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Stanley Tang shares three lessons from the founding story of DoorDash

Stanley Tang, Tony Xu, and Andy Fang founded DoorDash while they were students at Stanford.

In today’s clip, Stanley tells the founding story of DoorDash and the three startup lessons he learned from this time.

#1 Test your hypothesis

During his junior year at Stanford, Stanley wanted to build technology for small business owners so he sat down with the owner of a macaroon store in Palo Alto to learn about her problems.

The owner took out a large booklet with pages of delivery orders that she had to turn down because she couldn’t fulfill them. This seemed like an interesting problem to the DoorDash founders so they spent the next few weeks talking to another 150-200 small businesses who also didn’t have a good solution for delivery.

This led the founders to wonder:

“Delivery is such an obvious thing. Why hasn’t anyone solved this before? We must be missing something. Maybe people have tried this in the past but failed because there wasn’t consumer demand. So we thought, okay, how can we test this hypothesis?”

They decided to create a simple experiment and spent an afternoon putting together a quick landing page with some PDF menus of local restaurants in Palo Alto with their personal cell phone number at the bottom.

They called the company Palo Alto Delivery and weren’t expecting much:

“We weren’t really expecting anything. We just launched it, and all we wanted to see was would we get phone calls from this? If we got enough phone calls then maybe this delivery idea was something worth pursuing.”

Later that day, the founders received a call from their first customer. They picked up the Thai food order and delivered it themselves.

The next day they got two phone calls. Then five the day after that. Then seven. Then ten.

“Soon we started gaining traction on campus with Palo Alto Delivery, which was pretty crazy because it was just a landing page, you had to look up PDF menus to place your order, and then you had to call in… That’s kind of when we knew we were onto something.”

#2 Launch fast

As Stanley explains:

“I think another key point to remember is that we launched this in about an hour. We didn’t have any drivers. We didn’t have any algorithms. We didn’t spend six months building a fancy dispatch system… At the beginning, it’s all about testing your idea, trying to get this thing off the ground, and figuring out whether this was something people even wanted.”

#3 Do things that don’t scale

“At YC there’s this mantra we like to talk about: ‘Doing things that don’t scale.’ At the beginning, we were the delivery drivers. We were customer support… We used Square to charge our customers. We used Google Docs to keep track of our orders. We used Apple’s Find My Friends to keep track of where all our drivers were. Just hacking together solutions just trying to get this thing off the ground.”

Stanley continues:

“Another thing about doing things that don’t scale is that it also allows you to become an expert in your business. Driving helped us understand how the delivery process worked. We used that as an opportunity to talk to our customers and restaurants. We manually dispatched every driver, and that helped us figure out what our driver assignment algorithm should look like… Now of course, we’ve scaled across different cities and have to worry about building out automated solutions and dispatch systems and figuring out how to match demand and supply, and all that fancy technology stuff. But none of that matters in the beginning. At the beginning, it’s all about getting this thing off the ground and trying to find product/market fit.”

In the first few months, the founders also manually emailed every new customer to ask how their fir[...]
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⁠Startup Archive Stanley Tang shares three lessons from the founding story of DoorDash Stanley Tang, Tony Xu, and Andy Fang founded DoorDash while they were students at Stanford. In today’s clip, Stanley tells the founding story of DoorDash and the three…
st delivery went:

“Feedback like that was really valuable and our customers really appreciated that… Doing things that don’t scale is one of your biggest competitive advantages when you’re starting out. You can figure out how to scale once you have demand.”

Video source: @ycombinator (2014)
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Ahmad Jivraj
🧵Dubai opens Burj Khalifa: This day in stock market history (Jan 4, 2010)

1/ Dubai opens Burj Khalifa, world's tallest building.
But here's the spooky part - record-breaking skyscrapers often mark market peaks...
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Stock Analysis Compilation
Polen Capital on TopBuild $BLD US

Thesis: TopBuild capitalizes on housing tailwinds with impressive margins and EPS growth—uncover why this insulation leader is a standout performer.

(Extract from their Q3 letter) https://t.co/22ZriJ4Y9Q
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Interesting: $PLTR's revenue per customer is steadily declining. Anyone have insights on why this might be? https://t.co/scTnNoxjHx
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Dimitry Nakhla | Babylon Capital®
A quality valuation analysis on $GOOG 🧘🏽‍♂️

•NTM P/E Ratio: 22.47x
•10-Year Mean: 23.65x

•NTM FCF Yield: 3.90%
•10-Year Mean: 4.18%

As you can see, $GOOG appears to be trading near fair value

Going forward, investors can receive ~5% MORE in earnings per share & ~6% LESS in FCF per share 🧠***

Before we get into valuation, let’s take a look at why $GOOG is a great business

BALANCE SHEET
•Cash & Short-Term Inv: $93.23B
•Long-Term Debt: $10.88B

$GOOG has a strong balance sheet, an AA+ S&P Credit Rating & 370x FFO Interest Coverage

RETURN ON CAPITAL
•2019: 16.4%
•2020: 16.2%
•2021: 27.6%
•2022: 26.1%
•2023: 28.1%
•LTM: 31.7%

RETURN ON EQUITY
•2019: 18.1%
•2020: 19.0%
•2021: 32.1%
•2022: 23.6%
•2023: 27.4%
•LTM: 32.1%

$GOOG has strong return metrics, highlighting the financial efficiency of the business

REVENUES
•2018: $136.82B
•2023: $307.39
•CAGR: 17.57%

FREE CASH FLOW
•2018: $22.83B
•2023: $69.50B
•CAGR: 24.93%

NORMALIZED EPS
•2018: $2.19
•2023: $5.80
•CAGR: 21.50%

SHARE BUYBACKS
•2018 Shares Outstanding: 14.07B
•LTM Shares Outstanding: 12.51B

By reducing its shares outstanding ~11%, $GOOG increased its EPS by ~12.3% (assuming 0 growth)

MARGINS
•LTM Gross Margins: 58.1%
•LTM Operating Margins: 32.1%
•LTM Net Income Margins: 27.7%

***NOW TO VALUATION 🧠

As stated above, investors can expect to receive ~5% MORE in EPS & ~6% LESS in FCF per share

Using Benjamin Graham’s 2G rule of thumb, $GOOG has to grow earnings at an 11.24% CAGR over the next several years to justify its valuation

Today, analysts anticipate 2025 - 2027 EPS growth over the next few years to be more than the (11.24%) required growth rate:

2024E: $7.98 (37.5% YoY) *FY Dec

2025E: $8.95 (12.2% YoY)
2026E: $10.19 (13.8% YoY)
2027E: $11.78 (15.6% YoY)

$GOOG has an excellent track record of meeting analyst estimates ~2 years out, so let’s assume $GOOG ends 2027 with $11.78 in EPS & see its CAGR potential assuming different multiples

24x P/E: $282.72💵 … ~14.0% CAGR

23x P/E: $270.94💵 … ~12.4% CAGR

22x P/E: $259.16💵 … ~10.7% CAGR

21x P/E: $247.38💵 … ~9.0% CAGR

20x P/E: $235.60💵 … ~7.3% CAGR

As you can see, $GOOG appears to have attractive return potential IF we assume >22x earnings (a multiple below its 5-year & 10-year mean)

At >24x earnings, $GOOG has aggressive CAGR potential & it’s not unreasonable for the business to even trade for ~24x (given its growth rate, moat, balance sheet, & exemplary capital allocation)

Those buying $GOOG today at $191💵 are getting a great business at a more than reasonable price, ensuring a slight margin of safety

Between cloud ☁️ , AI 🤖 , quantum computing ⚛️, $GOOG has a strong growth runway ahead

I consider $GOOG a strong buy with a substantial margin of safety closer to $179💵 where I could conservatively expect double-digit CAGR while assuming a 20x multiple

$GOOGL
___

𝐃𝐈𝐒𝐂𝐋𝐎𝐒𝐔𝐑𝐄‼️: 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐍𝐎𝐓 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐀𝐝𝐯𝐢𝐜𝐞. 𝐁𝐚𝐛𝐲𝐥𝐨𝐧 𝐂𝐚𝐩𝐢𝐭𝐚𝐥® 𝐚𝐧𝐝 𝐢𝐭𝐬 𝐫𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐯𝐞𝐬 𝐦𝐚𝐲 𝐡𝐚𝐯𝐞 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐢𝐞𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐰𝐞𝐞𝐭.

𝐓𝐡𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐰𝐞𝐞𝐭 𝐢𝐬 𝐢𝐧𝐭𝐞𝐧𝐝𝐞𝐝 𝐟𝐨𝐫 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐩𝐮𝐫𝐩𝐨𝐬𝐞𝐬 𝐨𝐧𝐥𝐲 𝐚𝐧𝐝 𝐬𝐡𝐨𝐮𝐥𝐝 𝐧𝐨𝐭 𝐛𝐞 𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐞𝐝 𝐚𝐬 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐚𝐝𝐯𝐢𝐜𝐞 𝐭𝐨 𝐦𝐞𝐞𝐭 𝐭𝐡𝐞 𝐬𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐧𝐞𝐞𝐝𝐬 𝐨𝐟 𝐚𝐧𝐲 𝐢𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥 𝐨𝐫 𝐬𝐢𝐭𝐮𝐚𝐭𝐢𝐨𝐧. 𝐏𝐚𝐬𝐭 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐢𝐬 𝐧𝐨 𝐠𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞 𝐨𝐟 𝐟𝐮𝐭𝐮𝐫𝐞 𝐫𝐞𝐬𝐮𝐥𝐭𝐬.

𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐝 𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐰𝐞𝐞𝐭 𝐡𝐚𝐬 𝐛𝐞𝐞𝐧 𝐨𝐛𝐭𝐚𝐢𝐧𝐞𝐝 𝐟𝐫𝐨𝐦 𝐬𝐨𝐮𝐫�[...]
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⁠Dimitry Nakhla | Babylon Capital® A quality valuation analysis on $GOOG 🧘🏽‍♂️ •NTM P/E Ratio: 22.47x •10-Year Mean: 23.65x •NTM FCF Yield: 3.90% •10-Year Mean: 4.18% As you can see, $GOOG appears to be trading near fair value Going forward, investors…
�𝐞𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞𝐝 𝐭𝐨 𝐛𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞, 𝐛𝐮𝐭 𝐢𝐬 𝐧𝐨𝐭 𝐠𝐮𝐚𝐫𝐚𝐧𝐭𝐞𝐞𝐝 𝐚𝐬 𝐭𝐨 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐧𝐞𝐬𝐬 𝐨𝐫 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲.
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Startup Archive
Palmer Luckey explains why founders need to “make themselves obsolete”

“When I started Oculus, I thought I was really good at everything… But I was only the best at a lot of things in our company because I had been negligent in my hiring process.”

For example, Palmer was the best optical engineer in the company, but he realized that wasn’t something to be proud of.

“That was a failure. I failed my company and my investors by making myself a critical dependency for any of our products. And the reality is I’m actually not a very good optical engineer. I was just the best at Oculus.”

Once you start scaling your company, Palmer advises founders:

“You have to make it your goal to make yourself obsolete, even at the things you like doing.. And that was really tough for me at Oculus because I realized I was basically playing house. I was sitting around doing things that way better people could be doing faster, more effectively.”

He continues:

“I give my managers the same mindset. I say, ‘Hey, your job is not to do things. It is to get them done in the best way possible. If that means you do it, then you need to do it… If that means that somebody else needs to get hired to do it, that’s what you need to do—even if you like doing it.’”

Video source: @IMA_Network (2011)
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Startup Archive
RT @ArthurMacwaters: Fantastic advice by Palmer

Palmer Luckey explains why founders need to “make themselves obsolete”

“When I started Oculus, I thought I was really good at everything… But I was only the best at a lot of things in our company because I had been negligent in my hiring process.”

For example, Palmer was the best optical engineer in the company, but he realized that wasn’t something to be proud of.

“That was a failure. I failed my company and my investors by making myself a critical dependency for any of our products. And the reality is I’m actually not a very good optical engineer. I was just the best at Oculus.”

Once you start scaling your company, Palmer advises founders:

“You have to make it your goal to make yourself obsolete, even at the things you like doing.. And that was really tough for me at Oculus because I realized I was basically playing house. I was sitting around doing things that way better people could be doing faster, more effectively.”

He continues:

“I give my managers the same mindset. I say, ‘Hey, your job is not to do things. It is to get them done in the best way possible. If that means you do it, then you need to do it… If that means that somebody else needs to get hired to do it, that’s what you need to do—even if you like doing it.’”

Video source: @IMA_Network (2011)
- Startup Archive
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