SPEAKER_00: okay everybody welcome back to twist february 11th 2026 it is ao 17 the 17th day after open claw appeared here on this week in startups and we have been claw shotted with me presh dinesh kumar who

SPEAKER_02: worked with me for many years at launch and he is the co-founder and ceo of the wellness company which we incubated at launch which is the venture firm that i run launch.co

SPEAKER_03: he's got five products in market go polar for people who like to jump in cold water sunseek for people who like to get sun uh and a bunch of other ones and we'll talk about that as well but presh

SPEAKER_04: you too as a founder have been watching open claw this new agentic a platform that is open source called open clot was previously called clawed bot but we're not going to keep reminding people of that it's open claw it's open source and it basically lets you create personas replicants

SPEAKER_01: agents all of those things we like the term replicants we're going to use that here so when did you first see open claw what did you think and then what did you build thanks for having

SPEAKER_06: me on jason so first time i saw it was maybe two and a half weeks ago uh just on twitter going viral as claude bot and then uh first start going viral didn't didn't play around with it and then it was just my entire feed and so it's like okay i gotta try try something out here installed it on an old macbook that i had and then just started started talking to it and then basically learned how to use the product through interacting with it and then i was like oh blown away with all the use cases so i have uh i have set it up i have like i guess three or four examples that we can we could run through

SPEAKER_01: yeah let's go through them and so tell us the first example show the first example you know how we do

SPEAKER_06: it here on twist so right here first thing uh jacob from your team emails me this morning and wanted

SPEAKER_09: to see what i was going to talk about in the open clause segment and so the first thing we'll get into how i set this up but the first thing is i tag my assistant who i call awa and awa goes and actually creates a document of the use cases that we had been having a conversation uh through telegram

SPEAKER_03: and and creates the stock and sends it to jacob so and did you ask awa to do that did you ask awa

SPEAKER_06: to create the document and ship it so awa is connected or filters you know through my email

SPEAKER_09: and then sends an email to me or sends a message through telegram saying you know uh jacob wants to see the use cases i'm talking to awa saying talk about create create a document and send it back

SPEAKER_10: for use cases that you know we we implemented and so it's created this doc and i can pull up the doc

SPEAKER_09: later at show but this was just like done in five minutes right from when jacob reached out to me got

SPEAKER_01: it and so it's like having an assistant it's like having a chief of staff yeah boom you got the document up and running and then what'd you do next these are some other ones that are pretty useful so

SPEAKER_10: i'm in uh diligence right and one of the questions is uh in the diligence questionnaire is like uh can we talk to some users or customers of your products right and so one thing i did was talk to awa i was like awa you know do you have access to my postdoc i couldn't remember if i had connected it postdoc is an analytics platform and it's connected to all my apps and can see usage over time and get into the nitty-gritty with you know active users etc and so i am talking to awa here um and i ask it to pull my active users for tempo one of the products that we that we have here at the wellness company and so awa goes through uses post hog filters through the project which is for tempo specifically and then gives me a list of the users and then i asked it to create it you know into a into a google spreadsheet and then from there not screenshotted here i had awa go out and send an email to those to the users that i specified uh asking if i can use them as a reference and so this was like done in five minutes basically

SPEAKER_02: wow so this is a multi-step task it requires intelligence if you were to ask chat gpt

SPEAKER_01: you know or gemini or just any language model to do something like this they would say well we don't have access so therefore we'd shut it down if you use open claw and you authenticate it not only will go in there and get the data it's going to think of what other steps you want it to take and it can go out and then connect it to your gmail so for people who are new to the open claw revolution here

SPEAKER_17: or the agentic revolution llms have gotten really smart but they have been powerless they've been sandbox they've been kept essentially in a corner we basically took ai and we put it in a little

SPEAKER_01: closet now you let the ai out of the dungeon and you say here's the keys to the kingdom i want to trust you to go do things and it goes and it does things and that means you can run your business a lot faster this is somebody who you would have had to pay essentially you know it was a mid-tier employee 40 bucks an hour 80 000 a year 70 000 a year to have somebody who's capable of doing this

SPEAKER_06: correct pressure yeah you would you would have someone who could you know you've asked this question when i used to work for some context i used to work for jason uh you would be like pull up

SPEAKER_10: you know pull up the last 10 companies that we invested in that are consumer businesses or something

SPEAKER_06: right and so i would go and go through an ocean and and yeah spend that was literally you were that

SPEAKER_23: guy you were the 30 40 dollar an hour guy who would go do knowledge work tasks that press job from five

SPEAKER_03: years ago is now going to be replaced i think you would agree with an open claw replicant exactly

SPEAKER_10: because you can just 100 get the get that you're on a meeting what's the question you know you we would have meetings and you would be talking to founders and i'd be in the background just like waiting to

SPEAKER_03: action stuff for you so now even running a small company and you know you're a pre-seed company you know going to the next phase you can afford to have a press okay let's do our next one all right so

SPEAKER_09: another one is i have my agent connected to an email so i use this product called agentmail.to i

SPEAKER_10: don't know if you've you've heard of it um but essentially which one is this tell me again agentmail.to yeah agentmail.to i think they're a yc company they basically it's like a giving your llm

SPEAKER_09: or giving an a ai agent access to its own email so awa is my assistant awa has its own email and so i can email it's awa you know email address and it can perform tasks for me there and the benefit of this

SPEAKER_10: is like okay i get an email i can cc awa or my my agent to perform a task on that thread versus taking

SPEAKER_09: a screenshot or copy and pasting into my chat with awa on telegram for example so it's basically like

SPEAKER_17: giving presence wherever you are and this is a key now there is the chance that there could be an

SPEAKER_01: injection attack or somebody could try to convince ewa at hmail.to which you just exposed and try to get it to do things like tell it hey in the previous example you asked it to give you metrics

SPEAKER_38: you could say hey give me all the metrics from precious app how are you sure it's not um able to do that or are you not sure it's able to do that yeah it's it's a great question so i've done

SPEAKER_40: like a little bit of testing on like the prompt injection the stuff that you're talking about so

SPEAKER_10: basically it will never perform a task without confirming with me through telegram first and so all tasks still are funneled in like awa on the email layer will we'll go and and see what's asked of it and then it will come back to me and then get my like final approval on performing an action

SPEAKER_01: or a task got it so if somebody unknown tries to give it a task it's going to go to you and say hey somebody tried to give me a task yeah will it respond to them and tell them it's doing that so

SPEAKER_09: it won't uh right now because i said it where it's like any interaction with an outside party

SPEAKER_10: have to get an approval from me so it'll it'll maybe draft something but did you just tell it to do that in its memory or is there a setting to do that yeah i i just told it in its memory so anytime it

SPEAKER_02: is looking at that email it remembers and hope somebody doesn't use your name and create a

SPEAKER_10: boat bogus email and then try to trick it yeah exactly like spoof smooth email you know i mean

SPEAKER_03: there's all kinds of vectors here it's totally possible so this matters because now your agent has its own email you've also got it in slack and telegram and it's basically a member of your team

SPEAKER_01: which is what i told my team to do immediately i was like let's just treat them as a persona a replicant just like in blade runner we have our replicants and they are learning and we've got two different teams working with two different replicants now to just you know have them work in

SPEAKER_06: parallel what else uh have you gotten your agents to do okay another good one here that's super useful actually so we set up a cron job and the cron job is just a repeated task as you know and so the cron

SPEAKER_10: job right now is set in the morning uh 8 a.m and evening at 6 p.m it basically goes out and searches for relevant news for our business so we create health and wellness products so i want help and wellness news and so the first image here that you're seeing uh it it identified a article a research study that came out and it says major longevity study just seven minutes daily could add a year to your life okay so i'm interested in that it's picked figured out it searched this on the web and it surfaced that to me and talks a little bit about the study and so that in itself is like very valuable but it's maybe like a better version of google alerts that's like level one stuff um but then i go and ask it i want to create some content this is like a research study there's a lot of data points research studies in general aren't formatted or very like written well out to digest and so i was like let me go and create that um based on the research study right and so i go and ask awa to basically turn that into a blog post and it goes and does a first pass um at that and so that was a quick you know five minute interaction i got a new research study sent to me let's make some content and now i can go and put that on my blog the next step which i haven't executed on yet but it's very much possible is it's written the draft i'll give it some edits and then i just get it to post it on the website uh

SPEAKER_52: on our web on our website and this is why we're going to have so much ai slop in the world it's just

SPEAKER_56: gonna be too fast listen we all know chat gpt is amazing when you just need to look something up quickly but if you're not going really deep and getting strategic when you write your prompts you're not getting the most out of this incredible tool but i've got a free resource from our friends at hubspot it's called advanced chat gpt prompt engineering from basic to expert in seven days hubspot is giving you a complete system for structuring chat gpt prompts using the roses framework role objective scenario expected solution and steps thinking about your prompts this way is a huge game changer and it's taken me from just hoping i get the right output i'm looking for to knowing with confidence that i'm going to get the information i need organized the way i want it so level up the use of your ai and download the guide for free at click hubspot.com twist2 that's click hubspot.com twist and the number two or find the link in the description and thanks to hubspot

SPEAKER_03: for sponsoring this episode have you thought about having it do other steps like make me a promotional

SPEAKER_02: graphic for instagram x linkedin and publish that draft to my sub stack put it into linkedin because that's where you know you start thinking about the tasks that when we were working together i would write an essay in a google doc i'd give it to you and i'd say okay go ahead and we'd have this checklist of 20 steps that you had to go do and you would spend two hours doing all that work for me here

SPEAKER_03: like you have those next couple of steps have you connected to like nano banana or an image generator yet to come up with uh you know collateral for it i have connected to nano banana but haven't haven't

SPEAKER_10: automated a process out yet so right now it's just based on like input if i asked it to to create the graphic it would do that i don't have an example here but oh this is good because you know what i just

SPEAKER_03: realized is you're behind us so we are doing similar projects but in some of our projects we've actually got it going and making collateral images to go with it uh and starting to think about that so what's so much fun about this is none of the you know things on the checklist hey i'm making a social media post i'm making a blog post i want to super distribute it i've got a long tail of checklist items who wants to do that why not have a replicant do it and then just check their work and you already trust this obviously right you trusted to get it to 80 80 what percent do you think yeah i think i think

SPEAKER_09: 80 80 90 sometimes even 90. that's why i'll always have it send back like in a doc for example of what it's done and then i'll do like final approval or edits and then send it out all right what next all

SPEAKER_10: right last one here is customer support so this one's big so again another con job that kind of monitors the inbox and right now the inbox is kind of read-only so it'll never send anything from my personal email it doesn't have the permissions to do that um but it'll it'll surface it and give me relevant stuff and so one thing is it searched here my inbox for a support email um and then it

SPEAKER_40: researches or it identifies that it's a bug and then it researches that bug because it's connected to my github uh and so now it has access to my code base uh and so this is interesting because now

SPEAKER_10: it's making the reference finding the issue identifying what it might be in the code base and then giving its solution um and then i have it sent to slack uh in our bugs channel uh for the product and then it in it and here you can kind of see the example oh yeah here i have a screenshot uh so it puts it in

SPEAKER_09: slack of the bug what it investigated uh what likely causes this um what was the bug here what does it say uh so this one was uh it was like a water temperatures api um bug and so in the watch this

SPEAKER_10: was for gopolar when the user was submerging it in a specific activity type it wasn't triggering the

SPEAKER_02: water detection so that was a bug either in your software or the apple watch so there was a bug from a user that they weren't getting the recording of jumping into a 40 degree ice bath so they send that

SPEAKER_01: bug report in it the takes that from your email analyzes the bug report and says where is the relevant code in the product and then it went and checked it did what did it tell you to do what was the report back and it's advice to you tell us what it told you to do and and would you to give you two or three

SPEAKER_09: possibilities yeah so it gave us it gave us so you can see here it says likely causes in order of

SPEAKER_06: probability which is which is excellent wow so it goes and tells us you know there's a there's kind

SPEAKER_10: of like a watch api that could be incorrectly configured there it could be an apple related like hardware issue and then the next step jason which was like i didn't use cloud bot for this but i have clawed insider slack and so i just tagged clawed in this as a thread and clawed went and fixed the bug and then then just create a new branch for me to go and test it so i literally just went from email customer support to agent identifying the bug and giving a suggestion to then clawed um slack

SPEAKER_09: integration fixing it creating a new branch for me to test and then i went and tested it on my device

SPEAKER_04: to see if it was fixed all right so let's talk turkey here pressure you're running a startup and

SPEAKER_02: i want you to think this question through you're running a startup you worked with me for five six years uh investing in startups we watch people run them one of the issues was always if you were making niche products or products for a niche like you're doing the number of people who jump in cold plunges is low millions of people so this isn't like you know a product that everybody's going to use the issue was could this ever be profitable because you needed to have a team of

SPEAKER_01: 10 people when you started with me 10 years ago 10 people to do a modern day app was kind of a minimum those people would cost on average 100k each you needed somewhere between a million and three million dollars to run per year an app company now you are running an app company but you're using this agentic technology open claw so my question is what does that let's call it a minimum of a million dollar a year budget a minimum of 10 people or so what does that look like in the future so what's the answer presh what is it going to take to build a modern app company if you were all in on open claw

SPEAKER_40: it's a great question so just to also like preface it like in this past year with ai tools not obviously

SPEAKER_10: using open claw we shipped built and shipped uh three four four consumer ios apps and i think that was only possible obviously with all these tools and it got significantly faster towards the end of the year in 2025 but i think like budgets can be used so a million dollar round let's say you've raised at this point you're building 10x faster sometimes even more you're like on a product level but now you can just run you can you can afford to run more experiments and a startup is just a handful of experiments that you're trying to figure out and like prove out a thesis and now you

SPEAKER_09: can prove about multiple theses at the same time because of these agentic tools so your take on it

SPEAKER_04: is you can do three or four products at once which would lead me to believe that the cost went down if

SPEAKER_02: if you think you can do three products at once and test them the cost will go down by two thirds you'll

SPEAKER_06: need three or four people instead of 10. definitely because you you can start to just automate out rules

SPEAKER_09: or yeah basically tasks or right like what tasks can you automate out uh and that just that number is

SPEAKER_04: i think just increasing every month see this is important because i saw the open claw founder had said

SPEAKER_03: he thinks 80 apps are going away i might take the other side of that bet i might think we might see two or three times as many apps because apps are going to get so affordable to build and maintain and to improve that you know if you want to make like i use a skiing app called slopes yeah that app would you know the fact that that app exists was like crazy to me but now it doesn't seem crazy to me

SPEAKER_02: i think you could make one that's not just slopes but it is for snowboarders or not just snowboarders you could then go to snowshoers or cross country and you know you're now slicing slicing slicing but improving improving improving and making the product better and better we've got a brand new

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SPEAKER_01: we've got two amazing guests today that we're going to bring on now one is sean lu and the other is vishnu they are both one-shotted they have been claw shotted they have been open shotted whatever it happens to be vishnu thanks for coming on the program welcome vishnu and let me also bring on sean will come on at the same time sean we talked about your product on monday why don't we start with you actually sean show us what you built and why it's important i know that one of our guests said oh i don't think this is super impressive on monday i was like well i think this is pretty impressive so like most you know innovative things you could be polarizing but show what you built and

SPEAKER_89: why you built it yeah sure so let me start streaming here this is the app so you can see my live stream

SPEAKER_04: view okay so i'm gonna oh you're wearing glasses that are smart glasses what smart glasses are you

SPEAKER_89: wearing which which brand uh it's matt raven meta ray band got it so this is the gateway of the um callbot uh open cloud extension so here i'm gonna um start the ai so which is powered by um gemini

SPEAKER_03: and obviously the meta glasses have some sort of an api or do you just hack into them hey gemini can

SPEAKER_96: you can you hear me yes i can hear you what can i help you with okay so uh can you add this into

SPEAKER_90: my amazon card okay and i see sean you're holding up a box flash lens wipes to your amazon card searching

SPEAKER_98: for them now so it is running it's executing and you can see it is searched in amazon and i see the

SPEAKER_88: search results is the wow flash 200 count box the correct one uh yes please add it to the card adding

SPEAKER_92: the wow flash 200 count lens wipes to your okay so you can see here it's added to the card so this

SPEAKER_89: is what i'm building right now basically is integrating the visual understanding to the open cloud so because after before this there's no visual understanding or if somebody wanted to do visual understanding people are sending the image frames directly to the open cloud or they're integrating the sdt or dts to their open cloud but actually i think that's not unnecessary so i just integrated the gemini life into it so basically it's a two-layer agentic system so firstly the gemini life will take care of every frame and also the voice interaction so basically it's the real-time perception and after that you know use the tool call to dedicate a task so basically what open cloud get is just a simple task um then you know execute and after that um you know get the feedback then you know um bring back to the gemini life and bring back to my glasses so just to recap for the audience

SPEAKER_04: you have the meta glasses on these are the ones that have cameras there's an api for that or did you

SPEAKER_106: just hack it somehow uh yeah they released they just released the sdk so you can uh use it got it so

SPEAKER_03: you tap into that sdk you take that live feed and you gave the live feed to gemini live which

SPEAKER_02: gemini live is when you like have a conversation with it but i guess you can also feed it an image stream so you're feeding every single frame or every 10th frame how does it work it'll take care of it

SPEAKER_89: the api will just um whenever you are um interacting interacting with it using voice um it'll take a frame but uh you can also engineering on top of that so this is incredible because if you were actually in

SPEAKER_02: the real world let's say we were having a meeting and we're doing a whiteboarding session i could be drawing on the whiteboard and it could be writing plans and taking the audio so you since quad since open claw doesn't have these tools in it you've got a layer between open claw and the glasses which

SPEAKER_12: is gemini live super brilliant is this going to be a company who are you what are you doing are you going to make this into some sort of a company what what's uh what's going on in your world exactly

SPEAKER_96: this is the new emergent uh capability that we first see um that brings visual capability to the

SPEAKER_89: agentic system and also brings the agent capability to the glasses you can see like before this all kinds of adamos of the glasses is all about instructions um teaching people how to um cook the mail but it's all about it's just like the chatbot it's basically the differences between the chatbot and agent so before this is all about um the chat gpt chatbot like um instructions asking things um as um required as queries so and this after this you can just directly use your glasses as the entry to the open cloud so i think that's the emergent capability especially why open cloud goes so viral is um you have to compare to cloud code you have to use your terminal or use the vscode or ide to interact with the um cloud code so basically cloud code is an agentic system but this brings this kind of agentic system to all kinds of entries so i think this is going to be unlock a huge potential

SPEAKER_03: huge potential yeah and then there are also generic glasses out there and there's webcam so you could probably find a pair of glasses on amazon or you know uh alibaba's store that are like 50 bucks that

SPEAKER_02: just have a camera that take a you know one frame a second you don't need to be posting some 4k of me skiing behind me you just need like what like every you know you just need like four shots a second or

SPEAKER_01: something to know what's going on in the world and to process this this is incredibly powerful and you could think about like somebody working in a store doing inventory and it's just looking at the just talking out loud and just being like okay looks like we have uh you know people have been buying a lot of milk we're running low on milk and you just look at it and then it sends to the milk purveyor how much milk we have left it looks at the dates and the expiration dates and then just puts an order in like imagine the person at costco running around this person runs around costco one person could probably walk through the store and without even uh doing any work could just talk out loud stream this and manage the store you could go from probably 10 managers at a store down to one and that's what

SPEAKER_02: people i think are missing here when we talk about open claw in the year of our lord a o 17 days

SPEAKER_03: presh what are your thoughts here when you see sean's very cool hacked together proof of concept yeah i

SPEAKER_115: think it's brilliant and i think like we'll see more the meta iteration cycles on the glasses have

SPEAKER_06: been pretty impressive i know that i don't know sean if that's the one you're using

SPEAKER_09: has this display screen as well that one doesn't have the display screen but yeah i imagine when you when you have a display screen that's also interfacing with you know maybe it's sending it to your computer but you're seeing like action items on your on your glass so you know exactly what it's doing versus just obviously how it's interacting right now just through text or mirroring on your phone i think that gets really interesting a question for you uh what personally as you've been exploring this technology what's the most interesting use case you've used personally

SPEAKER_89: with the glasses personally i think um it's about just add all kind of stuff um that i think i need to um buy more in my fridge so i just say this this this this and let it to just directly add all those bunch of things into the um shopping list dot txt and i use that txt to say oh just um add them to

SPEAKER_122: the cart and then i just bought it and then you buy and you use amazon to add it to your cart or uh instacart or whatever other service it's just amazon the amazon browser automation yeah but um not me

SPEAKER_92: personally but i think the coolest example i see is yesterday um a perfumer reached out to me to say

SPEAKER_89: it really unlocks the um huge um unlock to their uh their experience of um making the perfume for example so before that um he was integrating with uh their open cloud to just they have to text to it they have to use the uh map or the phone um like telegram to say oh i have this um chemistry and i added this much um but after this um he tried this um my repo and he can just directly say oh hey gemini uh what is this uh help me record this and then he has the agent uh he has an agent skill uh which is record everything into the air table so basically he organized all kinds of um perfume formula in that air table database so basically the how he uh make perfume right now is just therapy use the gemini to record this and dedicate the agent with the scale to record into the air table running a startup

SPEAKER_02: means you've got to manage dozens to hundreds of devices every employee at my company has a work phone they have a laptop maybe they have a tablet in some cases or a desktop you could pay for an entire it team to manage your software updates security patches and policing everyone's password in software

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SPEAKER_03: you into robocop and i was just thinking about this what a great idea it might be vishnu fresh sean to

SPEAKER_02: take this version and to give it to ice agents who are in the field trying to identify people and i don't

SPEAKER_01: mean to make light of the situation but you know some of these folks who are out there doing stuff for ice have been known to be less trained and maybe not good at threat assessment if this thing was giving you a real-time threat assessment and was like this person is acting in a peaceful manner this person is acting in a threatening manner and it was advising you what to do or things to look out for it it would pick up on hey this car is about to run into you this person has a gun etc long before a human could actually respond to it and if it could also be hitting the palantir database and saying

SPEAKER_00: hey this person is somebody who is at their 17th ice you know demonstration they uh actually attacked an ice officer previously there's a warrant out for them this person is a teacher and they're 72 years old and they're not a threat you know best advice is to de-escalate de-escalate de-escalate

SPEAKER_02: this actually would be super helpful in real time to assess these things okay we've got a lot of our

SPEAKER_03: notice what are notice notice are the loyal twist live listeners we do the show live sometimes so if you go to youtube.com subscribe to this week in startups click the live button get alerts put the bell on there's a little bell there you'll get an alert when we go live and then you can ask questions

SPEAKER_02: that's called the nodi gang because they have notifications turned on and a member of the nodi gang reed adam says do you think this will drive seed rounds down in total cap raised and equity

SPEAKER_01: purchased where valuations stay the same but founder gives up small percentage equity or do you think this will shift market to smaller cap raises at smaller valuations this is a great question from reed f adams press you and i have seen this over 30 years of me being in the industry and 10 you being in the industry we've seen a seed round a series a you know go from low millions of dollars down to hundreds of thousands of dollars to people just going to an incubator taking the 125k and getting a product to market or just getting a product to market very quickly so what i think happens is the founders are already keeping more of their company they could skip venture capital completely uh or and they could just bootstrap and the longer you bootstrap the less equity you give we have a term not a unicorn not a pegasus an alicorn a unicorn that has wings like a pegasus that alicorn we had a couple of them like calm where they were making so much money they would use their revenue to fund their next round and skip a round of funding each round of funding typically 10 to 15 dilution in the old days it would be like 20 to 30 dilution each round that's when founders wound up with low single digits or mid single digit ownership at the end now founders get to like 20 ownership by the end sometimes more that is what we're going to see

SPEAKER_00: more of my best advice to founders is to skip rounds what do you think pressure i think we

SPEAKER_06: saw the early cycle of that with calm and that was like pre-llms pre-ai where the money is useful is pre-seed uh where you know you have the idea and then you're going full-time on this thing and

SPEAKER_09: you're building out the product you maybe need some resources just for like yeah to have three

SPEAKER_02: people quit their jobs three people quitting their jobs is 30k a month it's 360k a year people take a 10k draw there's enough people in the world who can live off 100k a year 75k a year 150k a year you'll be fine as a founder vishnu welcome to the program i don't have your last name here vishnu

SPEAKER_04: tell me your last name and tell me ara when did you find out about open claw and are you in fact claw

SPEAKER_136: shannon uh very much so hey guys i'm just an engineer i i think i heard about open claw two

SPEAKER_138: weeks ago and it kept coming on my twitter and like okay by the end of last week i was like okay i gotta give this a shot and uh initially i actually tried this on my laptop and i was like okay let's see what it can do and the next day i opened and i saw eight open claw instances i've

SPEAKER_136: given it some tasks as you know running cpu 100 i was like okay this is not good at which point i decided to take it off and uh try to find a virtual machine and uh just try and see can i host this somewhere else you know that's where i feel more safer and you know all my keys and you know everything is not exposed because technically it has full access you know it's cloud it's basically rooted

SPEAKER_02: your machine so running it on your desktop where you have your coinbase account or your robin hood account or your password manager is a very bad idea so you decided let me put it in a virtual machine cloud so it's sandboxed and can't go too wild exactly yeah but that was interesting journey

SPEAKER_136: because i started off with okay let's look at aws or google cloud provider and i started off i didn't want to spend too much um typically uh you know there are free instances that are pro you know all of these big uh giants provide uh i think in gcp it is a easy e2 micro but turns out it's it doesn't work very well with those small instances because it needs a high enough ram i tried e2 micro it was small and i think at the end it was e2 medium where i finally got it working at around four gigabytes of ram but that was already 25 a month if you actually run it through and through and again i wasn't super psyched about something that i don't know well enough that you know is it actually going to be you know useful enough for me while i already have you know other subscriptions so i kind of went online and hunting for okay where can i find uh you know cheap enough host i explored a few different things uh i think there was hetzner there was a bunch of others one of them i think the cheapest i found was around seven eight dollars so anyway i set it up and then um i think two days later is when i had

SPEAKER_138: my aha moment i was working out in the gym and i was texting with it all the time and it just did

SPEAKER_65: certain things that i did not expect it to do what was the example that kind of one-shotted you i was

SPEAKER_138: tired of typing it all the time into it and i wanted it to be able to just hear my voice and do it so you

SPEAKER_136: know because you're working out in the gym you don't you know you don't want to go back no i've been there i've been there it told me hey i don't have a key you know do you have a deep cram key blah blah so fortunately i did have one and so i provided it and it just did all the setup itself

SPEAKER_03: it set it up and now it was able to answer it basically created its own software to talk to you and

SPEAKER_02: that is one of the things that i think moves people from you know being curious about the software to being all in is when it doesn't have a capability and it goes you know what if you want to talk to me let me research on the web okay there's seven different ways to do this these seem to be the two best this one didn't work this one did okay we're up and running that is a mind-blowing moment so you

SPEAKER_03: take all this and then you decide you're going to do what you're going to make your own hosted version

SPEAKER_138: for normies actually no that wasn't even the next thing so next thing was i was like holy shit this is so cool i texted all my friends like you know like guys you've got to try this you know it was like i guess the virality how open clock comes up and they were all i think over the next

SPEAKER_136: day they tried it but then it's like yeah the setup is hard and etc etc they were like so i just said you know what i have a vm and it probably so a lot of times this is idle you know it doesn't necessarily is using all of the cpu or ram i was like i'm just gonna post it for you guys and i'll expose like a container and give you this so that's how it started and they started using it and they loved it and i thought okay let me put it online and see if there's other people um the cost of actually running this if you do it correctly and you know you do shared resources uh i think right now it's still it's about a dollar and 25 cents you could probably push it to 99 cents pretty much

SPEAKER_03: per day per month per month just to have it running now you also have the llm builds so you created

SPEAKER_02: agent37.com and you can run your own instance for 3.99 a month or 10 bucks a month and now is this a good business to be in or is there a bigger vision you have because hosting open claw that seems like a commodity open clause obviously going to have their own hosted version there's it's kind of like wordpress hosting i don't know if it's a great business it's a good business there's two or three people doing it who have built multi-billion dollar businesses so i don't think it's a bad business necessarily but is that where you're going to go with this or do you have a bigger

SPEAKER_136: idea vishnu i mean i think it's a bit early like really it just started off as here's an experiment guys go try this and i was surprised over the last three days the it just kept growing you know like uh i initially it was 99 cents i bumped it up to four bucks or three three nine nine and um i think at this point i have around 71 and it's still growing users who are all actively using it um so yeah it was just totally unexpected in terms of long term i mean we'll see where it goes i mean i'm committed to seeing it through given you know how rapidly it is growing are you do you are you an entrepreneur are you a consultant what do you do in your day job ah no just an engineer i have some time off uh to take care of some things and this just happened to be a moment where i was like okay let me try so

SPEAKER_04: if i were to give you 25 000 be your first investor have you come to my accelerator where i give you 125k would you take that deal have jason calacanis as your first investor and then you come on the pod every month that we talk about your progress how does that sound that might be something you're

SPEAKER_138: interested in okay you say yes yeah let's do it i didn't expect this okay wow okay sure let's uh

SPEAKER_02: okay this is how we do it you want the 25k you want the 125k let's do the 125k okay so that's 125k

SPEAKER_01: seven percent it's a standard deal you get at y combinator and textiles standard deal you come to the accelerator i'm just gonna since you showed the initiative i'm just this is my diligence okay so

SPEAKER_02: as long as we have to do a little background check you're you're not a criminal you're not on the lamb you haven't kidnapped anybody we're going to assume that you did this work and it's not stolen or there's not ip theft but we'll go through a quick diligence you come into the accelerator that's great sean what's your story who are you are you an engineer working for meta what's the story

SPEAKER_106: you're an entrepreneur yeah currently uh just after this we we have a team right now so uh it's

SPEAKER_89: basically doing this for traditional industries have you raised money yet i haven't okay so i'm

SPEAKER_02: gonna give you the same offer 125k you come to the launch accelerator as long as you can prove that this is your ip and you have not committed any crimes i don't think you have you seem like an upstanding young gentleman or 25k you come to founder university two and a half percent and you could just have a light relationship but you get to say hey i got jcal from this week in startups and all in it's my first investor is that something you might be interested in sean yeah let's do 125 okay okay so i just spent 250k you're both in the accelerator this is how we do it folks i'm an instinct investor these guys are great i want to work with you guys for the next 12 weeks and then we're gonna go raise a monster seed round and we're just gonna blow the shit up uh that's it folks sean vishnu 250 dimes i'm just spending money on the air my team lucas is gonna get in touch with you after this and jacob and they're going to get you through the light very light diligence process when you guys aren't incorporated i take it if you aren't incorporated we'll get you through incorporation set up your cap table show you how to do all that good stuff and we will be in business together starting monday morning let's get this done it's wednesday let's have this done by friday we can get working on the weekends thanks for coming

David Friedberg: on the program i appreciate you both all right everybody that's another episode of this week in

SPEAKER_02: startups in the can and we will see you on friday with lon harris as my co-host and we always do off duty off duty at the end of the friday show where you get a couple of uh great great tips war media movies tv shows books video games clothes fashion food music any of those things we'll see you on friday bye bye