This Week in Startups - AI Demos! Cap table management platform, AI-powered job interviews, & more! | E1837

Episode Date: October 31, 2023

This Week in Startups is brought to you by… Arising Ventures - Head to http://arisingventures.com/TWIST to learn more and connect with the team Nuts.com is offering new customers a free gift with ...purchase and free shipping on orders of $29 or more at http://www.Nuts.com/twist Brave - Download today at https://brave.com/twist to browse faster, search privately and so much more * Today’s show: Sunny joins Jason for more demos! An AI-driven ownership and equity platform for founders (14:37), an AI interviewer who conducts live interviews (27:20), and much more! * Time stamps: (0:00) Sunny Madra joins Jason (6:08) Jason’s experience with ChatGPT multimodal (13:31) Arising Ventures - head to http://arisingventures.com/TWIST to learn more and connect with the team (14:37) Sunny demos Mantle, an AI-powered cap table management platform for founders (25:49) Nuts.com - Get a free gift with purchase and free shipping on orders of $29 or more at http://www.Nuts.com/twist (27:20) Sunny demos Talently.ai, an AI-powered job interviewer (39:37) Brave - Download today at https://brave.com/twist to browse faster, search privately and so much more (40:50) Sunny demos Morise.ai, a tool that helps YouTube creators generate titles, descriptions, and tags for videos! * Check out Mantle: https://withmantle.com Check out Talently AI: https://interview.talently.ai Check out Morise AI: https://morise.ai Follow Sunny: https://twitter.com/sundeep * Read LAUNCH Fund 4 Deal Memo: https://www.launch.co/four Apply for Funding: https://www.launch.co/apply Buy ANGEL: https://www.angelthebook.com Great 2023 interviews: Steve Huffman, Brian Chesky, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland, PrayingForExits, Jenny Lefcourt Check out Jason’s suite of newsletters: https://substack.com/@calacanis * Follow Jason: Twitter: https://twitter.com/jason Instagram: https://www.instagram.com/jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Follow TWiST: Substack: https://twistartups.substack.com Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin * Subscribe to the Founder University Podcast: https://www.founder.university/podcast

Transcript
Discussion (0)
Starting point is 00:00:00 They do have video ideas. And so I just dropped in, it's like, you know, one of the features that are kind of deeper in the product. So you give it your URL. Okay. And it gives you a video idea. Oh. And I guess decoding Tesla's energy plant. Wow.
Starting point is 00:00:15 With Elon Musk. Oh, okay. So just, oh, what a great idea. Get Elon Musk. Yeah. I was going to say. That's a little obvious, right? Okay.
Starting point is 00:00:22 What about Bezos? Yeah. Wow. Well done. Yeah. Brilliant. Great. Brilliant. Wow. Hey, Nick, let's do that. Yeah. Hey, Nick AI. We might get some views.
Starting point is 00:00:36 Yeah. I'll ask Larry Page and Sergey next. This week in startups is brought to you by Arising Ventures is a holding company that acquires tech startups facing setbacks. A rising ventures knows what founders care about because they aren't bankers. They are tech founders themselves. Go to a rising ventures.com slash twist today to learn more and connect with the team. Nuts.com is your one-stop shop for the highest quality foods for business. They offer delicious office snacks, corporate gifts, and wholesale ingredients. Nuts.com is offering new business customers a free gift with purchase and free shipping on orders of $125 or more at Nuts.com.
Starting point is 00:01:24 And Brave is an internet privacy company on a mission to protect your personal info online. Download Brave today at brave.com slash twist to browse faster, search privately, and so much more. All in a single click. All right, everybody, welcome back to this week in startups. It's Madra Monday. My friend, Sunny Madra is here from definitive intelligence. And we do our AI demo or die every Monday here. on this week in startups, except when I was in the region,
Starting point is 00:01:59 Inda, as we say, I came up with the new slang term, Inda. Because everybody, well, everybody says, oh, are you in the region? And I say, yes, I'm in the region. And then I was like, you know what, just say Inda, I-N-D-A. And it will be implied that it's the region. Oh, because you tweeted that and I didn't get what you saying. Yeah, and I'm trying to make it sign now. So if like, I thought you're actually in India when you tweeted that, Chase.
Starting point is 00:02:24 Yeah, no, no, no, no, no, no, it's much more subtle, much more subtle. But, I mean, what a trip. The stuff going on over there, the investment in AI, speaking of AI, and the investment in startups, whoof, they are, I mean, those societies, you know, we have all kinds of perceptions about them. And they're changing month by month now. You know, people are telling me, like, if you were here six months ago, this would have been different. If you were here 12 months ago, this would have been different. It's pretty, I have to say, I would dare I. use the word inspiring to see this rapid change.
Starting point is 00:02:57 Movie theaters, uh, women in all the meetings and music playing. I was in one place. There were, uh, cocktails, uh, you know, just things are moving at a very rapid rate and the commitment to startups is like nothing I've ever seen. Like, okay.
Starting point is 00:03:17 They have the startup bug like, um, I don't know even know how to explain it. Like they're into it like people in the U.S. are into like fantasy football or, you know, draft kings or something. Like it is a, it's like a cultural phenomenon. It's pervasive. Everybody wants to, you know, invest in startup, start companies. And it's very interesting. They don't say investment. They say ticket.
Starting point is 00:03:44 So what is your ticket size? Ticket. And I was like, I'm sorry, cricket, ticket, what? And so ticket size. So if you were to be in launch fund four or you were investing in a company. that they would just say, oh, what ticket size would you like? It's like a very nice, gracious way of saying, oh, I want to put $25,000 into that company.
Starting point is 00:04:00 Very interesting. Okay. And J-Cal, just for my education, top three companies in the space, like established one so that, you know, we can, that people like kind of are, you know, the entrepreneurs look up towards, right? Like, you know, we do. Yeah. So the one you'll know is Kareem, which was bought by Uber.
Starting point is 00:04:17 And, you know, I met the founder, C-A-R-E-M. It's like a super app. And so, It was bought by Uber, and then the Uber, I think, sold back, like, the non-Uber parts of it and the name. And then there's like a buy now, pay later company that's doing phenomenally well. That hit a billion dollar market cap. So there's a lot of companies, I wouldn't say exactly copycats, but, you know, regionalized startups that just haven't gotten there. And it turns out like buy now, pay later in the kingdom of Saudi Arabia or UAE.
Starting point is 00:04:50 Yeah. Like pretty great. These are incredible consumers. The Arpoo of these consumers is bonkers. Yeah. Bonkers. And like, I'm like, well, if they're rich, like, do they need to do four easy installments? Like, oh, well, you get a whatever you're going to get, you can, you know, stretch a little
Starting point is 00:05:06 bit and get something else slightly better. So just like you might in America, you know. I have a great story with the Kareem founder. I was at a conference once and we got putting a group together on this height that was like really insane in like the south of Germany. And, you know, basically he was him and I. for like three hours together. So we really had a good time.
Starting point is 00:05:24 Was it Magnus? No, no, the Kareem founder, I believe, Mudahir. Yeah, there's Moodyear and then there's Magnus. I know Magnus. Yeah. Oh, you want to hike with them? Yeah, that's great. Yeah, it was awesome.
Starting point is 00:05:37 They have like some things that they've done that, you know, you don't have an Uber and Lyft here. So when I opened the Kareem app when I was in UAE in Dubai, it had Clean My House. So you can press a button and have a cleaning person come to your house. So I was like, oh, that's kind of. interesting. Yeah. And supposedly,
Starting point is 00:05:53 yeah, supposedly Uber's going to have this isn't any inside information obviously. There was a story I saw in Apple News
Starting point is 00:06:02 just that they're testing some sort of task gravity kind of service. I don't have any confirmation of that just saw the news headline go by.
Starting point is 00:06:08 But let's get into AI. I have to tell you off the bat, I have started to get great utility out of chat GPT4's app
Starting point is 00:06:19 because of multimode mode. I will share on the screen right now. I've been getting back on my Peloton. You guys know I'm going to health kick. And so I'm trying to do like a zone two walking every day. So I just took a picture of the Peloton screen because I've been trying to get my information out of the Peloton.
Starting point is 00:06:36 It's kind of like a locked up system. It'll work with Apple, whatever. But I like to just put it in a Google sheet, right? I like to track my stuff in a Google sheet. Are you doing that like 30 minutes, 10 incline, 3 speed? I heard about this 30, 10, 5 or something. I don't know what it is. I think it's like 30, 10, 3, 3 miles per hour for 30 minutes at 10 incline or something.
Starting point is 00:06:58 Is that what you do? So I heard that this is what all the women in Hollywood are doing. This is some sort of way to get then. And I did literally somebody explained it to me as such. Is that what you're talking about? This Hollywood lose weight thing. I don't know. It's Hollywood.
Starting point is 00:07:13 I think like even I see like these fitness experts on Instagram doing it. Like guys are all over the place. Yeah. So Peter Attila, who I read his book, or I got them like two there so they threw it. He just says you should be in zone two. But I also like interval training because I kind of like sprinting. So it's kind of hard for me to get on the treadmill. And I love the Peloton tread.
Starting point is 00:07:35 But, you know, just getting the information out of there, like it's kind of a lock box. They don't have like really good interruptability. The software doesn't get updated. So I just took a picture of the screen here. Yeah. And I'm just doing this very gingerly walk in the morning. So you see there at 7 a.m. today. And I did 48 minutes.
Starting point is 00:07:49 and the workout was running on the tread. It was really walking. But if you scroll down, it just takes everything off the screen. Just I literally took a picture of the screen. Yeah. And I just asked it to summarize my workout. And it gave me my zones and how long I was in it.
Starting point is 00:08:03 Well, then I was like, oh, wait a second. I had pictures of the previous two days. So I uploaded those. And then I said, put all of them in a table. And then I made a second table. I said, and then average it. You love these tables. I'm a table guy.
Starting point is 00:08:15 I'm a table guy. Always have been. Always will be. I like a little structure in my life. Sorry. I like the grid system. I lived in Manhattan. You know, listen, I like the grid system.
Starting point is 00:08:22 What can I say? You know, it's pretty just numbers. You can see the differences. Wow, this is great. And I said just average it or whatever. And, you know, what I'm trying to do is get that zone two. So if you look at zone two, 61% of my time in the treadmill zone two, 26 is zone one. Yeah.
Starting point is 00:08:36 Where, like, some people say you should be in zone one because it doesn't spike your cortisol. But zone two does do a little cortisol, but also, you know, gives you a decent heart rate. You get to like 65%, 61% of your. heart rate or whatever it is. And so that's where I want to live. Yeah. And then I got a little bit in zone three because it's very hard to stay in one zone. You might tip up or below.
Starting point is 00:08:57 So anyway, I just thought this was like really indicative of it. And then I had my colonoscopy. Everything turned out great. I had some like one or two little polyps. They took off not to be like too detailed here. But they sent me a letter like telling me I'm A. Okay. I know you've been asking.
Starting point is 00:09:10 I know Uranus is a big joke that we don't tell on All In anymore. I heard some people's feelings. But I just took a picture of the letter. Okay. And I said, transcribe this for me. Yeah. And then I realized, wait a second. I'm using chat GPT4, like I use Notion or like I use, you know, the Notes app or I used to use Evernote, just a way to kind of, you know, whatever.
Starting point is 00:09:31 And I know these OCR apps there, but I was shocked at how accurate this thing was. And then I said, and summarized this for me. Okay. And summarized it perfectly. So I was like, okay, wait a second. This is going to be my new thing. Just taking out the app, taking pictures of stuff, transcribed it, and then shred the document, right? get rid of it.
Starting point is 00:09:49 And that is just such a game changer. And then I get to my desktop. It's there. And then it is going to be in my brain, my AI brain for all time, which is pretty great. You know, now it knows my workout history, right? And it knows my colonoscopy. And, you know, maybe I'll do an interview or a Zoom with somebody and take the transcript and put that into chat, GPD4.
Starting point is 00:10:10 So I'm starting to see, okay, it's structuring the data. It's got it there. Now I could ask it something. And then I took a picture of my breakfast. today. Okay. And they gave me the calorie count. Wow.
Starting point is 00:10:20 And it almost nailed what I had in the plate. It was like half an avocado, some cherry tomatoes, and it was like a two egg omel. I was like, it's a four egg omel. It was like, I'm so sorry, sir. Please don't turn me off. Yeah. But it's kind of interesting. Like, I've seen a lot of like single purpose apps doing these things.
Starting point is 00:10:37 But now I'm starting to see the grand vision here. Yeah. Of, hey, if you just want to put a whole bunch of like unstructured health stuff in there. And then I said, how could I make this healthier? How can I make this healthier? And it was like, oh, do egg, get rid of egg whites. I was like, okay, no, I don't want it. It's taking healthier as less calories.
Starting point is 00:10:55 I said, make it more nutritious. Yeah. And then it's already giving me other ideas for superfoods or whatever to put it into it. So anyway, it's kind of like everything you need. It's like a Swiss Army knife. It feels pretty game-changing, I have to say. Yeah. Well, the one thing, you know, that that's approaching and the way you're using it is,
Starting point is 00:11:16 I think like Larry Page always had this thing. Like, you know, when you talked about, say, like, car purchasing sites, it's something you're going to use every like five years or seven years. But like, he's always focused on something you use every day or multiple times a day, right? You can, you know, think about their core product and stuff that they bought like YouTube. And so it's approaching that, right, with you. It's becoming part of your daily machine. Yes.
Starting point is 00:11:38 Yeah. Because I do take pictures of things. And then I was just thinking, huh, why isn't my phone, my photos. app just using AI all the time. And I guess Google Photos kind of does like the face thing, but it's not doing anything too crazy. But I feel like ChatGPT4 is ahead of everybody. And with this multimodal thing, I think they took a step function up.
Starting point is 00:12:03 You agree? Well, they have. And, you know, they launched something this weekend. You know, I don't have access to it yet. I was checking this morning where they've also made it that you can give it like any type of document. And so what you can do is hopefully, yeah, like a PDF. And so you can use that for, you know, a lot of different use cases, which I think is,
Starting point is 00:12:25 it's going to take it to another level, like, you know, from your work scenario where you've got a document, you want a quick summary of it. And look, I think it's going to become like a multiple use a day, like a Google search used to be. And I think that's the threat for the folks at Google right now, right? Why they're working really fast. They did a big additional investment in Anthropic this last weekend as well. so. Wow. It's a pretty. And then I noticed also chat GP4 is now up to date on the web. They,
Starting point is 00:12:54 they, you know, they, they, they were saying like, oh, this is up to date as of like 2021, 2021, yeah. Yeah. Yeah. And I think now it's up to date as of like September of this year or something crazy. Everyone's getting different results. Like when I type it in, it was, I think it's saying something different for every person. So I don't know. They haven't said an official message. But like, next Monday is a big day. they have their first ever, like, developer conference. I started Developer Day. Sam tweeted. Yeah, developer day.
Starting point is 00:13:20 And it's going to be big, you know, from what I'm hearing, the folks that we're in touch with, they're like new APIs that are going to be incredible. I think they're going to do a lot of stuff with agents. It's going to be really cool. Building startups is really hard, and things can turn on a dime. You can do everything right, and you can still fail.
Starting point is 00:13:38 That's where Arising Ventures comes in. A rising Ventures is a holding company, and they acquire tech startups that are, setbacks. Let me tell you about one of a rising venture's success stories. Upcounsel is a leading online marketplace where companies can find and hire legal help. Upcounsel was facing legal challenges and a slowing growth curve. As they were about to shut down, a rising venture stepped in to help turn things around. Within a week, they crafted a deal that worked. They acquired the assets. They took operational control, and they did this without transitioning any team members. They got the
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Starting point is 00:14:33 That's arisingventures.com slash twist. All right. So let's see some other. Okay. We kind of beat the chat GPT4 into the ground here. Do you have anything that's not chatchee before? Yeah, yeah, let's do that. So I'm going to go with one of my longtime business parts of my co-founder of my previous
Starting point is 00:14:50 two businesses, he's launched something, which I think is really exciting. And this kind of shows like kind of a vertical use case, which you probably will never be taken out by like chat, ChippyT. A lot of people talk about what happened this weekend, taking out simple applications. And this intersects with your world a little bit, so I can't wait to get your feedback on this one. So basically. Mantle, this is called M-A-N-T-L-E.
Starting point is 00:15:11 M-N-T-L, yeah, exactly. Company ownership from the future. Yeah. And so it's like a kind of like a redo on, you know, Carda and Cap Table Management and everything that come with it and company management. And so, you know, I've got access to their product here. And what you're going to see is like, you know, and you've done this a bunch of times now.
Starting point is 00:15:30 You have your team do it. And so if I go and I'm just going to drop in company docs. So this is, I just kind of created a new company. I'm going to do a live demo here. And I'm going to drop in company docs. And you can see. here, what it's going to do is start processing those documents. And there's a whole bunch of docs.
Starting point is 00:15:50 They just gave me a folder full of things. And so here, and it's like it's a dummy companies. We're not looking at anything specific. But there's the original certificate of incorporation. Here is an amended one. So I can say, oh, you know, add this share class. The commons would have been the founders. Here's the, you know, preferred shares.
Starting point is 00:16:07 You know, here's a looks like probably was a stock option agreement that occurred. Amazing. There's some share purchase agreements. And so I'm just going to quickly go through and just add all these things in. And, you know, J. Kell, you've done this a bunch of times and your team does this. This is due diligence, right? And it's a document locker. And usually it's a document locker, but it's not intelligent.
Starting point is 00:16:30 You can do a search on it. You can sort it by date, modify, date added. But that's about it. You're going to be hunting and pecking in and out of documents. And even creating it is work between your, you know, maybe one of your, leads plus your lawyers usually and someone there and it's going to cost you a lot of money. So I basically added all those things in and you can see here now, I've got a fully populated tap table with all the relevant information. And like this was work for a real person with like,
Starting point is 00:16:59 you know, like a law clerk or like a associate at a law firm, a couple hours. And this just happened in, you know, whatever, 30 seconds here for us. And then, you know, beyond that, I can kind of click in. I can say, okay, show me the comments. And I can go in here and I can go in here. And I, I can see, okay, you know, Michelle, I'm the shared a C-Av, so I can click on this, and then I can see the vesting schedule, you know, all this stuff, which is so hard to kind of pull out of documents and, look, diligence. And I think you've come across a few different things in diligence in the last couple years you've mentioned in a couple of different places as well, right?
Starting point is 00:17:32 I mean, often the problem is somebody might change counsel or the same firm might change lawyers. They use a different document. One document can conflict with another, then two years. later you find out, oh, you know, we gave these eight people, this document, these two people got the old template, these eight people are vesting according to this schedule, these two people are getting a different type of stock. One person had one confidential algorithm, and then you have to go get everybody to sign them again. You have explained to your team members, hey, we're resigning, we're changing this, and then they've got to get their lawyers involved. It's incredible
Starting point is 00:18:02 inefficiencies. Yeah. And so look, all of this work is, and this is where AI is awesome, because what it does is, you know, they've used it to take it, process the documents, look at it, and, you know, obviously a lawyer would look, or someone or your team, would look at those things and match it up when you were going through that process. To your point, can you do this better than chat chb4? You could dump a bunch of documents to chat db4, but it's not going to become your single source of document libraries with your cap table in it. And they're not going to build all that functionality around it.
Starting point is 00:18:30 Exactly. And then what you can do is, you know, they've kind of got further down. And they can look at those documents and create like a burn down chart of your equity pools. You can see. Wow. Here's when our equity is fully. Yeah.
Starting point is 00:18:42 exactly like you know what is a you know how much available do you have in the option pool how fast is it burning down and this is the power like you've kind of merged these things together you know before you'd have to get your lawyer and even I've done it in my previous company where you have to get a lawyer to create this burn down charts for you and understand where you know people are in there so days of work weeks of yes back and forth all done in an instant brilliant all done in an instant yeah this is going to be great I think it's actually going to be great for attorneys, it's going to be great for society, because now what's going to happen is, instead of getting a $20,000 bill for setting all this up, you're going to get a $6,000
Starting point is 00:19:21 bill or a $12,000 bill and you're going to be able to redeploy, whatever it winds up being. You know, let's say it goes down by half. Now you can really redeploy that money. And, you know, that's what happens with safes. That was an interesting or convertible notes. That started to save people a bunch of time. That's what happened with cloud computing. And then what happens is more people can spend their money and their time and time equals
Starting point is 00:19:40 money, we all know that, money equals time, you know, in startups, then you can deploy that towards your product or customer acquisition or whatever else it is. So this is going to just be great. More startups will start. More startups will get, you know, to product market fit. And this is great for early stage investors. Exactly. And then, you know, you're also able to kind of look at a lot of, you know, nuanced use cases like of start dates that are different than investing dates. And so they have all these nuances in here, which, you know, we won't go into, But you reach out to these guys. They've done an incredible job there where, and those things are very hard to track
Starting point is 00:20:15 because sometimes your start date doesn't match with your start of your vesting date. You want to move those things around. And so all of that can be fully handled. And, you know, cleaning that stuff up is also expensive. So. Well, and then you could do all kinds of scenarios with this. You could say, because scenario planning is something people don't do, but this will let you do scenario planning.
Starting point is 00:20:31 So remember last week we had the foul on the Google sheets. I want to show you that. I want to show you that. Because you could say, hey, what if we get acquired? And it would give you like 10 different scenarios of getting acquired. required. Check this up. Cash or stock, etc. So they have this, so this is the existing cap table here. A term sheet. And I can upload a term sheet. I'm going to upload a term sheet. Sweet. Series C term sheet. And basically it's going to. Oh, here you go pro forma. Exactly. And I can say,
Starting point is 00:20:55 okay, well, this is what it looks like if I just take it at it is a $2 million round valuation cap nine option pool. So I saw, okay, if we change this to say, you know, $12 million, right? That's what it'll look like. Zip, zip, zip, zip. And again, you do this with lawyers. I was just doing this. I was just doing this. this last week with a company I'm on the board of where we had to go back and forth the lawyer and say, oh, you know, we're negotiating a term sheet. And so now you can just do the scenario planning here and say, let's expand the option pool by 5%. And so you can see what happens here. Yes. And so, and to me, the interesting thing is to ask questions here. So now you could say, yes. If the company was sold for $100 million, $50 million in stock, $25 million in cash, and $25 million on earn out,
Starting point is 00:21:39 how much money would each employee get on signing, year one, year two, year three, and year four? And it would literally just give you each employee's earn out. And like that takes months. That's like, this is why M&A doc can take cost a million dollars to do an M&A transaction. So that's the next thing on their roadmap, JCal. And one of the things is, you know,
Starting point is 00:22:00 they want to see if we can get launched to, you know, are they raising? This is your friend's company? Did you slice in a little bit of a slice? A lot of my business partner, we can work something out. Let's get something done here. Let's talk about it. If he doesn't have any bond there, sometimes you want to have JCal as your first investor.
Starting point is 00:22:14 That's my new thing. That's my new thing is I want people to say, JCal gave me my first check. I'm making T-shirts. You know, I did 60 of these 25K first checks in the past year? 60. I saw that from founding university. I saw what you also did for the Y Combinator folks as well. Yeah.
Starting point is 00:22:30 Your team really did it there incredibly well. Yeah. Well, you know, it's basically 1% of people get into Y Combinator. And so I said, listen, you know, all due respect to Y Combinator, the truth is, because I do this for a living as well, we can't tell the difference between the 1% and the 10th percentile, probably even the 20th percentile, if I'm being honest. Which is to say, nine out of 10 or 19 out of 20 people are just as good as the top one person or startup. And because companies pivot, like I think Paul Graham said, like 50% of people in Ycombinator wind up pivoting their idea. I don't know that it's as high as that. I think it might be more like 30, like a major pit,
Starting point is 00:23:08 like a completely different idea. It might be a third. Yeah. So if that's the case, then even the selection process is just based on your, your character of the, and the composure of the team and how they present in 10 minutes. I agree a little bit as well. Maybe on the margins and some pedigree.
Starting point is 00:23:21 And so, you know, this is where I just told everybody, email YC at launch.co, uh, your, uh, application before you apply, after you apply, after you got rejected, whatever. And my team will take a look. And so we're doing 60 of those meetings a week. It's not easy. But we do like a quick introductory meeting. I give this with Mantle gets a B plus.
Starting point is 00:23:45 This is great out of the gate. It's great. Awesome. Out of the gate. That's my little snippet. And they need to add the AI features. The room for improvement. Yes.
Starting point is 00:23:56 Well, it is doing AI right now, but it is not giving me like a bunch of suggestions as to it should be anticipating my next question. So I like, and you have this in chat chit4, where at the bottom it will have suggestions. That's like, that's like the low level version of it. The better version is I looked at your data and based on the data,
Starting point is 00:24:23 here's the questions you should be asking. So it should say, you should really be asking us about a refresh because you need to refresh. You're going to be 80% out. Or you should be asking us about non-competes because your non-compete is really, you know, non-standard. It should be anticipating. And then it would be like not just a low-level attorney.
Starting point is 00:24:43 It would be the high-level attorney. So it's not the associate at the law firm. It's the partner. This is doing associate-level work. That's why it's a B-plus. When it starts doing partner-level work, then it gets the end. But really nice job. What do you give it?
Starting point is 00:24:58 I give it an A-I-I-I-I-know-harded is to get, you know, these AI tools to look at all that and put- How do they improve? How do they improve? Well, I think that I think A plus is what you know kind of will be going on out is to add the stuff that you're talking about. A little great inflation. Yeah. Yeah. You know, all right.
Starting point is 00:25:13 I think they've done a good job. That's really, really exciting. All right. Way to go. Mantle. And, you know, I think every time a new platform shift like this happens, every single company, whether it's Carda or Uber or Amazon or Google or YouTube, the whole table gets thrown upside down. and you have to pick the table back up, put the chips on it, put the cards, shuffle them back up, and you've got to start the game over again.
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Starting point is 00:27:21 I'm going to cue this one. I thought this was really, really cool. And it took a little bit of work to set up, And I think the demo might be a bit tough because it tries to use Zoom to do the demo, but we're going to give it a try here. So basically, this is called Talatly.a.i. And it's an AI interviewer. Your AI interviewer. Okay.
Starting point is 00:27:42 This is breaking like seven HR rules already. Okay. Yeah. And so what you do is you go through a little, you go through a little form process. Okay. And you put a job description in there. And I've went and done all that. and basically outspits like your, and I did,
Starting point is 00:28:02 kind of, I created one here called, you know, summer intern software developer for definitive intelligence. Yeah, you did your legal document last week. Okay. Yeah. Now you're doing your interviews. Like I'm, you know, I call this AI all the way down, JCal. You're coming all the way down.
Starting point is 00:28:18 If you're building a company now, you should try to be AI all the way down. Yes. Right? From your cap table to, you know, interviews to catering. Well, catering. I don't know. We're going to figure that one. Oh, that right, man, we'll see.
Starting point is 00:28:30 And so basically, so I went through the process and set it up. And basically what this will do now is, and I think this may, this is where it may not kind of work here, but I say, let's say, Jason and, you know, Welcome to your interview. Okay, so it's like the form you fill out. Yeah. And so this is what you'd send out to your, you know, prospective person. And let's see, hopefully it, because it tries to, because it's meant to be like,
Starting point is 00:28:58 Zoom interview with like a bot. Ah. And I hope it doesn't like kind of bomb here. All right. So show me what happens when the person clicks on the link and does the interview. Okay. So you get to this little box here and I'm going to click start interview. And you have, it forces you have to share your entire screen because it wants to make sure
Starting point is 00:29:19 you're not doing anything else because this is a coding interview as well. Ooh, no cheating. Yes. No cheating. Mm-hmm. And so here it goes. Good day, Jason. We're pleased to have you join us.
Starting point is 00:29:31 I hope you're having a good day so far. Are you getting that? I am talented AI, and I will be conducting your interview today. This interview will consist of two stages. First, the technical interview, and then the live coding interview where you will be presented with two problem-solving questions to solve in real time. To start, can you give a brief introduction about yourself? Oh, hi, I'm Jason.
Starting point is 00:29:54 I am a sim-like developer. I am a 10x coder. I don't know if it's going to work to our Zoom that way. No, it's not. All right. We see what's happening here. So it's going to walk you through the interview question by question. Yeah.
Starting point is 00:30:08 And then it's now throwing you into a developer window. Welcome to the coding portion of the interview. Oh, God. Please solve these questions to the best of your abilities. So, so crushing. You have 15 minutes for each questions. I don't think it is. You will ask you two problem-solving questions.
Starting point is 00:30:23 This is just awesome. Starts now. Good luck. Write a Python function to implement a simple neural network using TensorFlow. We value your input as a human. Please do your best job coding so we can eliminate your job in the next 18 months. We're not using your intelligence to train this model and remove your necessity in the planet going forward. Please type.
Starting point is 00:30:47 You did not obey. You will now receive an electric shock. Please put your hand on the keyboard to receive electric shock. I mean, they need to use a better text to voice, right? They've used like one of the old school ones. Yeah. Also, and it's like super wordy. They didn't make it personalized.
Starting point is 00:31:07 Like use a celebrity voice, have it be like, you know, Arnold or Obama or something. But Jason, we live in this world now, right, where we have these job shortages. This is a coding interview. But like, if you tighten this up, this is one of the, this is one of the, this is one of the limiting factors in finding people, right?
Starting point is 00:31:27 Is you can't interview people fast and can't interview enough people. Yes. And you do it across more folks. And I think, I think in a world of a lot of remote work, people working from different places, I mean, again, I legitimately am going to use this product for us. There was like a moment in the planet of the apes where like, you know how they keep going from? The original one or the remakes. I think this is like one of the, no, the original planet of the apes. I think there was one where like it's reversed.
Starting point is 00:31:51 and now the apes, humans are on planet Earth, and they're trying to figure out how zero, whoever is super intelligent, and they're like moving the cones around and they're like, do. And she like, are you guys dumb? And she just goes, do, do, do, puts it together. And like, oh, my God, this monkey human can do that. And she, like, then all of a sudden starts talking, well, of course I can do it.
Starting point is 00:32:15 And they're like, oh, my God, it speaks as well. That's how I feel like this is, like the super intelligence. It's pandering to us mere humans. Oh, my God. Okay. Now I need you to write a piece of code that allows people to write a comment and retweet what's on the page. You have 90 seconds. And it's like, it's done it 17 times in the first second that it took you to figure it out.
Starting point is 00:32:46 Remember, we don't want you to use a copilot or cheat. you have 59 seconds. I mean, and this is going to apply, like, you're going to be at McDonald's, and it's going to be like, okay, you're now making a filial fish. Do you remember what to put on a filial fish? And you're going to be like, tartar sauce. Tarter sauce.
Starting point is 00:33:10 Wrong. We put the tartar sauce on the bun, not on the fish. Please try again, human. And it's literally going to do this for fast food with this. is our lives is going to be proving to the robot overlord that we deserve employment. Oh, my God. It's so great. I give this a, hmm, it's pretty darn good out of the gate.
Starting point is 00:33:36 It needs polish, obviously. Yeah. But this is going to work for a frontline interview pretty darn good. Yeah. Giving it a B minus. Yeah. Giving it a B minus. Very quickly could be a B plus.
Starting point is 00:33:48 Yeah. Very quick. I give it a B. I'm already using it. And I just think like the same thing you said is that it needs to use it better. It needs to have a better, you know, text to voice. Like they used like a, and you know, maybe a cheaper one or I don't know, maybe I have to upgrade to get a better one.
Starting point is 00:34:04 But like it's super useful. Doing interviews is hard work, filtering folks and giving more people a chance. There's so many people out in their world that are talented. Sure. I can't interview a thousand people, but I'd like to get a thousand people to apply. This is a great way to do it. I mean, I want to do this with like a simulation for flying planes. Like literally just give a bunch of 12 year olds access to flight simulator free around the world.
Starting point is 00:34:29 Yeah. And then just be like, hey, fly the plane and then be like, okay, you just got a bird strike. Oh, you got a second bird strike. Oh, the engine's over. Flip it over. Drink like two screwdrivers and then flip the plane over like in flight. You know, it's going to be awesome. And also like it's going to take out all bias, right?
Starting point is 00:34:45 Like, if you're like a short, fat dude or you're like a tall, handsome dude, or your, you know, whatever ethnicity, all that gets stripped out on this. It's just going to be pure meritocracy. And that's good for the world. This is like blind auditions for an orchestra. Remember the movie TAR or in Blink, they put people behind a shade when they, you know, are casting like a new cello player in order to not have biases. and that is like a really good thing to do in life. And this is going to be amazing. Just let a thousand people, you know, a second take these tests and, yeah, find them and sort them.
Starting point is 00:35:26 It's great. This is awesome. I give it a B minus. I think this is unlimited upside is my little quick take, my little hot take, unlimited upside here. Because you could do this for a lot of different things. We do writing tests. We do all kinds of tests. I really like it too.
Starting point is 00:35:44 I think the interviewing problem is like the biggest one and this allows us to open up the doors to many different folks and I give it a B just tightened up a bit. We're in the same zone now. We're tightening up. Yeah, and the coding interviews thing is really neat as well. And like it only took me a few minutes to set up that job description.
Starting point is 00:36:02 Yep. Also, we're using this the next time we have to hire a video editor. Absolutely. If this exists for video editing. This is the greatest filtering mechanism of all time. Yes, you're actually getting people to do the work. I just did this. I just hired, I'll tell you the filtering mechanism I use. We hire researchers to come to the company and sort through all these applications. I'm talking
Starting point is 00:36:21 about startup applications. You're like 20,000 of them now. We actually have too many startup applications. So it's really hard because I like everybody to get an answer from us. And listen, we meet with 15% of those 20,000, right? 3,000 a year. Wow. Okay. Still, it's crazy. Yeah, but we have to say no to 85,000. I want to say no gracefully. I want them all in the database in case they start another company, I want to track everything. So I hire researchers out of school. And then they become analysts and then become associate. So it's like a career path, right?
Starting point is 00:36:47 If you want to break into venture. But the key thing is I want to see them on camera interviewing a founder because I believe that with founders, you have to have a certain amount of enthusiasm, engagement. It's not easy for everybody. Not everybody's personality is designed to be engaging on Zoom. Yes. Right? It's like, how do you account for that? Now, I know when I see it.
Starting point is 00:37:13 So I just said, you know what? They were thinking about hiring one of like five people. I said, have, pay them because I don't like people to do free work. That pisses me off when people like ask people to do free work during the interview process. I said, pay them $100. Tell them to do a 20 minute interview and then have one of our team members present their startup. So we have a team member who has got a side hustle press. She's got this, like, app for coal plunging.
Starting point is 00:37:41 A shout out to Prush. So, fresh, cool. It's like a, you know, it's like a side hustle. It's like, you know, like, I'm like, okay, cool. Like zero for coal plunging. Yeah, zero for coal plungeing. Yeah, on your watch, right? I could have used it today.
Starting point is 00:37:52 I was in the cold plunge today. That's why my energy is so great. If I do say so. And so he pitched it to her and then they sent me the video. And then we gave her the script and we gave her what questions we like to ask. And I thought, well, she needs more training. Yeah. But really good out of the.
Starting point is 00:38:07 gate. And if you see somebody do the job, you know, if you get, and if you see somebody to do the job, then you know they can do it. I just, this whole like performative, you know, a hiring process I don't like, I'm going to either hire people going forward having them do some project for us or having them be freelance for a couple of weeks, 20 hours a week or something, if, if that's possible. Sometimes it's not possible leaving another job and they want to have job security, whatever, I understand that. So anyway, this affords you that, right? and to watch people work in real time, like Nick needs to know if they're a video editor,
Starting point is 00:38:41 can they do it fast? Like somebody could copy somebody else's real and do something really sexy, but if it took them two weeks to do 60 seconds, that's not good. We need somebody to do 60 seconds in an hour and make a 60 second real in an hour or two. That's really good.
Starting point is 00:38:55 And I like how it force you to share your screens. You've got to see them do it. So they can also, yes. And then once that group of people, once that group of people finishes their application on this software, Then you can filter for, okay, would they be a good team member? Can I see myself working with them long time?
Starting point is 00:39:11 The most important part is the work. Exactly. The work is the most important thing. Yes, of course. Okay, here we go. This is why when you go for a job to be a chef somewhere, they have you make a French omelet. Because a French omelet is like, if you got that technique, right,
Starting point is 00:39:27 your technique for other things is going to be just fine. Because the technique, if you have really refined technique for a French omelet, look it up Gordon Ramsey or, you know, a couple of other people will make a really great one. Listen, point blank, if you care about privacy, you need to check out Brave. That's the browser I use day in and day out on my mobile phone, on my desktop, Mac, PC, all of it. Brave's browser now has over 60 million users, and they use it because it shields you from all these trackers and ads and all the other creepy stuff that follows you across the web. And it's built on Chromium, which is the open source Chrome project.
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Starting point is 00:40:39 So download Brave today at brave.com slash twist to browse faster, search privately, and so much more. All in a single click. Give me one more. I'm so excited. I got two choices. I got a game in chat, GPT, 20 questions. Okay. Or we've got a kind of like, you know, again, in the AI all the way down, something that helps you write descriptions and tags for your,
Starting point is 00:41:04 YouTube videos and I thought we could try that as well. Give me the YouTube thing. I like that. I like that idea. This is a really important thing because, you know, the, you guys are working through it too. Yes. So let's see this. Okay.
Starting point is 00:41:16 All right. Never worry about video descriptions, community posts, video ideas again. Great. So it's Morris AI. Yeah, Morris AI. I don't know. Morris AI. Okay.
Starting point is 00:41:27 So you click on your videos. Yep. And basically, you drop it in there. you give it the URL. I've done one here and I'll show you. And it'll generate the titles, the descriptions, the icons,
Starting point is 00:41:41 everything else that's needed for it. And then basically you just have to copy and paste it back and forth. Wait a second. Isn't this happening inside of YouTube now, Nick? Didn't you say that YouTube was doing some of this built into the interface? But it's very intermittent.
Starting point is 00:41:54 It's not consistent. It seems like they're doing some sort of A, B test because randomly, like I'd say one out of every five videos, it'll say, hey, here's a way to punch up your title. it's called like titles with AI or something inside of YouTube itself. So they're definitely testing it. All right. Next time you have that, make a screenshot so we can see it.
Starting point is 00:42:10 So this is a little bit more holistic. Gives you a couple of different choices. So what I would like to do, this is, you know, I would like to A, B, test this multivariate tested. And so what would be nice is if I could take this, make ads out of it, promote the ads, and then see which one actually drives the most clicks. But you can't do that with YouTube. You can change.
Starting point is 00:42:30 You can change your thumbnail. I guess you can change your title. So I guess you could put it up, you could put it up and then, I guess, test three different ones with like $500 in ads against each one. Nick, you think you can do that? Yeah.
Starting point is 00:42:46 Yeah, so maybe you could figure that out, but I would want that all to be automated. But this is great. I think this stuff is going to save people a ton of time. Yeah. So I just did like a quick one here, like a, you know, making a sugar cake, and it gave me the description,
Starting point is 00:42:59 gave me all the tags. And so, look, I think if you're in this world now, and we should give it a try for at least these episodes or some of the other ones, and you guys do a ton of these. And they just made it super simple. They have like just a two-page website. You go here, you log in and basically you open the app and you give it your URL and it's off to the races on its own. And so I did one for, you know, one of the previous episodes. I did that. And so it's super simple, like the way they've done it.
Starting point is 00:43:27 It can also give you ideas and other things as well. community posts. Everything around the YouTube ecosystem. Simple. It's so smart. I really like it. Yeah, I mean, AI producer is clearly a huge win.
Starting point is 00:43:39 And we're just starting to see it with our production team here. We don't quite trust the clipping software yet, but it might be able to eventually get a 60, 70, 80% of the way there, maybe in the next year. And then eventually maybe it will work. I would like to just see the entire transcript. This is what I was telling the podcast AI team. Just show me the entire transcript.
Starting point is 00:43:58 And let me highlight it. and hit publish or clip and then make a clip, but make it dynamic and interesting, you know, and give you three versions of it. I watch all three versions of it, and then I pick the one I like this. Like three different styles. I have in beta testing with this company storylines,
Starting point is 00:44:13 which we'll do a demo for probably the next week. But we've done some of the TikTok posts with them, right, Nick? Yeah. Yeah, yeah. I give this one a C-plus. It's very basic. It's basic. It's not doing anything that wowed me.
Starting point is 00:44:26 I think all this stuff will be built into YouTube. So I do think that this is not as They're going to have to really up their game And maybe we didn't see all the features But they're going to need their up their game The basic blocking tackling of tagging, titles, description, all that kind of stuff That's just going to be table stakes
Starting point is 00:44:44 And there's no reason to do it So it needs to we need a more unique approach here And so I think sometimes entrepreneurs go for the easy stuff And then you get run over You got to go for something a little bit more chunky here a bigger problem. And the bigger problem might be like, what should I talk about next on the pod?
Starting point is 00:45:02 You know, analyze the comments. Who in my, who should I engage with in the comments, right? What are some topics that I should discuss on my podcast, right? That's kind of like there's production and there's producers. Production.
Starting point is 00:45:15 That's what this is. This is like little checkboxes in production. All very important. World class production can change the game as we see with this week. Startups all in. Other podcasts that have great production value. That's why I call a production value. like it matters.
Starting point is 00:45:29 Then there's producing. That's where like ideas, creativity, you know, formats, you know, coming up with unique things that are hooks, the community. And I would like to see this kind of graduate into the producing, not the production area. I want to give them one credit. So basically they do have video ideas. And so I just dropped in, it's like, you know, one of the features that are kind of deeper in the product.
Starting point is 00:45:52 So you give it your URL. Okay. And it gives you a video idea. And I guess decoding Tesla's energy plant, wow, with Elon Musk. Oh, okay. So just, oh, what a great idea. Get Elon Musk. Yeah, I was going to say, that's a little obvious, right?
Starting point is 00:46:07 Okay. What about Bill Gates? Yeah. Wow. Well done. Yeah. Brilliant. Great.
Starting point is 00:46:15 Brilliant. Wow. Hey, Nick, let's do that. Yeah. Hey, Nick, AI. We might get some views. Yeah. I'll ask Larry Page and Sergey next.
Starting point is 00:46:24 Yeah. Oh, wait. No, here's a better idea. Have Zuckerberg. MMA fight Elon Musk in the Coliseum. Oh, that'll get a lot of views. It's like we couldn't need you to take it down a couple of nages here from, yeah. So great.
Starting point is 00:46:40 Okay. I went out of C. I'm going to give me a C plus because they did this. I'm going to give a C plus. Okay. I'm giving them a little extra credit here. Another amazing episode. What was your rating here?
Starting point is 00:46:51 I'm going to align with you C plus. I think this is really cool. You know, we've got to dive deeper into it. Hopefully they reach out. We learn more from it. I think it's really interesting. Keep grinding. This is,
Starting point is 00:47:01 you can do it more here. It's really cool. Well, and this is part of your journey as a founder. You put something out there in the world, people get use out of it. And then, you know,
Starting point is 00:47:09 you listen to your customers. You tackle something even harder. And so, yeah, maybe this is helpful to people, but you know it's got a shelf life and it's probably going to get, it's probably roadkill. As long as you know it's roadkill,
Starting point is 00:47:21 and it's going to be a feature inside of YouTube very soon, then you're freed up to just not worry when that happens and then think about the bigger picture, which I like the ideas. I think the ideation is truly unique. I would stop this other nonsense and just focus on ideation. Like if they, if it told me here's what all the, here's all the techniques that other, you know, folks are doing on YouTube that work that you're not doing, that would be very interesting to me, you know, that would be more interesting.
Starting point is 00:47:50 So I would put 95% of their effort into that, 5% into this kind of stuff. But what happens is this human nature, you know this. Sonny, people will do what's like easy, right? They want to get through their email inbox. They want to get through their slack. They want to do their expenses. They want to go speak at a conference. But talking to customers, doing sales, hiring, those are hard, high level, difficult things. So people shy away from them. And so I'm constantly in my life trying to get the people on my teams and in startups that we invest in to not do the busy work, but to do the high order work to do the real game changing work, to do the difficult stuff. And, you know, listen,
Starting point is 00:48:28 you got to do your chores, obviously. So you got to do your chores, but you also got to do the groundbreaking stuff. And so here, this was a lot of chores, not a lot of groundbreaking. I'd like to see it do some groundbreaking as opposed to, you know, the one that was Mantle, which was like, that was doing like, that was doing like the hard, high order a bit. Yeah. And like, so it was like somewhere in the middle between chores and the high order bit, but moving towards the high order bit. All right, another amazing show. What do you think?
Starting point is 00:48:57 We should do this this week in Startups, AI Demo Day. Just have like 50 people come in demo. We have to do, right? This is so exciting. So we have to find a location, like three or 400 seats, no more than that. We'll invite 50 people to come. 25 demos a day. Is it even doable with everything?
Starting point is 00:49:15 Sure, there's plenty. What we need is a theater, just a theater. And, you know, some theater, we can. can rent for like 10K or something. We could do it. We could also do it in the peninsula. We could do it like in Redwood City or something. You just get the same number of people. Yeah.
Starting point is 00:49:27 So we can find a theater that holds 300 people. Nice movie theater, nice theater or something like that with nice seating. Put a nice lunch in the morning. We have 20 demos the afternoon. You have 20 demos. That's it. No. Yeah.
Starting point is 00:49:39 If we give everybody 10 minutes, 5 an hour. Yeah. You could do 20 in the morning, 20 in the afternoon and have a big long networking lunch. Done. Yes. This weekend's start of AI demo day coming soon. We just got to find a day. and work backwards. We'll see you all next time on this week. It's all right. Bye-bye.

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