SBF and the Philosopher’s Stone

[Author’s note: This is a parody. I don’t know these people. I took artistic liberties with characters, timelines, and plot. The jargon is based on my own background as an MIT alumna, algo trader, tech founder, and reader of EA/ rationalist writings.]

NYC, 2017.

We’re in a big office space. The windows are darkened. It’s like a casino— we don’t know what time of day it is. Clusters of desks sport 2 to 11 monitors each, screen after screen of financial charts, models of financial data, computer code. This is Jane Street, a quantitative trading firm.

A young trader turns to a middle aged trader, points to a graph on his computer screen, “Does this analysis show the lead lag correlation between ETF—” 

The older trader says without looking up, “Ask SBF.”

We cut to a cluster of young traders sitting around the desk of a crazy-haired, sloppily dressed 25 year old. This is SBF, aka Sam. He’s playing a video game while fielding questions, his fingers flying over the keyboard, clicking on macros on his custom gamer mouse to quickly execute multiple complex commands with a single touch. 

A trader asks SBF, “The exchange confirmed the positions. What do you want to do to offset the risk on these overnights?”

SBF doesn’t look up from his video game, “Hedge it with SPY’s. But not 100%. Our models picked off those orders before their cancel messages were executed so we should have some edge.”

The traders around him take notes. One of the traders whispers to another, “I heard he was the highest paid trader of his class.” 

A trader asks SBF, “How do I make as much money as you? I’ve been here longer and you’re tracking to make 20X more than me.” He looks around, embarrassed, then shrugs. “Not like our bonuses are secret.”

SBF says, “I work hard. And I try not to be wrong about important stuff.”

The traders take notes. “And how do you do that?”

SBF shrugs. “I guess… I always think about work. And I make sure to be right and smart and rational.”

“But… what if you want to go have fun?”

“What do you mean?”

“Like… go to a party, or a date.”

“Just don’t do that.”

“Don’t you get tired?”

“Oh. I take nootropics and drugs for that.”

The traders take notes.

A frizzy-haired girl with glasses and buck teeth asks, “Sam, the algorithm you were talking about today that only works in high vol environments… Are you going to run it tomorrow?”

Hearing her voice, SBF does look up from his video game. He says, “Why not, Caroline?”

Caroline is the only girl in the room. She stammers, “Well, if the economic release tomorrow is like the last one, your analysis showed it might fluctuate by a whole day’s PNL in a few minutes. Is it worth risking all our other models’ performance-”

SBF talks excitedly, jabbing his finger down onto his leg for emphasis. “If it’s positive expected value and has long term potential for good risk adjusted returns, it’s our job to figure out the trade. If the numbers check out, it’s our moral duty as traders- nay- as rational actors, to stomach the risk. Otherwise another firm could build it out and eventually crush us.” 

Caroline gulps. The other traders look at SBF with admiration and respect. He’s got nerves of steel and thinks so strategically. It’s impossible to argue with his logic.

Caroline presses, “But why not try it with smaller size first?”

SBF says, “Some things work best if you go… big.”

Caroline blushes. 

SBF’s eyes widen. He abruptly goes back to coding and playing his game with renewed vigor. 

===

Palo Alto, 2017.

SBF is home for the holidays. His parents’ advanced degrees and photos with Steve Jobs, Nobel laureates, and famous Stanford alumni line the walls. The modified-Eichler house is beautiful, warm, and very Bay Area with its skylights, glass walls, compost bins, solar power, natural textiles, redwood floors. Everyone is sitting down for a vegan dinner.

SBF’s dad says, “I talked with Professor Gordon today. His son’s nonprofit’s doing well. Did you know he started one? They’re working with the Gates foundation on tackling malaria.”

SBF nods, eats hurriedly without tasting anything. 

SBF’s mom says, “How’s your work, Sam? Are you having fun? Making friends? It’s still a surprise to me that you’re a trader, whatever that is. I was telling my friend today I was sure you’d be a professor like us.” 

SBF’s dad says, “I’m glad he went into something different. Not everyone has to worry about saving the world.”

SBF protests, “I care about the world! I earn to give. I donate a majority of my income-”

SBF’s mom soothes him, “Of course you do, honey. No one has a bigger heart than you. You’re our star.”

Everyone keeps eating. 

SBF’s mom says, “So how involved is Bill Gates with that project? I heard malaria was one of his highest priorities.”

After dinner, SBF calls his friend, another Sam, nicknamed Trabs. SBF fidgets and starts playing a computer game as he waits for the call to connect.

Trabs answers, “Hey, Sam.”

“Hey Sam. What’s up?”

SBF pauses. He abruptly minimizes the game from his screen. He leans forward and speaks with a new intensity, “Do you ever think about what this is all for?”

“You mean, the meaning of life?”

“Yeah.”

“Um… not really. I mean… isn’t it about having fun and learning and stuff?”

SBF starts fidgeting and pacing. “I know we’re not supposed to talk about work because we’re from rival firms, but I’m one of the top at my firm. I know you must be crushing it too. This field is just not that deep. No one really knows what they’re doing. I built our derivatives platform in my 2nd year. Junior lab was harder than this. We had problem sets freshman year that were harder than this. Think what we could do if we took more risk.”

Trabs hesitantly replies, “What do you mean more risk? We take risk every day-”

SBF cuts in, “We take risk on behalf of the firm, but not in our own lives. Don’t you see? There’s more to life than making millions of dollars a year.” 

Trabs laughs. “You mean like… making billions of dollars a year?”

SBF chuckles but is serious. “Right. That’s literally impossible if we stay at our trading firms.”

“People would say we’re crazy to walk away from-”

“We’re not ‘people.’ Normal people are struggling to pay rent. Our BATNA is that we move in with our infinitely supportive parents and live amazing lives. Or just get other jobs making at least a few hundred grand a year. People of our opportunity, privilege, and talent have a duty to take more risk, to be more.” 

“So… how do we do that?”

===

1 year later…

Berkeley, 2018. The office is crowded, desks jammed right against each other, monitors everywhere. There’s a small sign written in sharpie that says Alameda Research on the door, otherwise it’s nondescript. SBF is sleeping in the office on a bean bag. The vegan protein drinks he subsists on are littered everywhere. It’s past midnight and his coworkers whisper so as not to disturb him. The office is full, everyone still working, unkempt, long hair, dirty hair and feet.

Caroline and Trabs are interviewing a candidate who’s dressed in a suit while they wear gym shorts and MIT/ Stanford t-shirts. The candidate stifles a yawn and says, “The answer is root n over e.” Caroline and Trabs look at him, impressed. 

Trabs says, “Did you do that in your head?”

The candidate nods, “Yes.”

Trabs looks over at Caroline, who says to the candidate, “Can you please wait outside for a moment while we confer?”

The candidate exits. Caroline turns to Trabs, who looks excited. He smiles at her hopefully, “Well?”

Caroline says, “Send the candidate home. Not worth waking up Sam over.”

Trabs protests, “But no one else has ever gotten those answers that fast. I think we might’ve postulated a new theorem. And look-“ Trabs gestures to the candidate’s resume. “International math Olympiad, international informatics Olympiad, international physics Olympiad-”

Caroline interrupts, “Sounds great for a sleepy monopoly like Google that just needs to not die too fast. You know what Sam says. We have to have the whole trifecta.” She counts them off on her hands to demonstrate, “Super genius, crazy hard working, and self sacrificing. This person isn’t inspired by a huge mountain of work and the prospect of saving humanity. Most people just want to make enough money to go home to their families and enjoy their lives.”

Trabs pulls at his hair. “So?”

Caroline retorts, “Which isn’t enough for our mission! Sam says once you have kids, you can no longer think rationally. Your utility function gets warped into prioritizing your own kid over random strangers. You start valuing your first million dollars more than the next million dollars. That’s irrational. We need people who are monkishly devoted to work, who always want the next million as much as they wanted their first million, who see the importance of making more money so they can save more lives today, who feel as urgently about saving a stranger’s kid as they would about saving their own kid. You can’t be a monk if you have kids. Even if you’re smart and hard working, you can’t save all the suffering strangers in the world if you’re not willing to take a massive calculated risk.”

Trabs sighs, defeated. “I’ll just say, ‘not a culture fit.’”

===

2 years later… 

Hong Kong, 2020. 

The office is again packed with desks and nerds hard at work. The city glitters below them. It’s past midnight. The employees are kids who wear t-shirts that say “FTX.” 

SBF sits with a serious, thin, middle aged Chinese man. The Chinese man sizes up SBF, who plays a computer game. SBF’s hair is longer and unrulier than ever.

The Chinese man says, “So, what make you think your exchange will survive? Why people use FTX instead of Binance?”

Without looking over, SBF says, “With all due respect, CZ, sir, because we let them trade cheaper and faster.”

CZ rubs his chin, looks skeptical. “How you give better price?”

SBF says, “The full details are proprietary, but our liquidity engine funnels the tough to match orders to Alameda, who’s better able to internalize that flow because it trades a larger basket.”

“And you let the customers trade with leverage? How you collateralize?”

“Same way everyone else does.”

CZ grins for the first time. “Yes. Tokens. We both discovered alchemy- the secret of turning shit into gold!” CZ cackles and makes money gestures with his hands.

“I don’t want that. I’m in it to make an impact.”

CZ scoffs. “Come on.”

“It’s true! I want to do the right thing. The logical thing. The right business choice.”

CZ smiles knowingly. “You want me show you right way do business in Asia?”

SBF nods earnestly. “Yeah. Of course.”

We cut to CZ and SBF in a casino sitting at a betting table surrounded by dancing women. Chinese music blasts and CZ takes a shot. The scantily clad women rub themselves against CZ and spill alcohol. SBF sits on his hands, nervously shaking his legs. His fingers itch for the comfort of his gaming mouse. A woman strokes his hair and he shrinks from her touch. 

A woman approaches with a whole roast pig. CZ says to SBF, “Eat the face. Best part.”

Grey faced, SBF shakes his head and swallows an urge to vomit.

“Which girl you like?”

“I’m good. No thanks.”

“You ever go to casino? Splash cash?”

SBF shakes his head no.

“You should spend more time here. This is the business we’re in. Gambling. You know how I learned about crypto? While playing poker! I was degen. I went homeless to buy crypto. Have you heard more degenerate shit than that? Like addict. Crypto religion. That’s why I know my customers. Everyone in crypto because like us. Dream of big money, better life.”

SBF demurs, “I just want to add liquidity to markets-”

CZ leaps up and throws the roast pig off the table, stunning SBF into silence. A woman runs to clean it up, wiping on her knees, picking up the food with her hands. CZ ignores her. “You pretend you are better. Better than human. You pretend you don’t like food, sex, money. You‘re a machine for altruistic purpose, a god, above base urges, right? But how will you give the people what they want if don’t admit the vice in every man?”

“I don’t— I think—”

CZ looks disgusted. “You think too much, Sam. Outside you talk pure, inside you’re dirty like the rest of us.” CZ addresses one of the scantily dressed, dancing women. “Agree? Aren’t the nastiest lovers the ones who button up and tie their ties perfectly?” CZ looks back over at Sam. “How much you want to bet she agrees? $10K? $100K?”

Sam shakes his head, “I don’t want to bet against you. I wouldn’t know. I agree with you.”

“What kind of trader doesn’t bet?”

“All my trades are automated.”

“Of course!” CZ slaps his leg. “You hide behind math and machines. But have you been tilted? Have you been stuffed with a bad order and felt the sinking in your whole body as it moved against you? Have you agonized over whether to puke out of your position and eat the loss, or to let it ride on the blind hope it’ll come back?”

“I would never do that. That’d be irrational—”

“Ha! Rationality nothing. Everyone has limit. You haven’t been pushed, but one day must. On tilt. Then learn the hard lesson we all must learn. How it feel to be horribly punished for mistake. Denial, shock, loathing, blame, doubling down, make it worse, dig in deeper…”

“I would never do that.”

“Let’s test.” CZ’s smirk drops. “I flip this coin. You call it. If you win, I give you $50MM investment for 20% of FTX. If I win, you give me 20% of FTX for free.”

Sam doesn’t hesitate. “Heads.”

CZ flips the coin into the air… It’s tails.

CZ grins, the coin in his palm. He starts to withdraw his hand when Sam reaches out to stop him. Surprised, CZ halts with the contact. 

Sam says, “Again. This time, I flip, you call it, $100MM for 20% or I give you 40%.”

CZ looks intrigued. “Now wondering, do I even want 40% given this interaction? And how much you are considering how to enforce this agreement?”

Sam shrugs. CZ hands him the coin. Both their eyes are on it as Sam flips it in the air…

===

1 year later…

A montage of people talking about FTX:

A day trader signs up for FTX. “You mean I can make money fast, easily, without posting much cash upfront? Genius.”

An effective altruist admires SBF. “He’s my hero. He’s proof that if you work hard, are well intentioned, super rational, and a genius, then you win. And humanity wins. Genius.”

A venture capitalist: “I love the risk neutral thing. One of the reasons Sam’s my favorite founder. At a big fund like ours, we don’t care if you make a lifestyle business, or even if you sell for a hundred million. We need bets that could potentially return the fund, otherwise it’s worthless to us. And normally founder interests aren’t aligned with that, but for Sam, that’s not the case. He doesn’t want to just make a few billion and call it a day. Heck, he’s already done that. He’s a billionaire but in his mind he’s fighting for the next dollar like he’s penniless. If I had 1% of his money, I would never work again. And yet he won’t settle for anything less than making ALL the money. And it’s brilliant how he justifies his greed using arithmetic around effective altruism. I think he actually believes it too, which makes it all the more effective. Genius.”

A celebrity listens to the investor talk. They sit across from Trabs. The celebrity nods along. “So if I get people to sign up for this thing, I’ll make more money?”

Trabs says, “More money for the community.”

The celebrity nods. “Sure, for ‘the community.’” The celebrity winks at the investor. “I already have hundreds of millions of dollars, but I’ve never had a billion.” 

The investor says, “This is guaranteed to score in the end zone. And who better to know about that, right? You’ll finally have billionaire status.”

===

SBF, Caroline, Trabs, Caroline’s parents, and SBF’s parents are all at dinner. SBF’s parents say, “I’m so glad we could help! Your company is world changing. I was just telling Professor Gordon that maybe his son should apply for one of your grants.”

SBF has a small smile. 

He glances over at Caroline, who’s gazing into Trabs’ eyes. Trabs and Caroline laugh together at a quiet inside joke. She shoves Trabs playfully. SBF’s smile drops. 

===

CZ watches SBF testify to Congress on TV. The chyron reads, “SBF lobbies against low integrity exchanges like Binance, calls for regulations, higher standards.” He throws a platter of whole roast pig across the room. He glares at SBF’s talking head on TV. “You think you’re so much better than us? You want to wipe us out? I will show you… Soon we see how each strength is also weakness. Faith in rationality blinds you to common sense. The key to your destruction is inside you. Just need to wait and help pull the trigger…”

===

1 year later…

Bahamas, 2022.

Trabs and SBF lounge are in their beautiful mansion. In contrast to the elegant molding and staircase, Trabs and SBF are dressed in slovenly clothes and are generally unkempt. The TV is behind them broadcasting how LUNA and all of crypto is tanking at a breathtaking rate.

Trabs says, “We can’t handle this toxic flow. These moves are massive, huge market gaps. And now we’re bailing out others? Where’s our bailout? All the other market makers pulled out so Alameda was left holding the bag.”

SBF shrugs, “Maybe our company doesn’t deserve to exist. If Alameda liquidity isn’t providing the FTX promise of best prices, speed, and least cash upfront, then FTX dies too. What’s the alternative to sticking it out?”

Trabs says, “The alternative is to just focus on the exchange. Being undercollateralized could kill-”

SBF interjects, “If people want to accept our token as collateral, who are we to-”

Trabs says, “I don’t want to accept it as collateral!”

SBF and Trabs look over at Caroline, who’s been sitting silently in the corner. SBF says, “What do you think, Caroline? You’re the Alameda CEO.”

Caroline squeaks, “Co-CEO.” She sighs. She hates when they fight. “I guess I don’t agree with Trabs… I think we have to keep doubling down. It’s… how we’ve gotten here. It’s the rational thing to do.”

SBF nods. He says, “The meaning of life isn’t keeping FTX alive. The bigger mission is to do as much good as possible. Even if it doesn’t work out 90% of the time, if the upside is so large that it’s positive EV, then we have a duty to do it.”

Trabs buries his face in his hands. “But now it’s so much more at risk. When is it enough? We’ve succeeded beyond our wildest dreams. When do we get to rest?”

SBF furrows his brow. “Rest? Enough? There are millions of people dying every day-”

Trabs groans. “Stop!” Everyone is silent for a moment. “What about us? I want a family one day. I want-”

SBF’s voice cuts Trabs off. “A family? That’s the most selfish thing I’ve ever heard.” He looks at Trabs with pain and betrayal. He had thought of them as a family. How could this not be enough for him? SBF’s face shows a moment of anguish before stiffening. “You want to leave? Is that what you’re saying?”

Trabs looks at SBF, “You know I don’t mean that. You’re my best friends. I would never leave you.”

SBF turns his back on Trabs. “If you’re not 100% with us, you’re a liability.”

Trabs’ eyes widen in disbelief. “Don’t do this, Sam. Why is everything so black and white with you? The world isn’t like that.”

“My world is. I don’t get to be normal. I’m either the hero or the villain, the good guy or the bad guy. I either save the world, or I fail.”

“Sam, we’re your friends. We love you even if you don’t do anything.”

SBF snorts in derision. “I’ll leave you two to figure out it how to announce it to the team.”

Trabs looks hurt and disbelieving. “You can’t wait to get me out of here.” He looks at Caroline. “And you. You always choose him, don’t you?”

Trabs rushes out of the room. Caroline pauses, looks at SBF uncertainly, then follows. SBF is left alone. The sun glitters in this tropical paradise while the tv shows the crypto world crashing. He’s distraught and quickly paces around the room, not sure what to do. He pulls out his computer and starts playing a video game.

===

A few months later…

SBF’s parents call him. He doesn’t answer the phone. They leave a voicemail, “Sam, we’re all so proud we get to work with you! I told Professor Gordon you’re the only one doing the right thing in this space.”

SBF cringes, hardens his jaw, plays his video game.

===

CZ watches Sam on TV. “You betray me for the last time. Such a good mask, you fool your team, reporters, even yourself, but you can’t fool me. You say you care about humanity, but you deny part of what makes you human- ego, selfishness, fear, stupidity. Now time to call your bluff… SBF, welcome to the human race.”

CZ tweets, “Due to recent revelations that have came to light, we have decided to liquidate any remaining FTT.”

===

Millions of traders react to CZ’s tweet and type rapidly on their computers.

In the Bahamas, Caroline’s team is in chaos. Dashboards are flashing red alerts, phones ring endlessly. An FTX employee asks Caroline, “All the customers are cashing out. Should we call Sam?”

Caroline looks like a deer in headlights.

===

Caroline and SBF pace around the room in silence. 

Caroline suddenly bursts into tears and runs into SBF’s arms. He holds her. 

Caroline cries. “I’ve ruined everything! I knew I wasn’t good enough. I’m just a kid. Alameda is dead. And now Trabs is gone.”

SBF’s face hardens. “We don’t need Trabs. I’ll take care of it.”

Caroline looks up at SBF and sniffles. “You’d risk FTX to save Alameda? But why?”

“There’s more to life than making billions of dollars a year.”

She looks up at him blankly. “There is?”

SBF looks at her tired, dear face. They’ve been through a lot together. Many time zones, many adventures, she’d always stuck by him. “Your utility to me is infinite.” SBF wipes the tears from her face. Cut to black.

===

A montage:

FTX-affiliated employee: “We wasted 1 to 3 years on this. That’s a long time! Now what do we do? Will anyone hire us if we don’t disavow? We always knew he was evil!”

An effective altruist: “He was evil, unlike me— I’m the good guy. It’s impossible that working hard, having good intentions, and being a genius isn’t enough. So logically he must’ve been not enough of one of those things. He’s smarter and harder working than me, so he must’ve been actively evil. He’s supposed to shut up and multiply when calculating EV, but not like that. I would never do what he did.”

MIT alum: “What if being MIT turns into a red flag for VC’s? At least we weren’t in his weird living group. You see, MIT has these houses called ILG’s—”

Celebrity: “No comment.”

FTX trader: “You mean he tried to make an easy, quick buck gambling, levered up, without posting cash upfront? What the heck? I would never do that! He’s a cheat!”

Business partner: “We were cheated.”

Warren Buffett: “My partner Charlie says you can’t cheat an honest man.”

CZ: “People say I wiped him out. I’m old man compared to SBF. Forgive me if I use old fashioned techniques like long squeeze, bank run. Not that I did. I only want to help the community.”

Trabs: “I think Sam thought of himself as a hero and acted as such. The cardinal sin of a business hero is losing money. Thou must make money, so he did what he had to do to fill that business hero role. A romantic hero must risk all to save the girl. An altruistic hero must risk all to save the world. Sam saw an opportunity to do all 3 and he had to take it. I think we put too much trust and responsibility in 1 person, which is how we got to the $30B+ valuation so fast, but it’s also how we lost it and more. It’s human to fail sometimes. And it’s human to make people into heroes and then love it when they topple off the pedestal.”

Seed Fundraising in 2013 after Y Combinator

Raising our seed was totally different from raising our series A, which I did 12 months later. Our fundraising history might look ok from the outside, but I messed up a lot. Even though our situation was atypical because of Y Combinator, hopefully some can learn from what I wish I hadn’t done for our seed, and what I’d do again. This is the story of how, when Apptimize was 6 months old, composed of consultants and 2 unpaid employees (me and my cofounder), and had zero revenue, I raised $2M in convertible notes.

I. How we started
II. What to talk about
III.  The week of demo day
IV. Who to talk with first
V. Closing the deal
VI. Mistakes with VC’s
VII. What I pitched

I. How we started

The first money into Apptimize was $50K that I put in before we incorporated. We wanted to pay our consultants: my friends around the Bay and people from hacker news. When we got into Y Combinator ~2 months later, they gave us ~$100K.

During Y Combinator, my MIT and trading friends were the first people who gave us money, not because they knew anything about what we were doing but because they knew me and know I’m a smart bet. Our founder friends also introduced us to a ton of investors.

The majority of the money we raised was through introductions through friends, such as Adi who introduced us to a bunch of amazing investors including Merus. One of our investors and friends Tom was the one who introduced us to Google Ventures during Y Combinator. He also led our Angellist syndicate. Friends were invaluable in helping us raise our seed because of the connections and advice they gave. Looking back over my notes, I’m struck afresh by how right they were about everything.

II. What to talk about

When talking with investors, I had 2 areas of discussion: topics that would lead to closing the investment, and topics that would not. Everything was either a selling point, or not. Non-selling points were barriers to go around so that we could go back to talking about Apptimize’s unique advantages. I visualized the conversation as a ride to the mobile monetization bank. I was talking with someone who, like me, believed that putting money and other resources into mobile monetization was a great idea, and I was taking them with me on this journey. If we started detouring into topics that weren’t going to lead to an investment decision, I figured out how to get us back to the freeway towards the goal. Before the end of the conversation, they had to believe that riding with me was equivalent to going to the mobile monetization bank by seeing enough signs that Apptimize would take them there.

Questions like “How much are you raising?” “What are the terms?” “How much are you going to charge your customers?” “How many people are you going to hire?” “Will some competitor do this?” were in the category of “not selling points.” There was little chance of any answer causing them to decide to invest, so the point of the answer is just to say something normal that allowed me to transition to talking about something that will improve the investment decision. The worst type of answer is the type that risks lingering over something that isn’t going to improve the investment decision, because this would waste time. Wasting time is the deadliest sin.

My strategy for these distractions was to answer in a way that didn’t invite more questioning, and transition back to the path to a decision. For example, I didn’t want the amount I was raising to be a topic of conversation because it wasn’t likely to affect the decision, so I gave a normal answer. For our fundraising environment, this was ~$1.5M. I kept all the non-selling point answers short so I didn’t derail and detour into irrelevant weirdness; non selling points were not things I had time to talk about. I didn’t want to linger at the stop signs or create unnecessary stop signs because nothing is happening there. I wanted to just check it off and pass go.

III. The week of demo day

During Y Combinator, PG made ominous remarks to me and my batch mates about how I would have no problem fundraising. It was nice that PG was so confident, but I was unsure. Preparing for demo day, PG told me, “Say in your presentation how successful you were in algorithmic trading. That’s frightening.”

A week before demo day, Tom introduced us to Google Ventures and they were the first institutional money we got for our seed. After 1 meeting, the next day MG emailed to say they were investing.

“We’re getting money!” I showed Geoff the email on my computer while jumping up and down.
“An email is not money in the bank,” he said.

In between demo day rehearsals, banking this money became my #1 goal. Google Ventures’ legal team said, “This was the fastest turnaround we’ve seen.” I kept on top of everything and made sure I got whatever docs they needed within minutes because I was optimizing for getting the money ASAP. Waiting for the wires to hit, I refreshed our bank account every hour. The few weeks I was raising, every morning when I woke up, I’d open the banking app to check for the money.

Going into demo day, with $500K+ committed but little of it banked, I was paranoid because a million things could happen- another financial crisis could destroy the global monetary system and wipe out all our would-be investors, even Google! However, I decided to always talk as though we were definitely getting all the money so that I was in a position of power while raising. In private I was preparing for the worst and called everyone I knew to ask them to invest. Until we had banked the whole $2M, I was still calling people.

We obsessed over our demo day deck. Rehearsing, I paced the Computer History Museum for hours. We kept changing our pitch up until the last moment. Asking PG to listen to an updated pitch, he exclaimed, “No, I don’t have time for this.” We slunk away as he grumbled, “You’re already doing well with investors.” We’d deviated significantly from the PG approved pitch, but we had our plan and felt good.

Demo day happened.

On demo day, after my pitch I stood at a table while investors crowded around. I did some handshake deals and enjoyed myself. Demo day was really successful for us, and we raised all the money on the most founder favorable terms possible. In the week following demo day, I had more than 25 investor meetings. Jeremy said, “Maybe you should be more selective who you meet with because we’re closing money as fast as you can take the meetings.”

I was still paranoid and almost didn’t go to burning man because the money hadn’t been banked yet.
My friend said, “You’re leaving me hanging here.”
“I can’t think about burning man right now. This raise is my #1 priority and I need help with that.”
He instantly connected me to a ton of investors. He’s amazing.

IV. Who to talk with first

Because we did well on demo day, we were connected with about 100 investors. How did I decide who to meet with in what order? I first figured out if they wanted to go where Apptimize was going. If they weren’t clearly into mobile, I put off the meeting. I also figured out how much they tended to invest. If I couldn’t figure out if it was >$50K, I would put off the meeting. The common theme behind all this was optimizing for my time. If I met with the bigger, more interested investors first, I’d have all the money sooner.

V. Closing the deal

From my experience, there are 2 main types of decision makers: fast and slow. Signs of fast decision makers include talking fast, irritability if you wander off topic, and indifference towards details. Signs of slow decision makers include lists of detailed questions, talking carefully, and wanting more of your time. Slow decision makers might be the first investors I started talking with for my series A, but they were the last ones I talked with for my seed.

Fast decision makers were my targets because my seed was about getting the money as fast as possible and moving on with life. I wanted people who could decide fast, in 1 meeting. When I met most investors, it was clear to me they were fast decision makers and had already largely decided to invest in Apptimize the instant we met. My goal was to go in there, verify their instinct was correct by being badass and answering what they wanted to know, and then getting the money.

I was constantly preparing for the moment when they investor has decided whether Apptimize was the path to the bank. The instant I sensed they’d decided, I asked for the money. This was usually 30 to 45 minutes into the meeting. It was different for different people. I didn’t try to change anyone’s mind, because changing someone’s mind (and keeping it changed) wasn’t an efficient use of my time. I just wanted to get them to decide anything, and then to get them to tell me their decision.
When I sensed they’d decided, I’d say, “Are you interested in investing?”
“Yes.”
“How much do you normally invest?”
If they didn’t have 1 number, and said something like, “A range,” or “It depends,” or “I have to run this by whoever,” I would assume they decided not to invest and figure out how to leave for my next meeting.
If they gave me a number, I’d say, “Great, I’ll send you over the docs tonight via Clerky,” and figure out how to leave for my next meeting. Easy. Despite my worries, no one ever backed out.

VI. Mistakes with VC’s

As soon as we started Y Combinator, VC’s asked mutual friends to introduce us. I was torn on whether to take the meetings because during YC you’re supposed to focus on building, not fundraising. Plus there was overall an antagonistic vibe towards VC’s. It was weird because on one hand they’re mocked as herd animals that string you along, waste your time, and pass your information to competitors. On the other hand, they’re everywhere and clearly an important part of the ecosystem.

I hated the idea that someone might waste my time, so I was often suspicious and impatient with VC’s. This was unproductive because I should’ve been either not meeting at all or figuring out what I was looking for in a long term partner. I didn’t understand anything about how venture capital worked, how VC’s are incentivized, or what they cared about. If I went into it thinking this was going to be a waste of time, it did not go well. In addition to naiveté, it was a culture clash because in algorithmic trading everyone is incredibly secretive. I’d often say, “I can’t answer that.” Thus the VC meetings only went well when it was through a warm intro or if I felt a personal connection because I became less guarded.

After we raised $2M, I should’ve stopped raising but we had VC’s who wanted to do our series A. We didn’t need the money then and I was clueless what a series A and having someone on our board really meant.
PG said, “Nancy, don’t get addicted to fundraising.”
“How did you know I’d be good at it?”
“Duh, I’ve seen more than 550 startups. Try to do the A now if you can, but stop if it gets hard.”

It took a few weeks for me to realize it was getting hard, but looking back I could’ve realized it faster if I’d known how VC’s work. This experience is what led me to realize that raising seed money is like consumer sales, whereas raising a series A is like enterprise sales. This is not to trivialize the seed- I lost 5 pounds in 1 week going to all those meetings.

After we raised our $2M, I had 40 more VC meetings over the next month that were largely a waste of time because they did not result in much additional money. We were debating whether we should just do our series A at that moment because we had verbal offers, but in retrospect we should’ve stopped, I shouldn’t’ve been so cagey, and I should’ve learned enterprise sales and how VC’s worked. I didn’t fully understand everything I’d messed up here until after our Series A, and that’s another post.

VII. What I pitched

Above I describe avoiding the non-selling points. What were my selling points? What did we actually talk about during the meetings?

My team is the first thing I explain when I introduce Apptimize to anyone. I confess my team is the best team in Silicon Valley (and thus the world) and that getting to choose exactly who I want to work with is one of the main reasons I started my own company. It’s one of my favorite things about being CEO. It’s why I’m dedicated to building the best team in the world and why the best people want to work at Apptimize. Seriously, check out apptimize.com/team and message me if you want to join us.

The next thing I’d do was show our kick ass demo. Every single person told me they were amazed. Their jaws dropped. They called over their partners to come over to look at it. They’d never seen anything like it, no one they knew had seen anything like it, and there was more magical technology where that came from.

I’d always talk about the vision. Apptimize is about reinventing mobile development. Making and maintaining native apps is totally broken and Apptimize shows people a better way. Anyone who develops on mobile can tell you all the things they hate about it because there are barriers like the app store approval process, the release cycle, the app being installed on a device that doesn’t always have internet, every minor change needing to be put on the roadmap, the difficulty in rolling back a suboptimal change, the mounting challenges in dealing with the fragmentation and variety of mobile users, the opacity in figuring out what’s working and what’s not. Is this how people are going to be making apps in 10 years? Are today’s apps anything like what apps will be in 5 years? Of course not, of course not. Apps will be better and smarter than they are right now. Mobile development will be faster and easier. Apptimize is 10x better than anything else out there and we’re going to be the drivers of that change. Apptimize allows people to innovate 100x more effectively.

The reason I started Apptimize is because we’re enabling mobile teams to innovate more intelligently and efficiently. We enable an effective process for continuous innovation. Right now I see the pain app developers deal with. I see so many apps that flounder despite a lot of work and creativity. It hurts because it’s such a waste of life. Apptimize is fixing this. It’s a no brainer. Do you want to invest?

Successful YC S13 Application

Jeremy and I incorporated Apptimize in February 2013 and applied to Y Combinator 2 months later. Below is our Y Combinator application because a lot of people ask to see it. If you’re in the Bay area and would like feedback on your application, shoot me a note and I’ll try to help because my Paul Graham simulator is pretty good (he’s always making fun of my Peter Thiel simulator though). You can read about my Y Combinator experience here. My next post will be about the many ways reality has revealed itself as different from what we saw when we wrote this application, because the competitive landscape has changed, we are now a 15 person company, and our users include the top apps in the world. I hope you find this useful and upvote/share this because I’m even including our embarrassing video. Good luck!

We were so young then...
We were so young then…

http://apptimize.com

What is your company going to make?

Apptimize lets you AB test mobile applications. You keep the native experience without needing to push changes blindly or rely on users to update. There’s a web interface to manage experiments, and a WYSIWYG interface for non-programmers. Apptimize removes the pain of designing a controlled experiment, serving variations, collecting results, and calculating statistical significance. Right now you have to be a developer and statistician to AB test a mobile app, but we make it so that non-programmers can AB test too. Apptimize makes optimization as easy for mobile as it is for web. Apptimize technology could transform the process of testing and pushing changes and be integrated into 100% of apps.

nancyhua; Nancy Hua; 27; 2007, MIT, Bachelors of Science Mathematics for Computer Science, Bachelors of Science Writing; nancyhua.com, @huanancy; GETCO algorithmic trader, Quantitative Strategies Team Leader

jorlow; Jeremy Orlow; 28; 2007, Purdue, Bachelors of Science Computer Science; @jeremyorlow; Software Engineer at Google, Software Engineer at Three Laws of Mobility (startup acquired by Motorola that was acquired by Google), DrawChat

Please tell us in one or two sentences about the most impressive thing other than this startup that each founder has built or achieved.

Nancy: trader who ran the Fixed Income Quantitative Strategies team at GETCO (GETCO grew from 100 to 500 people to become the premiere algorithmic trading company); world class expert in Fixed Income trading and exchanges.

Jeremy: owned IndexedDB (the emerging w3c standard for storing data in a browser) within Chrome; edited the spec, worked closely with Mozilla and Microsoft on the design, and wrote most of the initial implementation in Chrome/WebKit; simultaneously started the London Chrome team.

Please tell us about the time you, nancyhua, most successfully hacked some (non-computer) system to your advantage.

Nancy wanted to work in the Middle East but there wasn’t a culture of internships. Nancy discovered if she didn’t mention she was just a sophomore she could interview as a consultant (and get a company car and phone). She was the first student ever hired for Mercury’s R&D office in Israel (a load testing company acquired by HP).

At Google, Jeremy became an expert in free travel. After getting on shortlists for university recruiting, he positioned himself as a datacenter expert and visited many across America. After targeting developer relations, Jeremy got on the shortlist for places like Moscow, Berlin, Manila, Singapore, Sydney, and Tokyo, giving talks, meeting partners, and exploring- all for free.

Please tell us about an interesting project, preferably outside of class or work, that two or more of you created together. Include urls if possible.

We prototyped an app called Firesale that helps people sell unwanted stuff. To create a market of buyers, we brought on full-time Craigslist market makers. The Craigslist expert users complained about the process of being first to email a poster, so we optimized the messaging to make transacting as fast for them as possible. They also complained about Craigslist lacking a reputation/identity system, so we implemented one. We put Firesale on hold to work on Apptimize.

How long have the founders known one another and how did you meet? Have any of the founders not met in person?

We met a couple years ago through mutual friends and started working together when Jeremy convinced Nancy to leave NYC for the Bay.

Why did you pick this idea to work on? Do you have domain expertise in this area? How do you know people need what you’re making?

We picked this idea because Jeremy had looked for a mobile AB testing solution when working on Drawchat, but couldn’t find one. Three 50+ people companies, 3 YC companies, and 10+ indie developers have signed up to beta test our product. All the programmers/contractors we’ve interviewed have also asked to sign up for our private beta. This is an immediate need for most mobile companies.

Nancy is an expert in experiment design and data analysis. Jeremy is an expert in mobile and has built many efficient, scalable backends. We both love being data driven and view life as an experiment.

What’s new about what you’re making? What substitutes do people resort to because it doesn’t exist yet (or they don’t know about it)?

Most wait for app store approval and push many changes simultaneously. They eyeball the results and haphazardly rollback suspect changes.

Desperate people resort to basic, home-grown solutions. Because of other projects, Switchboard and Clutch.io evolved incomplete solutions (we noticed errors: randomization mistakes that mess up the experiments, poor error handling, malformed responses that’d crash your app!).

There hasn’t been much focused effort towards creating a seamless AB testing experience for native apps. AB testing for mobile is a technologically harder problem than for websites due to challenges particular to mobile devices (ie. intermittent internet, lack of cookies/iframes, users running different versions). Existing solutions ignore complexity whereas we view handling it as our core business.

Who are your competitors, and who might become competitors? Who do you fear most?

Several companies very recently entered the game. Swrve has so far focused on games. Pathmapp is focusing on overall analytics (pretty different from our approach). Abstate is unlaunched. Artisan and Arise.io have buggy, immature products. A risk is that Visual Website Optimizer or Optimizely will decide to focus on expanding from websites into native apps. Native might be a natural next step for them since they offer web app support in premium plans, so we’ll grow aggressively.

We think there’s no dominant player because nobody has made anything good yet. Our goal is to be the best.

What do you understand about your business that other companies in it just don’t get?

Our competitors are developers building for other developers, so most only offer programmatic interfaces. We understand often the goal setters and decision makers aren’t programmers. Apptimize makes it simple for non-technical owners, product managers, designers, and marketers via a WYSIWYG interface and a website to control and create experiments.

Our experimental setup, results, and analysis will be superior. Stanford PhD’s helped with our statistics by pointing out problems with competitors’ setups (ie. fixed sample sizes, small data set handling).

We’ll target companies who don’t monetize through app sales, instead using apps for branding, coupons, other off-app conversions. Although our first users are indie developers, most profitable apps make <$2K per month, so we’ll grow to targeting corporations like United, Starbucks.

How do or will you make money? How much could you make? (We realize you can’t know precisely, but give your best estimate.)

The plan is a monthly subscription. We’ll offer customers help with experiment design. If we charge premium customers $1K per month and get 200 customers (less than 2 sales a week) over 2 years we’d make ~$2.4MM per year 2 years in. Artisan (launched this month) claims to charge $1K-$10K per month, so that’s possibly a better price.

Ultimately we want to be the default way people change their apps. Everyone would use Apptimize to test each idea, and then use Apptimize to deliver the change to users. 100% of apps would use our library to reduce time to propagate changes and tighten the app development cycle. We’d help erase the line between apps and the web.

If you’ve already started working on it, how long have you been working and how many lines of code (if applicable) have you written?

We started in January, and Apptimize is currently ~8K lines of code (not including libraries, html, or css) and works end-to-end. The frontend is JS, CSS, and Angular. We’re on EC2 mainly using PostgreSQL, nginx, and Netty/Java.

How far along are you? Do you have a beta yet? If not, when will you? Are you launched? If so, how many users do you have? Do you have revenue? If so, how much? If you’re launched, what is your monthly growth rate (in users or revenue or both)?

Apptimize works and we just launched our private beta this week! We have 100+ signups but we only accepted 2 friends this week because we are working closely with our first customers to shape the future of our product.

The beta has the Android library, a website dashboard to manage experiments, and a results page showing statistics and conclusions. The WYSIWYG interface will be ready in a few weeks. Our research suggested starting with Android because Android developers rely on freemium (compared to iOS who make a lot off premium) and want to AB test to optimize in-app purchases, etc. Our iOS version is coming in a few weeks.

If you have an online demo, what’s the url?

yc.apptimize.com/admin

How will you get users? If your idea is the type that faces a chicken-and-egg problem in the sense that it won’t be attractive to users till it has a lot of users (e.g. a marketplace, a dating site, an ad network), how will you overcome that?

Our first customers are our friends’ startups. To target our next customers, we downloaded their apps and their competitors’ apps and are designing experiments for them. If they find the pre-designed experiments useful, they can easily start testing with those the instant they sign up.

We’ll offer customer referral rewards such as temporary premium memberships. We also want to make it easy to see and implement case study results by suggesting experiments to potential users. For marketing, we will ask and answer stackoverflow and Quora questions regarding how people AB test on mobile.

We could partner with companies in related fields like App Annie or Parse.

If we fund you, which of the founders will commit to working exclusively (no school, no other jobs) on this project for the next year?

Nancy and Jeremy are committed to exclusively working on Apptimize for the next few years.

If you had any other ideas you considered applying with, please list them. One may be something we’ve been waiting for. Often when we fund people it’s to do something they list here and not in the main application.

EEG machine to read babies’ minds. We like playing with our Emotiv machine, know prominent MIT/Stanford researchers, and see parallels between EEG analysis and high frequency market data for financial instruments (both systems produce massive amounts of data that seem random but aren’t).

A page-less browser using crowdsourcing. It’d show logical dependencies, assumptions, relationships between ideas, and best arguments for and against each belief.

Please tell us something surprising or amusing that one of you has discovered. (The answer need not be related to your project.)

People think it’s red, but no one knows the best button color.

YCombinator Summer 2013

The first day we all talked about our startups was called “prototype day” and presented as “a 2 minute way to introduce yourselves to your batch mates, talk a little about your startups, and tell each other what you could help with. Don’t stress about it at all, guys!” I made 4 slides with 5 words total, went up there and told our batch mates they should use our product if they had an app, and that although I used to be in HFT they shouldn’t ask me for investment advice.
When I sat down, PG said, “I’m going to say it again- don’t talk too fast.”
Geoff Ralston added, “And don’t drift off without a conclusion.”

After everyone was done, PG said, “You guys should notice that you guys, like investors, favor the serious startups that talk about revenue.”
I was like, “I thought this was a way to introduce ourselves, not a mock pitch towards investors! Why did everyone else clearly spend a ton of time on their presentations and assume their target audience wasn’t their fellow batch mates! Don’t they have companies to run!”
At the bar later, my drunk batch mate came up and said, “Hey, you did good, you rolled with the punches.” At that moment, I decided to win YC.
“What does ‘winning YC’ mean?” Jeremy asked.
“We’ll figure it out!”

A few days later, this resolution disappeared into the swamp of my mind along with everything that wasn’t frantically fighting to surface. There was so much shit happening that demo day nauseously oscillated between seeming ages away and then sickeningly almost upon us. Part of me had believed that if we got into YCombinator, all of our problems would be solved. Spoiler: this didn’t happen. While there were office hours where in a moment of intense optimism one might muse, “Should we be charging each user $400 or do more marketing and charge each one $10?” conversations with users that revealed they had no idea what 90% of your product did would quickly smack us down into realizing we didn’t have the luxury to discuss these types of problems.

Pre-YC, I’d wondered, “I’ve read pg’s essays. I can emulate him somewhat in my brain. Do I really need to give him 7% of my company so I can talk w him for 20 minutes about my company, which I’ve thought about a lot more than he has?” Yes, yes I did.  He really is that good. PG actually loves you and wants your startup to do well and is undyingly optimistic that it can succeed despite whatever dumb thing you’re doing. He cares about founders and developers and that’s the reason he’s doing it. Every time I’ve posted to hacker news, he’s emailed accusing me of gaming his algorithms: that’s passion. He’s a fountain of secret data no one else knows and is a genius when it comes to knowing what different groups of people like VC’s or users want. After YC ended, I was talking with pg, “How did you know x would happen?” and he was like, “Duh, I’ve seen more than 520 startups.”

Some people you talk with about your startup and it’s obvious they don’t care about you and aren’t really thinking and are just saying whatever knee-jerk thing the first google hit would say. The YC partners aren’t like that. They are excited / terrified for you and think about your situation. Each partner has their thing they’re amazing at. They’ll walk through your product with you and tell you where it sucks. Our main guy Geoff Ralston told me what to say to different leads. Mike Seibel and Ammon told me about their AB testing dramas. Sam Altman gave me his number and coached me through meetings. Kevin Hale user tested Apptimize and told us exactly what to fix. I still have screenshots of our first iteration that we were so proud of and now find quaint. It’s amazing to have some of the best and most well connected people in the world look at your disgusting fetus of a product and tell you their real opinion.

This summer, my brain was remolded into Apptimize CEO-shape. I started dreaming about Apptimize. Apptimize became the reason I was cutting my nails and working out. My whole life I’d viewed running as extremely boring but now I run 7 or 8 miles every time because it’s an incredibly efficient form of exercise for Apptimize. Apptimize lets me do anything, no matter how boring or painful. Every piece of food I eat is an energy source directed towards Apptimize productivity. Everything I do is because I did linear algebra in my brain and decided the vectors were sufficiently aligned in an Apptimize-beneficial direction compared to the other choices to merit incorporating. Every product, app, technology I see exists in the context of Apptimize and my first reaction is generally how much better it’s going to be once we get our Apptimize mitts on it.

Although these shoes "look gay," as my fellow batchmate informed me, my knees start to hurt after mile 5 so I wanted to try them out. Let me know if you have running tips!
Although these shoes “look gay,” as my fellow batchmate informed me, my knees start to hurt after mile 5 so I wanted to try them out. Let me know if you have running tips!

A week before demo day, we had the office hours with Paul Graham where you talk about your demo day outline and he yells at you while wiggling his toes. “Why are you going on and on about product features? You’re certain to cause vc’s to immediately start checking their email.” Despite this help, our rehearsal day speech was insanely bad. PG said, “I only remember 1 factoid from this demo,” before immediately proving he didn’t even remember it accurately (although Jessica did).

I have better UX now- I guess that’s another thing I learned at YC. Demo day was about having UX optimized for a particular kind of user that you don’t normally engage with- a herd of top venture capitalists. PG is a genius at demo day UX design. Every normal person is extremely bad at it (How could any normal person possibly be good at it?). Our presentations were sooo bad before PG got his hands on them. For example, I assumed VC’s wanted to know what our product did. Our product is complicated and technical with numerous benefits and applications which features I spent minutes giving examples of. PG put a stop to that and patiently listened to 10 iterations of our demo until it was pounded into something memorable. We learned to emulate PG better, which was good because we kept changing stuff until the last minute. On demo day, PG (and everyone) was seeing 20% of our presentation for the first time. Luckily, it worked out! He said our demos were “significantly improved even from yesterday.” More than 100 kick-ass investors came up to me and asked about investing, including MC Hammer who also followed me on twitter, meaning now a significant percent of my followers are celebrities named MC Hammer.

Hammer approved the posting of this photo.
Hammer approved the posting of this photo.

We almost didn’t apply to YCombinator because 7% sounded like way too much of my company to give away to a bunch of people whose blogs I already read. I felt I could get the benefit of the advice in other, cheaper ways than giving them a chunk of my company. Like, I already knew a lot of YCombinator alums from MIT so I was already quasi part of the network anyway, right? Wrong! The network is amazing. When we were going through a confusing situation, I emailed a few companies who’d gone through something similar asking for a quick phone call, and it didn’t matter that they were running companies worth hundreds of millions or billions- they called to give me the real story behind what went down.

A month after YCombinator ended, I missed everyone so much I ordered the hoodie and iPhone case and other schwag that I generally eschew. The bonds coalesce after the program ends- we all felt like we didn’t get to know each other well enough during YCombinator because there was so much going on, but now we chat online and meet up in Palo Alto. I feel so inspired every time I talk with my batch mates. If you have an entrepreneurial bone in your body, apply here. YCombinator is awesome and easily worth it.

PG and Nancy at YC