In short
Delphi (Dara Ladjevardian’s company) builds “interactive digital minds” that let people represent themselves and share knowledge at scale, aiming to preserve human connection and trust in an AI era.
Guest background
Dara Ladjevardian is co-founder and CEO of Delphi. Previously he worked at C3 AI as a forward-deployed engineer and tinkered with LLM-based prototypes after getting early access to the GPT-3 developer community.
Key claims
Delphi’s advantage isn’t “AI clones” or commoditized self-help bots; it’s verified identity and trust (“who said what, and it’s true”). Humans still matter because relationships and mentorship drive impact. Delphi avoids building around transient tech trends (agents/assistants) and instead anchors on human representation and access.
Notable examples
Friday, a text-to-buy hackathon product (Uber Eats/Walmart/Amazon integration); digital advice “Helix” based on his grandfather; early PMF with parents buying household items; cold-start trust via big creators like Brandon Burchard; strict “guardrails/strict mode” to prevent hallucinations and press risk.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VONavigating the Pain of Product Development
1:21 to 2:45
Dara discusses the challenges faced in developing Delphi and the importance of perseverance.
“I want to bring it back to the beginning, which is our beginning.”
The Journey from Friday to Delphi
2:45 to 5:03
Dara explains his transition from working on Friday to starting Delphi and the pivotal moments involved.
“I joined OnDeck Catalyst to kind of figure out what I wanted to do next.”
Inspiration from Family and Mentorship
5:03 to 7:29
Dara shares how his grandfather's legacy and the need for mentorship influenced his entrepreneurial path.
“And in this book, he says that the mind is a hierarchy of pattern recognizers, where a pattern recognizer takes an input and produces an output.”
Building with AI: Opportunities and Challenges
7:29 to 9:45
Dara discusses the potential of AI and the challenges of innovation in a rapidly evolving tech landscape.
“Again, I didn't care much about e-commerce, but they were interested in me because I had worked on Friday.”
Defining the Purpose of Delphi
9:45 to 13:41
Dara elaborates on the vision for Delphi and the importance of human connection in their technology.
“Something else that you mentioned when you're even starting Friday and focusing on GPT-3, how did you know not to go into those other areas you mentioned, whether it was crypto or American dynamism?”
Exploring Human Connection Through AI
14:04 to 15:00
The discussion revolves around leveraging AI for creating digital representations of individuals to enhance human relationships.
“They want to represent themselves the same way someone creates a LinkedIn profile or a resume or writes a book.”
The Dual Paths of Delphi's Development
15:00 to 16:04
The speaker reflects on the two distinct paths for Delphi, focusing on relationships and knowledge scaling.
“This is something that we spoke about when you were working on your early memo.”
The Role of Individual IP in the Age of AI
16:04 to 17:51
A conversation on the importance of individual intellectual property and personal authenticity in a world dominated by AI and digital interactions.
“So is it an active bed of Delphi that you think IP, in this case, individual IP, will still continue to be very important even in the age of AI?”
The Expected Impact of Delphi on Learning
17:51 to 19:55
The potential for Delphi to reshape how people learn from trusted sources is discussed, emphasizing the importance of relationships in knowledge sharing.
“Like even if relationships are at the top of Maslow's hierarchy of needs, the fidelity of those relationships are still important.”
Navigating Challenges in Product Development
19:55 to 21:27
The speaker shares insights on the trials faced during Delphi's early product development and the importance of persistence.
“So you don't have to repeat their mistakes.”
Show all 20 chapters
Finding Inspiration While Building Delphi
21:27 to 22:50
The speaker discusses their approach to seeking inspiration and remaining true to their own vision while building Delphi.
“So I'm just like you just have to continue and survive.”
Adapting User Trust in a New Digital Brand
22:50 to 24:10
The conversation highlights the need for brands to gain trust, particularly in the context of Delphi's evolution and consumer acceptance.
“Have there been sort of like micro pivots within the journey so far?”
The Evolving Landscape of the Creator Economy
24:10 to 25:37
The speaker reflects on the changing dynamics of the creator economy and its implications for Delphi's positioning.
“Our business right now is a barbell approach where on one side we work with all these big creators.”
The Acceleration of Digital Connection
25:37 to 27:53
Discussion on the rapid changes in digital connection and how Delphi aims to leverage this acceleration for better user experiences.
“I believe we're in this acceleration period.”
The Challenge of Information Overload
27:53 to 28:06
The dialogue touches on the challenge of navigating content overload in the digital age and its impacts on users.
“The 10 blue links, instead of like you going out and like need to go click through each of those links to figure it out yourself, you're now getting like an answer.”
Exploring the Content Overload Problem
28:06 to 29:22
The discussion revolves around the overwhelming nature of content and social media, particularly Twitter, and how it affects information discovery.
“Like, you know, in some ways I enjoy like the rabbit hole digging of like the 10 blue links versus just getting the answer sometimes.”
Future Use Cases for Delphi
29:23 to 31:08
Insights into potential future applications of Delphi and how social networks can evolve back to their original purpose.
“The initial purpose of social networks was to find people and insights, and now it's the endless dopamine feed.”
Delphi's Utility for Everyday Users
31:09 to 32:36
Discussion on how everyday users can utilize Delphi for information gathering and personalized interactions.
“Some consumer products will just go straight for the network.”
Ensuring Trustworthiness in Delphi
32:37 to 34:59
Exploring measures Delphi takes to maintain trust and reliability in its interactions and responses.
“something that doesn't have a 30 minute cutoff you actually are more comfortable asking more questions.”
The Vision Behind Delphi
35:00 to 36:50
A look into the macro vision for Delphi, emphasizing the importance of human connections in an AI-driven world.
“So is there like a hand-on, hand-off effect where like, let's say a Delphi is speaking with someone interesting, like, could you get a notification and then you hop in instead of your Delphi?”
Transcript
Automatic transcript. May contain errors.0:00I want to invent something that was not possible before. I'm interested in creating something new. And no one wanted our product. It was really painful. But then we had our first big believer, Brandon Burchard, this coach with a million followers. And he was kind of our evangelist. And a lot of other people heard about Delphi. More people came. More people came. At every stage, you're refinding product market fit in new user groups. I'm glad I went through that because I'm almost like it's supposed to feel like that for every user group. There's one version of you that gives up and pivots. And the amount of companies that have tried Delphi's idea that pivot four months later, because it's really painful to make work, is so many.
0:37So I'm just like, you just have to continue and survive.
0:49Sumeet Singh:My guest today is Dara Lajavardian, the co-founder and CEO of Delphi. Delphi is redefining how knowledge is shared by creating a new medium for human communication, interactive digital minds that allow you to scale your presence and allow others to learn from the best. Dara and I first met when he was building his first company, and we later strategized on how to leverage human psychology to build Delphi. In this episode, we talk about why human connection is still so important in this age of AI, how Dara knew he had to go all in on Delphi, and what principles got him. Enjoy the show. Hey, Dara, how are you?
1:23Sumeet Singh:It's me. I'm great. How are you? I'm great. I'm great. Hoya Saxa. Great to be here in the same city. Hoya Saxa. Yes, sir. I want to bring it back to the beginning, which is our beginning. I literally remember being on the phone with you. It was the middle of COVID. You were tinkering on ideas. I think I had reached out to you because there's not many people from Georgetown that are in startups. And I remember being impressed by you and just wanted to get to know you. And you told me about the e-commerce idea that you were working on at the time, Friday. Friday. I'd actually love to hear a little bit about what was the decision to go after Friday, to stop, to join OpenStore, to then leave and start Delphi.
1:59Sumeet Singh:I'd love to understand what was going through your head in those really pivotal moments. It was a very nonlinear path. I was working at C3 AI as a forward deployed engineer. Before it was cool. Before it was cool. I mean, this was really unsexy AI. It was predictive maintenance for oil rigs or turning text on papers into PDFs. Not as sexy, but I got early access to the GPT-3 developer list. And there was a community of people on Twitter that were building experiments, Jordan Singer, a couple of people. And there was some hype. And at the time, everyone was obsessed with crypto. So crypto and American dynamism were the hot things in tech, and LLMs were kind of like the weird, like, what is that?
2:43Sumeet Singh:But I can tell you it was not a main topic of discussion in our firm at the time. But American Dynamism were. Yeah. I mean, I was tempted. I joined OnDeck Catalyst to kind of figure out what I wanted to do next. And I definitely had shiny object syndrome. I'm like, all my friends are making so much money in crypto. Right. Like, should I be joining Olympus DAO or any of these other things? Yes. Yeah. But I decided to just like start building things and tinkering. And one of those first things, I was on Uber Eats. And the UX of Uber Eats is not great. I was like, I wish I could just buy anything with a text.
3:16I wish I could just text something. So for the On Deck Hackathon, we built Friday, which was literally that, connected to Uber Eats, Amazon, and Walmart, where you could text a phone number and it would buy it for you. And it went kind of viral on Twitter. And at the time, I mistook virality for success, which is not a mistake people should make. But it kind of kick-started my journey.
3:37Sumeet Singh:I was like, I should start this company. Did it give you enough signal to say, hey, actually choosing LLMs instead of these other catalysts to build upon is interesting? Yeah, yeah. I think when you first get into startups, external validation has a role. And at the time, for me, I had quit my job. I had no money. I slept out of my car for a week. So I was mentally really anxious. And this got a lot of virality. And I was like, I'm going to start this company. So I was super focused on Friday and was talking to users. I was very lonely at the time. I didn't really know many people in the tech area.
4:10I didn't really have any mentors. Right. You were working at this big company, not this inner circle of startup. I wasn't in the scene. I wasn't the guy who was going to happy hours like a lot of people do these days. And my dad had been pushing me to read a book about my grandfather for so long because my grandfather was like this titan in Iran before the revolution, had 30 ,000 employees at his peak. And it was during this time I was like, you know what? I was super stressed. And I was like, maybe I can find like a little bit of wisdom in someone who's like my family. And so I read his book and I loved it, not just because he was like a legend, but it was very much about his principles.
4:46And I wanted to be able to ask him, like, how could I apply these principles to my own? To your founding journey. To my own founding journey in AI. He was like in textiles and oils. He had had a stroke, so I couldn't ask him directly myself. But there was a book that kickstarted my career in tech, and it was called How to Create a Mind by Ray Kurzweil. And in this book, he says that the mind is a hierarchy of pattern recognizers, where a pattern recognizer takes an input and produces an output. And if you can stitch a bunch together, you can recreate the mind. Right. Like a token. Yeah, like a token.
5:16LOMs, prompt, output. And I was like, I can do this with my grandfather. Right. So I started doing a bunch of research. You know, there's people who created like a polygram bot. This was like while you were still doing it on Friday. While I was still working on Friday. Got it. Yeah, yeah, yeah. And I ended up creating a digital where my grandfather used it for advice. I actually was so excited about this idea that I almost almost ditched Friday and I built this thing called Helix at the next on deck hackathon. Okay. Got a lot. The hackathons were a good forcing function to like get to go from idea.
5:46Totally. This weekend I'm just going to build this. Yeah. Got a lot of hate on Twitter for that one. People were like this is immoral. This is stupid. It was also very expensive. So I was like I'm not going to start this company. I'm just going to continue working on Friday. A couple months into Friday I had like minor PMF with parents like people who are using it to buy like paper towels staplers it's so busy but i was like i don't care about this idea at all like i'm so not passionate and like i'm thinking about this other
6:11Sumeet Singh:idea well one had like real a real emotional connection and real emotional value for you versus oh this is an interesting technology catalyst i can build upon yeah which is of course important for startups but you know i i ask a lot about the why like when it drives you to the late Saturday nights, you're alone. You're thinking about the work. Right. Especially in this day and age when the cost of software is going to zero. To me, motivation matters more than anything. Why will you go through the near death moment? Why will you shatter through the glass ceilings? You need to have that emotional...
6:43Sumeet Singh:You need the fire. And so I had gotten an acquisition offer from a YC company, but they wanted me to come work for them. And I was like, I don't want to do that. So I shopped around. Was that because you knew you wanted to be an entrepreneur, that you didn't want a boss necessarily? I had a very specific idea of what I needed to do next. I wanted to go work somewhere where I would find a co-founder. So the culture needed to be a talent magnet. But the number one thing was actually I wanted to have a mentor. I wanted to learn from someone who was really respected and the best. You wanted to see what great looks like.
7:20I wanted to see what great for Friday who just wanted to buy the asset versus me. And I found OpenStore, Keith or Boy was the founder. Again, I didn't care much about e-commerce, but they were interested in me because I had worked on Friday. And I ended up moving to Miami to work for Keith so I could learn as much as I possibly could. And six months into working at OpenStore, I had built a bot of Tony Fidel because we were reading Build in our book club. And I was like, this is a lot cheaper than last time. And there's like a new paper on Twitter every week. And a learning lesson from Keith, where he says he only invests in companies where the majority of people laugh at him.
8:06I was like, maybe the fact that everyone was sending me death threats is actually why I should double click into this idea. It's a new category. Why is it so visceral? Yeah, it's a new category. Like Airbnb, Uber, like every category that was new, people thought was weird. By the time people think it's normal, by the time there's a market map, it's too late. So I was like, I got really motivated by Keith's mentality of looking at the world. I was like, oh, like this is something new. And I like, it's up to me to will it into existence. So a month before ChatGPT came out, left OpenStore, started Delphi.
8:37Sumeet Singh:Great timing. Great timing. When it comes to, I'd love to double click on that sort of, you know, the, what ends up becoming these mainstream consumer applications, marketplaces, et cetera. do get, you do get sort of weird looks in the beginning or... We still get weird looks. Yeah, you still get weird looks to this day. Like, why do you think that is? Like, why do people actually have that sort of visceral reaction at, you know, an adverse visceral reaction? And why do you think that is? I think all these things where people have an adverse visceral reaction involves some sort of social layer.
9:08Like you are being perceived in another way or you're interacting with someone like Uber, you're getting in a stranger's car, Instagram, posting photos online, like how cringe, like YouTube, posting videos online. You're creating a new kind of social contract, and people are very anxious about their reputation and self-conscious. But then if you just try to simulate what it must have been like to move from a society where we only shared knowledge by speaking to each other to like I'm reading someone's thoughts. Yeah, why wouldn't I just go talk to you? That's so inauthentic. Right. Like why would I read someone's thoughts?
9:37Why would I listen to someone's thoughts? And you almost can imagine that people had the same reaction, and then it became normalized. Mm-hmm. Mm-hmm.
9:45Sumeet Singh:Yeah. That's interesting. Something else that you mentioned when you're even starting Friday and focusing on GPT-3, how did you know not to go into those other areas you mentioned, whether it was crypto or American dynamism? Was it that, hey, there's just way too many people focused on this, and so there's no secrets to be earned? No. Was it the emotional connection to realizing, wait, actually, these language models, I can actually do something that has an emotional tie to something I've been thinking about, like with your grandfather? I'm curious how you knew to make that decision. It was kind of by accident.
10:20When I left C3, I actually applied to YC with a co-founder at the time. We were building anomaly detection systems for satellites. So it was literally American dynamism. He moved to Hawaii. So I was like, okay, this idea isn't going to work. And I also know nothing about satellites. I need to find experts. And then I then built a token tracker, a bot that joined every single Discord channel and would track how often a token was being mentioned. I wanted to make some money. I lost a ton of money. And then I was like, you know what? Crypto is not my thing. I'm going to lose a lot of money in this space.
10:56American Dynamism, I just don't have the network. LLMs, I can build. Like I'm building this pretty fast. Yeah, and you were a Ford template engineer. Ford template engineer. I built like a bot that allowed me to buy crypto through techs. I built a bot that connected my Neurosity device to order Uber Eats whenever I felt the sentiment of Hungary. So I was like, LLMs allow you to just build all these really cool things.
11:18Sumeet Singh:Yeah. In a way that's actually useful and meaningful. Yeah. Interesting. And when it came to, I guess like even leaving C3, right? You're serving these enterprise customers as a forward deployed engineer, working with some of those industries that you mentioned. Why build a consumer product? I just think it's more fun. I think there's like such thing as founder market fit and like i'm kind of a creative in a way i also like like to move very fast i think the thing at c3 that i didn't love was just like the slow cycles um bureaucracy you don't really get to be creative you're solving someone else's problem and i remember in on deck uh you write your goals at the beginning and one of the goals that i had is i want to invent something that was not possible before like i literally wrote that down like i want i'm interested in creating something new And I think that's like a double-edged sword of mine where I've always wanted to do something that was different, which puts me down the path of most resistance and hardship.
12:18But that's just, I think, kind of how I am.
12:20Sumeet Singh:Yeah. No, that idea of building something new is something that I think a lot about here at WorldBuild, which is I think a lot of the applications in AI are very skeuomorphic. It's very much the beer-drinking app version of the iPhone apps. What I think is more compelling is post-skeuomorphic. You start first with the nuances of these models. Like, what can we uniquely do today with models that was literally not possible before to create these new experiences and workflows? How has that evolved since, you know, sort of day zero at Delphi to today, you know, within the acceleration is what I call it that we're in now.
12:55I mean, it's funny because when I reflect on day zero at Delphi, it feels like we're in a different reality. Like, I don't know about you. It just feels like we've jumped dimensions.
13:03Sumeet Singh:and like... Well, I remember literally talking to you the first time you're getting started, jamming on the memo. And to get to today, yeah, it totally feels like a different time. Different time. And a lot of things have changed. There have been a lot of distractions, a lot of shiny objects. I think with a company like Delphi, especially when you're building during a time when things are changing so fast, you want to anchor on the things that are not going to change. That has kind of been my north compass. People trying to pull us into building an agent assistant or people trying to pull us into like building Clodbot.
13:34Right, right. It's a hot thing today. It's like the hot thing. It's like, okay, what is not going to change? Humans are going to exist. They're going to need representation. Humans care about what other humans have to say. Let's anchor on those things and see how AI can help us solve this problem versus anchor our entire company around the technology.
13:52Sumeet Singh:Yeah. When did that become clear to you? Because in the beginning, right, it started as, hey, let's tinker on this technology to then actually wait a second. here's the company that we want to build and this technology will propel us forward not vice versa well it was kind of around the problem of access you know i didn't want to start a company around like death tech and legacy so i think that thing like monetizing grief is kind of dark but my grandfather was like how do we access other human beings i've like never had mentors my whole life and now i can learn from these people but then character i came out and i was like hmm character i is gonna have issues because it's like all fake it's a bunch of characters So like, okay, for Delphi to win, we actually need to build a product that incentivizes people to create digital versions of themselves.
14:35Why would someone do that? They want to represent themselves the same way someone creates a LinkedIn profile or a resume or writes a book. They want to scale their knowledge. So that was kind of the idea maze where it's like, okay, first let's go consumer. But actually, if you're thinking long term, we need to create the incentives first to collect the data and get people bought in.
14:51Sumeet Singh:Yeah. And interestingly, maybe, you know, this will get a little specific, but we had talked about, hey, relationships are at the top of Maslow's hierarchy of needs. Yes. This is something that we spoke about when you were working on your early memo. And, you know, we jammed on that creatively. But interestingly, like, you know, there is almost like two paths of Delphi, right? One was the more characterized companion, digital clones, relationships path versus the more utilitarian path around helping me scale my audience, my reach, but then also helping someone learn something new. Are those two different paths?
15:26Sumeet Singh:How did you think about that? The way I make decisions usually is what leads to the biggest outcome and usually what is the hardest, unfortunately. The hardest, yes. The first path probably would have been easier, but I think commoditized. You can make self-help bots. And when knowledge is commoditized, what you can't really compete with is trust and owning the identity layer. And so by creating the utility of having a Delphi, we actually end up doing the first thing in the long term. Because we end up getting all the best people you could possibly want to learn from the world. And it's verified, so you know it's them.
16:01You trust it more, and then we can recommend you the best people. And it can help you that way.
16:05Sumeet Singh:Yeah. So is it an active bed of Delphi that you think IP, in this case, individual IP, will still continue to be very important even in the age of AI? Yeah. What can't get commoditized? Real things, real estate, people. And people have... Delphi is a verified version of you when all these social media platforms have deep fakes and bots. We want Delphi to be the place where you know who said what, and I know it's true. But do you think like AI breaks IP or do you think IP will always, you know, have importance? And in this case for Delphi, right, IP is the individual's IP. Yeah. Right. In other cases, it's, you know, we've seen, you know, Disney go after folks, right?
16:44Sumeet Singh:Like just curious to get your thoughts on this because I think you do touch, you know, again, individual IP, maybe not, you know, a creative studio, but perhaps you could scale that one day. Yeah, I mean, I think about IP. Right now, IP is something that is like a rare, where I think IP grows into perspective. You care about what certain people have to face. You follow people on Twitter, even though you could probably learn everything you possibly could learn on Chachi. We're having this podcast because there's another human. So it's almost not that I'm owning my IP and then I'm going to sell it, but this is just a digital version of me that you know is true.
17:18This is how I want to be perceived in the world. And so the humanity of it, the human connection still matters. That's our bet. Yeah. That is kind of the bare case of Delphi is we don't care about humans anymore. That's when people ask you, like, why does Delphi fail? And it's like, Delphi fails if we end up in a world where we're just talking to Chachi BT and we're just talking to Claude and we actually don't care what anyone else has to say. We don't meet each other. We're not curious about each other. I don't think that's going to happen if you just look at, like, human psychology and habits over time.
17:49But I'm an optimist. So we shall see. Yeah.
17:53Sumeet Singh:Well, it's interesting, right? Like even if relationships are at the top of Maslow's hierarchy of needs, the fidelity of those relationships are still important. So, you know, I think you're, you know, from what it sounds like, it's, you know, maybe a similar bet to some of the companion apps, but you're much higher fidelity than a made up character in that, hey, this is someone that I look up to. This is someone that I respect. This is someone that I want to learn from. Or meet. Or meet. Delphi is how humans represent themselves, but also how people meet. Like eventually, you know, Delphi talking to Delphi.
18:18Sure. This is the person who thinks most similarly to you. But I think the insight with my grandfather is an important one. It's not that his clone said anything to me that was so profound that helped me. It was the fact that it came from someone that I trusted and I was more likely to absorb it and adopt it. Because I could have read that information anywhere. It would have been like in a self-help book. But like hearing information from someone you know and trust, I don't know, it had a bigger impact on me. And so I think similarly mentors or people have impact on each other.
18:49Sumeet Singh:We talked a little bit about this sort of like adverse visceral reaction to new consumer platforms in the early days. What's like the positive version of that when someone uses Delphi for the first time, whether it's someone who's trying to create a digital mind of themselves or, you know, a customer? What's the visceral reaction that you want to induce? I think for the person who is creating a Delphi, it's almost like never repeat yourself again and only spend time on things that matter. So examples is you talk to someone's Delphi before you meet with them, and they already kind of know everything about you, and you can just talk about new things.
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19:25Or all the people who want to get your time and pick your brain, you don't want to ghost them. You don't want to have FOMO. So you can still help them, and you'll be notified of someone interesting. So you can help more people and scale yourself without feeling that, like, oh, my calendar, or I feel bad. And you kind of focus on the people that matter. And then for the consumer, it's just access that wasn't there before. I think chat GPT is teaching people to expect information through conversation. And Delphi allows you to do that with people and allows you to get perspective from those who have been in your shoes before.
19:55So you don't have to repeat their mistakes.
19:57Sumeet Singh:Right. Interestingly, yeah, the consumer behavior is being led by something that's in the hands of close to a billion people. Yes. Same with the dot-com era. The dot-com era taught us to read information on the Internet. Then you had the creator economy and blogs. Right. So the pendulum swings from new form of consuming information to consuming information by human verified locations. Right. Fascinating. As Delphi has evolved from a product perspective, how important was it to get to that sort of visceral reaction? Is that something you were sort of targeting? Or what was the North Star from a product perspective?
20:32I'm really stubborn. I don't know if I necessarily did it the right way. For the first year of the company, it was all intuition-based product and just like, this is what I want to build. And no one wanted our product. It was really painful. Probably should have pivoted. Probably should have been a lot more data-driven. But then we had our first big believer, Brandon Burchard, this coach with a million followers. And he was kind of our evangelist. And a lot of other people heard about Delphi. More people came. More people came. New kinds of people started to get utility out of it. And so it just kind of happened through sheer will and persistence.
21:06And at every stage, you're refinding product market fit in new user groups. And I'm glad I went through that because I'm almost like it's supposed to feel like that for every user group. There's one version of you that gives up and pivots. And the amount of companies that have tried Delphi's idea that pivot four months later because it's really painful to make work is so many. So I'm just like you just have to continue and survive.
21:31Sumeet Singh:You have to survive. Yeah, that's, you know, there are these like different archetypes of founders that I look for. I think the survivor is one, the maverick is another, the world builder is another. World building is something that you've taken on from the beginning. What inspires you as you're building Delphi's world? Like, who are you inspired by? What inspires you? You said you're creative, right? I try to... And sorry, where do you look for inspiration as well? That's a good question. To be honest, I try not to look for inspiration. Keith has a favorite quote from Margaret Thatcher. Say what you will about Margaret Thatcher, but it's like, I don't read the newspapers.
22:06I don't want them to change my mind. And I feel like the worst decisions I've made have come from me listening to a podcast with a more successful founder or a VC or reading Twitter and changing my mind and going towards the norm where my only advantage as a founder in Silicon Valley is doing things my way. Obviously, you've got to layer it with data. I think data is really important, and this is what Tony Fidel's entire book is about, matching intuition with data. But I try to lead through intuition and then kind of iterate based on feedback. And I think the world of Delphi, when you're creating a new category, it's like the future is not determined.
22:47You get to choose how it manifests.
22:49Sumeet Singh:Have there been any, you mentioned those ideas of things that you didn't go after. Have there been sort of like micro pivots within the journey so far? Like I call them the lowercase p pivots, right? Like not the pivot that you read about in the news or not the pivot that, you know, changes the entire company entirely, but these micro pivots that lead you into new directions. Yeah, there were kind of four. I mean, it was almost like the long-term vision was always there. The how is like bumpy. And so initially, we were building the consumer platform that was kind of like Character AI, build clones of people.
23:21And we called it clones. We called it clones. We got cease and desist. I had this huge realization. I was like, oh, Delphi needs to be a beloved brand. We need to be a beloved brand because people are trusting us with their data. They're trusting us to represent them. We need to be like, wow, Delphi, aspirational. And it's a new modality, right?
23:38Sumeet Singh:Yeah, it's a new what we talked about against the – or the visceral – adverse visceral reaction people have to new consumer platforms. Like you have to really like make it comfortable for them to use. Totally. I mean, we're fighting against human psychology here. So like, okay, focus on utility, get rid of the word clones. Let's focus on people who already have a lot of trust because one of the ways you get trust as a startup is borrowing other people's trust. And so creators, experts, people with large followings, that's how Delphi through osmosis adopted trust and kind of became - It's all for the cold start.
24:09Yeah. It's all for the cold start. You work with the people. Our business right now is a barbell approach where on one side we work with all these big creators. On the other side, we're focused on the free tier use case of professional CEO creates a Delphi. So you're always on front door. Someone wants to pick your brain, talk to you before meeting you.
24:25Sumeet Singh:I think I've mentioned my cousin who's a dentist in London, and he has a podcast. He does courses all around the world for the very specific type of dentistry that he does, which I won't get into because it goes over my head. But we were chatting and he's like, oh, I made this digital mind in myself. And I'm looking and I'm like, you made a Delphi? Let's go. And it was just fascinating that I touched this dentist in London, right, who's not Arnold Schwarzenegger, who's not these celebrities that you have on the platform. But it's a new step in this creator economy, which I think still has a bad, maybe not a bad, but a negative connotation associated with it.
25:02Sumeet Singh:but like it's actually led to, I think like deep value, whether it's through the Patreons of the world, whether it's through YouTube. Totally. Like, yeah, like how do you think about the creator economy today? Some of our users don't like to be called creators, like experts, business owners, like anyone is an expert in something. We all know something. And, you know, you can argue that because of AI, everyone's going to be like a solopreneur and like building their own niche and building their own thing. So I don't know if long-term like Delphi is a creator company. I think we're just like a human company and some humans are creators, some humans are experts, some humans are professionals.
25:36Sumeet Singh:Maybe to switch gears a little bit, I believe we're in this acceleration period. We're in the acceleration now. Yes. And if you don't get the Marvel reference, go watch The Avengers Endgame. What do you think comes next for Delphi? How do you take advantage of this acceleration? I mean, there's kind of two sides to this. One is you got to stay grounded. You got to stay grounded or else you're going to build all these features. Everyone's asking us to build MCP and build all these things. And what you say no to is as important as to what you say yes to. And I could be wrong in that. You see Lovable building every product ever.
26:12And a lot of these companies, I could be wrong. Maybe that's the right way to go. But for Delphi specifically, it's just like, I want to be the best in the world. It's one thing. And so the models help us build better architecture, evals, cheaper. So we don't need to worry about pricing, for example. We're not pricing on usage. We don't want to -
26:30Sumeet Singh:You benefited from the cost curve. Yeah, and also we don't want to block usage. That's the whole purpose of the platform. So it allows us to think more ambitiously about the product roadmap. I think for us, we want to make it really easy to create a Delphi, trust a Delphi, get value from that Delphi. And once people are sharing Delphi links more often, the product grows through PLG. And once enough people have a Delphi, we have a network of human minds where you can find the best person in the world for whatever you're looking for. And there's a lot of use cases on top of human search that you can build.
27:01Sumeet Singh:And you mentioned Delphi's talking to each other. Yeah. Is that something that's already happening today? Not yet. That's where we want to go. Your Delphi talks to other Delphi's and says, this is the most interesting insights from this person. This is someone you should probably continue the conversation with. This is someone you should meet with in real life. So it truly is a human connection company. Yeah. Human connection and insight. Right. I think in many ways it increases the access for, A, that could be the new sort of entrepreneur who needs to connect with, or almost like you could get into like the matchmaking world as well.
27:35Sumeet Singh:Totally, not dating. We don't mean dating. Yeah, but from a knowledge perspective, right? I mean, I think the internet made the world so big. Like it used to just be your town and then it became 6 billion people. And I think the promise of AI is it actually makes it small again. You don't have to have like the optionality crisis of, oh my God, there's so many opportunities out there. And like, no, these are the best opportunities. Find the needle in the haystack. Right. Interesting. Yeah. The 10 blue links, instead of like you going out and like need to go click through each of those links to figure it out yourself, you're now getting like an answer.
28:06Sumeet Singh:Yeah. How do you think about that? Like, you know, in some ways I enjoy like the rabbit hole digging of like the 10 blue links versus just getting the answer sometimes. Curious, like what's your sort of hypothesis there? Well, I think as a VC, that's kind of like your job. Yeah. Some people love to go down the rabbit hole, but like, I don't know about you, but there's just been an explosion in content. It's hard. Like I used to check Twitter every day. Now I'm almost have like a visceral reaction to Twitter because - Oh, I can't keep up with my - People have reverse engineered the algorithm and launch videos every day.
28:35And it's almost like, no, I can't, I can't do it. But I'm sure there's something that I would like. I'm sure there's a podcast, a blog, a person that I'm missing out on, but Twitter is like unusable as a discovery platform anymore. At least for me.
28:47Sumeet Singh:Right. Yeah, there's actually almost too much content. Yeah. Like I said, I can't keep up with my bookmarks anymore. But I have a little bit of FOMO because I'm like, there must... Like three years ago, there was a Twitter post that led me to hiring someone. There was a Twitter post that made me to actually meeting one of my best friends. So I don't want to miss out on those things. That may have been how I found you. It was either that or LinkedIn. It's probably Twitter. Yeah. I've met many great people through Twitter. Yeah. Or used to it, at least. Yeah, exactly. What do you think is the most long-tail use case of Delphi five years from now that you're not necessarily planning for but you could see happening?
29:22Oh, man. The initial purpose of social networks was to find people and insights, and now it's the endless dopamine feed. I'm hoping that the endless dopamine feed is kind of like cigarettes on airplanes where that's not a thing we do anymore, and it goes back to finding insights in people. And I think if Delphi is successful, that's the platform where people do it.
29:45Sumeet Singh:You know, as Delphi progresses from a product perspective, but also a customer perspective, you know, I think something that a lot of people are thinking about is, wow, like what if the models end up subsuming a lot of the value that I'm creating as they get more capable? Where do you think Delphi will start and stop versus the model providers? I mean, I think eventually we will train our own models. Like eventually. It just doesn't make sense right now because every year it gets cheaper to do that. And we want to be the best in representing the mind. So our research problem is how do you represent the human mind?
30:17It's a data architecture problem. It's an eval problem. It's a retrieval problem. So it's architecture. And I guess people are calling it harness these days. But it's like harness is just a word for how you store and use the data. So yeah, I think we try to focus on architecture. And as AI gets better and better, the things you can't compete with are network effects, trust, identity, normalizing a new social behavior. I think two companies that did this very well are Calendly and Loom. You have better products than both of those companies, but those companies normalize the behavior of sending those links.
30:51And when you normalize a new social behavior, you kind of become synonymous with it.
30:55Sumeet Singh:Is that sort of what it takes to build a successful consumer product? You get bigger booms in consumer products, but you also get a lot more sort of bus versus enterprise. Yeah. I mean, I think we're taking a slightly different approach. Some consumer products will just go straight for the network. I believe that the network is more enduring when the individual unit has utility. So if you think about Clubhouse or Be Real, it was reliant on the network that was existing. Where Delphi is single player. But because it's single player, it will be more enduring when there's a network. There's a real utility around it.
31:30Sumeet Singh:Yeah. That utility then leads to the network. Yeah. People that get onboarded because the network also get single player utility. Yeah. And so that's a sort of reinforcing effect there. Exactly. Yeah. Interesting. You know, as you scale Delphi, as you go from the handful of celebrities, creators to the long tail, I'm curious, like, how does the everyday person use Delphi? Yeah. Yeah. I mean, the big creators, it's kind of obvious, you know, they use books and courses to scale themselves and now they can scale themselves in a way that they would be, they're in the same room. Right. For them, it's a new modality for an existing behavior.
32:06Yeah. And I would argue it's the same for the individual. You know, when I, when you meet someone, how do you, how do you learn about them? You look at their LinkedIn profile, you look at their resume, look at their personal website. And so Delphi, the way people are using it is before meeting talk to my delphi it'll handle the repetitive questions and we can talk about deeper or hey like i'm super busy right now you can start here with my delphi it can pretty much answer any of the questions that you have and like it might sound offensive at first but we actually find is consumers like it because when you're talking to something that doesn't have a 30 minute cutoff you actually are more comfortable asking more questions.
32:45And I'll be notified whether we should hop on a call. So for me specifically, a journalist who's about to write a piece on Delphi or an engineer or a VC or someone, my mind finds that I would find interesting. It's a qualification in a screen in a way. Okay. And so someone's Delphi would be doing that for them. And you can set that up basically. Yeah. Whether you're a VC or a founder. And then also for people who just post online, Substack, Beehive. There's just a new ICP of a consumer who won't read anymore. They won't listen to podcasts. And they have just low attention span, but they're still curious in what was there.
33:23And so Delphi just allows them to engage with the content in a new way.
33:27Sumeet Singh:You get the banter of a sort of voice assistant, but it's actually information gathering, that thing that you would have read on the podcast. Exactly. It's banter. And personalized to you. Ideally, over time, the more Delphi's you talk to, we know the specific parts of the podcast that are really interesting to you. Yeah, so how is it set up then? Yeah, we find everything about you online. You can connect your socials, Notion. But if you don't have any data, we have this interviewer that will ask you questions about yourself to create your mind. And the mind gets sort of deeper and deeper over time with more usage.
34:02There's breadth and depth. I mean, like you can go, mine's super deep in Delphi, not as deep in like my personal life, which you could add if you wanted to.
34:10Sumeet Singh:And, you know, when, let's say I was to, you know, interview your Delphi here instead of you, would you be, how do you think about sort of like the hallucinations, right? Like how do you ensure that, hey, I can trust this Delphi to speak on my behalf on this podcast? You should do it. I have full faith as a test. This was kind of the first problem we had to solve. You know, everyone's big fear. Our platform is fully reliant on trust. Breaks the trust, everything breaks. And so people's fear, what if it says something wrong? What if someone takes a screenshot and sends it to the press or roasts me on Twitter?
34:45And that was kind of like the first thing we had to solve or else no one would adopt our product. So we have like very strict guardrails. We have a strict mode where it will only say things it's trained on. You can customize what it says when it doesn't know, and you'll be notified every time. So you can actually go in and see and like improve it if you want to.
35:01Sumeet Singh:So is there like a hand-on, hand-off effect where like, let's say a Delphi is speaking with someone interesting, like, could you get a notification and then you hop in instead of your Delphi? Yeah, yeah. So you can set these alerts for like, you know, again, journalists, hire. Right. And then you could say, hey, this is not my Delphi. This is Dara. Let's try it. Yeah, exactly. Text me. Text me. And can you do that through the platform? Yeah, you can do that through the platform. Yeah. Very cool. Well, it's been great. I think one thing that I'd love to end the conversation on is really to understand what is the world that you're trying to build uniquely.
35:35Sumeet Singh:What are you trying to prove? What's the world you're trying to build? Well, I think from a macro perspective, given our thesis is a world where humans still matter. Delphi kind of makes humans the main characters. Again, where AI is the main character right now. We put AI in the hands of the human and you get to use your Delphi to find the best opportunities. And in this world where, you know, yes, you can get information from chat, GBT, but like how do we maintain a human world is like we learn from each other. We share perspectives. We see both sides of the spectrum, opinions, and we find the best people.
36:20We create human connection. Say what you will about AI friends. I'm not going to make a comment, but I think the best future is where we have real friends. So I think that's kind of the world we're building. Yes, from a category perspective, I view Delphi as a new kind of artifact of your mind. The same way a song is, an art piece is, the same way a podcast is. It's a new form of media that's interactive and it's not dystopian. It's just a new way of experiencing you and accessing you so that you can spend your time with the people that actually matter. Yeah, love it. Well, thanks again, Dar. Thanks for having me.
From the publisher
Delphi has raised $16 million in a Series A led by Sequoia, with earlier backing from Founders Fund, Lux Capital, and others. Before Delphi, Dara founded Friday, a text-based commerce tool he built and sold within a year. He previously worked as a forward-deployed engineer at C3 AI and as a product engineer at OpenStore.
Sumeet Singh sits down with Dara to talk about the moment he knew he had to build Delphi, which started with trying to recreate his grandfather's mind using GPT-3. They cover why he chose LLMs over crypto and American dynamism, what it was like selling his first startup and joining OpenStore to find a mentor and co-founder, why human connection still matters when information is commoditized, how Delphi solved the trust problem that makes or breaks the entire platform, the micro-pivots that shaped the company, and what world Dara is trying to build.
If you have any questions about Delphi, you can talk to Dara's digital mind here: delphi.ai/dara
Delphi: https://delphi.ai
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