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This Week in Startups - Episode E2063 Summary
Episode Overview In this episode of "This Week in Startups," Jason Calacanis and co-host Alex Wilhelm discuss significant recent developments in the tech and startup landscape. Key topics include Databricks' record fundraising, TikTok's legal challenges, and the merger between Coda and Grammarly, featuring insights from Shishir Mehrotra, CEO of Coda and incoming CEO of Grammarly.
Key Topics Discussed
- Databricks’ Record Fundraise
- Private Fundraising Details:
- Databricks raised a record $10 billion, with $8.6 billion completed to date.
- Described as non-dilutive financing, raising questions about the implications for investors and share distribution.
- This fundraising is significant as it reflects changing venture capital trends where companies are staying private longer.
- Comparative Analysis:
- Discussed the company's growth rate, which is over 60% year-over-year, projected to cross $3 billion in ARR.
- Contrasted with Snowflake’s performance and valuation metrics, highlighting Databricks' higher market premium due to its growth rate.
- TikTok’s Legal Challenges
- Supreme Court Proceedings:
- TikTok is facing a ban set for January 19, 2024, with ongoing legal battles.
- The Supreme Court denied TikTok's request for an emergency injunction, with court procedures now expedited.
- Coda and Grammarly Merger
- Merger Details:
- Shishir Mehrotra shared insights about the strategic merger between Coda and Grammarly.
- The merger aims to combine the strengths of both platforms, focusing on creating a user-centered AI platform with integrated applications and agents.
- Vision for the Future:
- The focus is on building AI-powered tools that enhance user productivity across various applications.
- Discussed the potential of agents that can perform tasks based on user context and instructions, enhancing workflow and efficiency.
- Future of AI in Startups
- AI's Impact on Workforce:
- Discussion on how AI could lead to job transformation rather than elimination, emphasizing upskilling and efficiency.
- The potential for AI to aid in automating tasks, thus allowing teams to focus on more creative and strategic initiatives.
- Coda’s Unique Position:
- Coda aims to provide a flexible platform that allows users to customize their workflows without the rigid structures of conventional software.
Key Takeaways
- Funding Trends: The shift towards larger fundraising rounds in the private market indicates that startups are opting to remain private longer, taking advantage of ample available capital.
- Legal Landscape for Tech Giants: The ongoing legal issues TikTok faces underscore the regulatory challenges that tech companies must navigate, particularly in a rapidly evolving digital landscape.
- Merging for Strength: The Coda-Grammarly merger is a strategic move to create a comprehensive AI platform, highlighting the trend of SaaS companies merging to consolidate resources and expand their service offerings.
- Future Opportunities: The discussion centers on the opportunities AI presents for enhancing productivity and the need for adaptive, user-centered tools in the workplace.
Conclusion This episode highlights transformative trends and challenges within the startup ecosystem, showcasing the complexities of innovation, investment, and regulation. The insights from industry leaders like Shishir Mehrotra provide valuable perspectives on the future integration of AI technologies in both existing and emerging platforms.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00You're always trying to upsell me on AI. Stop with this upselling. Just put the best out there for everybody. and i'm like oh my god i gotta pay another two thousand dollars a year grammarly or coda or notion or whoever wants this upsell on ai just include it yeah can you fix the entire sass industry for jason please just talk to everybody it's enough with the upselling on the ai i'm gonna start with your two favorite products and then i'll work from there are you gonna do that will you promise me right now we'll stop with the two different non-ai ghetto and then the ai elites.
0:36This Week in Startups is brought to you by Coda. Coda empowers your startup by bringing words, tables, and teams together. Strategize, plan, and track goals effectively with all your valuable data in one place. Go to coda.io slash twist to get started for free and get six free months of the team plan. Lemon.io. Hire pre-vetted remote developers and get 15 % off your first four weeks of developer time at lemon.io slash twist. And Gusto. Gusto is easy online payroll benefits and HR built for modern small businesses. Get three free months when you run your first payroll at gusto.com slash twist. All right, everybody, welcome back to This Week in Startups.
1:20I am your host, Jason Calacanis. With me, my co-host, Alex Wilhelm. How are you, Alex? I'm actually really good. I'm starting to get into the festive spirit, Jason, although I will say in the Northeast, no snow yet and i'm kind of jealous of you because if i try to snowboard right now all i'll do is just scratch up my board and be sad oh well you got to get out here to tahoe i am in tahoe yes that is a real background yes you're going to see uh some weird lighting here like there's my lighting right in front of me but it is what it is uh you know i like to give people the background you'll be able to see skiers go by here um from lovely lake tahoe and i did get out for my first day of skiing yesterday how was it something it was great i mean i i did too much i i came in i was like okay i did my you know nice you know whatever six seven eight i did my six or seven eight runs and then i saw my other pair of skis i have two pairs of skis one for powder one that's more for groomers which means when they make the trails perfectly smooth so one of them is parabolic they're very thin and then they widen and then the other one's fat um so you float on the snow and i just took the fatties out for a little bit because there was a little bit of powder because we had a little dumping this weekend and uh it was great gonna to try to break my record of 40 days in one year by doing 41 days this year.
2:29As a 54-year-old and I'm old, I'm just trying to get that last decade of skiing in. Hopefully, all the science and technology we talk about will result in us skiing into our 70s or 80s. But I'm not taking it for granted. I want to get my turns in now. And I do what I call the CEO program, the VC program. I work in the mornings. We do the pod. I go out. And instead of going out to a business lunch, I do two or three hours in the mountain. Then I come back and I start working again. Success has its privileges. I get to set my own schedule. One of the great things you can do. And what I like to do is I do that little, you know, two or three hours in the middle of the day and get on the slopes.
3:05And what I do is I take notes like crazy when I'm on the lift. I get so many great ideas. All my best ideas happen when I'm on the mountain. And so, yeah, I'm really excited as you can see. The working class version of the ski lift though is I love to take like a 15 minute shower at some point in the middle of the day because if i stop staring at my screens stop reading new notifications reading new notes reading new tweets and i go and i just stare at a wall for 10 minutes my brain goes and i figured out titles ideas how to lay out an interview it's an amazing like cleanse for your brain yeah so i mean three hours must be amazing i'm if i can get it sometimes it's sometimes it's just an hour and 90 minutes sometimes it winds up being three or four i saw there was an extraordinary private fundraise not for spacex not for stripe those are the other two giant private companies but databricks just raised 10 billion dollars in the private markets i mean that's like a masa ipo that's a large amount of money it's slightly different than that and that's the same headline that i saw that's exactly what i put in the notes and then i went and i actually read the databricks announcement here's the thing jason the language which gets a little weird.
4:14So Databricks, Series J, they are going to raise 10 billion. J as in J-CAL. Here we go. J as in J-Curve. I mean, you know, lots of Js. They've completed$8.6 billion of this to date. So they've gotten 86 % of the$10 billion. They will get the other 1.4. I'll explain why in a second. What tripped me out though, was that they wrote it as non-dilutive financing, which to you and I means secondary. But when I was reading other reports and coverage of this, and I couldn't get a hold of all in time to say you have data bricks is i'm just trying to figure out what they're doing here something they said it was non-dilutive when you raise a round of capital you're selling shares in indrescent horowitz dst you're a milliner's amazing firm insight partners these are um investors who want equity but maybe there's some kind of weird conversion that happens when the ipo happens this is this is like a mez round of financing i guess there used to be this thing called a mezzanine round.
5:13The mezzanine round existed when there was just venture capital and IPOs and a mezz round was a year before the IPO or six months before the IPO. People put a slug of cash in and they get first shot. It's almost like preempting the friends and family round or getting an allocation, or maybe you get a little extra bonus, a coupon, as they call it in the business, an extra couple of percentage points, an extra couple of shares, because you took the bet a year before it went public or six months before it went public. But I guess we don't know here the exact details, so we're figuring them out. We're going to chase them down, but I want to make a point about the mezzanine rounds because that's a really fun point.
5:44One, you don't hear about those anymore because there's infinite private capital, so you don't need something to bridge you from private to public. But Jason, weren't Mez rounds like 50 or 100 for companies that we're about to list? It's funny how that is now, what, a series C? It's been completely consumed by venture. Two things have happened. One, venture capitalists have become more ambitious because they know the company so well, because they're on the board of it, because they know the founder since before the product even launched, they've learned over the last decade or two, well, maybe we should stay involved with these companies.
6:17And the key company was Google in this respect. Google made more money for investors, dollar for dollar after they went public, then maybe everybody, but maybe the series A. In other words, why would you get off the board of a company, as VCs tend to do when they go public, or sell your shares in it. And so Sequoia started staying with these companies longer. They started staying on the boards, and then they started this heritage, or I'm sorry, the Sequoia fund, where they manage the public equities. And then for the founders, well, wouldn't you like to have Michael Moritz still involved? Wouldn't you like to have Doug Leone still involved, or Ruloff, or Alfred Lynn, or these other great venture capitalists, and keep that continuity going?
7:00That's kind of cool. It would be very cool for For me, if I had had enough equity in Uber to be a board member right now, there would be nothing more glorious than DK calling me up one day and saying, hey, would you be on the board of Uber? And I'd be like, of course, I'll be on the board of Uber. Because I remember having the conversations with Garrett and TK when they started the company. I remember the discussions around tipping. I remember the discussion. It's just kind of cool to have the historical legacy people around. And so, yeah, that was one thing that happened is people kind of realized, hey, there's a big opportunity there.
7:35Why not take advantage of that? And then the opportunity set became bigger. And entrepreneurs became more ambitious. So as people become more ambitious and the products become bigger and the customer base became bigger over the last 20 years, we went from, you know, tens of millions of people having broadband to two or three billion people having broadband in their pocket. Yeah. This is a totally different market size now. There's nobody who's like, I'm not putting my credit card in the internet. There's nobody who doesn't have a mobile phone. Like if you don't have a mobile phone in 2024, it's because you're a luddite who specifically doesn't want to participate in technology.
8:15Like even like Frontier, previously known as third world countries, those are the places people are going with mobile phones because it's such a huge opportunity. And they sell a$15 freaking Android phone in India now. $15. It's crazy. So anyway, putting it all aside, that's why we're seeing funding the way it's going, staying private longer, all that stuff. That's the backdrop. But you brought up Google's IPO, which means that I get to bring up my favorite piece of data of all time, which is let's all look at Google's S1 filing. oh here we go and um i just love to pull this up every once in a while to remind myself what a company that becomes google looks like when it's young and the company's revenue growth went from 220 000 in 1999 to 19 million in 2000 to 86 million in 2001 to 348 million in 2002 and then tripling yeah 962 million in 2003 that is just one of the most crazy to double or triple revenue growth companies tend to grow what a growth stock is defined as 15 percent year over year 25 something in that range and so yeah you know it's really hard to maintain that and this speaks to the opportunity this speaks to how much time people are spending with the supercomputer in their pocket with infinite storage, infinite bandwidth, and infinite network effects.
9:41Do you spend too much time tabbing between your team chats, documents, spreadsheets, databases? Well, it's time to consolidate all the knowledge that is spread out across your entire organization on one platform. And that platform that we use every day here at This Week in Startups and Launch is called Coda, C-O-D-A. If you don't know about Coda, it is a new category of software. And it's kind of like a collaborative workspace, document, spreadsheet, apps, all put into one. It's really easy to learn how to use it. It's incredibly powerful. We use it for all kinds of applications. One of the applications we've been using it for is something internally we call the Whisper Network.
10:22What the Whisper Network is, is we like to whisper when we invest in a company and they're getting some traction, we'll whisper it to other investors just so they know about the company. Well, we track that all in a database. And then we opened it up to our 450 portfolio companies who can request an introduction to another firm. And it's all tracked through CODA, including what they want to include in that email. And then who on our 11 person investment team is the designated contact for that other seed fund or giant venture fund. And this has changed everything for our organization. We make these mini apps that allow us to be so successful at hitting our goals.
10:58And I'm a big fan of having systems as opposed to goals. All the goals we want to set will be done really well if you have a good system. And Coda builds these systems of record for us really quickly. So here's your call to action. Coda empowers your startup to strategize, plan, and track goals effectively and build the systems that you need to hit those goals. So take advantage of a limited time offer just for startups. Go to Coda.io slash twist and get six months of the team plan for free. That's C-O-D-A dot I-O slash twist to get started for free and get six months of the team plan. Coda.io slash twist.
11:36We take for granted where we don't recognize exactly what's happened over 25 years. Since 2000, we have seen everybody in the world get a supercomputer. Everybody in the world have unlimited free bandwidth, essentially, and everybody in the world have unlimited free compute, unlimited free storage. For consumers, that's essentially the case. And that just takes a lot to grok. Now, it's been reset with computational power on GPUs, and you do hit max limits, as we've heard from various guests on the program, or over and over again, the cost of using chat GPT or whatever. But even that is going to follow the same trend line.
12:16Right now, consumers don't often worry about storage for photos. If you did worry about storage for photos, you can literally create a second Gmail account and get another free, whatever their limit is, and have 20 accounts with 20 different sets of photos. Why don't people do that? Because it's so cheap. We're just paying five bucks a month. I'm paying two bucks a month for an extra 100 gigs. It's amazing. It's nothing. It's nothing. I pay for my family plan. I think we're on the four terabyte plan, just to give you an idea. But I don't mind. I got four daughters. I want all these pictures. I don't want them taking videos.
12:46Go crazy. $300 a year. I don't care. Apple earns it. And I would have bought a$1 ,000 Raid array put in my house. I'd rather just have it in the cloud. Easier, breezier. I remember those days of buying more hard. I mean, do you remember when people were talking about how big their SD cards were? Oh my God, that was four gigabytes. You can have like an hour of video. We're so spoiled in the cloud. And you know, I just want to give people even more hope now. Imagine a world in which energy, water, and food follow the same trajectory. That's what we're on the cusp of. We will have free energy for everybody around the world, and it will be a similar de minimis upgrade to have the next tier.
13:24But there'll be enough free energy everywhere with nuclear, if we ever hit other sources. But between solar, batteries, nuclear, it's going to be bonkers. And then that means unlimited free water, because water is a function of energy. and then it means unlimited free produce because produce is largely going to be a matter of energy to power robots to pick things in the field uh and uh that's going to be pretty crazy when you can buy a twenty thousand dollar robot that tends to your fields at night because that's night vision and it's doing over overnight it's doing alex and jason's farm and planting stuff and bringing fresh fruit to the the table and fresh vegetables and getting the chicken eggs from the coupe and making you dinner i can't your breakfast it's literally happening in our lifetime folks i will have a not a hybrid or electric car you will have a robot i can't wait and that's actually why i'm still optimistic but on the point of things getting uh so cheap they become free i actually wrote something back in uh 2014 wow and my argument was that as we watched storage becomes so cheap that eventually everyone was going to have basically unlimited free storage I took it one step further.
14:35I said, cloud computing is going to become eventually cheap. Not forecasting the AI boom and the cost of GPUs, which has ruined my point here. But I think we've seen these curves for a while. You are correct in your thing that compute is essentially free. It's just not AI compute is free, which is a different category. Yes. So Databricks has how much revenue? Is it two or three billion? It's the last I remember, something in that between those two numbers? Yes. So to your point about there's so much data, who manages that data? Well, Databricks does. So it's growing quite quickly. Over 60 % growth in Q3, which is the October 31 quarter, if you care, will cross - 60 % year over year growth.
15:11More than 60 % year over year. And it's going to cross$3 billion in ARR and reach free cash flow positivity inside its current quarter according to its own internal projections. Okay. So that means - So it's 20 times price to sales ratio. 20 times. 3 times 20 equals 60 billion. Mm-hmm. So that's pretty insane for a company of that scale to get 20 times top line revenue. What would a company like, I guess their biggest contemporary would be Snowflake. Yep. What is Snowflake worth on an enterprise value, I wonder today? And I wonder what Snowflake's revenue is right now. General Slootman is no longer at the helm.
15:52He's moved on, but he really drove that company to huge success. okay so so no flight uh to answer jason's question according to bessemer data they are currently uh their enterprise value divided by annualized revenue was 14.3 x their enterprise value divided by forward revenue is 11.7 and they have 28 growth 67 gross margins and their last 12 months free cash flow margin was 22 what's their what's their just overall revenue so it seems like Databricks is trading at a 50 % higher premium, I guess, because it's got twice the growth, right? So this is where eventually your market cap, the value of your company, the growth rate factors in.
16:37So when I see somebody who's got a company doing a million dollars a year and they want, I don't know, 20 times at a$20 million valuation, or maybe they want even more than that, a hundred times, they want a hundred million dollar valuation for a million. I say, okay, well, what was the number last year? We were having like 800 ,000. I'm like, So$800 ,000, a million. So you grew 25%. If you grow 25 % again, you'll be at 1.25. We're not closing that valuation gap. So what people looking, just so early stage entrepreneurs know what they'll get eventually, your growth rate is going to matter. This is why sales solves everything.
17:12As Mark would say, sales will drive the valuation. If your growth isn't there, your valuation does not get a premium. It gets a discount. If you're only going from 1 million a year to 2 million, if you're going from 1 million to 2 million, okay, you're high growth. Great. But if you're going from 1 million to 1.5, 1.25, those are small numbers. It's not high growth anymore to the venture community because they're trying to figure out how do you get to 100 million in revenue, a billion in revenue. They don't see the path there. No. Answer your question, though, just to add this in. Snowflake had 900 million in product revenue in the last quarter, about 940 million if you include some consulting stuff.
17:49That doesn't really matter as much. but that puts it roughly at call it 4 billion years jason so it's about one third larger than databricks but growing less than half as quickly in percentage terms which i think implies that databricks is going to outstrip it what next year in terms of total revenue scale that's an insane number because snowflake has been one of the fastest growing best performing most beloved public companies since it listed i mean the slootman era is known because it was successful so wait what was the total what's the total revenue right now what's their last quarter or 942.1, which is 900 million in product revenue.
18:23And then there's some other stuff mixed in there that they tend to discount because it's lower margin. Okay. So they have about a billion in revenue a quarter. So 4 billion a year. So they're a third bigger and their total market cap is versus Databricks. Databricks is 60 billion at this. 62. And they are worth 55.7. Okay. So this is really interesting just to do back of the envelope math for folks. Sure. The companies are being valued at essentially the same. One of them has a third more revenue, right? 33 % more revenue, 4 billion versus 3 billion. So why would they be valued, snowflake, a little bit less, 55 billion versus 60 billion?
19:01Why would they be valued less if they have more revenue? Well, then you look at the growth rate. One's got a 30 % growth rate. One's got a 60 % growth rate. That's the reason because people are looking at it. If you're a financier and you work in capital markets, you're going to look at it and say, well, when do they catch up? When do they pass? Databricks, if they're growing at 60%, 60 % would be adding 1.8 billion. Or if let's say they were 50%, they'll be at 4.5 billion. If they're growing at 30, they'll be at 4.2 billion. So they're about to get passed. Databricks will pass Snowflake at this current speed in the next year.
19:33They'll lap them. And so if you were looking at a marathon runner and somebody's got a mile lead and it's mile 20, you know, maybe it's too late to catch up, but if it's mile 10, Databricks could be whipping past Snowflake. And also, I just want to say, and this is a vibes point, which doesn't show up as much in the multiples and the revenue numbers and kind of the hard facts of this. But when you think about AI today and AI in the next five years, and I offered you one share of Snowflake and one share of Databricks, which do you think is better set up right now to capitalize on the AI boom and therefore have more tailwinds?
20:06Yeah. So this is where looking at product roadmap and talking to customers is the job of a capital allocator. And so when we do our diligence, even at the early stages, seed stage, kind of crazy, we do like to talk to customers because we want to have the conversation with the founder. Do you have the right customers? And I constantly have do-gooder entrepreneurs, God bless their hearts. They come to me and they pitch me and they say, Jake, how respect you? Been watching this week in startups since I was in high school. You always give it to me candid. Tell me what you think of my idea. And I'm like, I think your idea is great.
20:37I think your selection of your beachhead customers is idiotic and terrible. And we're going to have every VC tell you how awesome you are and ghost you. All right, founders, are you tired of doing all your own software development? Do you need help, but you can't afford all this time it takes to find great talent? Are you dreading the endless interviews and email chains just to find somebody great? It takes six months. It takes a year. Well, what you need is Lemon.io. Lemon.io has thousands. That's right, thousands of on-demand developers who can help you. And they've done the work already to vet these developers, making sure that they're results oriented and that they're super experienced.
21:24Of course, they got to have competitive rates. So they're going to take care of that as well. And great developers are so hard to find and integrate into your team unless you're using Lemon.io because they handle all that for you. They only offer handpicked developers with three years of experience at a minimum, and they have to be in the top 1 % of applicants, right? Something goes wrong, don't sweat it. Lemon.io will find you a replacement developer ASAP. So many of our launch founders have worked with Lemon.io and they've had great experiences. So here's your call to action. go to lemon.io slash twist and find your perfect developer or the perfect tech team in 48 hours or less.
22:06That's right. And twist listeners get 15 % off the first four weeks. Stop burning money, hire developers smarter and faster at lemon.io slash twist. If they think you're going after nonprofits, that's like going after newspapers in 2010 when they're contracting. Nonprofits are like run, you know, not super professionally, not super efficiently. And it's just like, why would you pick that market? Because you want virtue signaling points because you want to feel good. It's not the market to go after. If you were going to build a finance company to help people raise money for their nonprofit, why wouldn't you build a financial tool to let anybody collect payments like Stripe?
22:47So you've taken the Stripe opportunity, the Apple pay opportunity, whatever, and you've narrowed it down to nonprofits. Yes. Yeah. So why narrow it down? And if you are going to pick a beachhead customer, which you should, and you should have an ideal customer, why wouldn't you pick the one with the most money who is the least discerning, you know, in terms of like paying for it? You know, in other words, you start and I give them the example, Travis and Garrett and the team over there, they, Ryan Graves doesn't get a lot of credit. They deserve, they, that he deserves, he deserves a lot more.
23:23uh they get in fact he was going to be ceo for he's unknown story um it almost made me pull my investment was that back was that i remember i went out drinking with one of the uber founders who was not tk in chicago when they were just having their first couple of black cars in the city before it was actually live i think that was ryan but that was i think the event that we eventually labor later called chicago tech blackout so it's details are a little spotty We used to have fun in technology. Oh, yeah. Maybe too much at times.
23:55The interesting thing was Ryan was going to be CEO, and Travis was like, you know what? I'm not going to take the CEO slot. And I was like, what? I'm investing in you. You have to take the CEO slot. I read him the riot act. And I think Ryan may have taken a person that he would be a great CEO. But I think Travis is obviously... I don't think anybody thinks that there are very few people who count him on one hand who would be a better CEO than Travis. So that's not a dig to Ryan. But Ryan, I think, maybe took it personal and pulled my investment. And I got really upset. TK was going to have him be the CEO.
24:25And TK, to his credit, was like, okay, fine, I'll do it. Not because of me. It was his own decision, obviously. Putting all that aside, you have to pick. Who you pick as your first customer is really important. They picked Lincoln Town Car drivers and people who took Lincoln Town Cars at the airport. Why? Because they were already spending. Back in the day, it was$300 or$400 to have somebody wait for you at the airport, at JFK. You paid for an hour, typically a hundred bucks an hour for them to arrive early. An hour, a buck fifty for your trip, maybe. So it's like two fifty or something. Now they would come, they would hold the sign, they would get your bags.
25:00It was all quite charming. But you would put that versus forty buck, fifty bucks for a yellow cab. And people made a decision, fifty dollars or two fifty. If you're trying to keep it with the yellow cabs and those customers, they complain, they ask for a refund, they're price sensitive. And if you told the CEO of a company like they'll meet you at the curb. you can see them on the map it's 150 bucks it's a hundred dollars less or it's a hundred bucks instead of 200 they're like yeah okay it's cheaper but it's more convenient and it's easier it's in my pocket i don't have to call somebody on the phone there was like you know better reason so always the best possible customer you can don't be a do-gooder be a rabid capitalist if you want to do non-profit stuff then go do non-profit stuff my best advice to people go make a ton of money and then create a nonprofit if what you're passionate about.
25:48If you want to save the mountains and trees, go make a bunch of money in enterprise software and you'll buy a lot more trees than begging people for a hundred bucks to plant a tree. Or back to the payment example, build a broad payments company and then create an arm inside the company that offers cheap payments for nonprofits. Oh my God, there you go. Yes, you could do your do-gooders. Do the do-gooder stuff after you're sustainable and strong and growing. Yes. Just don't do it in reverse. And they're wondering, They're wondering, Jake, why can't I get funding? It's like you literally signaled to venture capitalists who are on edge.
26:23They're on tilt about getting returns that you don't care about returns. Now, you may have done that or, you know, you may not have done that on purpose, but you just have to understand that's what you did. You just said to them, I'm going to burn your money and not get your return as opposed to I'm going to print you money and get you a huge return. So just know what you're signaling. I want to do a quick point about the ghosting point because you mentioned how VCs might say you're great and then not talk to anymore. How common is that? Well, there was a great thread over on the startups forum on Reddit that I saw the other day.
26:56I've gone through and I've highlighted every use of the word ghosting from this founder who pitched a great number of VCs. So there's ghosting and then there's ghosting and there's ghosting and then there's ghosting. And then And there's even more down here. Oh, you rocked it? Oh, no, you're just on the... Wait, how did you get all the ghosting? Oh, I just did Command F, ghost. Oh, got it. Perfect. But look how many people... The ghosting was pretty pandemic for this founder. I mean, the reason for this is it's a hard conversation to tell somebody, I don't want to date you because you're ugly.
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27:30And I'll just tell it to you straight. That's the beauty contest here. If you think that men pick women because of beauty, let's just say you think that that's how men pick mates. Okay, we can debate it if you want or not. In that dating scenario, are they going to say to you, I don't want to date you because you're ugly, or I don't think you're attractive? Or are they going to just say, I'll just respond and I'll move on? Which is more comfortable to do? That's what VCs do. we take the approach we say to founders we have other investments that we have to prioritize that and we just leave it at that but we would love to get an update from you if they ask us we'll give them more details but i just brought it up internally for our firm launch again should we be giving founders more details of why we're not investing or not and i have switched my philosophy back and forth back and forth because once you give founders hey we're not investing because of the margins and because of the growth rate and because of the team we know they say well you're wrong and they argue with you and then you have another email to do that's why the best ones say we have other investments we need to prioritize or this isn't a fit for me i do want to do a quick news update though on tiktok just so everyone knows we've been talking a little bit about tiktok and its legal travails so the ban is in january January 19th, right?
28:54Isn't it? January 19th. It's coming. We're about a month away. We're 30 days away from this. And TikTok's done. Well, so, on December 13th, the DC Court of Appeals said no to them asking for an injunction against the law. Then on the 16th, TikTok filed, dear God, Supreme Court, please come help us. We don't have any time left. Today, the Supreme Court said no to their request for an emergency injunction. But what they did was they've squeezed an entire Supreme Court petition in between now and january 19th so it's gonna be yes so wow the supreme court doesn't usually do that right aren't they usually like slow yeah so slow yeah but i the commentary that i saw that made the most sense to me is that they're compressing this so that way the current doj and the current kind of like set of government that brought this bill and passed it yes are going to be the ones defending it which makes i think reasonable sense so very quickly everybody's gonna be an administration changed the new administration might have different feelings about this the old administration should get to dispatch justice here as they see fit or the court should and so they just want to yeah wrap this up before yeah it gets nixed or there's a transition of people i guess i guess that seems like a good idea i think it's reasonable and then the trouble then can do it whatever they want congress can pass a different law you know they can they can they can go back to the drawing table but oh right we live in a democracy there's a laws and there's a process for passing these laws yes it turns out there is a process we don't use it very often anymore but we do have one that is in reserve in case we ever decide to legislate as a nation.
30:22Quickly, opening briefs, December 27th, right after Christmas, we'll get the big notes from the government and TikTok, and then essentially oral arguments January 10th. So this is going to be bang, bang, bang, we're going for it. No Christmas for people working at the law firms of TikTok or the DOJ. You got work to do. No skiing for that group. Jason, this is going to be the biggest... No, what? No. Oh, okay. Look, if someone wants to pay me what they're going to pay those lawyers to work over Christmas. I think this is literally the best Christmas ever. For the lawyers involved. Those families are like, guess what?
30:56Christmas is in February, wherever you want it to be. Yeah, exactly. Pick a continent. We'll do it there. We're there. That's what's going on. Everyone, we have our eyes on it. We'll bring you the briefs when they come out. It's going to be a big deal. It's going to be politically charged. Very interesting. And it'll help determine kind of where things go. But Jason. Divest. I retain my position. Divest, divest, divest. I'm still on that team. Too powerful for the Chinese to have this tool. Yes. Or any country to have this tool, I'll be honest. Especially in our nation. All right. You didn't start your company to run payroll, did you?
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32:10And even better gusto is simple easy to use software so you can focus on what matters building your startup so here's your quick call to action do you want all gusto has to offer with no hidden fees well how about a discount try gusto and get three months free gusto.com twist that's g-u-s-t-o.com twist all right so coming up next we have a guest that i'm very excited about because jason it is rare that I talk to someone who runs not one product that I use day in and day out, but two. And so I want to welcome Shashir Mehrotra to the show. He is the former CEO of Coda and now also the incoming CEO of Grammarly because news broke this week that Grammarly and Coda have decided to become one entity.
32:57They are merger acquiring one another. And so we have him here. Shashir, hey, how you doing? Hey, I'm doing great. I think technically I'm still CEO of Coda. It closes in Okay. Sure. Good. Nice to see you. As you know, I love Coda. Coda has changed our company. We use Coda for so many interesting projects internally that you're aware of, but that I have told you you're not allowed to tell people about. We were going to do a case study on some of the stuff. I know. I just, you know what? It's like my secret weapon. We do really interesting projects here. Now, the Twist 500 is a public one, but we built this Twist 500 database here on Coda.
33:35What I love about Coda is as a workspace and a tool, it's kind of like the Wikipedia plus a database plus Google Docs plus, plus, plus, plus Zapier. But we still use Zapier with it because it complements it quite nicely for a lot of the things we're doing. But man, I love the program. Twist 500 is the public-facing thing we're doing where we're putting the top 500 private companies, which we're going to include your merged company. So congratulations, you're in the Twist 500 as a merged entity. But also Grammarly, I love because as you in a 20-person company like we are slightly more, there's usually two or three really great writers and they become, so it's me, Alex, and Jackie are the best writers in the company, I think.
34:17And people come to us and say, hey, we wrote copy. Hey, I got this memo. Hey, we got an LP update. And we read it. I pay. not only for everybody to have Coda, but I pay for everybody to have Grammarly because Grammarly has helped everybody in the company go from being a bad, okay, or good writer to a good, great, or excellent writer. So I love both products, but tell us what happened here. Why are these two companies coming together? Because they seem like maybe they're different products, but we know that SaaS has headwinds. You both raised a ton of money,$200,$300 million dollars each. So why are these two companies being put together?
34:52Is it a sign of weakness, a sign of strength, a little bit of both, a way to consolidate and to be more efficient? What's the background? How did this all come together? Yeah. First off, thanks for the glowing review of both products. And I won't reveal all your secret code of use cases. Thank you. Someday, someday I'll convince you to let the world know. Maybe we don't have to do that today. Yeah. I'm super excited about this where we, as you mentioned, we announced yesterday, um coda and grammarly are coming together uh i've personally been like you a deep uh personal user of grammarly for years uh i was actually an early investor in grammarly as well so i followed along the business um uh as well and uh you know it's been a huge fan and i don't think i saw it as an obvious pairing either uh but then we got asked to get together we have a common investor uh who put us together and said, you know, you guys, sorry, you know, amazing person and, and great connector and so on.
35:54And he said, you know, you guys don't realize it, but I've sat through both of your discussions and you're actually headed to the same place. And it was kind of surprising, but we took a day, we sat down and we literally took each other's vision memos for the next year and just went through them line by line. We compared some of the, some of the, the, the mocks and graphics. We compared some of the, the, the observations and realized coming from two completely different places, but actually headed to the same spot. And the end of that meeting was basically, are we going to each try to go kind of build each other's approaches or are we going to do this together?
36:26And it was just obvious we should do it together. So that's the, what is the joint vision? If you were to describe it, because I use Grammarly as an editor, when I'm writing an important piece, I will write in Grammarly, but I have it installed on everything. So if I do a tweet, it's going to, on my desktop, at least Grammarly. Grammarly keyboard, a little bit clunky, needs a little bit of work. I'll give you my notes privately on that because it doesn't do a good job of predicting the next word. Putting us on my little tiny insight there. And then Coda I use for building workflow products. What we used to call workflow in our industry, as you know, things that Lotus Notes used to do where, you know, hey, we're putting some data in and then we want to have things happen.
37:05little scripts happen based on uh and reporting happens based on what happens with that data so what is the common vision for the two companies if you had to describe it in a sentence yeah so so at the core we're building a user-centered ai platform of applications and agents and and those two things together are what makes this magical so maybe i'll just sort of divide them up quickly so agents first uh you know that word's tossed around a lot these days I think of Grammarly as the original AI agent, the one that, you know, 40 million daily active users, 200 billion words a day. It's in the middle of everyone's work and follows them everywhere they are.
37:44And the real magic of what Grammarly has done, which is, as you mentioned, you experience well, is it works everywhere. It doesn't force you to change your behavior. They've done integration with 500 ,000 applications. So the Grammarly experience can be like this agent alongside you as you're writing. One analogy they use is it's like an AI superhighway being built into every other product. And the analogy that Max and Alex, the founders here at Grammarly, talk about is that they feel like they're only driving one car on that superhighway. They have this one agent that comes along and helps you with proofreading your work.
38:22Another way to think about that is that superhighway, now that we're in the world of AI and there's all of these different types of agents, I said, what else could we put on that? And so this part of the conversation mostly focused on a new product we're building in Coda called Coda Brain, which is basically we've taken all the integrations of Coda. It's one of Coda's favorite features. Everybody loves to use Coda to connect to other tools. We have about 1 ,700 or so different integrations, 800 or so that are public, and they connect everything. So it's email and Salesforce and Jira and so on.
38:50And you can just picture that all of those now become agents on the same super high vision. I like the vision. I understand it. This first one is really easy, right? So you're going to come along and rather than this agent helping you with, hey, you got your grammar wrong, it's also going to tell you, oh, here's the context on that investment. Here's a little bit of what that customer said last week in their meeting. Here's a little bit about the feature you're talking about, so on. It's a co-pilot for writing better. But if it was reading everything I'm doing, which it is, and it's thoughtful about it.
39:21It could say, by the way, I know you're responding to this founder in your founder Slack. Other conversations with this founder exist in your superhuman, in this other CRM. Oh, by the way, you're not just talking to this startup here. They're also an advertiser in there in the HubSpot where they're in this marketing database. That's like a really interesting observation for sure that Grammarly is following around. And kids love Grammarly. So the thing that I was just talking to somebody and they said Grammarly just got banned in their class. Their teacher doesn't like Grammarly because it's too good.
39:58They'll let you use ChatGPT, but they said no Grammarly. And I said, that's really interesting. Why not? I've been teaching my daughters to use Grammarly as they learn to write because it makes you superhuman. It's so powerful that, yeah. Interesting. By the way, I mean, I have two teenage daughters of 16 and 18. So they're my first test for many of these things. And, you know, of the of the many wonderful text messages and everything I got yesterday, the ones from my daughter's friends were definitely the most heartwarming and from their teachers, which is also great. They love it. Yes. And they do.
40:29And I actually that the experience you described is it's usually the opposite, actually. Usually it's Grammarly is approved and ChatGPT is not. That's what I said. Yes. But there was some teacher was an English teacher who was like, I want you to write without Grammarly. I understand that. I would if I was a teacher, I would have them write something without Grammarly. then I would put it into Grammarly and walk through each correction and then debate each one. Then they would learn how to use these tools, not, you know, without relying on them, but to use them to augment their brain. We should get to the second half of the vision, but I would say even on just this topic, this idea of an agent that can do everything with you and knows more than grammar.
41:08One way to think about that, just to picture a world is I actually want that agent to be the teacher's agent. I want the teacher to be actually part of that. You should one of the amazing things about Coda packs is anyone can make them so a lot of them have been made by many people around the world many people build them inside their their um explain what that is a Coda pack yeah so a Coda pack is an extension of Coda so that that uh most of them are integrations so they're mostly integrate between Coda and some other product but they're a way of them as zaps for zapier or if this then exactly exactly great companies yeah so the common ones will be two systems they connect to gmail they connect to sales but you can build ones that have a particular point of view.
41:47So you can absolutely build one that is, here's the chemistry agent that knows everything about chemistry. And for that student use case, you can really imagine that AI superhighway having a whole different class of agents, even for just that audience. It's also, I think, interesting to think about, Grambling obviously grew up known for students, very core audience, but it is actually the vast majority of users are actually professionals. And so, yeah, that's right. You can't get to 40 million daily active users without that. And so there's a huge number of people out there that rely on Grammarly.
42:21It's marketers, it's salespeople, lots of CEOs. I mean, the number of messages I got yesterday from CEOs who said, this has saved me many, many times as I have tried to communicate with my board, with my team, with whatever it is. I think it's awesome. So one half of what we're doing is that. And that's, you know, Grammarly is a big AI superhighway. We're going to use it as a platform for the future of AI agents. The other half is applications. And this is something the Grammarly team's approach to this was, up till now, Grammarly has mostly been the magic is that it works everywhere else. And it's always kind of lacked a home.
42:57It's lacked a destination that feels like your true writing space. There is a Grammarly editor, which is quite good. Yeah, but you know what? It's great, but they don't support it now on iPad and iPhone anymore, I don't think. So they seem to have gone away from trying to compete in the document space, and they just want to be agentic. They want to be a copilot. It's a, as you might imagine, a common debate inside Grammarly was, do you want to work everywhere else? I like to say Grammarly spent the last 15 years enabling every other blinking cursor. Coda spent the last 10 years trying to build a new one.
43:32And so there was this big question about, does Grammarly want to be in that market? And so as Alex and Max walked me through their vision, they said, we've made a decision. We really want to be in that market too. And the reasoning really resonated with me. Their view was that we're going through this change in how people think about their tools. And they sort of see it as three phases. There was a phase of the PC phase and all the tools came out and it just felt like digitized versions of our physical tools. And that was the office days and so on. And then the second phase happened with the web.
44:00And all of a sudden, tools became about collaborating with people. And so it was Google Docs and Slack. And it was all about communicating with all these other places, with all these other people. And then this phase is AI. And all of a sudden, the applications work like people themselves. And they're sort of working alongside you. And that's the sort of role of the agent. And what they said that I thought was really interesting is they get a lot of pressure from users of, do I have a home for my work? But more importantly, what is that first class place to understand an AI native collaboration surface?
44:32And they had this plan for how to go build that. And we sat down and looked at what we built. And the plan was your roadmap notion and what other people are doing. So, hey, now the two of you come together, peanut butter, chocolate. It's such a great combination. Peanut butter, chocolate, I'll use that one. I've been using Lego pieces and puzzle pieces, but I like peanut butter. No, it's peanut butter, chocolate. But you know, like you guys, and this is the thing that makes me crazy about the whole lot of you in SaaS, is that you're always trying to upsell me on AI. Stop with this upselling. Just put the best out there for everybody.
45:03Because what I'll tell you what happens with AI is 1 % of your, or maybe 5 % of the people at your company use it. But then you guys demand that I pay 100 % of my users pay for it. Now you put me in this cognitive dissonance. I got the top performers saying, I need this tool. And then you guys are saying like, everybody's got to pay for it. and i'm like oh my god i gotta pay another two thousand dollars a year grammarly or coda or notion or whoever wants this upsell on ai just include it yeah can you fix the entire sass industry for jason please just talk to everybody it's enough with the upselling on the ai i'm gonna start with your two favorite products and then i'll work from there are you gonna do that will you promise me right now we'll stop with the two different non-ai ghetto and then the ai elites?
45:47That is the Coda approach. Coda AI is included for everybody. Thank you. Thank you. I mean, generally, it's the obvious approach because the whole product is AI. How we bring that together, we'll get to. But yes, I agree with the sentiment. I understand very much the haves and have-nots of the... creates a weird choice for the buyer. Alex, do you have any questions? Oh, I got a bunch. I mean, we have two ways to go with this. There's product, which I've taken up all the product discussion, but you love markets and you love M &A. So I think you probably have some M &A questions or some business architecture questions.
46:21Oh, hell yes, I do. So one thing that blew my mind when I was reading about the deal was that it was done in stock according to Axios and was done, I believe, at the last kind of valuation marks for the companies. And Grammarly was valued, Jason backed me up like 13 billion. And I think Coda was valued at like 1.3 last time. So Dan Premack writes that it's about 90 % Grammarly stock and like 10 % Coda stock. I'm curious why you guys went with those prices to set the rate to consummate the deal. Because to me, those are older numbers. Are those numbers correct or ballpark correct? Let's start there.
46:55I can't comment on those numbers. The numbers are correct on the last valuations. Our last round was done at 1.3, 1.4 post. And the Grammarly last round was done at$13 billion. So I can't really verify anything about the actual numbers. You can draw your own conclusions on that. Maybe I can comment on the process of coming to a decision like that because I think it's always hard. I think there are different ways to approach these situations. So sometimes you do it based on revaluing companies and you sit down and you try to come up with the metrics and you come with cash flows and so on. And sometimes you take the approach of we're about to build something new and it feels a little bit more like, I'm sure you've coached founders on this before, a little bit like when the founders are coming out and saying like, hey, we're going to kind of split things up here.
47:43What's a reasonable way to split things up based on the future? And this was definitely a case of us saying, we're going to build this together. We have these two vision memos that are quite similar. And we came up with what we felt was a reasonable split between them that I think is appropriately fair for everybody. But I think that's, it's much more looking to the future than it is looking to the past. back to profitability, I assume. I mean, you're in investment mode right now. I would also assume that. Grand Valley's been profitable for a long time. Oh, wow. That's fantastic. So, you know, there is a big discussion.
48:15I don't know if you saw the Satya Nadella comment the other day that like on the BG2 pod, they had this like interesting thing where he said, listen, there's databases on the back end and there's just going to be AI agents. That actually kind of aligns with your vision. so uh but these companies are going to take less and less in terms of infrastructure and people to run them as an you know entrepreneur for a while now like what do you think about how many people it takes to grow these companies another ceo i don't know it was the clarness ceo or somebody you know said a flippant comment like why would i hire anybody i can just build agents i can just build use ai and you know he said that and people are like he's lying it's not true i think he said the quiet part out loud is that the next hire is harder than hiring somebody is sometimes sometimes oftentimes i don't know is it all the time most times i don't know if it's most times or often i would say often perhaps somewhere between often and most times the most the best use of your resources is to automate something and use technology than to hire and throw a human at it where it hasn't always been that way.
49:24How do you feel about that? So I really like Sebastian. I think he's done an amazing job with Klarna and spent a bunch of time with him on this topic. I think they, and he does, he makes actually a couple of different observations. One is that he thinks AI can build, rebuild all the software you need to run the business. And the other one is about hiring. As you mentioned, those are sort of two separate observations. And I think I count myself as an AI optimist. My view is it's going to be a net additive to the world. I mean, there's definitely a view of the world that is, as technology advances, every wave of it, as you both know, there's been this fear of will it replace jobs?
50:01Will it make it impossible? And obviously it does in some in some cases. and technology over the last hundred years has shifted jobs. But I think in almost every case, it creates them instead of removing them. And I don't think it's, I think it up levels people. I mean, the idea of I'm going to have agents to go and, you know, help me do my research and help me prep for my day or help me write code or so on. It's great. What does that allow me to do? It allows me to up level and allows every person to up level what they're doing and changes the jobs. And I, so I think, yes, it's going to change the nature of our jobs.
50:33I think it's going to create jobs. Maybe on the second part of it, the will it replace applications? I think that's slightly misguided. And the reason, maybe just give you an analogy. Imagine I came and told you AI can write great assembly code. Can like automatically generate as much assembly code as you want. And you'd say, who gives a shit about that? Yeah. Writes assembly code. I mean, there are people who do, but there's not a lot of them. Yeah, that's not. And so, yes, of course, can AI, it's a magic trick, can it generate this thing? But I actually think AI working in a surface with building blocks that I understand is very important.
51:04The fact that AI can go and create something that I understand, that I can still work with. And I think this is the idea of AI should feel, we call this user-centric AI, but the idea that AI should feel like something that's working with you in a surface you understand and doesn't produce a bunch of, you know, I think one of Sebastian's statements was, we can just generate Salesforce or Workday or so on. I'm sure you could, I'm not, I'm not, but then what do you do with it? Where does it go next? i got a double click on this one i'm so glad you came on i appreciate you coming on i know you're very busy it's the holiday season and you're in the middle of this but you guys it's such an important discussion for us to have and i have to say you know i have found um young people uh who are what i'll call ai first people they use chat gpt first before a google search or just a search because google now has gemini so they'll do a gemini deep research have you played with deep research by the way 1.5 yet oh my god literally the second you get off this pay for 20 bucks on your gmail account to get gemini 1.5 with deep research it's scary scary good um putting that aside i have people on my team now we have 20 people we're paying you what 20 bucks a month for a coda 30 bucks what is our what is the rack rate probably at 30 i guess so i'm paying you 360 60 bucks per person i'm spending 7 000 a year with you maybe 10 whatever um they just did a function i'm not gonna say what it is but this is something that's time consuming in a venture firm that processes a lot of applications and they said you know we save this amount of time and i said this amount of time for what and they said well per like transaction or whatever or per processing thing and i said well how many of those do we do a year and they said 20 000 okay 20 000 times five minutes, you saved 100 ,000 minutes.
52:52He said, yeah, we saved 100 ,000 minutes. And I was like, okay, people work 2 ,000 hours a year. I can literally put numbers on what's being saved now. And I can tell you, having high performers, bar raisers in your organization who are AI first, who use code of first, who have Grammarly turned on everywhere, and they took the time to turn on, these people are 50 times more valuable for my organization than the people who are not doing it. I'm not saying that to scare everybody inside my organization. Please clip this and send it to the people who aren't using it. Like you're not long for this earth if you're not doing this.
53:24In my organization or others, because there's a group of people behind you who are making applications that save 100 ,000 minutes and you're thinking in those terms. What this means to me is, you've got a great future, by the way. I mean, I do think like people building apps is the future and the agent following you along, but I'm going to disagree. I think static team size is going to be the future. If you are an elite CEO, elite leader, Alex, I think you're going to look first at automating with the existing team rather than throwing a body at it, hiring more people. It's just too much work.
54:01And having the same team size, like you're the Navy SEALs, you're like the same team size, but everybody got a little bit better. Everybody's a medic. Everybody knows how to use the defibrillator. Everybody knows how to use CODA. Everybody knows how to use a sniper rifle. Everybody knows how to fly the Apache, whatever like if you can actually do that at every navy sales and apache sniper and medic which are three distinct fields in you know the military then all of a sudden you got like a really killer team so anyway i'm taking the other side well no you also do away with middle management i mean what's the bloke problem at every single major tech company they always say we have too many layers where did all these layers come from i'm like you literally made them out the door yeah just to be just to be super clear i'm in the productivity business i've been trying to help people be more productive for years.
54:46So it's not, I'm not averse to the, the, the idea that using the right tools can make you individually and your teams and your companies a hundred times, thousand times. I mean, obviously that's, that's my whole business. And maybe to give you one, you were mentioning earlier about things people do with Coda and you can kind of use it as a workflow tool and you can do automations and so on. I think last year we automated something like 4 billion tasks. I mean, the, the, just on, on, on Coda. So, I mean, you know, go multiply that by how much time you would have spent in every one of those emails sent or every one of the notifications or the updates to Salesforce or whatever, whatever it might be.
55:17So I'm, I'm, I'm definitely aligned with you on that. My statement isn't so much the, you know, any of that's going to stay static. It's my job to go make that thousand times, a hundred thousand, a hundred thousand times better. My point is more that I think the, the human imagination is really high. And the, the idea that my company size is going to stay static because I can do the same thing with the same amount of people. Yes. If you're just trying to do the same thing, I think that's true. But then you're going to sit down and you're going to dream up to like, what, I could do something else.
55:45Okay, fair enough. Yeah, that's true. But man, see, this is the natural tension. I think you're going to look at that and say, yeah, you know, we want to start this new year. You know what I'm thinking? Okay, I'm taking, I'm going to pluck these two people out of this unit and they're going to start it. And then these people are going to pick up their slack and automate whatever they did. But maybe I'll use you as the example. Like it's nuts to go run an investment fund and multiple podcasts and so on. You could have stopped. You could have said, I've got this magical Coda thing. I'm trying to stop.
56:19You didn't. Now, because of Zoom, this took no time to go get this set up. Technology made it possible. You know, because of Coda, you now can invest with like so much less of your attention than you used to be able to invest. That's all true. What'd you do? You filled your time with new productive things to go do. That was my, that's my AI optimism view. Productivity, I think, produces humans are full of imagination. Alex, who's right here? Neither of you. I'm right. But critically, I want to ask about the agent point because I know we have to go in a second. But in your discussion of the plan for the combined company, you said you're going to weave the best of code and grammarly together.
56:55Of course, you're going to combine company knowledge, gen AI, chat features, full productivity suite, and hundreds of agents. Now, Shushir, the thing that I struggle with is what does hundreds of agents mean and how do I touch them? Because I feel like people have their own view of what agentic AI means. And so in your future vision, where do the agents live and how do I know to call them? How do I know to interact with them? And what does that really look like in your view? Yeah, I mean, it's a great question. I don't know if touch them is quite the right phrase I would use. Interact with them very politely with consent.
57:25Yes, absolutely. Yeah, I mean, I think that and I think this is like defining this word is really important. So we spend a lot of time on once an agent. I think of an agent as a mix of a few different things. an agent, if you sort of analogize it to human, an agent is something that has context, that has a certain set of knowledge, it knows certain things. The Grammarly agent knows the entirety of everything about grammar. The Gmail pack on Coda knows everything in your email. So there's context first. Second, skills. So there's things that this agent can do. The Grammarly agent can go and revise your work.
57:58It can go and answer questions about it. The Coda Gmail pack can go and send emails on your behalf. I think there's jobs. There's things you've asked it to do all the time. You've said, hey, auto send emails out to my investors. You've said, please correct my grammar in these places. And then finally, I call it the instructions. I'm going to talk to this thing. I'm going to say, hey, right now, I'd like you to do this. Right now, I'd like you to answer this question. So you take all those pieces together. And in my mind, that's what agent ends up meaning. It's something that's context, skills, jobs, and instructions.
58:28And so I'm working on how to um context we understand right and the skills yeah the knowledge okay yes those actions skills are like the buttons you can press these are the activators got it updated database whatever it is something to slack yeah jobs are your workless jobs are hey i hired this person i said this is what i'd like to get done and then instructions i think of as one level up is kind of the personality it's the it's the current thing i'm trying to get done and what i how i want you to behave with me. And at that point, I expect to interact with an agent in many ways like I interact with humans.
59:04I want to be able to assign tasks to agents. I want, you know, one magical thing about the Grammarly experience is it kind of feels like somebody came along, this really good proofreader, like Jason, the way you were talking about it earlier of like, hey, I'm sick of reviewing all my team's writing. What does Grammarly do? It does what I would have done i come through and uses you know red and blue marker and says good bad and then teaches you by the way this is why you're using then and then wrong that's right yeah time and yeah yeah so that but i think and i know you had to squint a little bit to see how these things all come together and i know the term is going to feel slightly unfamiliar but if you start if you think about it like applications act like people i think it's the easiest way to think about it like people yeah it makes total sense but but the substance is and grammarly studying all this so it reminds me of what apple intelligence is doing alex we talked about this on a previous episode yes in apple intelligence you can go in and you can say let apple intelligence study what you're doing in this app essentially and it's on an app by app basis so people are turning it off for things like signal or telegram or i message because they don't want apple intelligence listening in on those conversations uh for obvious reasons um you know but they do want it watching i use spotify or co-buzz another high-res music service because co-buzz hasn't written siri integrations yet but if apple intelligence is studying how i use co-buzz when i'm on the ski slope and i say play this song in co-buzz or play me you know whatever uh it should know how to do that it doesn't because it hasn't been written so you have grammarly studying how people do things you have code explicitly having people write apps.
1:00:47So this is like a pretty awesome combination. And Athena, Alex, is also down this path. Everybody go to athenawow.com to get a month off. I'm an investor. Athena has virtual assistants and they're studying and watching them work and then using that to back into agents and technology. So a lot of people are onto this business process studying and applications. I think it is the future. I think you guys are perfectly positioned. But the thing that we're getting to here is that it's not going to look like one single thing. So there's ambient agents like Grammarly, which follows you around everywhere you go.
1:01:20There's things that Shashir mentioned that you would have to prompt directly. And then there's other things that might look more like a to-do list or a task list that you assign to it. So I think the thing that I struggle with is agentic AI seems to be everything that's not ChatGPT. No, here's an idea. I would include ChatGPT. I think of ChatGPT as, I go back to my analogy, apps acting like people. What did we all love about ChatGPT? What was the thing that blew our minds about ChatGPT? Is that I could go to this thing. We've all had the experience. You're sitting at dinner, somebody asks a question.
1:01:50What would you do? You turn to your smart friend and say, what do you think? And instead, I can go talk to this thing and it acts like a person. It's an amazing person. It's a person that read the entire internet. What's the context for ChatGPT? It's the entire internet. Yeah, it's all human knowledge. You know, I do see the vision here pretty clearly, you know, of Grammarly, you know, one of the concepts that people always need is give me an idea of what to write next, right? The blank sheet of paper. What Grammarly and Coda should do next is they should say social media. You know, I use my Athena assistant to go find everybody talking about Foundry University or Accelerator, yada, yada.
1:02:27and then they share that in a Slack group. It's a manual process, but it's well worth the$33 ,000 a month I pay for it. It's about one thing the person does. Instead of having a social media manager, they just put, here's a list of the people on LinkedIn, Twitter, Instagram, talking about us, our firm and our companies, go engage. And then they go and say, who hasn't engaged? Who did engage? And they just remind everyone in the team very gently, these people have engaged. If everybody else could engage, that'd be great. Just means go find the founder. if you were one of our founders and you were talking about this merger.
1:02:59I did this exercise yesterday. Yeah. But now you do it. How do you do it? You have somebody prepare it for you and give you a set of links. No, we have a code of doc for it. Oh, you have a code of doc, right. So people just dump them into there. So now social media monitoring as an app with Grammarly, plus you combine what should you write next. So here's everything. These are people that you should engage with. This person from calm.com, Alex from calm.com, tweeted about a new feature. Would you like to engage? here are possible responses click one and edit it and then post it so a social media agent should be the next one you do yeah and it should just be built into gromly should just follow you around but it should all be documented in the single source of truth in the database should be on coda we i would have people build that right now but i think it's probably your next best use of time because everybody needs help with that yeah those are great ideas i think this is the way i get myself to the top of the product roadmap but somebody's got to be a startup doing this too like a social where is the social media monitoring startup i think i think part of the reason um there are i mean there's a bunch of them but the problem i think is most most applications built that way they they're forced to be rigid cookie crudder things so they'll build a version of it that is designed to run a very specific kind of company why do you guys use coda because nobody builds software for your unique way of investing for you so the thing you want i think and the back to Sebastian and Klarna and so on is I think he's right.
1:04:22You don't know, not everybody needs exactly the same Salesforce. And I do think you should, you should have your own version. Like you guys have your magic Coda doc that runs everything. We did not specifically use any of the CRMs out there. And there are CRMs now, verticalized ones for venture. We looked at them and we're like, but that's not how we work. That's how the average venture, it's not my business. I need something that does these customizations. And I looked at it and I was like, you know what people were going to charge us for that stuff? 100 ,000, 200 ,000 a year. Because they're like, well, you're a VC firm.
1:04:53We'll just take a 1 % tax on your, whatever. We'll just tax you 1 % or 2%. I was like, f*** that. I blew that out. I was like, f*** that. I'll just build an encoder in Notion. I'll use Zapier, if this, then that. And I'll have it done. It may take me two or three weeks to get this done, but I'll just have some of the young guns on my team build it. And by the time they build it, would have been us debating the price with you. Ah. and training and creating logins for everybody. I would rather just go into Coder and Notion and just do it. Just to be clear, I think that's a good example. I mean, if you think about what we're trying to get done here, agents and applications, what do you really want?
1:05:31You want a social media agent that really feels like a human that does all the things that you, you know, would you actually hire a million people to go do that? Probably not. But now you have this thing that can do it. And you want an application that feels like your unique perspective on how to do it. You don't want the one everybody else does, that everybody else uses. You want your unique way to do it, because that's your strength. That's what you do. Super power. Putting those together, that's the heart of what we're doing here at the Combine Family and Coda. All right, listen. I am a super fan of yours and the products.
1:06:00Why don't you come on in six months? We'll book it right now. Welcome to the twist500.com, powered by Coda. You're not a sponsor of it, but we'll give you the plug anyway, because it's such a great tool. twist500.com, built on Coda. It is what it is, folks. It's a great product. So you can always tell, you can always tell like which products I love. Cause I'm just like, this is, if I use it, we love it. You know? Authentic. Yeah. Yeah. And so I'm pretty authentic. Like we're using it. And so maybe in six months, let's talk about how the integration works. I would love to hear, is this the first time you've done an M &A kind of deal like this?
1:06:30I mean, I was, I put a quote, obviously, but you know, I was at Google for a long time. I was YouTube. Google was, you know, a different version of the same thing. I bought many companies. So definitely been through them. This one's unique. Every one of them is unique, but the. So yeah, I want you to just, if you could be thoughtful when you're doing this and maybe write down the lessons you learned in this merger, in this time period, would you be willing to maybe in three, six months come back and just tell everybody what you learned about doing this kind of M &A? because I do believe we're going to be in a new M &A moment where companies like yours and other companies, like I can't imagine Zapier, If This Then That, yourselves, et cetera, that we might not see more of these get togethers.
1:07:09And these products can remain independent. You can buy them that way, but they could also be deeply integrated and come together. Just a great vision. So congratulations to your general catalyst partner. Who was that that came up with this idea? Give them a round of applause. Heyman's brokered it. Yeah. Heyman's an agent. Yeah. So he's, he's your agent. He's your, he's agentically looking at the portfolio and saying, Hey, sometimes one plus one equals three. You know, and I think that's how VCs look at this great job. And we'll talk to you in three to six months when you're, when you're out of the weeds.
1:07:39Sounds great. Thanks for having me. Ah, appreciate it, brother. And that's, you know, that's what you get here, Alex, on the short term is we're able to pull the guests who are breaking news. This is all news that happened in the last 48 hours and we got the first on this week in startups for founders by founders getting it done absolutely also this just reminds me of my favorite headline of all time which was from 2014 entitled pure storage ceo acquisitions always suck worse than you think so i'm looking forward to seeing how that was wrong 10 years ago no no it's you know m &a's hard for every youtube deal or instagram deal you know you got another 20 that just returned nothing but If you look at those two deals and use them as a proxy, those two deals define the modern Google and the modern Facebook.
1:08:27Facebook didn't buy Instagram. Facebook would be in decline right now, I predict. Oh, massively. And it would have been, I think, for the last three, four, five years. I mean, seriously, when's the last time you fired up Facebook on purpose? Never, never. I mean, the only reason my Facebook's being updated right now is because once in a while, I'll do something on Instagram and it gets syndicated there. Another great guest. All right, everybody. What an amazing episode. We'll see you again on the next one. Remember 2025, we're Monday, Wednesday, Friday at 10 a.m. Pacific, noon in Texas time. And then Alex time, Pacific Coast, 1 p.m.
1:09:05We're live, live, live on YouTube and x, x.com slash Alex, x.com slash Jason, x.com slash twi startups and youtube just search for this week's startups hit subscribe hit the bell subscribe to alex's amazing newsletter cautiously optimistic cautious optimism cautious optimism cautious optimism and that's uh on sub stack where you just type in cautious optimism alex wilhelm thank you to our partners and we'll see you all next time
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Todays show:
Alex and Jason discuss Databricks’ record raise, TikTok’s big day at the Supreme Court, Shishir Mehrotra on the Coda-Grammarly merger, and more.
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(0:00) Jason and Alex kick off the show(3:38) Insights on Databricks' private fundraise and venture capital trends(8:37) Predictions on unlimited free energy, water, and food
(9:41) Coda - Empower your startup with Coda’s Team plan for free—get 6 months at https://www.Coda.io/twist(14:25) The declining costs of cloud computing(17:12) Evaluating growth rate for startup valuations(19:46) Competitive landscape: Databricks vs. Snowflake
(20:48) Lemon.io - Get 15% off your first 4 weeks of developer time at https://Lemon.io/twist22:07 The strategic importance of selecting the right customers26:34 Venture capital communication and the ghosting phenomenon28:43 TikTok's ongoing legal challenges
(31:25) Gusto - Get three months free when you run your first payroll at http://gusto.com/twist(32:33) Shashir Mehrotra on the Coda-Grammarly merger(37:16) Vision and applications of the Coda-Grammarly partnership(42:35) Future of AI agents and Grammarly's role(45:13) SaaS industry dynamics and AI's role in upselling(49:10) The impact of AI on job automation and workforce productivity(54:40) Team sizes and AI-driven productivity debate(57:18) The future interaction with AI agents(1:00:40) Efficiency gains from combining Grammarly and Coda(1:02:02) The role of ChatGPT and AI in social media(1:03:46) Tailoring AI tools for business needs(1:06:26) Lessons from mergers and acquisitions in the tech sector(1:08:08) Strategic acquisitions and their importance in the tech industry
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