In short
This Week in Startups - Episode E2010 Summary
Episode Title
Summarize Anything & Discover Connections with Recall’s Sankari Nair
Episode Overview In this episode of "This Week in Startups," host Jason Calacanis interviews Sankari Nair, the founder of Recall, a tool leveraging AI to help users summarize and connect information from their online activities. The conversation explores the product's features, pricing strategies, potential applications, and the future of knowledge management in both personal and business contexts.
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Timestamps & Key Topics
0:00 - Introduction
- Jason welcomes Sankari Nair to discuss Recall.
4:15 - Automatic Taxonomy Creation
- Recall Features:
- Automatic content categorization and creation of summary cards based on web content.
- Dynamic tagging allows for effortless organization of information.
8:11 - Recall’s Augmented Browser
- Web Content Indexing:
- Discusses the functionality of the browser feature that connects previously consumed content to current readings.
- Visual knowledge graph representation of stored information.
14:39 - B2B Applications & Multiplayer Mode
- Importance of institutional knowledge capture in companies.
- Multiplayer mode discussed as a feature to facilitate collaboration and sharing among teams.
20:40 - AI Costs for Summarization
- Discussion on the evolving costs of AI summarization and model selection.
- Current summarization costs have decreased significantly over time.
22:08 - Personalized Learning Features
- Recall's Review System:
- Adaptive quizzes based on saved content to enhance user learning.
26:10 - Concept of Luxury Software
- Exploring the idea of luxury software and its implications for pricing and market fit.
32:34 - LinkedIn Integration & Knowledge Graph
- Visual representation of user knowledge and how it aids in recall.
35:26 - Demonstration of Recall's Quiz Section
- Interactive quiz feature showcased during the episode.
40:43 - Final Thoughts on Startup Journey
- Reflections on the startup experience, investment opportunities, and future plans for Recall.
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Key Takeaways
Features of Recall
- Summary Cards: Automatically generated summaries from various content sources.
- Dynamic Taxonomy: Self-organizing structure that categorizes and links related information.
- Augmented Browser: Enhances reading by linking previously viewed content in real-time.
Pricing Strategies
- Current pricing for Recall is $10/month, with discussions around luxury software pricing (potentially $100/month for advanced features).
- Emphasis on providing value that justifies higher price points through unique features.
Future Directions
- Expansion into collaborative features (multiplayer mode) to foster team knowledge sharing.
- Investigating integration with other platforms (e.g., Gmail) for a more comprehensive knowledge management tool.
Importance of Institutional Knowledge
- Discussion on capturing and retaining knowledge within organizations to prevent loss when employees leave.
- Recall's potential to serve as a "company second brain" to preserve institutional knowledge.
Final Thoughts Sankari Nair's Recall presents a promising tool for both personal and professional knowledge management, utilizing AI to enhance the way users interact with and retain information. Jason Calacanis expresses enthusiasm for its features and potential impact on productivity and learning.
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Additional Resources
- Recall Website: [getrecall.ai](https://www.getrecall.ai/)
- Sponsor Links:
- [Squarespace](https://www.Squarespace.com/TWIST)
- [Lemon.io](https://www.Lemon.io/twist)
- [CommandAI](https://www.command.ai/twist)
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This episode offers insightful perspectives on the future of knowledge management through AI and the evolving landscape of software solutions for startups.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00Jason, I've been talking about this knowledge graph, right? What is a knowledge graph? It's just a type of database. It's behind the scenes connecting everything. But what we also launched was just the visual representation of it. When you look at your entire knowledge graph, you know, it looks a little bit nuts. I've been using Recall for ages. So this is just a full view of my entire graph. It's nuts, you know. So beautiful. It's basically a combination of ingested content, but also user-led. So it's this perfect hybrid. Wow. This Week in Startups is brought to you by Squarespace. Turn your idea into a new website.
0:33Go to squarespace.com slash twist for a free trial. When you're ready to launch, use offer code twist to save 10 % off your first purchase of a website or domain. Lemon.io, hire pre-vetted remote developers. Get 15 % off your first four weeks of developer time at lemon.io slash twist. And Command AI, seamlessly integrate an AI-powered guide into your software, making navigation intuitive and interactive. Visit command.ai slash twist to get a custom live demo. All right, everybody, welcome back to this week in startups. We have a great guest today. She is doing a really interesting company called Recall that is using AI to help you recall things that you've seen or consumed in your browser and then build a language model around that her name is sankari naya but you like to go by sanks you went to our accelerator and you have a great demo of the product you're building and we got very excited about what you're building because gosh i'll be honest uh i love it and i love the idea of collecting information while you're going around the web and then having that available to you in a what we used to call a mind map or etc so what you know why don't we show the audience what you're building if you're listening we'll sportscast this, but show us what Recall is.
1:56Oh yeah, absolutely. So we like to refer to Recall as an AI-powered encyclopedia, but what you're looking at right now is actually my personal Recall knowledge base. And Recall consists of what we call summary cards or Recall cards. And so if I just click on one, Jason, basically what you can see is you can see a link to the full-form content. In this case, it was a two-hour-long podcast by Huberman. you can see that it's been automatically categorized and that category is based on the topic of the content but it's also dynamic so if i have you know something else related to skincare for the listeners i'm looking at a podcast on skin and health i've got a tag called health and skincare it'll be dynamic so that your taxonomy is always staying the same everything's fully edited and if you scroll all the way down you can see these what we call entities that have been extracted and entities are keywords uh with a high relevance score and these numbers next to it means that it's actually been mentioned several times in my knowledge base so you can see sauer has been mentioned in uh this episode on skin and it also relates to all of my recipes uh on sauer so if i just come back here yeah what you can see is just mark that episode of hooberman talking about skin health it then wrote a summary of it it then tagged it and then you don't have to do all of that so back in the day we'd have something uh like delicious and we would bookmark a bunch of websites and then keep them in collections and it was very manual because you had to tag them yourself here it's tagging it he mentioned sauerkraut so you have that tag but if you click on the sauerkraut tag it goes into your entire knowledge base and it found sauerkraut in recipes as well.
3:42So it's automatically connecting all that knowledge like your brain might. A hundred percent. And that's actually what it's based on. So like a knowledge graph, it literally works the way your brain works. It's also self-expanding, which is why it's really great when you're researching a topic or you're looking to grow your knowledge on a particular topic. And Jason, you mentioned bookmarks, but actually one of the great things is you can actually just ingest all of those bookmarks directly into recall. It's great for the whole stock and those bookmarks get turned into recall summary cards. So you can already take what was historic and bring it into into recall.
4:15Okay, so now we've got this beautiful taxonomy on the left here. I see you have articles, books, business, business technology, cocktails, apparently somebody likes a cocktail now and again, psychology recipes. So you have a you can have a you can go find your best cocktail, talk about business and then go into the psychology of it and productivity. So this is really fun. Now, did you make those top level categories on the left or were those automatically created those were all automatic so i haven't created any of them uh they've been automatically created automatically ingested and so that's really actually what we want to take care of it's sort of just happening for you behind the scenes you don't have to put a lot of effort coming in curating tagging it's done it's self-organizing okay so to put one of these cards in if we were on a website how do you get the card into it do you cut and paste the url do you use a toolbar show the audience how you get that yeah i mean podcast in there because we're using a desktop here obviously for sure so there's multiple ways we've got a web app and a mobile app when you're on the web app you can just copy the url of any online content so let's say i'm looking at this blog i hit the plus sign i paste in a url and you can see that a summary has been created in seconds i've got a tag you know this was business marketing product-led growth it's fully editable and i've got those entities if i'm on my mobile device i I can actually just share.
5:34So I'm out and about, I'm on the go, I'm digesting content, I can share it. And one of the most popular ways is with our browser extension. So if I go to, let's say, this podcast, it's around two hours long, before I want to commit to listening to two hours of content, I can just hit this browser extension, and you can see that it just generates a summary in seconds. The speed is also what I think is interesting. It's dependent on if someone's generated a summary for it before. And so we cache that summary. and so there's this great network effect where if you generate it the next person's actually going to benefit from the speed fantastic okay so once you have all this knowledge into you know this recall database uh it's stored locally it's stored in the cloud where does the data exist all these summaries so this is stored in the cloud if you save it if you save it it's stored in the cloud but i actually have a really exciting feature that i'll show you in a minute i know jason you were talking about i don't want to hit save i just want it to happen for me and so we have um i'll do a demo for that in a bit but this is where it's just crawling and it's just going to be saving as you're going you don't have to do anything yeah this is a great idea yeah let's do it so you and i had a conversation just so people know you went to our accelerator i don't know did you go to founder university of the pre-accelerator too or no it was just the accelerator just the accelerator so we met you i think you had like a prototype i don't know if you had any paying customers yet when we met you, but you were very early in this journey.
6:58And I said to you, you know, gosh, AI is so smart and getting smarter. It's kind of like having I don't know where you put it out. But I kind of feel like it's a really smart high school senior, or like an average college student. I was like, wow, you know, if I spend more than x amount of time in a browser tab, by definition, that means it's important. So I would like to have a setting when i'm just browsing if i do something for more than a minute on a page or 30 seconds like watching a youtube video for more than a minute it saves it if it's a newspaper article if i scroll up and down it saves it if i you know stay on it under 15 seconds maybe don't save it and then maybe have it say saving in 10 9 8 7 6 like you do on ways and then i you'd have a very big knowledge base and then you could do things like you think i remember an article uh but anyway show me what you what you built that's uh this is this is one of those vc specific feature requests actually not it was on the roadmap okay good this was on our roadmap um i mean i i think it was definitely from our jam that we got a lot of ideas from that but this was on our roadmap and we did accelerate it okay here we go so let me yeah let me see yeah basically this is just a normal article now in this example so i i've been struggling with insomnia lately so i've been doing a lot of research on sleep how to improve my sleep if you open just a normal article you know this is just what it looks like right yeah but if you open it with our latest what we're calling the recall augmented browser you can see these slight links on the page right and these links they're subtle right we don't want to disrupt your reading your reading experience they're actually links to things you've seen before and it could either be things that you've saved or it could just be things that you've seen before so i actually was shocked when i opened this and i was i was playing around with with the augmented browser and i was like matthew walker who's that i literally never seen that person and i've actually seen him four times and i hadn't even realized that but he was what you just did for people who are listening is in this article by huberman on sleep on his website he mentions matthew p walker it is in uh reverse type so it's white type on black so you can see it very clearly when you hovered over it it brought up a recall card with other times matthew walker appeared in your knowledge bases am i correct that's what just happened a hundred percent uh wow and not only that you can actually see exact little snippets that you might have seen them before so you can actually go and see this was a book that was recommended or in this example rem sleep is mentioned yes and if i want to skip to a particular element it actually zooms into where was rem sleep mentioned and what was a really long article this is more More than I expected you to do.
9:47So this is interesting. I'm reading an article in the New York Times or, you know, on a sub stack or something. The knowledge base recall ingest that article looks in the knowledge base says what topics or keywords in this article match what Jason's already consumed so that we can help him recall other instances of that, which I would think would reinforce memory and learning. Absolutely. And we just want to bring that experience of the knowledge graph seamlessly, effortlessly, and in the actual content ingestion stage. Because that way, it's just happening. It's just working for you. And it's part of your workflow without you doing any work.
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11:10You answer five questions and Squarespace's new AI tool is going to build you a gorgeous website. It's so simple. It's so slick. It's just brilliant. It's the future. Even better, you don't need to worry about what's under the hood. Analytics, SEO, payments, memberships, e-commerce. You can do it all. It's all included too. So here's your call to action. Check out squarespace.com slash twist for a free trial. And when you're ready to launch, go to squarespace.com slash twist to get 10 % off your first website or domain purchase. That's squarespace.com slash twist now does this automatically put the article into my uh recall or i just still have to do that manually so we're playing around with this i actually love your feedback whenever it's something that so you can see some yellow links and some are darker links a yellow link is just something you've viewed so you've not actually saved it and this will just take you to the original article a black link is one that's saved so we're playing around with ideas right now anything that you've just viewed it's all local uh none of that's going into the cloud and we could give you the option to then view that and recall maybe it's index maybe one in richard so we're playing around we're jamming on on sort of how we want to bring this experience to the user obviously it could get it could get nuts because there's so much you're ingesting and so that's the balance that we're trying to is trying to strike so i wonder here we're doing like a mini jam session which i do with founders all the time um you ever use ways um or in a tesla if you're driving home and you find what home is or office work is in your navigation system it assumes and it's been watching you that when you leave in the morning you're going to work and that when you leave in the late afternoon or you know at five o 'clock you might be heading home and when you start driving it just says you know navigating home and then it gives you a countdown you know and it says 10 9 8 7 6 boom and then it starts navigating if you don't hit stop and say don't navigate so what i would say is if i scroll through an article and i get all the way you know let's say i've spent more than 30 seconds on the article a minute on the article whatever i set it could put a little status bar that says adding to recall in 10 seconds nine eight and you say don't but if you don't if you do you just watch it go down boom and now it's in recall that's the way i would do it so then i don't have to take an action if i'm interacting with it for a long time it gets saved unless I stop it from being saved, right?
13:30It's like an opt-out. It's like a very simple opt-out. Opting out of it, yeah. But I could set it. If I interact with the webpage for more than a minute, I want to save it. Under a minute, I don't. Then you might have a lunatic who says, you know what, any webpage I wind up on, I want to download the whole webpage and I want the summary. And I think that's like a really power user feature is because webpages disappear. There is nothing illegal and fair use about you making a copy of a webpage locally. So as long as you're not storing it in your cloud for like everybody's use, but if I were to download a New York Times article, I can save that, right?
14:03I can print it. That's allowed. That's fair. So I like the idea of having the option to store original article and put into the knowledge base. So that if the article goes down, I have actually the full text of it. You have the backup. Yeah, I love that, Jason. I think this feature that you're showing here where it's connecting my previous consumption to this is great. I would like to also understand my Gmail or superhuman account. What I would like to also have is index my Gmail or hit my Gmail index and tell me if those topics are also in my Gmail. That's super crazy. And now that's a big amount of data as well.
14:39Absolutely. And that actually, Jason, also opens up more of the opportunity for B2B. And that's really part of the roadmap and a direction that we're heading towards. Yeah, I think B2B and I told you this earlier, multiplayer mode is going to be phenomenal for this and when you go into multiplayer mode what i've seen when founders do that and you worked at uber for many years so just so people know the yes did you see the travis interview from all in yet i did i did what'd you think yeah i thought it was great i really thought it was great yeah you know one of the really uh interesting things is when you do a group order on uber eats or you know you add stops or you share you know like um your affiliate code those viral moments really help things grow.
15:22Multiplayer mode. This is single player mode right now. But if I put it in multiplayer mode, I could invite the investment team to this. And we could say, anytime you see something interesting, share it with the investment team. Now I'm on the investment team. And I see that Kelly, Jackie, Bianca, Lucas have shared something. And I see them putting comments on it. Now I'm like, wait a second, my team found an article about product market fit i didn't know about it and we add it to the product market fit archive automatically then when we have a discussion about product market fit instead of everybody digging through slack or they're superhuman gmail whatever they use outlook it would just be right there and uh we go into recall and say hey what what is everybody contributed to the product market fit you know repository there and that would be really powerful oh absolutely we think about that as like a company, a collective company knowledge graph.
16:15Yeah. And this is a company. Exactly. It's almost like building your company second brain, because people always talk about second brain, but company second brain, I think that's I think that's when it gets really, really exciting. I have become obsessed with not losing knowledge in companies, because, you know, institutional knowledge is important. But you know, sometimes people stay with a company for two years, sometimes they stay for 10. And then all this knowledge gets built up. And then my partner, Mike Savino, and I are having this debate over oh my god this person's leaving we're going to lose all that institutional knowledge he's old school you know and really likes to keep people for a long time if people don't want to be at the company i don't like to fight keep them the company just because they have institutional knowledge if they want to go on to their next adventure i don't want to stop them because i think that's unhealthy and so i've tried to capture institutional knowledge notion poda and slack are the way we do that but we kind of this is another layer of that And so just to give a tip to the audience, the way I do this institutional knowledge is I do playbooks.
17:13And so in your company, you might have a playbook for how to deal with customer support, right? Or how to manage investors. And so what I do is I have my Athena assistant go to athenawow.com. And we're investors in that company as well. I have the Athena assistant record a Zoom with two people, and they just have a dialogue about how they do a certain practice. Then we take that practice, and it automatically gets transcribed and summarized by Zoom and by Notion and by Coder. They all have that built in now. Then we take those summaries, transcripts, and make a playbook. Hey, here's what this video is about.
17:50You can hear this person talk about how to manage LPs, how to write an update for investors. And then we have it there. next person comes to the company it's in notion or coda they can just pull it up watch the original video from somebody who hasn't been at the company for five years but five years ago they made the playbook and i think what you're building is so interesting in that regard and the ability for me to attach my notes on it and then share it with the team and have comments that makes it very hard for people to unsubscribe from the service so for me to rip out slack would be very hard because I want to be able to search Slack for a discussion we had about your company a year ago when we accepted you to the accelerator.
18:30I need that conversation. And so when you make this multiplayer, if people start putting comments in it, and then you have 100 people in your company who've used it, only 50 of them are still at the company. And it's five years later, and you've had 50 % attrition, which is kind of natural over five years, you'd still have all their knowledge there of what articles they read and why they thought this was important. So I just think this is so, so compelling in the future of knowledge sharing i'm going to get off thanks for coming to my ted talk but i'm so enamored with your company but multiplayer will be everything oh yeah i mean it's one of our biggest requested features uh we actually surveyed our users i don't even think i told you this stat but 58 of them are using recall for work for learning for productivity for research uh and so yeah super excited to to expand in that way right now startups have to do more with less.
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20:27And twist listeners get 15 % off their first four weeks. Stop burning money, hire developers smarter, visit Lemon.io slash twist. What does this all cost? And what does it cost you to, you know, share this? Because I told you like, listen, when you started, I think these APIs were pretty expensive, like summarizing an article or a podcast, a couple of pennies, right? So it doesn't seem like a lot until you have a thousand people on this doing a hundred items a day. And now you're starting to rack up some costs. How have the costs changed? What do you charge for this? Is it possible for you to lose money on this to do all this backing up and all this processing?
21:05Explain for people who are starting AI companies or thinking of it here on This Week in Startups, what the cost structure is and for doing all this stuff. Oh yeah, for sure. You know what's so crazy is you asked us a similar question all the way back in March and the answer was around 10 cents a summary and I just checked in on it and it's now less than a cent. So it's crazy how much more affordable these models are getting. It also depends which one. It depends how you're fine tuning. We also were one of those lucky - Which one do you like best? Take it, unpack that because people really want to know the details.
21:37Which ones have you tried? Which ones were great? Which ones work the same? Which ones are overpriced? Which ones are great value? So we started with Bison, which was Google's, one of Google's first. We then switched, and now we have a combination of fine-tuned ones. But for example, for our questions, so if you come to a, let me share my screen on this one. If you come to a card, and let's say I was on this episode, I can save it in here, and I can run a little quiz. This quiz is then chat GPT-4. This is GPT-4. So GPT-4 for the quizzes. We've got a combination of models for the summary. Wait, explain what quizzes are.
22:14We didn't even explain this. This is incredible. Yeah, I was actually really excited to show you. So basically, once you've saved content in, you can just run a quiz. And once you've run a quiz, it gives us a signal. The signal is, I'm interested in this content. And so once you've run a quiz, we actually add it to what we call the recall review. This is, Jason, what we actually got product of the month for in June. And the recall review takes all your cards that you've shown us the signal that you want to review. and we create a tailored schedule of learning for you. And it's based on your own learning curve.
22:46So if you're consistently getting something correct, we show it to you less. If you're getting it wrong, we show it to you more frequently. And so that's the space learning element of the recall review. So you can literally take a podcast and then create questions based on the podcast. Wow. And ChatGPT4 is really good at that. Yeah. This is this whole personalized tutor that is going to change the world because it's adaptive, right? If you already know all this stuff about peptides, you're not going to ask peptide questions, but if I don't know things about skin and sleep, it's going to ask me those questions until I really understand sleep.
23:22Exactly. And sorry, I know I completely then missed your question on cost, but basically it's gotten cheaper. we use a bunch of models um for summarization and entity extraction a lot is our own and then gpd4 for the actual quiz and our cost structure right now it's ten dollars a month or if you buy the yearly plan it's so i feel like i knew you were gonna i feel like i knew you were gonna say that i mean think about the value you're providing yeah so what i showed you now on the augmented browser it's not launched yet uh we're probably going to launch in the next few weeks and i loved what you said about the luxury first model and that we're actually maybe in the luxury software our world yes we're ideating on pricing for the augmented browser i really think it's a hundred dollar a month product and you should store everything i do and you should explain to the users this is for ceos vcs senior executives who can't afford to forget anything it's a hundred dollars a month we capture every single thing you do privately in your browser encrypt it you know and it's stored locally it's stored in the cloud and uh it's you know high fidelity and high speed if you look at superhuman that appeals to the top one percent of email users you know if there's five billion people using email that's a big number you know uh 10 would be 500 million so 50 million people you know superhuman is kind of essential for now if you have multiplayer mode like I just put in my company, Superhuman, but in the luxury software category, has the ability to create essentially a thread around an email.
24:58So if you were to email me and say, hey, we're doing our round. We want to know if you want your pro rata. I could then, in a square box, say, at Jackie, at Andre on our team, have we started the diligence review here? Please let me know what the valuation is and the revenue and our investment history. But they would see your email. So it takes the email as a private email to me, now exposes it to those three or four people, and we start a discussion on it. So we don't hit reply, like one of my new researchers did. I heard about this. I heard about this in one of your episodes. This founder has ugly baby syndrome.
25:33Yeah. That was right. It was literally this poor, really talented kid who works for me. Anybody under 30 is a kid now. he's like i just wrote back to the team am i supposed to fire beep for this with him on there oh my god as a joke as in like he didn't look at the cc list right right and just responded to a founder he has an ugly product therefore he has ugly baby syndrome yeah and he laughed he said i guess you're supposed to fire me i said or it's a learning lesson you'll never do any stupid like that again so he kept him yeah he's probably obsessing over who's in cc whatever he clicks in yeah but luxury software is a very interesting category explain to the audience why that's an interesting to you as a founder the concept of luxury software why is that an interesting approach to building a startup i mean it really does go all the way back to uber right and uber launching uber black uh and the way that that entered the market and then when there was enough demand than making it accessible for everyone.
26:35And I feel like it's a brilliant approach. It's definitely something that we're jamming on. And then when I think about recall and luxury software, where it comes into play is the cost element as well, right? Because today to launch something that's scraping everything, that's doing all of this processing, that's providing you with this value add, the reality is the costs add up. And so we want to strike the balance of it makes sense from a business perspective and it also makes sense from like a use case perspective and i think when we first launched this luxury first could be a great way to go especially when it also comes to then finding our product market fit specifically for that bundle or that package that we're looking to launch fantastic yeah you know i'm building an app for inside right now where it's like summarizing the news i'm using humans and ai and i've been really thinking about luxury software what would a person like me pay a hundred dollars for and i came to the conclusion i would pay like a hundred dollars if i could talk to the author of the piece so like imagine you're reading a story at a publication and i had a follow-up question i would actually pay a hundred bucks a month if i could actually know i could yeah do that so in here i think one of the interesting things about luxury software is if you sent me a summary of what i did yesterday for a summary every 100 web pages and that's part of the luxury software of eight sleep you mentioned before you are you know having uh founder insomnia pretty standard because you know when you go into founder mode insomnia could come after founder mode i did i did see you i did see your founder mode on the last i'm not endorsing founder mode except in rare instances um but you know if you can't sleep and then this wonderful thing that eight sleep added it's silly but profound they ask you to put your phone number in i said why did i need my phone number for my smart bed anyway they send you an update you know about 11 or 12 o 'clock with just a summary hey reminding you you got a 78 you got enough deep sleep but you didn't get enough REM sleep just be a little cautious you might be a little groggy today or hey you got a 50 you didn't sleep well last night you're gonna need to really focus on sleep tonight and just that little feature feels to me like so elevated it's like if you've stayed at a great hotel i'm staying at one of my favorite hotels in los angeles shutters by the beach uh which i've been staying at since 1992 i think 93 was the first time i stayed here if you were to call the front desk and ask like hey can you bring me up x after it's brought up they're going to call your room mr califanis i just wanted to check did you get your ice completely unnecessary they know the ice arrived I've done all likelihood or they're pretty sure it arrived because they have good people who work here.
29:17Little touch costs them very little. It's just a confirmation. And that's where I think luxury begins where necessity ends is the famous expression. Schmach told me that expression that I think the head of LVMH said. So when you think about what's necessary for recall, you get the job done. Now think about what's unnecessary, but very curious and feels good. storing everything like being able to download a youtube video or you know save a clip of a video and record your screen that's super interesting so now think about for me as a luxury provide as a luxury customer if you had a button that said record my screen when i'm watching videos or record my browser when i'm watching videos you could literally if i watched just seven minutes of a specific video you could screen record my browser now you're not stealing that content right it's not stealing of the content you just record in my window for me because i set something in my browser to record my screen now that might be the huberman part where he talks about sleep now i've got that seven minutes i listen to save as a video file now that costs money to store a video file but it doesn't have to be like the highest res version that's an example of like unnecessary luxury and then speed is the other one you know unnecessarily fast any other new features my god i love the quizzes i love multiplayer yeah this is going to be great what do you call the page where it highlights on a new page or previous stuff what is that the augmented browser augmented browser yeah we're augmenting your browsing experience very slight augmentation to your browsing experience augmented brain browser yeah i like it oh i like that abb um ab yeah abb i was just i was just thinking the abb all right we all know that building software is hard.
31:05And so is getting people used to your code. We're training new users to use your software intelligently. Sometimes it feels insurmountable, right? And I have to tell you, most tools built to help users get up to speed with new software are annoying as heck. Or like these low-wrench hat bots that users despise, or even worse, they ignore them. There's one company using generative AI to help users onboard without frustrating them, and that is the guide on your side from Command AI. It has a chatbot that gives personalized responses to user questions. Instead of like a basic Q &A and the thing seems dumb and it doesn't understand you and what you're trying to do, nope.
31:45Command AI is going to show users around your product like a live guide with the cursor included. Command AI can detect when a user needs a little nudge, right? And will help them down their user journey, giving them like a little product hint there or a special offer maybe to close a sale. It's used by all the unicorns that you know and love, Gusto, HashiCorp, AngelList, Sixth Sense, and so many others. And that's why they're killing it with enhanced user experience. EUE, I want you to understand that you can take your user experience up another level. So integrate an AI power guide into your software so that your customers can navigate your product intuitively and quickly.
32:24Visit man.ai slash twist to get a live demo. and start transforming how you and your customers interact with software, go to command.ai slash twist. Really powerful. And then I would really think about LinkedIn as a very specific, interesting data type. Because podcasts, YouTube videos, tweets, and LinkedIn are interesting data types that important people use. If I knew I had been to that person's profile before, and you're storing the URL of every LinkedIn profile I've ever visited, and when i visited again it says last time you were on this page was august two years ago i love that yeah but you don't have to take notes because we're we're recording all right oh yeah but we're who don't know this is we will don't know this is what we do in the accelerator all these great companies come and then we will sit around with 10 founders and just jam uh which came from travis came up with this concept of jam session and we just jam out about different ideas so here we are jamming out any other new features we should share before we were i wanted to just show you the last thing.
33:29So, you know, Jason, I've been talking about this knowledge graph, right? What is a knowledge graph? It's just a type of database. It's behind the scenes, connecting everything. But what we also launched was just the visual representation of it. When you look at your entire knowledge graph, you know, it looks a little bit nuts. I've been using Recall for ages. So this is just a full view of my entire graph. It's nuts, you know? So beautiful. But I can then hone in. Describe what the audience is seeing for those listening. It's basically a node graph of all of the content that you're consuming connected into this web of content.
34:06It's really magical. What's a constellation of stars in a way? A constellation of, absolutely. Or it could be like neurons in your brain. Yeah. Neurons in your brain. And this, for example, it looks nutty when it's everything, but I honed in on, I actually imported a bunch of topics on economics. I knew you were studying that Jason and I was doing an example for students I thought this would be a good one and you can say zoom into zoom into something in the center like what's connecting everything let's say in this example it's demand curve and I'm like what is that again I can hit expand and it would then enrich what demand curve is so pulls up now a bit more information on what demand curve is and the last is if there's things in here that these links aren't on things that you actually wanted.
34:50You can edit them, you can delete them, you can create your own. I could say that this was recommended by a particular person. I can create my own card. So everything is fully editable and it's basically a combination of ingested content, but also user-led. So it's this perfect hybrid. This is what I would really like because I, as I had mentioned, I went through MIT's course and you have the course up here that I took. And I remember the section on demand curves And I understand what a demand curve is. Hey, as you change the price, it could impact consumption. So if you make something really cheap, people might drink more of it.
35:28And then if you raise the price, they might drink less of it. So you take a cup of coffee. If it's free in your office, you might have five or six cups of coffee a day. If it's$7 at Starbucks and you have to take 15 minutes to get there, that's also a cost. You might do it once a day, maybe twice. So, you know, but if it was$15, you might do it once every three days. And if it was$2, you might do it three times a day, right? So you kind of figure that out. But this is where I'd like to take the quiz. This is where I'd love to start taking quizzes. Should we do it? Oh, here we go. We can do it right now, Jason.
36:00We can do a live quiz. Let's go. What is the definition of demand elasticity? The percentage change in quantity demanded for a percentage change in price, okay? The change in quantity demanded for a change in income, no. price at which quantity demanded equals quantity supply um i think the percentage change in quantity demanded for a percentage change in price is demand elasticity i think that's yeah i think i think so there we go we got that right yeah so we don't have to go through all of them if it's too much you well we'll do one more we'll do one more what happened to the demand for a normal good when the price decreases quantity demanded decreases quantity demanded stays the same quantity demand increases well it's a normal good it should make um the quantity demanded should increase i would think increase but it might be stay the same it might be stay the same it might be because it's a normal good i think normal good it's just normal i don't yeah i think maybe let's go it stays the same because normal good would be yeah let's see oh my god you know it was quantity demand increases yeah yeah i think that's the yeah yeah you did but that's the paradox of it i just got thrown by normal good because i don't remember the definition of normal good but a normal good might be like a banana it is a normal good today if the price but bananas used to be a luxury item were very expensive when they came from south america they would be very perishable it was hard to get them here etc now they aren't as perishable as you might think because you know you get the green ones they do last a little while they have a case on them but even still they used to be a luxury item now they're a commodity we make banana bread out of them come on so that's like a perfect example if it was a luxury item you wouldn't make banana bread out of you would covet it so much and i guess meat would be in this category as well if you had very little access to steak when you did get a steak you would covet it you would grill it um and you eat it you wouldn't make it into dog food you wouldn't make it into meatballs or hamburger you would you know want to you know really covet it so very interesting yeah This to me is just extraordinary.
38:07Okay. And so the knowledge graph lets you kind of dance around and see the different connections it makes. So you might have the demand curve come up in a Breaking Bad episode that you watched on Netflix and the demand curve for meth, not founder mode, folks. Stay away from that. Very bad. That's not founder mode. That's berserker mode. But it's kind of interesting when you think about it, right? Yeah. I mean, in that example, it would just be reminding you of the concept of demand curves. You're like, what's that again? And it's just this like subtle sort of active recall of things that you've saved in the past.
38:42Demand curve really does apply to actually drugs. If you look at the horrific in San Francisco use of fentanyl, fentanyl became so popular because of its addictive properties and its price. And the price is so cheap that I think you can get high for five or ten bucks. and if it was heroin it might be like five times that amount and if it was some other drug i guess it might be even more and so the um what the police say is if you do enforcement even though it doesn't seem like it's working when you do police enforcement price of the drugs go up do you know why i'm guessing it's a little bit riskier to it's riskier and yeah you it's a very practical thing if a drug dealer gets arrested the tradition is that they get a stipend from the cartel to keep paying their family even though the person's in jail so you get paid for being in jail oh i didn't even know that i didn't even know that so the dea and the doj you know they came into california and they said hey listen if we want to solve this problem you got to arrest the drug dealers i'm like oh well two more will pop up it's like yes two more will pop up but the price of fentanyl will go 3x because you now have two drug dealers in jail one on the street selling you have to pay for all three of those the costs of everyone who's not making it and you have to cover the cost of lawyers and you have to cover the cost of it being turned off for a day or two while you find another drug dealer and recruiting a drug dealer takes time money effort so that's like very interesting when you start thinking about demand curves um this is amazing i'm so excited for multiplayer mode and for the augmented brain browser uh i think it's just so great what you're doing and um you know i'm a paid subscriber as you know and i love using it so continued success and uh if people want to go use it they can just go to get recall.ai get recall.ai if somebody has recall.com call me we'll negotiate we'll negotiate maybe you can get a little bit of equity in this great company whoever's got recall.com just so great to be in business with you excited that you let us come on the journey with you invest and if you would like to come to our accelerator founder university the pre-accelerator or get the direct investment from our firm launch.co slash apply launch.co slash apply no no m there it's not a.com it's a.co launch.co slash apply is a common application for all three ways we invest pre-accelerator founder university launch accelerator which you went to which is 125k and then direct investing all at the same exact application URL.
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41:14And we'll see you next time on This Week in Startups. Bye-bye.
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Timestamps:
(0:00) Recall’s Sankari joins Jason
(4:15) Explanation of automatic taxonomy creation and adding content to Recall (8:11) Recall’s augmented browser feature and web content indexing
(10:26) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST (14:39) B2B applications, multiplayer mode, and capturing institutional knowledge
(19:15) Lemon.io - Get 15% off your first 4 weeks of developer time at https://www.Lemon.io/twist
(20:40) AI costs for summarization and model preferences (22:08) Personalized learning features and Recall pricing strategy (26:10) The concept of luxury software and jamming on potential features (31:00) CommandAI - Visit https://www.command.ai/twist to get a custom live demo.
(32:34) LinkedIn integration and visual knowledge graph representation (35:26) Jason and Sanks play with the quiz section of Recall (40:43) Final thoughts on startup journey and investment opportunities
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