized she missed the fast pace of earlier companies, and sought to move into management. A friend pointed her to a position opening up at Yahoo.

Cathy ended up being offered her choice between two roles there — an engineering management role and an engineering lead role. She decided to try management and never looked back, going on to lead engineering at Salesforce after Yahoo, and on to the C-suite at Stitch Fix.

One of the first lessons Cathy learned in her first management role at Yahoo was to stay out of the code. The engineering manager she inherited the role from said that she regretted being so hands-on and jumping in too quickly to fix bugs or help her team with the solution.

“I really took that to heart. If I’m jumping in to heroically save the day, I’m not actually working on the fundamental issues that are going to help the team be successful in the long run. That has really influenced how I spend my time and how I look at the role,” says Cathy.

That is, transitioning into a management role means focusing your attention more on the people issues rather than the tech issues.

“I’d say that I choke often — that I would have been better off being a psychology major than a computer science major,” Cathay laughs. “Dealing with people in some of these large organizations is much more complex, and not deterministic in any way. You never know if you’re doing it the right way or not. I think that I’ve spent more sleepless nights thinking about people issues than I have about technology issues.”

In all the companies Cathy has been in, it’s been key to treat every single tech production incident as a learning opportunity.

That’s because if you’re shipping software, it’s inevitable that you are going to break something eventually. So, the question software engineers should be thinking about isn’t “How do we avoid breaking things?” but rather, “How do you make sure you don’t have the same problem happen again, and how do you make sure that you learn from it and get better and have other people around you learn from it, so they don’t have the same mistake that you had?”

Cathay is a fan of blameless postmortems.

“We get in a room and we do a postmortem of what happened, but the only rule is you can’t point fingers at anyone. You don’t name any names. You’re not trying to get anyone in trouble. If you can really approach any problem with that open mindset and learning, then you will make sure that you uncover all the problems in the areas and you won’t have the same problems again.”

Cathy’s Career Advice

  • There’s no wrong answer to big tech vs. join a startup vs. start my own company.
  • Take the roles where you’re going to learn the most.
  • Follow your passions.
  • If you are interested in something that’s different than what you’re doing today, just tell people that. People will see you differently and think of you when opportunities arise when you tell people what you’re passionate about.
  • Don’t worry about where you’re going to be 10 years from now, but have an idea of what you want to do next.
  • If you don’t know what you want to do next, talk to a lot of people.

Cathy’s Advice On Hiring

Anytime you can, hire someone smarter than you.

A lot of people have a hard time doing that. They think, “Oh, they have more experience, or they’re smarter than I am, what am I needed for?” You will never ever fail if you were hiring people that are smarter than you and know more than you.

Extend outside your network and find people who are going to push you.

I have worked in a lot of companies that focus on hiring within your network and telling the great track record they have for internal referrals. As a woman engineer, I think that’s really dangerous. I think that you have only a specific network of people and if you continue to hire people in your network, you’re only going to see people who look exactly like you and you’re not going to push yourself and get diverse opinions around the table. You’d be better off really trying to extend outside your network and finding people who are going to push you and bring different experiences to the table than you have in your own. That’s something that we were really intentional about at Stitch Fix — making sure that we were reaching out into diverse networks and seeing people that were different than the people that we already had.

Follow the structure of what you set out to do — don’t rush.

One of the challenging hires was not someone who worked directly for me, but was one level down, and was a referral from someone in the organization. We did a rush job hiring and leaned on the referral, but really did not show up living the values that we had as a company. We started to see some things that didn’t show up the way that we would expect for someone of their level. When we did a debrief on what happened, we realized that we hadn’t done reference checks and we hadn’t really done a full check on: ‘Is this person a good fit to the values that we had?’ It was a pretty big miss that we hadn’t followed the structure of what we had set out to do and really caused a lot of friction across the team because of it.

It’s critical to understand what you need for the stage of your company.

In the early days, Amazon would rather hire someone that had a couple of amazing interviews and a couple of bad interviews than someone who was mediocre across the board. They wanted to see someone who really excelled in a specific area, even if it meant they had holes in other areas. I like that sense of playing to someone’s strengths, especially as a larger company, you can take more liberties in that way.

It’s harder in an early stage company… you have funding for three hires. You’re going to need to hire some real generalists who like to build things, who can also answer phones and do hiring and operations and the like. Thinking about those first hires as generalists who are interested in getting to wear a lot of different hats is important. It’s kind of fun for the people who do it, to get to build things from the early stage.

Then you have to think about how you scale it. Because at some point, those people are probably not going to be happy after you get to a team of 100 where they’re not the best at any of those things. Either they scale, and they still know everything and are this amazing person that can jump in anywhere and add value, or they get really dissatisfied that they can’t really play the same role that they had before.

As you’re scaling things out, you’re hiring more narrow generalists of, “Hey, we really need someone who understands AWS deployments, or we need someone who really understands this mobile technology stack,” or whatever it might be.

So, if you’re really thinking about building and scaling with the business, as the business scales, you have to think about what stage you’re in and know that what works before is not going to be the thing that’s going to be successful after you get to 50 or you get to 100.

Tactical Hiring Tips

  • Take home interview questions and pair-programming interview questions are a good way to see what people are going to do in their day to day. You don’t work by yourself — you work in a team and so seeing how people work with a team is good.
  • Have candidates interview with non-technical team members and solve a problem together. It’s important for technical people to be able to talk with nontechnical folks. At Stitch Fix, this practice has enabled a much higher EQ team.
  • Have inclusive language in your job description and list fewer requirements to be more welcoming to women. Avoiding bro-like or gendered language is of course the obvious thing to do, but what might be less obvious is that long requirements can rule out certain populations of people! Men will tend to apply anyway despite not meeting all requirements, and women will tend to filter themselves out because they don’t have nearly enough of the requirements on this list.
  • Sit in on every debrief. You don’t necessarily need to meet every candidate, but you should listen carefully to candidate discussions and guide your team. “There were times where someone would explain the interview and then have a strong assessment on whether we should hire the person or not. I would listen to their rationale, but not agree with the outcome based on their assessment, so we could talk about that and dig in. Sometimes there were some things that changed the way that they thought about the interview, for example, something like, “They weren’t very confident in their skills.” We would ask, “Why did you think that?” And it could just be a passive word choice that they used, and someone else points out, “They’re actually really confident over here — and is that really a job requirement that you need?”