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How Kong Was Born: APIs, Hustle, and the Future of AI Infrastructure

Augusto Marietti, CEO and cofounder of Kong, has one of the most remarkable founder stories in Silicon Valley history. In this conversation with Martin Casado, Aghi shares how he went from a garage in Milan to building one of the world’s leading API infrastructure companies, surviving years of rejection, living in the U.S. on $1,000 a month, and raising his first $50K while sleeping on Travis Kalanick’s couch. They talk about the near-death moments that defined Kong’s journey, the seven-year grind before breakout success, and how APIs became the “assembly line of software.” Aghi also explains how Kong evolved into the backbone of modern API and AI connectivity, and why the coming wave of AI agents will make APIs more essential than ever. Timestamps: 00:00 Intro 01:27 The 90-Day Fundraising Mission 02:57 Cold Emailing 400 Investors Overnight 04:49 Negotiating at Travis Kalanick’s House 06:46 Living on $1,000 a Month in San Francisco 09:18 Pivoting to the API Marketplace 11:00 The Seed Round with NEA, Index, and Bezos 14:19 Getting U.S. Visas and Help from Sam Altman 17:14 Series A, CRV, and Proving the Model 19:22 The Pivot That Created Kong 20:59 Launching Open Source and Surviving on a Bridge Round 21:55 Raising the Series B with a16z 23:40 Hitting Growth Milestones and the Car Bet 25:57 Kong’s Breakout and API Leadership 28:52 AI, APIs, and the Future of Connectivity 34:27 Lessons for Founders Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends! Resources: Follow Aghi on X: x.com/sonicaghi Follow Martin on X: x.com/martin_casado Find a16z on X: https://x.com/a16z Find a16z on LinkedIn: https://www.linkedin.com/company/a16z Listen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYX Listen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711 Follow our host: https://x.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

Augusto MariettiguestMartin Casadohost
Oct 21, 202537mWatch on YouTube ↗

EVERY SPOKEN WORD

  1. 0:001:27

    Intro

    1. AM

      He opens a closet, and there's, like, all the bananas falling off because it was one guy's all eating huge bananas. He open other closet, there's another mattress with another guy sleeping in the second closet. [laughs] I say, "Okay, this, th- this is real." We had no money. We, we, we, we just take 600 bucks last left to go to a United flight, and we had 90 days to just, uh, make it or break it. We knew that if we couldn't raise, so we would go back, uh, to Italy broke, and that was it.

    2. MC

      I think a lot of people don't know or maybe don't appreciate how fast Kong grew when it actually happened. So there was seven years of starvation, right? I mean, it was just basically wasn't working.

    3. AM

      Every year we do the Founders Award. Uh, the Founders Award is 2,555 stock to the best employee of the company.

    4. MC

      Yeah.

    5. AM

      Why that? It's 255 days of struggle. It's just symbolic.

    6. MC

      Yeah.

    7. AM

      But to remember seven years of struggle, every year is a ritual. [instrumental music]

    8. MC

      So Aghi is the founder and CEO of Kong, which was previously Mashape, and we're covering his background from a garage in Milan, uh, to now being the CEO of a at scale company with, I dare say, IPO ambitions at some point.

    9. AM

      Long way. Well, long way to go, but that's one of the steps along the way.

    10. MC

      Ambitions. All right. So, so you're doing this kind of API thing. You come to the U.S. on a s- tourist visa?

  2. 1:272:57

    The 90-Day Fundraising Mission

    1. AM

      Tourist visa, yeah.

    2. MC

      And the idea was to raise-

    3. AM

      90 days

    4. MC

      ... was the idea to raise funding?

    5. AM

      Yeah. We had no money. We, we, we, we just take 600 bucks last left to go to a United flight through Cincinnati. We went through secondary room. Uh-

    6. MC

      [laughs]

    7. AM

      ... we landed up, and we landed up through... Sorry, Atlanta first time. Cincinnati was second, secondary room. And then we went right to San Francisco, and, um, and we had 90 days to just, uh, make it or break it. We knew that if we couldn't raise, so we would go back, uh, to Italy broke, and that was it.

    8. MC

      So did you raise in those-

    9. AM

      Yeah, we raised two weeks before departure, uh, from-

    10. MC

      You ra- you ra- you raised in those-

    11. AM

      Angel rounds. Uh, it was around, you know, that... We're talking about a decade ago, right?

    12. MC

      Yeah.

    13. AM

      Small checks. It was 50K angel round from a friend.

    14. MC

      Who was it from?

    15. AM

      Was the founding YouTube teams.

    16. MC

      Oh, really?

    17. AM

      There we go. And h- here's the funny story like-

    18. MC

      How did you get introduced to them?

    19. AM

      Uh, okay. That's, that's, um... So there's two interesting thing that you say, can you redo it again? I won't be able to redo it again.

    20. MC

      Yeah.

    21. AM

      So number one is we went to the Stanford Entrepreneurship Week. At that time, Stanford was doing the Stanford Entrepreneurship Week in February, and it was cool. You meet all entrepreneurs, all the VC were coming there, and, um, there was this entrepreneurship mixer, big party. We arrived, we left late. There was a, there was a big, uh... At that point, it was all paper with all the email and the registration. We steal-

    22. MC

      [laughs]

    23. AM

      ... the things with all the email and the registration, and we walk home with that. And that night till 5:00 AM, I write s- all the 400 emails-

    24. MC

      Wow

    25. AM

      ... about, "Hey, you need to know about Mashape. We didn't have time to catch up at the mixer, but I'm happy to give you a pitch tomorrow."

    26. MC

      Wow.

    27. AM

      I think-

    28. MC

      300?

    29. AM

      ... 470 didn't reply,

  3. 2:574:49

    Cold Emailing 400 Investors Overnight

    1. AM

      uh, 30 reply, and 10 were kind of interested. At the end, five or six went to meet us.

    2. MC

      Wow.

    3. AM

      And then this one person, called Kevin Donahu, who was the f- the, the VP, one of the VP or founding team of YouTube, came to our-

    4. MC

      What's his name?

    5. AM

      Kevin Donahu.

    6. MC

      Kevin Donahu.

    7. AM

      And then he start a company for baby books.

    8. MC

      Yep, yep.

    9. AM

      He sold it. But he, he said, "Look, I, I think this is something." So he wrote a $17,000 check on an air mattress.

    10. MC

      17?

    11. AM

      Thousands, yeah. And for us, 17,000 was life-

    12. MC

      Yeah

    13. AM

      ... versus debt.

    14. MC

      Yeah.

    15. AM

      'Cause we came from 600 bucks and few hundred bucks. And so then he brought two other founding team to write out a six... He said... He actually it was 16,000, 16,000, 16,000. We got 15,000. The problem with 15,000 divided three was six, six, six, six, six, six. There was too many sixes. He's like, "No, we don't, we don't want too many six in the captive." So we, we rounded up 17, 17, 17.

    16. MC

      [laughs]

    17. AM

      And we got 51,000 check. Now, the funny, the second funny part is we negotiated and closed the deal at Travis Kalanick house.

    18. MC

      Travis Kalanick’s House. I remember there was an article about you sleeping on his couch-

    19. AM

      Yeah

    20. MC

      ... or something.

    21. AM

      Yes, and Airbnb guys as well. But what, what happened during the negotiation with these guys, we're negotiating, and they didn't want... So, uh, uh, Travis, uh, had the, at that time, was this house up in Castro called the Jam Pad, where everybody would goes. Aaron Lev would go, and, uh, Drew from Dropbox was there. We're all going there on the weekends. And I didn't have a place to stay, so actually, Travis give me his place to stay a few, a few weeks, as long as I would cook carbonara for his better half once a week.

    22. MC

      [laughs]

    23. AM

      And I did that. And then, and then we need a help. He say, "Come to my kitchen. We negotiate." So we sit on the table. It was myself and Travis Kalanick, and there were the three YouTube investors negotiated this convertible notes are, like, 50% discount, something crazy. We were desperate. And so I say, "Okay. Well, I don't wanna take this deal. Like, you know, screw that." I say, "Okay, okay, we're gonna leave." I say... And I was very naive, 20 years old. "Okay, okay, we will come back." And Travis come to me, put the hands and say, "If this guy leave, you're never gonna see them again and nor the money."

    24. MC

      Wow.

    25. AM

      "So let me do something

  4. 4:496:46

    Negotiating at Travis Kalanick’s House

    1. AM

      else."

    2. MC

      Wow.

    3. AM

      "So you guys stay here and figure it out, the, the counteroffer. Aghi and I go to the bathroom. We close this salary, and we come back in 10 minutes." So Travis brought me to the bathroom, locked the door of the house so these guys don't leave. [laughs]

    4. MC

      [laughs]

    5. AM

      Went to the bathroom, and we sit there 10 minutes, go back, another round of negotiation, back to the bathroom. So three, four time. At the end, we handshake on the deal-

    6. MC

      And what was it?

    7. AM

      ... just tiny bit better.

    8. MC

      What was it?

    9. AM

      Like, 42% convertible instead of 50.

    10. MC

      Wow.

    11. AM

      And the no... And it was a higher cap, and that's it. And then we shake the hand, and, and that was it.

    12. MC

      That's crazy. So I re- I remember you had the, um, you had the Quora, like, the top Quora post for living on, like, 14,000 a year in San Francisco. You'd raised 51,000.

    13. AM

      Yeah.

    14. MC

      And now you had to make that last as long as possible.

    15. AM

      As long as possible.

    16. MC

      So maybe talk about the, the next-

    17. AM

      Yeah

    18. MC

      ... stretch.

    19. AM

      What happened is obviously we got to 50,000. We gotta go back. We are illegal in two weeks. So we went back to Italy, um, and we, we, we, we come back with a B1, which you could be there, we can be here six months. But how? We have no Social Security number. We have no credit score, nobody... So you have into this American system very different than Italy system. You, you, you, you had to enter into a new system, and we had zero anything. So we couldn't pay our salary 'cause we didn't have SSN. We didn't have a legal visa to pay ourself, all that. So the company-

    20. MC

      Did you have employees at this point?

    21. AM

      No

    22. MC

      It's just you two

    23. AM

      It was, uh, three of us. It was, uh, Michele was the third co- co-founder back then. But, um, we did 1,000 and about 1,100 monthly promissory note that the company would give us, and we would have to live in three with $1,000 a month. That would be for living

    24. MC

      So you were liv- you were living off of $1,000 a month?

    25. AM

      In three. 'Cause it's-

    26. MC

      Three, three people were living off of $1,000 a month-

    27. AM

      Yeah. Yeah, 14,000

    28. MC

      ... in San Francisco?

    29. AM

      Yeah.

    30. MC

      How do you do that?

  5. 6:469:18

    Living on $1,000 a Month in San Francisco

    1. MC

      is impossible. $1,000 a month for three people?

    2. AM

      I tell you how we did it.

    3. MC

      Tell me.

    4. AM

      So we live it in, uh, on Airbnb somewhere else at, like, 100 bucks, and all in the same mattress. Um-

    5. MC

      Wow

    6. AM

      ... and, uh, we were going to Valencia. I don't know if you do some Valencia-

    7. MC

      Did, did you have an office?

    8. AM

      No. We were working out of Starbucks. And-

    9. MC

      That's incredible

    10. AM

      ... we were living in Valencia, and we were buying rice, beans, and tuna, and pasta. And the reason is that we had to find the right amount of carbs and protein at the cheapest way possible.

    11. MC

      [laughs]

    12. AM

      And that was the combination of, I guess, amount of carbs and protein at the cheapest way possible. And that's how we made it. Like, we, we never eat out, we never buy anything. We did everything in the house. We cooked in the, in the kitchen Airbnb, rice, beans, or tuna pasta. In fact, we ate so much tuna pasta with tomato that Marco and I, when we see now tuna pasta, we almost throw up because we're just running on tuna pasta every single day.

    13. MC

      So how... Wait, so how, how long did this-

    14. AM

      Uh

    15. MC

      ... last?

    16. AM

      That last, uh, so March 2000, April 2010, uh, a year. A, a year and a few months.

    17. MC

      Wow. And what were you doing this time? I can... I know what Marco was doing this time. He was writing code. What were you doing?

    18. AM

      I was, I was writing blog, building the website, uh, calling, uh, pro- uh, the, the sign up, talking with all every sign up on the website that was talking to us and try it for hours. With mix of B- B devs, HTML, H- CSS slicer, um, talking with investor too as you start to build the seed rounds.

    19. MC

      Yeah.

    20. AM

      Um, trying to do some recruiting, that never worked because nobody wanted to work for illegal Italians that will disappears.

    21. MC

      [laughs]

    22. AM

      [laughs] So lot of, lot of mistakes and this, uh, yeah, figured things out.

    23. MC

      All right. All right, so take us to the seed round. So somebody decided to give you a proper round at some point?

    24. AM

      So then a year later, we, we, we re-architect. So we went, we went to Honolulu on the beach, on Mauna Beach, and we, we thought about, okay, all these APIs we're aggregating. I think the world is actually... Actually, we see now, finally now, but, uh, 10, 10, 15 years ago, it wasn't ready. There were to, like, build apps on the fly through APIs with drag and drop. We weren't- we were too far ahead. We're missing pieces. But I say, "Hey, we're, we're wrapping a lot of APIs." Actually, that assembly line visual still hold. We just have to pivot it and build an API marketplace where all the APIs, producer and consumers, they can come together.

    25. MC

      Yeah.

    26. AM

      And so we pivot that. We relaunch it, uh, with, with, you know, then Crunch, all the stuff.

    27. MC

      Okay, so, so originally, we're doing this kind of drag and drop-

    28. AM

      Drop, yeah

    29. MC

      ... composable-

    30. AM

      Apps builder. Yeah

  6. 9:1811:00

    Pivoting to the API Marketplace

    1. MC

      like, "Okay-"

    2. AM

      With HTML5.

    3. MC

      Wow. And then you're like, "Okay, no, we need to build a marketplace."

    4. AM

      Exactly. 'Cause, okay, the, the economy, this API economy will come. It's not just apps, it will be APIs. And we build a marketplace, we launch it, we got little... Decent tractions on long tail.

    5. MC

      Yeah.

    6. AM

      And that was already the summer of 2011-

    7. MC

      Yeah

    8. AM

      ... after pivoting a while. So we learned very fast, boom, boom, boom, and, um, and then we raised after a month-

    9. MC

      Wait, was the, was the Hawaii on the last of the money from-

    10. AM

      No, no, because, uh, San Francisco to Honolulu, I think at that time it was, like, 300 bucks. So we say with our 51K we would, we, we, we... You know, we're living, like, on tuna pasta, rice and beans in Valencia, in Mission, in this, in this historic building, middle of North Mission-

    11. MC

      And you guys l-

    12. AM

      And, like, was working-

    13. MC

      Same, same mattress?

    14. AM

      Same mattress and things. It's like-

    15. MC

      That's unbelievable. I, I didn't know that

    16. AM

      ... at some point I remember, I remember I woke up one morning, "I gotta go. I need, I need to go to Honolulu." We could do our walk on the beach and thinking about our future or no future-

    17. MC

      Yeah. Yeah

    18. AM

      ... because we knew this was going no future. Our money were starting to drain, and we needed to pivot. And that's where we had the idea, let's go for the pivot. And then we come back. We, we did crazy. I, I, I remember I was building the website. Marco was going crazy. The third co-founder was building all the Java backends and the launch it fast, and then got a little bit of TechCrunch press. At that time was read, write web.

    19. MC

      Yep.

    20. AM

      This other one was Mashable.

    21. MC

      Yep. Yep. Yeah.

    22. AM

      And so all the... We- somehow we got covered by all of them, which now like increase. And then, um, and boom, and then we raised, um, a- and then it started seed round, uh, phase.

    23. MC

      From who?

    24. AM

      So at that time, uh, we went through a lot of, lot of iterations, but w- where we ended up was NEA leading the seed round, and then Index co-leading 20A, and then we, and then we got a bunch, and then-

    25. MC

      In the seed, so Volpi did

  7. 11:0014:19

    The Seed Round with NEA, Index, and Bezos

    1. MC

      the...

    2. AM

      Yeah, so what, what, what happened it is, um, actually the first checks were George Zachar from CRV back then. He didn't, like, lead the round, but he wrote... He was the first 100K commit. And so with that, he say, "We have CRV 100K." At that point they had a seed program, very, very unusual back then. So we went 20A, and he said, "We're gonna lead this round." At that point also they start a seed program, 500K, and then we went through... And then, and then I met Mike Volpi that just moved to San Francisco to launch Index US. It was, like, him and Danny Rimer through there somewhere. I said, "Ah," and they also start out Angel, a, a seed program, and they, they wrote another big checks. And then we got a long tail. It was, was likely Jeff Bezos and Eric Schmidt in-

    3. MC

      Wow

    4. AM

      ... into the funds. And so we, we got this, this combination.

    5. MC

      How did you get Bezos and Eric Schmidt?

    6. AM

      So again, that, that is a, a seed in DPD that I don't know we can replicate. So what happened it is Jeff Bezos... So Jeff Bezos, I knew he was special about marketplace as a business, APIs and developers. AWS was just starting to take off. It was this hidden secret. So-

    7. MC

      This is 2011?

    8. AM

      Yeah. So Amazon was maybe a $50 billion company then, $80 billion company. Um-So what happened is, uh, I, I, I, I hire the lawyer of his family office for Call-

    9. MC

      Call

    10. AM

      ... for Match Shape. And after we hire for doing the seed round, as the seed round was going along, I say, "By the way, since you're also the, the lawyer of the family office and Bezos Expeditions, can you introduce me, [laughs] can you introduce me to Jeff Bezos?" That's what we do. So it's a PG cold call, and then he was on the road with his brother, going around with his brother on the road in Texas, and, uh, he wa- he, he actually really want to put more and invest. Boom. So that was Jeff Bezos. What do you get from Jeff Bezos? You get the brands, and we got a dinners, uh, a year strategizing of things, but obviously it was the big brand. And then second, uh, Eric Schmidt, we were working this co-working space, and what happened is we were the only startup that stay the latest in the night after this other startup that was doing Expedia for cruise ships. They just raised from NEA and Eric Schmidt. And at the end, they saw us working till 3:00 AM, 4:00 AM, they will leave at 2:00. When... They knew we were fundraising, and they sa- and the investor asked, "Who is the hardest worker than you?" I say, "These guys next to us." And so they introduced us to the Eric Schmidt fund, and that's how Eric Schmidt invest.

    11. MC

      Wow.

    12. AM

      Totally unrelated.

    13. MC

      All right. So now this brings us to thousand and-

    14. AM

      A lot, a lot of luck in, in-

    15. MC

      So what was your totals... What was your total seed funding you raised?

    16. AM

      At that time it was very big. Uh, it was 1.5. It's like, wow, a huge seed round.

    17. MC

      I gotta say-

    18. AM

      In 2010, '11. [laughs]

    19. MC

      I gotta say, there's a lot of optimism... It's an optimistic retrospective view to be like, there was three of you on [laughs] a mattress for a year-

    20. AM

      Mattress

    21. MC

      ... and then you say you were lucky.

    22. AM

      Illegally.

    23. MC

      [laughs] That sounds pretty unlucky.

    24. AM

      Illegally. Going to jail.

    25. MC

      [laughs] All right, so now you have your seed fund, Match Shape's going.

    26. AM

      So then we raise the seed. Uh, all right, now it's real. We gotta get these visas. [laughs] We gotta... So we went back to Italy, go to the American Embassy, blah, blah, blah, do their letter of recommendations. Actually, Sam Altman was one of the guys that wrote me a letter of recommendation when he was, um, a CEO of Loopt.

    27. MC

      No kidding.

    28. AM

      Which I met on the... We were going to the NEA retreat, and I sit next to him in the bus, and we went to Pebble Beach to the NEA retreat, and we spent three hours together, and I said, "By the way, I'm illegal here. Can you write me a letter of recommendation for my O-1 visa?"

    29. MC

      No kidding.

    30. AM

      And he wrote me, so I

  8. 14:1917:14

    Getting U.S. Visas and Help from Sam Altman

    1. AM

      have this big thing of how great I am. [laughs] From Sam Altman.

    2. MC

      From Sam Altman, that's great. [laughs]

    3. AM

      From Sam Altman, he's like, "Write the recommendation. You gotta get this guy in the country no matter what." So we got these five letters-

    4. MC

      [laughs]

    5. AM

      ... and, uh, a- and I get this O-1 visa, and finally I got the visa. So finally I can come here, I can get a WeWork space, and we start to hire, and we got seven people, and Marco also get the visa. Marco is also, because of the love book, he never got, uh, to college or nothing, so it was the hardest visa to do. So we, we figured it out, more letter of recommendations for him, and we brought him there. We stay here, blah, blah, blah. We build a year, we grow. That... But, you know, at that time, like, you needed, like, a million, let's say a million revenue to, to take a, a good Series A. For a marketplace, you need a million in gross volume. We were, like, at 50K, so lot of traction, but not a lot of revenue. Um, but we went through a three, four-month Series A raise, and, um, and CRV, uh, led, and then Index co-led the round.

    6. MC

      Was it, was it, was it Dev. that-

    7. AM

      Yeah

    8. MC

      ... that-

    9. AM

      Yeah.

    10. MC

      That-

    11. AM

      Yeah, because, uh-

    12. MC

      That's right

    13. AM

      ... George Zachary was more a consumer-

    14. MC

      Right

    15. AM

      ... so he passed the, the thing to Dev that just joined more on the enterprise side. I remember Dev, like, called me, like, a Sunday at 6:00 AM to go for a walk, uh, to decide to invest or not, and he knows I'm a night owl. And, and he just Sunday, 6:00 AM to go to-

    16. MC

      6:00 AM

    17. AM

      ... go down to Palo Alto, which I had, I had to rent a Zipcar. There, there's, there were the Zipcars.

    18. MC

      [laughs]

    19. AM

      There was no Uber. And, uh, and go down there, and, and, uh, and then go for a few walks, and I decided to, to invest, 'cause he was, he was always actually a big believer on APIs as assembly line. He could see that.

    20. MC

      Yeah, yeah.

    21. AM

      It maybe wasn't sure marketplace was the right execution-

    22. MC

      Yeah

    23. AM

      ... but the theme, he was a big believer. And I think he liked us, like, he came to see us sleeping in the same mattress. He wanted to really see that we're not, like, bullshitting the big drama story. It was really drama.

    24. MC

      Yeah, yeah.

    25. AM

      Actually, he opens... He came to the Aker house, 'cause we moved to Aker house in, uh, South Park effect at that time, where we're sleeping and working there with the seven team, and he opens a closet, and there's, like, all the bananas falling off-

    26. MC

      [laughs]

    27. AM

      ... because there was one guy who's only eating huge bananas.

    28. MC

      Yeah.

    29. AM

      He opened another closet, there's another mattress with another guy sleeping, a second closet. [laughs]

    30. MC

      Wow.

  9. 17:1419:22

    Series A, CRV, and Proving the Model

    1. AM

      there was nothing to talk about from business.

    2. MC

      The issue was you, is you couldn't monetize, or there was churn-

    3. AM

      So there's a, there's a lot of-

    4. MC

      ... there's a graduation problem, like, I mean, some-

    5. AM

      There's... Yes

    6. MC

      ... these marketplaces are very tough.

    7. AM

      So the, the idea of the marketplace, when I was, uh, staying with Airbnb founders, I learned that the marketplace are, could be the biggest, more powerful business in the world. Like, you don't even have to innovate once you get liquidity. It's just, you can't disrupt it.

    8. MC

      Yeah, of course. Yeah, yeah.

    9. AM

      Look at eBay. Look at eBay. You can't kill.

    10. MC

      Yeah.

    11. AM

      So I thought, like, there's all this API, you can build a marketplace liquidity, it'll be like the W- the AWS of market. And so we, we noticed, though, that in our case, it was a developer API marketplace, so to have... To a marketplace to work, you need to have a long tail of low-power people. If you have concentrated in a few high-power, marketplace doesn't work. Like, Airbnb houses, like, millions of people with low power. So that was one. Two, you need to have exclusivity somewhat, like, the door to access that-That marketplace supply has to be through the marketplace. APIs, you could Google and go through the website, you wouldn't go through, go through the marketplace. APIs at that time, power of law for public APIs was on the Twilio, the Stride, or 30 that matters and 3,000 that didn't matter much. So it was also this long tail power. And third thing is, was quality. Like, you couldn't... You were running a cloud marketplace, you couldn't actually maintain the quality of the supply. You would always get blamed for it, and there was no trust. And, and so I think because of that, it got to a million and a half in gross revenue, but it never became this Airbnb or Uber of APIs.

    12. MC

      What was, what was the net at a million and a half gross?

    13. AM

      Eh, that is like 10%, yeah.

    14. MC

      Yeah, nothing.

    15. AM

      And it was, it was also losing margin to AWS. So they, I could never make the economics in that model, I could never make the economics works, even if this thing would've scaled. So then we go there, it's like, okay, this is, we're a year, we're burning out, we're running out of money. And so we build this massive API engine behind the marketplace API gateway that was powering 20,000 APIs of this long tail, doing billing, rate limiting, routing, caching, authentication, authorization, logging, all of that. We build it three times, and the third time was the great one. And we say, "Wait a second, every company will become an API company. Why we don't take this, this engine and we give it to the whole world?" And that was the beginning of open source Mongo, and so boom, we, we open source, uh, Kong API gateway.

    16. MC

      What was your, what was

  10. 19:2220:59

    The Pivot That Created Kong

    1. MC

      your runway at the time that you open sourced Kong?

    2. AM

      Uh, so we open sourced in April '15. We had to take a bridge of, uh, 2 million to go another year because-

    3. MC

      Was it, was it an insider bridge?

    4. AM

      Yeah. We, we had to take an, an extensions because we were out of gas.

    5. MC

      From, from Dhavdhan and Mike?

    6. AM

      Yeah. They gave us an extension on the two millions because we were out of gas. Like, we were, would have died otherwise.

    7. MC

      Wow. So you, you release K- I remember when Kong released. It was actually a really big deal. When was that? Two thousand...?

    8. AM

      '15.

    9. MC

      '15.

    10. AM

      Yes. I think it was 2015.

    11. MC

      That was a, that was a really big deal. I remember-

    12. AM

      It took off, boom.

    13. MC

      Yeah. So this is when you and I started talking about your raise.

    14. AM

      Yeah.

    15. MC

      You were raising the B.

    16. AM

      You, you, you came at the right time. So before, like, the, uh, these guys make no sense. Okay, now it starts to make sense. [laughs]

    17. MC

      [laughs] Well, that was even a tough raise for you, just because the company had been around for seven years.

    18. AM

      Yeah. Yeah, I remember.

    19. MC

      Like a marketplace, like Kong had just come out, and it was taking off, but, like, it only been a couple of weeks-

    20. AM

      It was tough

    21. MC

      ... maybe a couple of months. And so honestly, I'll tell you what, what did it for me is, um, you know, we're, we're doing all the work, and, like, the GitHub stars checked out, your story is phenomenal, your command of the business is great, but it just wasn't enough. But then while we were doing the diligence, like, I kept getting these kind of serendipitous, like, somebody had used Kong and loved it. I remember, didn't, like, somebody stay in like your Airbnb-

    22. AM

      Yes. Yeah

    23. MC

      ... and, like, loved Kong-

    24. AM

      Yeah

    25. MC

      ... and, like, and then you forwarded that to me.

    26. AM

      Yeah.

    27. MC

      And so they're just kind of like all of this-

    28. AM

      Signs

    29. MC

      ... you know, zeitgeist around Kong, and as a result of that, I'm like, "Oh, this is clearly a phenomenon."

    30. AM

      Yeah. I remember I was spamming you with emails of every

  11. 20:5921:55

    Launching Open Source and Surviving on a Bridge Round

    1. AM

      prospect or customer-

    2. MC

      Everything, yeah

    3. AM

      ... user that were saying.

    4. MC

      Yeah.

    5. AM

      It was just, you say, "Kong, Kong usage, Kong usage," just nonstop.

    6. MC

      Yeah. Yeah, yeah.

    7. AM

      Like it was blowing up the inbox.

    8. MC

      Yeah, yeah, yeah.

    9. AM

      Yeah.

    10. MC

      So how, how close, how close were you to running out of money [laughs] for the B?

    11. AM

      Uh, so after the bridge, there were, eh, weeks.

    12. MC

      Jesus.

    13. AM

      Yeah. But I was very-

    14. MC

      Nothing, nothing is ever gonna stress you again-

    15. AM

      Very calm

    16. MC

      ... in your entire life because you've been so close to at least business-

    17. AM

      Two times

    18. MC

      ... so many times. 'Cause I, I actually remember-

    19. AM

      Yes

    20. MC

      ... when we went to the office, it felt dead.

    21. AM

      Dead.

    22. MC

      It felt like basically-

    23. AM

      We, we... No, no, we were dead.

    24. MC

      Yeah, it was-

    25. AM

      We just didn't know about it yet.

    26. MC

      You were, like, two weeks from being dead. I mean, it felt-

    27. AM

      We were as, like, bumblebee, you know, that it flies, but it's not supposed to fly, and we keep, we keep going. [laughs]

    28. MC

      [laughs] No, I remember that very, very well.

    29. AM

      I- I, yeah, and you, and you were like, you're like, "Yeah, these guys been there a while. I think they're gonna, you know, they, whatever, they raise more money, then they're gonna give up." You were... I said, I said... And it was tough. Uh, and I, I think, I think if, if we go

  12. 21:5523:40

    Raising the Series B with a16z

    1. AM

      back and say, I don't know we were able to replicate w- all the sequence that happens, all, all the things that happens. And I remember we went, uh, yeah, and then, uh, then we had that, that, uh, great sushi with, uh, with Marc Andreessen, you and I, and we sealed the deal.

    2. MC

      Yep.

    3. AM

      And Marco.

    4. MC

      Yeah. The end of 2016 we closed, and since then, the company's just been remarkable. I mean, there was kind of an announcement recently that it crossed 100 million, which is now actually quite a while back.

    5. AM

      A year and a half ago, yeah.

    6. MC

      A year and a half ago.

    7. AM

      Yeah.

    8. MC

      So-

    9. AM

      We, we... Yeah, it was in, in a year and a half, it's 10 years where we were like, when you invested, we were ARR less than a million.

    10. MC

      Yeah, yeah. Yeah, is it, I mean-

    11. AM

      Less than a million of ARR

    12. MC

      ... do you remember, do you remember-

    13. AM

      Not even a million ARR.

    14. MC

      Do you remember-

    15. AM

      500K probably.

    16. MC

      Do you remember once, I remember, so yeah, so you had a great first year, and then I told you, I said, "Listen, if you [laughs] if, if you hit 10 million or whatever it was, I'll buy you a car." Remember that?

    17. AM

      I did. Oh, actually, I, we have it in the new office now. I need to send you a picture.

    18. MC

      Well, there's a funny story about this, and so, like, you know, you, um, you do it.

    19. AM

      I did it.

    20. MC

      So, like, I think you grow, like, 10X that year or eight, 8X.

    21. AM

      So that year we went from 2 million of ARR-

    22. MC

      Yeah

    23. AM

      ... to 10.

    24. MC

      That was right.

    25. AM

      And the planning was six or seven.

    26. MC

      Yeah, yeah, yeah, yeah, yeah. And then I went and I-

    27. AM

      So 5X

    28. MC

      ... I went and I checked with compliance, and I'm like, "Can I buy Aghi a cheap car?" And they said, "The maximum for a gift is whatever it is." And so I'm like, "Crap." [laughs]

    29. AM

      [laughs]

    30. MC

      So I ended up buying you the best model car I could find.

  13. 23:4025:57

    Hitting Growth Milestones and the Car Bet

    1. MC

      towards how you think about product, how you think about markets, and then kind of move towards AI. So you actually have seen a number of shifts now, right? You saw the cloud come, you saw the shift to APIs. So maybe just talk a little bit about how you view this current shift with AI. Is it, is it fundamentally different? Is it the same? Does it change how you think about yourself as a leader? Like, how, how, how is your view at a high level?

    2. AM

      So the, the, the big thing is I, I, I'll start with API first. So obviously we, we, we built, we become this API infrastructure company.

    3. MC

      Yeah, yeah.Yeah, may-may-maybe we should just describe what Kong is right now-

    4. AM

      Exactly, yeah

    5. MC

      ... before we actually do that.

    6. AM

      So, so we left with this pivot, and we open sourced, uh, Kong API gateway. It took off, and we become an enterprise company. We became with the brand Kong Inc. Uh, and we start to build all sort of API infrastructure to run, manage and secure your internal or external APIs. So you have software, you have microservices, you have ten, hundred, thousand of APIs. We are kind of this highways, uh, that makes them run. And you have rate limiting. Like, if, if APIs were a cars, you got guardrails, speed bump, speed cameras, gas stations, tolls, bumps, guardrails, everything, and ambulance. And we provide all the infrastructure to make sure that API connectivity runs for small company, big company, all of that. Now, in, in this transition you mentioned, what really drove, I think, this explosion of cloud APIs was the workload moving from on-prem to the cloud. The second transition is breaking down the monolith to microservice. It creates more and more APIs, the big data and all that. It creates event streaming, all that. So this just data in motion is much higher than... I-it's becoming much higher than, like, data rest or data, data in use than before.

    7. MC

      But, but, but in a way, when you were starting the company, you were drafting on a big transition, right? Which was the breaking down of the monolith-

    8. AM

      Yes

    9. MC

      ... and the shift to cloud.

    10. AM

      That was the killer.

    11. MC

      Right. And so-

    12. AM

      That was the key.

    13. MC

      Yeah.

    14. AM

      I think, I think before there were all these ar-archai legacy solutions in APIs, but they were not built for the transition to the cloud and breaking down the monoliths into microservices and high scale decentralized architecture. I mean, you know from your time at NCR, like, we, we, we kind of invented a control plane, data plane separation at the API management, API control plane level. Nobody was doing it before.

    15. MC

      I, I gotta say, I, I think a lot of people

  14. 25:5728:52

    Kong’s Breakout and API Leadership

    1. MC

      don't know or maybe don't appreciate how fast Kong grew when it actually happened. So there was seven years of starvation, right? I mean-

    2. AM

      Yeah

    3. MC

      ... it was just basically wasn't working.

    4. AM

      No. Actually, I find... And you know, and you don't, you know this, but, like, every year we do the Founders Award.

    5. MC

      Yeah.

    6. AM

      Uh, the Founders Award is two thousand and five hundred and fifty-five stock to the best employee of the company.

    7. MC

      Yeah.

    8. AM

      Why that? It's two hundred and fifty-five days of struggle to remember-

    9. MC

      No kidding

    10. AM

      ... every day, which is seven years.

    11. MC

      That's, that's amazing.

    12. AM

      It's seven years.

    13. MC

      I didn't, I didn't know that.

    14. AM

      Every year the company has to go, they get two thousand and fifty-five. It's, it's just, it's just symbolic-

    15. MC

      Yeah, yeah, of course

    16. AM

      ... to remember seven years of struggle every year is a ritual.

    17. MC

      And there was this crazy diving catch, which, you know, Marco does the greatest Kong. He throws it out on the market and it catches off. But once it did, the company grew incredibly quickly, um-

    18. AM

      And we had forty-five competitors when we started.

    19. MC

      Oh, I remember that, yeah.

    20. AM

      Now it's probably thirty. [laughing]

    21. MC

      [laughing] But even then at the ti... Yeah. Well, Kong broke away pretty quickly. So I mean, you know, in, in, in recent years it's just clearly been the leader on this.

    22. AM

      Yeah.

    23. MC

      And that only happens, I think, if there's just clearly a market need. The market also kind of did you a favor in that, like, MuleSoft got acquired and Apigee got acquired too.

    24. AM

      Yeah.

    25. MC

      Right? It was like-

    26. AM

      It was right, yeah, '17 MuleSoft got acquired. Apigee got acquired in '16.

    27. MC

      That's right. Yeah. So, like, in a, in a way, kind of like the c- there was consolidation, and you broke out as this leader. So you kind of navigated this transition from, you know, cloud to breaking up the microservices. You know, you built the control plane for APIs. You're considered now, like, the, you know, the, the leader independent for sure. In the API space, Kong is the leader independent. Um, there's no question of that. But now you're facing another market shift, which is kind of this movement to AI. And so do you view this as directly impactful, adjacent, accretive? Like, how are you as CEO viewing this?

    28. AM

      Yeah. I-I think, and again, it's, it's not like it was like any me those things, but the market came at us in AI by creating more APIs. What that means, agents are gonna consume internet in a very different way than how human did. It's not anymore websites, scroll, click, up and down, applications. They, they're gonna be there, but not as relevant as before. Agents are gonna programmatically exchange labor, get tasks done through programming interface, whether it's classic APRS, MCP protocols, which is like Duolingo for APIs, makes them speak English, whatever it is the protocol. But machines consuming internet is gonna be very different than human consuming internet. Human consuming internet would be through UI. Machine consuming internet is u- is, is through programming interface. That's the huge shift that we, we are now capturing and powering and making sure the enterprise, um, think about AI connectivity. And at the end of the day, behind the scene, it's all APIs.

    29. MC

      We, you know, we had that board meeting, what was it, yesterday?

    30. AM

      Yes.

  15. 28:5234:27

    AI, APIs, and the Future of Connectivity

    1. MC

      many more banal use cases there are around AI, right? We can talk about agents, and I think it's worth talking about, and I agree with you, but it also s- feels like there's, like, a lot of just basic stuff like, like key management for... You know, like a lot of the companies are spending a lot of money on these AI models, right? So it's great to be able to have like, you know, monitoring, billing, key rotations, all of that stuff. So are you actually seeing like a non-agentic draft now?

    2. AM

      Yeah. I think, I think... So where I think the, the, the world is a bit of stuck, okay, you have these AI companies like Poor that are just building models, yada, yada. And then, then you have this wrapper company that are trying to solve, you know, HR issue, whatever, through AI.

    3. MC

      Yeah.

    4. AM

      Then you have these LLMs that have APIs to talks, um, companies like Entropy, a lot of revenue through APIs, all that. What, what is missing is the infrastructure to make those, uh, those AI talks and run, and that's, that's what we do now with the AI Gate and a lot of products. But at the core, the boring problem, like you mentioned, authentication, authorization. You can be AGI as much as you want, but at the end, an agent gets stuck if it has to authenticate. And to authenticate, you gotta get an API key. You need a human in the loop to get the API key authenticate. But if you can provide infrastructure at the beginning, you can provision and auto- and automate key provision and key rotation authentication. So once you're there, you can unleash your LLM, your agents to just roam free.Without getting stuck every time for authentication, authorization, because you're already provisioning all these keys. I think that's where, that's where we want to our customers.

    5. MC

      So, so maybe just, just assume for this, this, this part of our discussion that whoever's listening is, is pretty familiar with AI, API infrastructure, right? Do you think that the way API infrastructure looks in six months or a year or two years is dramatically different because of AI? Or is it that the infrastructure that we have in place that we understand today evolves to also service agents in ways that are pretty obvious? Like, to what extent do you think this is like transformational in the infrastructure layer versus like more of a transition?

    6. AM

      I think you cannot do AI if you're not API first. It, it's just you don't have the mouth and the ears to a model. Um, and so that's how AI talks. So the way we know about API, API infrastructure, it will evolve, it won't-- it change, but API traffic and AI traffic, they're converging. So the classic API calls, yes, but also when you move tokens, it's an API call. And intelligent, let's say intelligent will be sold through tokens. Every earning release is about tokens. But behind in each tokens, there are calls. The payloads move tokens. So they're kind of converging, and what we are calling our building is a unified API and AI connectivity platform that it helps you navigate this transition as you're managing classic API traffic, as you're managing agent traffic, as you manage MCP traffic, as you manage LLM traffic. I think it will all converge into a unified like broker. And that's how I think intelligence will move, and, uh, based on evolutionary steps in like two, three years. But we already see MCP traffic growing every quarter.

    7. MC

      I mean, I see even like really basic things like for developers, this is evolving very quickly. So for example, you know, for fun, I develop using Cursor. Um, you know, I used to be a professional developer, you know, in a, in a previous life. Even knowing w-what APIs existed in a company required a ton of reading through docs or some weird search. And it feels like now, especially like if you have something like Kong, which, you know, has all the metadata and has the catalog, and then you can integrate into something like Cursor. And so not only does the agent itself know about the APIs, but you can expose it to you. I mean, it feels like a lot of, like even the development paradigm is shifting now because we can start to surface these, these things to developers.

    8. AM

      Yeah. I think, I think you can, you can think you can-- we can be an enabler to help large companies, small companies to, to get into the hands of more developers or more Cursor. Because it all start with API. We can provide you that infrastructures and, and, and all of that. Uh, we, as you see from yesterday morning, we have a, a very exciting roadmap that is going in all in that direction. Uh, so th-those are all enabled. I think h-here's the big bet. The big bet is i-- what happened in micro-- I, I, because I grew up in Italy, and you don't really study a lot of math, you just study history. But what you learn from history is that it doesn't exactly repeat, but it reads. It's just there's always an analogy. So you, you... So what we see with microservices, what happened? We, we first build rate limiting and authentication ten times, hundred times, fifty times into the Python framework, the JavaScript framework, the TypeScript framework, the Java framework, whatever, PHP, blah, blah, blah. At some point, it didn't make any sense. Let, let's abstract everything to a gateway pattern, and we move all this connectivity logic to the gateway and that dispatch to the right service, no matter what language. The same thing I think is gonna happen in LLMs. At first, you have one enterprise use one big LLMs. Now they're gonna use five, ten, hundred, small LLM, medium, large, whatever. Once you get to, you don't do tokens rate limiting, token authentication in each LLM using the framework, the lang chain, whatever. Eventually, w-- same thing happened in microservice, you will abstract that to a gateway pattern once again. And that's where I think AI gateway will have the, the same analogy and dispatcher to write connectivity logic to the right LLM versus rewriting in each LLM. I think that's the big bet that we make that happens in microservices, happens in how enterprise will run and govern

  16. 34:2737:23

    Lessons for Founders

    1. AM

      hundreds of LLMs.

    2. MC

      Great. Well, listen, as we wrap this up, I think it'd be great to kind of end with like any sort of recommendations for people that are listening to learn a bit more about how kind of AI is shifting the API landscape or maybe, you know, some advice on-

    3. AM

      Don't start a company. I'm joking. [laughing]

    4. MC

      [laughing] Maybe advi- advice on kind of like, you know, um, uh, you know, how to start thinking about getting ready for that.

    5. AM

      I think I said, I said before, like there is a lot of focus on model pre-training, tuning, all of that. But a key thing is the connectivity layer, how LLMs, agents, whatever, will talk to each other, how you run. I think a lot of the traffic will be very strategic, and you have to build in the, the startups or the enterprise to manage that AI connectivity into your next apps, your next internal tools, your next customers.

    6. MC

      And for the, uh, listen, the budding founders that are listening to like the most hardcore Silicon Valley-

    7. AM

      Do not pass go

    8. MC

      ... struggle story ever, [laughs] what advice do you give to them?

    9. AM

      I think what, what I learned over a decade of life-

    10. MC

      And do, do you ever think, I j- I just have to, do you ever think that like maybe you should have cut your losses and tried to start it over again? Like do you ever think that that would have been the right thing?

    11. AM

      Never.

    12. MC

      No.

    13. AM

      Never. Never. The, the reason is I could never visualize myself going back to the airport in Italy and my dad picking me up and say, "How's it going?" And it's just like would fail with my tails and my legs, like I could never-- I would have died here without food. Like I cannot do that.

    14. MC

      [laughs]

    15. AM

      And so that, that never crossed through, through the head.

    16. MC

      I had shivers. That was so good.

    17. AM

      But never. Like that's, that's the visual that every time I even start to... I, I had that visual and immediately say, "I'm not going back like that."

    18. MC

      Wow.

    19. AM

      And so, and then, but the, the thing to advise is it always take longer than what, uh, we thinks. Um, it is good to take a, a trend the last ten years, twenty years because you have time to grow into and do a lot of mistakes and building, and just you have to generally believe it in this trend versus following glitters because it's gonna take longer than what you think. As a leader, as a human, as a market, as a product, as a revenue, it's always gonna take longer. So take something that lasts and just put a hundred and ten percent on it every day, and then it will compound. Uh, keep the burn rate low in the early days.

    20. MC

      Don't die.

    21. AM

      Is ri-- don't die, like don't quit. Uh, those, those are, um, those, those are I think the things I learned along the way.

    22. MC

      Aghi, it's been a privilege and an honor working with you these past few years, and thanks so much for coming on the podcast.

    23. AM

      Likewise. Thank you, Martin. [outro music]

Episode duration: 37:29

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