
Seed stage VC leading $1-10M rounds. We focus on two jobs: 1/ Invest in force of nature founders; 2/ Help them recruit an A+ team. Then we get out of the way.
San Francisco
Joined October 2019
- Tweets118
- Following6
- Followers1.1K
- Likes252
Audacious Ventures retweeted
Railway started the year at $20M ARR. It’s now ~$100M. Solo founder. Fully remote. Only ~40 people.
The one trait that explains why Railway is breaking all the rules:
“It’s almost like cheating on your homework when you go and look at somebody else’s solution. If this is how Stripe does this or this is how Cursor does this, I don’t want to hear about it.”
Jake Cooper (@justjake). Founder and CEO of @Railway.
Knuckle Up ↓
--
In this conversation with Jake Cooper:
00:00 Who is Jake Cooper?
02:54 How did Railway survive losing $500K a month?
06:01 What made Railway’s growth chart go vertical?
09:45 Why won’t Jake look at how other companies solve problems?
14:34 Is two the worst number of co-founders?
20:04 How does a 40-person team hit $100M in ARR?
22:41 Why does Railway say no to 90% of ideas?
28:55 How do you compete for talent against the AI labs?
32:25 What does a technical interview look like after Opus 4.5?
35:34 Trust, clarity, judgment: how does Railway’s six-week onboarding work?
44:59 What does HARD stand for, and which value costs the most?
48:49 Why does Jake go dark from Friday night to Sunday?
54:54 What breaks first in a world with 10,000x more software?
59:49 Where does Railway play in two years?
1:01:37 How has Jake had to grow as a CEO?
1:09:29 Is burnout just an input-output mismatch?
1:12:27 Why does Jake think most startup advice is overrated?
Audacious Ventures retweeted
Zain is one of the most special founders we've ever backed & was one of the easiest yes-es in @AudaciousHQ history.
Introducing @ghostai: The most capable version of personal AI is going to be local, private + the one with the most context over your life.
Congrats @zainmfj 🔥!
Introducing Core, The Personal Al Computer
The most powerful technology humanity has built should belong to you
Order today: ghost.ai
Audacious Ventures retweeted
Introducing Beam: a highly efficient agentic open model with 501B total parameters and 23B active.
- Frontier reasoning efficiency
- Advances the Western open frontier on coding & agentic tasks
- Trained end-to-end from scratch
Full weights release this month.
Learn more about Beam: reflection.ai/beam
Audacious Ventures retweeted
Glean’s push to make their own workforce fully AI-native: Leaders have to build the agents themselves. They cannot delegate it. - @jainarvind
Audacious Ventures retweeted
Great to see @tryterac mentioned here!
I asked people: "which data companies should an ambitious future founder join?"
13 votes: Mercor (@BrendanFoody @adarsh_exe @suryamidha)
11 votes: Fleet (@nicoup @andrewthezhou)
10 votes: Proximal (@MatternJustus @navidkpr @calvinchen)
9 votes: Surge (@echen)
8 votes: AfterQuery (@CarlosGeorgescu @spencermateega)
7 votes: Mechanize (@GuiveAssadi @tamaybes @EgeErdil2 @MatthewJBar)
6 votes: micro1 (@aliansarinik)
4 votes: Datacurve (@serenaa_ge @charleyslee)
4 votes: OpenAI (data team) (@BarrAlexandra @phoebethacker)
4 votes: Preference Model (@Ning_Catsnail)
3 votes: Bespoke Labs (@madiator @AlexGDimakis)
2 votes: Anthropic (data team)
2 votes: Datology (@arimorcos @hurrycane @leavittron)
2 votes: Long Lake (@alextaubman @rasmuswissmann @varunshenoy_ @tarasholovko)
2 votes: Sieve (@mokshith @thpicy)
People couldn't pick a company they work at or founded. Disclosure: I'm a small investor in AfterQuery and Fleet (in this post), and in Abundant, Applied Compute, Latch, Olam Labs, Trajectory and Vmax (elsewhere on the list). I didn't vote.
Audacious Ventures retweeted
Juicebox’s founding thesis: LLMs don’t just rank keywords better. Search becomes search + assessment, closer to how a human actually reads a profile.
- @davepaffenholz
“Message market fit is when you have people signing up. Product market fit is when they retain.”
Juicebox got 30,000 signups in 3 days. Then came six brutal months getting the product to actually work.
David Paffenholz. Co-founder and CEO of Juicebox.
Started the company at 21. 90 employees, 5K+ customers today. Bet on getting search right first while competitors tried to build the entire “AI recruiter.”
Knuckle Up ↓
In this conversation with David:
0:00 Who is David Paffenholz?
2:42 Why betting everything on search beat the "AI recruiter" hype?
6:57 From search to copilot to agents: how has the product evolved?
10:02 Why hasn't LinkedIn already built this?
11:34 What's stopping OpenAI or Anthropic from just building this instead?
13:14 How does Juicebox stay ahead as competitors ship just as fast?
16:25 What made David's first 60-second LinkedIn video actually work?
18:12 "Message market fit" vs product market fit: what's the real difference?
19:12 What was the brutal six months after launch actually like?
22:50 Why are large enterprises still slow to adopt AI recruiting?
30:49 What are Juicebox's only two company values?
32:17 How does Juicebox mandate five days in office without going 996?
35:17 How has Juicebox never lost an employee in two years?
45:32 Does David think 90% of employees need to be "AI-pilled"?
56:57 What happens when a candidate gets 240 outreaches and answers four?
1:05:50 What was David's biggest mistake as a first-time CEO?
1:10:30 Quickfire: red flags, overrated advice, and Cursor's hiring machine
1:16:10 How is David thinking about kids and life at 25?
Audacious Ventures retweeted
The most-contacted person on Juicebox - a Bay Area software engineer - got 240 outreaches in 12 months.
He answered 4.
Can cold outbound work if you want to recruit the best engineers?
- @davepaffenholz
“Message market fit is when you have people signing up. Product market fit is when they retain.”
Juicebox got 30,000 signups in 3 days. Then came six brutal months getting the product to actually work.
David Paffenholz. Co-founder and CEO of Juicebox.
Started the company at 21. 90 employees, 5K+ customers today. Bet on getting search right first while competitors tried to build the entire “AI recruiter.”
Knuckle Up ↓
In this conversation with David:
0:00 Who is David Paffenholz?
2:42 Why betting everything on search beat the "AI recruiter" hype?
6:57 From search to copilot to agents: how has the product evolved?
10:02 Why hasn't LinkedIn already built this?
11:34 What's stopping OpenAI or Anthropic from just building this instead?
13:14 How does Juicebox stay ahead as competitors ship just as fast?
16:25 What made David's first 60-second LinkedIn video actually work?
18:12 "Message market fit" vs product market fit: what's the real difference?
19:12 What was the brutal six months after launch actually like?
22:50 Why are large enterprises still slow to adopt AI recruiting?
30:49 What are Juicebox's only two company values?
32:17 How does Juicebox mandate five days in office without going 996?
35:17 How has Juicebox never lost an employee in two years?
45:32 Does David think 90% of employees need to be "AI-pilled"?
56:57 What happens when a candidate gets 240 outreaches and answers four?
1:05:50 What was David's biggest mistake as a first-time CEO?
1:10:30 Quickfire: red flags, overrated advice, and Cursor's hiring machine
1:16:10 How is David thinking about kids and life at 25?
Audacious Ventures retweeted
Most AI recruiting startups tried to be your full “AI recruiter.”
Juicebox obsessed on one thing for the first two years: Candidate search. And that focus made all the difference in them breaking apart from the crowded landscape.
- @davepaffenholz
“Message market fit is when you have people signing up. Product market fit is when they retain.”
Juicebox got 30,000 signups in 3 days. Then came six brutal months getting the product to actually work.
David Paffenholz. Co-founder and CEO of Juicebox.
Started the company at 21. 90 employees, 5K+ customers today. Bet on getting search right first while competitors tried to build the entire “AI recruiter.”
Knuckle Up ↓
In this conversation with David:
0:00 Who is David Paffenholz?
2:42 Why betting everything on search beat the "AI recruiter" hype?
6:57 From search to copilot to agents: how has the product evolved?
10:02 Why hasn't LinkedIn already built this?
11:34 What's stopping OpenAI or Anthropic from just building this instead?
13:14 How does Juicebox stay ahead as competitors ship just as fast?
16:25 What made David's first 60-second LinkedIn video actually work?
18:12 "Message market fit" vs product market fit: what's the real difference?
19:12 What was the brutal six months after launch actually like?
22:50 Why are large enterprises still slow to adopt AI recruiting?
30:49 What are Juicebox's only two company values?
32:17 How does Juicebox mandate five days in office without going 996?
35:17 How has Juicebox never lost an employee in two years?
45:32 Does David think 90% of employees need to be "AI-pilled"?
56:57 What happens when a candidate gets 240 outreaches and answers four?
1:05:50 What was David's biggest mistake as a first-time CEO?
1:10:30 Quickfire: red flags, overrated advice, and Cursor's hiring machine
1:16:10 How is David thinking about kids and life at 25?
Audacious Ventures retweeted
The elephant in the room for any "AI for recruiting" startup is LinkedIn. They already own the graph and the user attention. Why can't they build what @juicebox_work has built?
@davepaffenholz's answer ↓
“Message market fit is when you have people signing up. Product market fit is when they retain.”
Juicebox got 30,000 signups in 3 days. Then came six brutal months getting the product to actually work.
David Paffenholz. Co-founder and CEO of Juicebox.
Started the company at 21. 90 employees, 5K+ customers today. Bet on getting search right first while competitors tried to build the entire “AI recruiter.”
Knuckle Up ↓
In this conversation with David:
0:00 Who is David Paffenholz?
2:42 Why betting everything on search beat the "AI recruiter" hype?
6:57 From search to copilot to agents: how has the product evolved?
10:02 Why hasn't LinkedIn already built this?
11:34 What's stopping OpenAI or Anthropic from just building this instead?
13:14 How does Juicebox stay ahead as competitors ship just as fast?
16:25 What made David's first 60-second LinkedIn video actually work?
18:12 "Message market fit" vs product market fit: what's the real difference?
19:12 What was the brutal six months after launch actually like?
22:50 Why are large enterprises still slow to adopt AI recruiting?
30:49 What are Juicebox's only two company values?
32:17 How does Juicebox mandate five days in office without going 996?
35:17 How has Juicebox never lost an employee in two years?
45:32 Does David think 90% of employees need to be "AI-pilled"?
56:57 What happens when a candidate gets 240 outreaches and answers four?
1:05:50 What was David's biggest mistake as a first-time CEO?
1:10:30 Quickfire: red flags, overrated advice, and Cursor's hiring machine
1:16:10 How is David thinking about kids and life at 25?
Audacious Ventures retweeted
“Message market fit is when you have people signing up. Product market fit is when they retain.”
Juicebox got 30,000 signups in 3 days. Then came six brutal months getting the product to actually work.
David Paffenholz. Co-founder and CEO of Juicebox.
Started the company at 21. 90 employees, 5K+ customers today. Bet on getting search right first while competitors tried to build the entire “AI recruiter.”
Knuckle Up ↓
In this conversation with David:
0:00 Who is David Paffenholz?
2:42 Why betting everything on search beat the "AI recruiter" hype?
6:57 From search to copilot to agents: how has the product evolved?
10:02 Why hasn't LinkedIn already built this?
11:34 What's stopping OpenAI or Anthropic from just building this instead?
13:14 How does Juicebox stay ahead as competitors ship just as fast?
16:25 What made David's first 60-second LinkedIn video actually work?
18:12 "Message market fit" vs product market fit: what's the real difference?
19:12 What was the brutal six months after launch actually like?
22:50 Why are large enterprises still slow to adopt AI recruiting?
30:49 What are Juicebox's only two company values?
32:17 How does Juicebox mandate five days in office without going 996?
35:17 How has Juicebox never lost an employee in two years?
45:32 Does David think 90% of employees need to be "AI-pilled"?
56:57 What happens when a candidate gets 240 outreaches and answers four?
1:05:50 What was David's biggest mistake as a first-time CEO?
1:10:30 Quickfire: red flags, overrated advice, and Cursor's hiring machine
1:16:10 How is David thinking about kids and life at 25?
Audacious Ventures retweeted
.@rauchg: "Anyone can build software. But some people are able to communicate the value of that software better. Some people are able to get customers, and develop from there.... You have to think about: what is the delta between me and all my competitors?... I still think there is alpha everywhere but the game is fundamentally different today (than when I was 17)."
"10,000 hours? 996? That's rookie numbers. Like... what are we talking about?"
Guillermo Rauch (@rauchg). Founder and CEO of @vercel.
Only a founder as intense and energetic as Guillermo can call 996 "rookie numbers", and you still nod along. The man who's coming after every pixel and every token of the internet.
Knuckle Up ↓
00:00 Who is Guillermo Rauch?
02:01 What is Recursive Founder Mode?
07:28 Why did Vercel open source its playbook with skills dot sh?
10:14 What is a "work prompt" interview?
14:33 Why is Guillermo still involved in every hire at nearly 800 people?
18:17 What keeps founders at Vercel when seed money is everywhere?
23:41 Do urgency and taste pull against each other?
26:43 What is the new engineering meta skill?
32:21 How does a 17-year-old show they're exceptional today?
35:47 Why does Vercel route the whole company through one agent?
38:47 Which software survives the agent era?
42:11 How has AI changed Guillermo's job as CEO?
51:39 Does Vercel even need executives anymore?
54:40 If Guillermo started Vercel today, what would he build first?
57:45 What's the story behind v0?
1:03:48 Are there still moats when anyone can build fast?
1:11:24 How does a legendary coder learn the inner game of being a CEO?
1:19:21 Where does Guillermo's energy actually come from?
1:23:07 Quickfire: overrated advice, Chrome, voice AI, Demo Fridays
1:28:38 What does the journey to greatness actually require?
Audacious Ventures retweeted
Where does @rauchg think society is headed with AI?:
His answer: We're entering an "infinitely whimsical world" era. Artists will make a comeback, small businesses will make a comeback... people with creativity can now just prompt their ideas into reality.
"10,000 hours? 996? That's rookie numbers. Like... what are we talking about?"
Guillermo Rauch (@rauchg). Founder and CEO of @vercel.
Only a founder as intense and energetic as Guillermo can call 996 "rookie numbers", and you still nod along. The man who's coming after every pixel and every token of the internet.
Knuckle Up ↓
00:00 Who is Guillermo Rauch?
02:01 What is Recursive Founder Mode?
07:28 Why did Vercel open source its playbook with skills dot sh?
10:14 What is a "work prompt" interview?
14:33 Why is Guillermo still involved in every hire at nearly 800 people?
18:17 What keeps founders at Vercel when seed money is everywhere?
23:41 Do urgency and taste pull against each other?
26:43 What is the new engineering meta skill?
32:21 How does a 17-year-old show they're exceptional today?
35:47 Why does Vercel route the whole company through one agent?
38:47 Which software survives the agent era?
42:11 How has AI changed Guillermo's job as CEO?
51:39 Does Vercel even need executives anymore?
54:40 If Guillermo started Vercel today, what would he build first?
57:45 What's the story behind v0?
1:03:48 Are there still moats when anyone can build fast?
1:11:24 How does a legendary coder learn the inner game of being a CEO?
1:19:21 Where does Guillermo's energy actually come from?
1:23:07 Quickfire: overrated advice, Chrome, voice AI, Demo Fridays
1:28:38 What does the journey to greatness actually require?
Audacious Ventures retweeted
"10,000 hours? 996? That's rookie numbers. Like... what are we talking about?"
Guillermo Rauch (@rauchg). Founder and CEO of @vercel.
Only a founder as intense and energetic as Guillermo can call 996 "rookie numbers", and you still nod along. The man who's coming after every pixel and every token of the internet.
Knuckle Up ↓
00:00 Who is Guillermo Rauch?
02:01 What is Recursive Founder Mode?
07:28 Why did Vercel open source its playbook with skills dot sh?
10:14 What is a "work prompt" interview?
14:33 Why is Guillermo still involved in every hire at nearly 800 people?
18:17 What keeps founders at Vercel when seed money is everywhere?
23:41 Do urgency and taste pull against each other?
26:43 What is the new engineering meta skill?
32:21 How does a 17-year-old show they're exceptional today?
35:47 Why does Vercel route the whole company through one agent?
38:47 Which software survives the agent era?
42:11 How has AI changed Guillermo's job as CEO?
51:39 Does Vercel even need executives anymore?
54:40 If Guillermo started Vercel today, what would he build first?
57:45 What's the story behind v0?
1:03:48 Are there still moats when anyone can build fast?
1:11:24 How does a legendary coder learn the inner game of being a CEO?
1:19:21 Where does Guillermo's energy actually come from?
1:23:07 Quickfire: overrated advice, Chrome, voice AI, Demo Fridays
1:28:38 What does the journey to greatness actually require?
Audacious Ventures retweeted
Leaders Must Manufacture Discomfort
@frank_slootman (Frank Slootman), former CEO of Data Domain, @ServiceNow , and @Snowflake, interviewed by @nakul (Nakul Mandan), @AudaciousHQ (Audacious) (Knuckle Up with Nakul)
Summary: Frank Slootman is the only person to take three enterprise software companies public, and he thinks the CEO's job is to keep the organization permanently uncomfortable. Most leaders set goals they already know they can hit and keep people they have privately written off. Slootman's answer is to compress every timeframe, buy aptitude rather than experience, and attack doubt by acting on it. Take that seriously and you stop protecting a calm quarter and start finding out what the business can actually do.
1. Time Compression. The CEO job is confrontational because you spend it compressing timeframes. Slootman treats every meeting and hallway conversation as a chance to change the intensity, the urgency, the pace, and whether the team is aiming high enough. He opens exec conversations with "how do you think it's going," then keeps opening the aperture until the person gets to his conclusion on their own. Most of them work out a week later that they got their ass kicked.
2. Drivers And Passengers. Come home on a Friday night, look in the mirror, and ask whether it mattered that you were there and where you moved the dials. An engineer once asked Slootman at an all-hands how to tell which one he was, and the answer was "you better find out before I do." Passengers are usually articulate, well-liked, and never stand out in a negative way, which is what makes them hard to see. Every company carries some, and Slootman says that in big companies it becomes a disease that eventually gets treated with a layoff.
3. The Aptitude Purchase. Slootman's first question to an exec candidate is what they are innately, effortlessly good at, the thing everyone else marvels at. "I'm not buying your experience because I can get you experience. I cannot get you aptitude." The inverse question follows: what job is absolutely lost on you, what should we never ask you to do. Most candidates treat both as trick questions, and Slootman says many have never been asked either one.
4. Back-Channel References. An interview gives you a vibe, and a vibe is a feeling. The real signal comes from superiors, subordinates, and peers going back at least 5 years, and Slootman puts his time there rather than into a 15-person interview loop. His favorite reference question is which of those three groups the candidate had trouble with, since almost everyone had trouble with one. He likes hearing peers, because ambitious people who take ownership clash; subordinates is the answer he does not want to hear.
5. The Empty Seat. "When there's doubt, there's no doubt" was the tiebreaker on every hire, and Slootman used it on every decision, not just recruiting. Once someone is clearly wrong for a role, coaching is usually a fool's errand that costs you time and ends in separation anyway. Having nobody is better than having somebody who is not the right person. CEOs sit on mediocrity because moving makes them look wrong, and "people don't just watch what you do, they watch what you don't do."
6. The 125 Question. At Data Domain, coming off $45 million, the VP of Sales built a plan for $100 million that the board would have rubber-stamped. Slootman asked what he would do differently if the number were $125 million, listened to the answer, and said "well, why don't we just do that, then?" They hit $125 million by changing the assumptions rather than the resources. Goals are insanely powerful because people immediately start breaking them down, which is why a limp goal quietly wastes the business.
7. Heels And Tips. 99% of people do not lean in hard enough. Slootman puts it in ski terms: skis are built to be ridden forward, and people ride them on their heels. Push until evidence piles up that you are overdoing it, because with a good product the evidence almost always piles up that you are underdoing it. If the resources genuinely do not convert to yield, you have just learned something more important about the business.
8. Decision Velocity. Getting everybody aligned is nice, and getting the right people aligned is essential, so Slootman never treated consensus as a goal in its own right. The question is who is carrying the execution, because those are the people who have to buy in. Waiting is a bigger risk than going, and acting triggers energy and speeds up the learning that follows. On harassment and integrity violations he moves the same day, because the organization reads response time as the real policy.
9. Standards Are The Culture. Culture exists to serve the mission, and a high-growth operation is uncomfortable by construction. The useful question is which behaviors the mission needs, which usually means a tolerance for growing faster, risking more, and working harder than feels comfortable. Integrity and respectful interaction were non-negotiable at Slootman's companies, and violations got prosecuted, because consequences are how people learn a standard is real. Culture you are unwilling to prosecute stays a set of good intentions.
10. Manufactured Anxiety. Leaders should drive high anxiety through the ranks on purpose so nobody takes their position for granted. Slootman lives in anxiety even when the numbers are good, because believing tomorrow will be fine is how people go back to sleep. He reads the current AI moment as one giant wake-up call: you may have been comfortable before, but you probably should not have been. The question he puts to CEOs is whether they are actually processing it.
11. Evaporating Swim Lanes. Slootman changed course at Snowflake because the company's swim lanes were evaporating, turning a predictable, profitable selling motion into a mega market with unfamiliar boundaries. He compares it to Intel leaving memory chips, where you commit to the move before you can see the other side. That changes how you operate, because you now have to try many things knowing most will fail. He also handed the CEO job to Sridhar Ramaswamy while holding the largest individual stake, on the view that the company needed something he did not have.
12. Providence Follows Commitment. Slootman's answer to doubt is to attack it with everything available rather than wall it off, and he describes wanting to face his demons "for breakfast." In Data Domain's first year the product moved 25 megabytes a second and everyone told him it would never fly. They found use cases small enough to sell, did $3 million, and stayed alive long enough for Intel's multi-core gains to carry the product. "When you commit, providence commits as well," and when you hesitate the world does nothing.
.@ExaAILabs CEO Will Bryk says we can reach the moon, but still struggle to find good information:
"In high school, I was like, 'I'm gonna start a new type of news organization,' because I have had this frustration... We can get to the moon and split the atom, and yet if I wanna understand what's going on at the border right now, it's really hard to. That to me is just an error in humanity."
"Why is everything politicized? I always thought this was ridiculous, and I don't accept it. I think that's just an error in our coordination structure. Something's wrong here."
"I think a lot comes back to our information tools. If there was some really well-funded news organization that didn't have bad incentives and was fully devoted to the truth, I think that would have a huge impact in the world."
"Me and my co-founder built a search engine in college together, way before Exa, because we were frustrated that it's so hard to find high-quality information."
@WilliamBryk on @KnuckleUpHQ
Audacious Ventures retweeted
Replying to @calezama_
@calezama_ thank you for stopping by @AudaciousHQ and sharing all your insights on how you're going to scale @getserval into the next generational co! We'll gladly have you back any time!
Major take aways:
- Referrals are everything! Serval asks every new hire who else they should talk to on day one. $20K referral bonus is the minimum and even more for harder to fill roles. AND:
- Two-way referral bonus for referrer and the referee.
- They have a dedicated engineer that supports recruiting through in person meetings, community events, happy hours, and poker nights. And once a month, they rent out Fjord in Sausalito and invite 8–12 high-quality people to come sauna!
- Serval gives a monthly discretionary budget for employees to try new and creative recruiting ideas.
- AI acumen and fluency isn't just a core skill for engineers, every candidate has to pass a coding challenge. Their bar is that everyone has to be meaningfully AI-fluent to work there.
- Roughly 50%+ of their hires come from referrals.
Above all else, @calezama_ has so many interesting AI experiments running through the function. You can tell that he wants to hire the best and will keep the bar high on talent! He's a true partner to the business!
Come back soon, Carlos!
Audacious Ventures retweeted
How @WilliamBryk gets charged up for his day by listening to the Mission Impossible soundtrack every morning.
"We'll figure it out" is a meme at @ExaAILabs.
“We really try to avoid non-player characters (when recruiting) - people who just go through life as if they’re on a stream and they have no agency over themselves.”
@WilliamBryk. Co-founder and CEO of Exa.
The founder who listens to the Mission Impossible soundtrack every morning, and finds more inspiration in fictional superheroes than real-life ones, on how he’s building the company powering the internet of agents.
Knuckle Up ↓
In this conversation with Will:
00:00 Who is Will Bryk?
01:49 Why do agents need a different search engine than humans?
02:53 How can an independent search company survive the big labs?
07:33 What does the internet look like when agents do the searching?
10:19 How did writing a book on the history of civilization lead to Exa?
15:39 Why does Exa hire first-principles thinkers, not rebels?
18:05 What is a “non-playable character,” and why does Exa screen for it?
19:49 How does Exa win engineers against the labs’ packages?
21:30 Why does Will kill process “before it lays eggs”?
26:27 Does the “bitter lesson” apply to humans?
29:52 What breaks when a company outgrows a single room?
34:47 Are there 100x and 1000x engineers now, not just 10x?
37:32 Why should nothing at Exa ever take a month to ship?
45:30 Where does Will’s drive actually come from?
48:28 Why are Will’s role models fictional, not real?
51:05 What does “We’ll figure it out” mean at Exa?
54:05 Why do Will’s best thoughts happen at 2:00 AM?
57:47 Quickfire: red flags, young founder myths, and Will’s mission impossible
Audacious Ventures retweeted
"A month is an insane amount of time... Nothing should ever take a month to ship at Exa" - @WilliamBryk from @ExaAILabs
“We really try to avoid non-player characters (when recruiting) - people who just go through life as if they’re on a stream and they have no agency over themselves.”
@WilliamBryk. Co-founder and CEO of Exa.
The founder who listens to the Mission Impossible soundtrack every morning, and finds more inspiration in fictional superheroes than real-life ones, on how he’s building the company powering the internet of agents.
Knuckle Up ↓
In this conversation with Will:
00:00 Who is Will Bryk?
01:49 Why do agents need a different search engine than humans?
02:53 How can an independent search company survive the big labs?
07:33 What does the internet look like when agents do the searching?
10:19 How did writing a book on the history of civilization lead to Exa?
15:39 Why does Exa hire first-principles thinkers, not rebels?
18:05 What is a “non-playable character,” and why does Exa screen for it?
19:49 How does Exa win engineers against the labs’ packages?
21:30 Why does Will kill process “before it lays eggs”?
26:27 Does the “bitter lesson” apply to humans?
29:52 What breaks when a company outgrows a single room?
34:47 Are there 100x and 1000x engineers now, not just 10x?
37:32 Why should nothing at Exa ever take a month to ship?
45:30 Where does Will’s drive actually come from?
48:28 Why are Will’s role models fictional, not real?
51:05 What does “We’ll figure it out” mean at Exa?
54:05 Why do Will’s best thoughts happen at 2:00 AM?
57:47 Quickfire: red flags, young founder myths, and Will’s mission impossible
Audacious Ventures retweeted
How do @WilliamBryk and @ExaAILabs think of engineering recruiting and leadership in the AI era?
“We really try to avoid non-player characters (when recruiting) - people who just go through life as if they’re on a stream and they have no agency over themselves.”
@WilliamBryk. Co-founder and CEO of Exa.
The founder who listens to the Mission Impossible soundtrack every morning, and finds more inspiration in fictional superheroes than real-life ones, on how he’s building the company powering the internet of agents.
Knuckle Up ↓
In this conversation with Will:
00:00 Who is Will Bryk?
01:49 Why do agents need a different search engine than humans?
02:53 How can an independent search company survive the big labs?
07:33 What does the internet look like when agents do the searching?
10:19 How did writing a book on the history of civilization lead to Exa?
15:39 Why does Exa hire first-principles thinkers, not rebels?
18:05 What is a “non-playable character,” and why does Exa screen for it?
19:49 How does Exa win engineers against the labs’ packages?
21:30 Why does Will kill process “before it lays eggs”?
26:27 Does the “bitter lesson” apply to humans?
29:52 What breaks when a company outgrows a single room?
34:47 Are there 100x and 1000x engineers now, not just 10x?
37:32 Why should nothing at Exa ever take a month to ship?
45:30 Where does Will’s drive actually come from?
48:28 Why are Will’s role models fictional, not real?
51:05 What does “We’ll figure it out” mean at Exa?
54:05 Why do Will’s best thoughts happen at 2:00 AM?
57:47 Quickfire: red flags, young founder myths, and Will’s mission impossible










