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Podcast Summary: The Startup Ideas Podcast - Episode: Making $$$ with OpenClaw
Episode Overview In this episode, host Greg Isenberg interviews Nick Vasilescu, founder of Orgo, discussing how individuals are monetizing OpenClaw, an open-source computer use agent, by deploying it for various business automation tasks. The conversation entails live demonstrations, insights into design-thinking frameworks, and a collaborative build of a TikTok trend-hunting agent.
Key Guests
- Greg Isenberg: CEO of Late Checkout, former advisor to Reddit and TikTok.
- Nick Vasilescu: Founder of Orgo, expert in automation and OpenClaw.
Timestamps
- 00:00 – Intro
- 02:50 – Getting Set Up with OpenClaw
- 05:02 – Finding the Wedge: Automating Real Business Outcomes
- 07:39 – The Upwork Hack: Finding Paid Automation Jobs
- 09:41 – Andreessen Horowitz on Computer Use Agents
- 11:01 – Setting Up a Client Workspace in Minutes
- 12:41 – Design Thinking: Mapping Value vs. Effort
- 15:23 – Using OpenClaw to Prioritize Automations
- 17:57 – Building Automation Pipelines with Claude Code
- 19:33 – Sub-Agents vs. Tasks vs. Skills
- 23:22 – Automation Possibilities are Huge
- 24:54 – Live Build: TikTok Trend Hunter from Idea Browser
- 32:09 – Start with an MVP Skill, Then Iterate
- 36:59 – The Arbitrage Opportunity: Most Businesses Still Need Help
- 40:30 – Agents Are the New SaaS
- 42:42 – Demoing TikTok Trend Hunter
- 44:11 – Building Assets & the Abundance AI Will Bring
- 47:58 – Closing Advice: Get Your Hands Dirty
Key Concepts and Takeaways
- OpenClaw as a Business Tool
- OpenClaw transcends personal assistant capabilities, functioning as a deployable tool to automate workflows for businesses.
- Users can set up OpenClaw instances to generate revenue through automation tasks.
- Monetization Strategies
- Upwork Hack: Utilize Upwork to find automation jobs that can be fulfilled with OpenClaw, tapping into tasks such as RPA (Robotic Process Automation) and workflow building.
- Potential earnings range widely based on the complexity and nature of the automation jobs.
- Deployment and Setup
- Setting up OpenClaw can be accomplished quickly, allowing users to create client workspaces and manage multiple instances.
- The use of sub-agents can enhance efficiency by delegating specialized tasks, which boosts output through parallelization.
- Design Thinking Framework
- A design-thinking approach is vital to map automation opportunities based on value versus effort, ensuring that initiatives are practical and impactful.
- The focus should be on identifying high-value, low-effort automation opportunities for maximum impact.
- Automation Possibilities
- There are vast opportunities for automation across various industries. Andreessen Horowitz advocates for verticalizing computer use agents tailored to specific sectors.
- Businesses are increasingly looking for solutions to streamline operations, presenting a significant arbitrage opportunity for those who can leverage OpenClaw effectively.
- Live Demo: TikTok Trend Hunter
- During the episode, a live demonstration involved building a TikTok trend-hunting agent from scratch, showcasing the rapid development capabilities of OpenClaw.
- The demonstration highlighted a practical, real-world application of automation using OpenClaw.
- Agents as the New SaaS
- The speaker discusses the shift from traditional software models to using agents as a form of service, where agents perform tasks instead of requiring users to interact with software interfaces.
- This trend reflects a broader movement toward automating workflows and enhancing productivity through intelligent agents.
Closing Insights
- Nick emphasizes the importance of getting hands-on with automation technologies and experimenting with OpenClaw to discover potential applications.
- There is a call to action for listeners to engage with OpenClaw, build, and iterate on their automation skills to capitalize on emerging opportunities in the landscape of AI and automation.
Links Mentioned
- Orgo: [Orgo Website](https://startup-ideas-pod.link/orgo)
- 30+ Startup Ideas Database: [Startup Ideas](https://gregisenberg.com/30startupideas)
Social Media
- Greg Isenberg:
- [Twitter](https://twitter.com/gregisenberg)
- [Instagram](https://instagram.com/gregisenberg/)
- [LinkedIn](https://www.linkedin.com/in/gisenberg/)
- Nick Vasilescu:
- [YouTube](https://www.youtube.com/@nickvasiles)
- [Instagram](https://www.instagram.com/nickvasilescu/)
- [Personal Website](https://www.nickvasilescu.com)
Conclusion This episode provides valuable insights into leveraging OpenClaw for business automation, emphasizing practical applications, monetization strategies, and the transformative potential of computer use agents in the evolving landscape of entrepreneurship.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VONick's Expertise and Episode Goals
1:00 to 2:24
Nick discusses the potential of OpenClaw in business automation.
“I couldn't be more excited to have Nick on the pod.”
Getting Started with OpenClaw
2:25 to 4:30
Nick shares a tactical guide to setting up OpenClaw for automation.
“I've, in fact, I think OpenClaw is a tool that allows us to be able to do the things that we have always been able to make money from, like automation with AI, but do it even better.”
Identifying Automation Opportunities
4:31 to 5:35
Learn how to pinpoint the best use cases for OpenClaw in business.
“So we can't actually pull it up on Twitter or anything, but Kimmy launched their version.”
Leveraging Upwork for Automation
5:36 to 8:07
Nick explains how to use Upwork for finding automation projects.
“And what this is doing is it's looking up products and actually downloading all the product information and then like parsing all that information.”
The Power of Computer Use Agents
8:08 to 10:35
Understanding OpenClaw's capabilities as a computer use agent.
“I spawned sub agents to go find all these jobs and then build out little demos for each of them.”
Design Thinking for Automation Projects
10:36 to 12:37
Nick outlines a design thinking approach to automation with OpenClaw.
“use agents and assist companies in adopting it will be a major area of exploration for startups.”
Mapping Automation Workflows
14:03 to 15:08
Learn how to design and map automation workflows using OpenClaw.
“you need to map out like the systems design around how like how is this thing going to be automated, right?”
Utilizing Customer Interviews for Automation
15:09 to 16:46
Discover how to use customer interviews to identify automation opportunities.
“Couldn't you use OpenClaw to actually do some of the prioritization on the automations?”
Building Automation with OpenClaw
16:47 to 19:34
Explore how to trigger workflows using OpenClaw and relevant events.
“And so you got to go back and like, okay, like what was it that they said?”
Understanding Sub-Agents in Automation
19:35 to 22:04
Get insights on the function and benefits of sub-agents in automation workflows.
“I think a lot of people are confused about what is a sub-agent versus a task and stuff like that.”
Show all 23 chapters
Leveraging OpenClaw for Business Automation
22:05 to 24:15
Learn how OpenClaw can enhance business automation and the mindset shift it brings.
“I think the basic idea is in layman's terms, it's as soon as you have your open claw instance do something, they're busy.”
Transforming OpenClaw into a Good Employee
24:16 to 25:51
Discover strategies to optimize OpenClaw's performance for better automation.
“It's the ability that has its own computer.”
Live Demo: Building a Skill with OpenClaw
25:52 to 28:00
Watch a live demonstration of creating a specialized skill in OpenClaw.
“So I know you have, I was actually looking at this.”
Exploring Automation with TikTok
28:00 to 29:10
Learn how to automate the process of scrolling TikTok using AI agents.
“So one thing I might test first is like, can we get this agent to even just spin up TikTok and just scroll TikTok and identify what is on the for you page TikTok.”
Insights from Dario Amadei
29:10 to 30:50
Discover Dario Amadei's thoughts on the future of AGI and the role of computer-use agents.
“This is always such a magical experience.”
Building Effective Computer Agents
30:50 to 33:10
Understand the importance of designing simple, effective automation skills.
“Open claw is like a chat GPT moment, I think for this kind of idea of computer use.”
API Keys and Programmatic Automation
33:10 to 35:50
Get insights on using API keys to build automation agents effectively.
“I think it interrupted itself, probably a context thing.”
The Future of Business Automation
35:50 to 40:00
Explore how computer-use agents can revolutionize business operations.
“Let's turn it into something that could be more programmatic, kind of like a skill.”
Agents as the New SaaS
40:00 to 42:01
Understand the shift from software to agents in business interactions.
“the workspace in Orgo, set up, ready to go.”
Building Assets with OpenClaw
42:01 to 44:26
Learn how OpenClaw enables rapid asset creation and entrepreneurship.
“So now I asked OpenClaw, hey, I built a tick tock agent dot pi in your desktop.”
The Future of AI and Automation
44:27 to 46:44
Explore the implications of AI on jobs and the rise of one-person businesses.
“Even maybe we don't know officially, but maybe it's already happened with Peter Steinberger, the creator of OpenClaw.”
Practical Applications of OpenClaw
46:45 to 49:50
Discover how to leverage OpenClaw for real-world business automation.
“Okay, so you can see it spun up this computer, TikTok Trend Hunter.”
Final Thoughts and Community Engagement
49:51 to 52:02
Encouragement to engage with the community and share experiences.
“People get your hands dirty, get tinkering.”
Transcript
Automatic transcript. May contain errors.0:00How can you make money from OpenClaw? Like, how can you spin up these OpenClaw instances, these sub-agents, these digital employees that can go out and make you money while you sleep? Is it even possible? Well, in today's episode, I brought on Nick and he shows a tactical tutorial for how to spin up multiple OpenClaw machines in a virtual instance. how you can be automating tasks on Upwork and these boring business automations and how you can actually make money from OpenClaw. If this doesn't get your creative juices flowing for the future of SaaS, how people are going to make money and how to actually use OpenClaw from not just a cute little use cases, but actually money making opportunities, then I don't know what will.
0:47I had such a good chat with Nick. It got my creative juices flowing. I think it will yours too. And this is, I think, one of Nick's first podcasts. So give him a like and comment to juice him up because he shared that sauce.
1:09I couldn't be more excited to have Nick on the pod. He's one of my go-to people when I have questions about OpenClaw. Nick, by the end of this episode, what are people going to learn? Yeah, people are going to learn that OpenClaw is more than just a personal assistant. You can actually deploy this into businesses. You could drive actual business outcomes, generate revenue off of OpenClaw as an opportunity. And yeah, we're seeing it on X, like people who are deploying OpenClaw for kind of executives or individuals who are super busy. They're making thousands of dollars, you know, setting OpenClaw up, getting it up and running for these people and managing it for them.
1:52So I think there's a huge opportunity here. And yeah, just excited to jump in. Cool. And before we get going, I need you to make a commitment to me and to the person listening or watching, which is I need you not to hold back any sauce. I don't want to know just about the opportunity. I want to know how are people doing it tactically. And by the end of this episode, what I want is for people to take away. Like, I want people to know how they can actually make a dollar from this. And is that a commitment, Nick, that you are willing to make to us? Absolutely. Absolutely. I'm not going to hold back anything.
2:28I've, in fact, I think OpenClaw is a tool that allows us to be able to do the things that we have always been able to make money from, like automation with AI, but do it even better. And I'm going to show you how to get it all set up so you can do that and the wedge to get going. So let's do it. Yeah. So I guess jumping right in, as far as like getting set up with OpenClaw, you can see here, you know, this is Orgo. This is our startup. you don't have to use Orgo to get started with OpenClaw. Just full disclaimer, this is what I'm using. And what I'm going to do is I have a project here. You can see I have a couple projects.
3:07And I have Greg, I set you up a project. I hope you enjoy your five computers. And so you can imagine, Greg, let's say you're a business owner and you have a busy life. You got all the podcasts going on. You have all these businesses you're running, the agency, the idea browser, all this stuff. And you need you need help automating some stuff. So what I'm going to do is I'm going to come in, I'm scrappy Nick, I'm going to come in and I'm going to help automate some things in your in your business in your life. You know, as a busy executive, and I'm going to get you set up with open clause. So when you open up a computer here, you can see I have it open.
3:48This is the cloud bot one computer I made for you. If I actually just type in open claw tui this will open up open claw in the terminal and you can see i i actually already started like hey i'm greg eisenberg and it's all ready to get set up and so actually what i could do is um i could invite you to this project and then you'd be able to do this as well like in your terminal you'd be able to spin this up and now you're talking to open claw so um super easy get set up once again you don't have to use orgo you could use whatever you want you could use. I know Manus just dropped their own version of like one click deployment OpenClaw.
4:27Also, Kimmy launched their version as well. X is down right now. So we can't actually pull it up on Twitter or anything, but Kimmy launched their version. And so there's all these options as far as getting started. You could use a Mac mini, whatever. So the key here, Greg, with OpenClaw and actually creating money from it is to have the wedge to know what is the specific use case in a person's business that we're going to automate like first, because for when you see open call on Twitter, it's very much a personal assistant. It's exciting. It's fun. But all the demos that go viral, including me, I get it.
5:05I'm guilty of this too. All the demos that go viral are a little bit, you know, kind of toyish. They're a little flashy. But the real power is in finding the thing that actually drives business outcomes, saves time for a business, finding that and building the automation around that. So I have something running here. This is my open claw looking up products for a business that I deployed for. This is a promotional distributorship. And what this is doing is it's looking up products and actually downloading all the product information and then like parsing all that information. There's all these reports it needs to download and then uploading that into a Zoho CRM.
5:54Um, so it can essentially, you know, create a central source of truth for this client. So this is a perfect example here of like actually creating a agent that open claw deploys to be able to automate something end to end. So just to recap, are we all good so far? Yeah. So a few things I just want to talk about. So one thing is when you showed that Orgo screen, you had like five machines running. So what's interesting is I've got my Mac mini going. I've got one instance. So using something like this is cool because you can have multiple instances going right and you can see them all in one screen in one view so that's really cool that that was sort of an aha moment for me yeah absolutely yeah it's like everyone you know as far as where you deploy your your main open you can see here i like i starred the main one uh and so that's like you could have that wherever but what people don't realize is open claw can spawn sub agents and i think this is going to be huge for people who start like right right now we're at the phase of having one open claw it's going to happen quickly you're already seeing on it on twitter memes about like oh what if you have a 10 mac minis or all the mac studios are being bought out so this is happening fast or you're going to want 10 open claws you know 100 open claws right now you can have one open claw and just have it spawn up to, I think, eight subagents.
7:28And each subagent could have its own computer. And you could do this, like, this is why, this is like kind of where Orgo shines is you can spin up multiple computers for each individual subagent of your OpenClaw. And in this case here, I had it looking on Upwork for actual things that we could automate with OpenClaw. This is like a little hack here as far as like, well, I want to make money with OpenClaw. Well, oh, I don't know any business that I can reach out to that could automate stuff for a great place to start is Upwork because there's jobs on Upwork that are literally posted. They're asking you, they're like, I want to pay$500 ,000,$1 ,500,$3 ,000,$20 ,000 for this AI workflow.
8:07And you can, I spawned sub, it went viral on Twitter. I spawned sub agents to go find all these jobs and then build out little demos for each of them. And then we picked the best one and okay, let's apply for that proposal with that. So that's a little tidbit there on on Upwork and all of that. So which is just kind of hilarious because I mean Upwork, you know, is designed for human beings to complete work, right? It's not designed for machines, let alone multiple machines to complete work. But I mean, as long as the quality of work is good, you know, customers can be happy, right? Yeah. And I think like, it's good to, you know, it's good to treat it as a starting point.
8:50If you can save time preparing a proposal for a job on Upwork, it's like, what is that worth? And if you could do just 100x volume, what is that worth? So there's a couple things on that of the parallelization of work with OpenClaw. So there's like, could you have 10 OpenClaws working on a given task? And it breaks up that tasks into 10 subtasks. And so each open claw does one of those subtasks. That's one way of having parallelization. But another way is to have 10 open claws working on the same task, just 10 different instances of it. And that was kind of like what I was doing here. It's, you know, four different instances of the one open claw, you know, or four different open claws doing the same thing of looking up different jobs on Upwork that they could apply to.
9:38So that's kind of an interesting topic there um but yeah so like as far as open claw goes it's it's it's uh a huge opportunity i just want to like throw this in here andreason horowitz talks about computer use agents i view open claw as a computer use agent you know you're giving an agent a computer and it's able to do it's able to use that computer it's like it's a computer use agent but that's half the story the other half of the story is for it to be able to like click around actually operate a graphical user interface on like legacy softwares and systems. And so you can imagine like, you know, in here, this automation I built, this is navigating a legacy platform for this client that doesn't have any clean APIs, and it's able to click in, download reports, and actually, you know, be the universal API to be able to solve problems that you couldn't previously solve without computer use agents.
10:32So I think there's a huge opportunity here. And Andreessen Horwitz, they talk about it and they say, we believe that to properly verticalize computer use agents and assist companies in adopting it will be a major area of exploration for startups. And this is like, to me, this screams OpenClaw. Can you create a vertical use case for OpenClaw for a business and actually assist that company in adopting it? I think that's the huge opportunity here um so going back to this like workspace we have set up for you um you know with with with all the people setting up open claw you could set it up as easy as you know i invite greg to this workspace i create him a new computer we could just do it now open claw too i select how much ram let's do let's do eight gigs launch that open that up and then all we need now to get you set up is to get the um let me get the the curl command for open claw i copy that from their website and then as this computer loads we'll be able to then literally just paste it into the terminal and once i see the interface pop up boom okay so now i'm gonna hit enter and now we're off to the races installing open claw so like it's as easy as that and i think there's this this in and of itself is like a workspace where you can invite people and get them set up with open claw or clawed code i think this is like a huge a huge opportunity as well of like just there are executives right now that are like reaching out to me uh like law firms insurance companies they're like can you can i just like pay you to teach me how to use this stuff so that's its own whole thing as well as far as like if you're savvy enough to even know how to install open claw and get it set up in the first place um i just think there's a huge opportunity around like just helping executives businesses adopt it um so yeah you can see it's as easy as this to get set up and then as far as like what specific things can we automate with OpenClaw, it takes a little bit of a design thinking approach.
12:53So when you go into a business, let's say you find a project on Upwork and you want to automate that with OpenClaw. Let's say you go into a business and you're talking to the executive, the decision maker, and it's clear that they have things that need to be automated. Well, as far as design thinking goes, you need to have a clear way of first mapping all the different possibilities. You can see here, this is something I did in the past of like, there's all these different things that you could automate and you want to map them off two very simple metrics. What is the value that we can create by automating this thing?
13:28And what's the relative effort cost and time? And so we ultimately want to start with, okay, we want to automate things with open claw that are high value and low effort cost and time. And that's like your, your, your low-hanging fruit um and so you start there and so like for for this client this was like that this was that this was like okay we're looking at products on this website we're downloading them we're parsing all the information uh that's the low-hanging fruit so start with the design thinking approach of like okay simplest fastest to deploy and then you need to map out like the systems design around how like how is this thing going to be automated, right?
14:10So for this client, she's like, okay, I send an email to a client of hers, right? She sends an email to a client and she has a presentation link with all these products. Okay. And all those products, she needs to look all of them up and get all the information on them and then upload them into Zoho. So then your next step after identifying the opportunity is to literally like map this out. I use Figma, you can use whatever, but map out the actual workflow process of like, okay, step one, step two, step three, what is this automation going to look like tip to tail so that we can do the whole thing?
14:47Because with open call and computer use that now is now you can do that. You can do, you could do things from tip to tail. It's not like, you know, it used to be where you'd have to like go into a website and click a button and then it'd be able to do some 50 % of the whole thing, but then you'd have to copy that and paste that somewhere else and do it on your own. Like we can do it tip to tail. So quick recap, install OpenClaw into a computer, identify the low-hanging fruit opportunities, the highest value opportunities, and then begin to map out what that even looks like to begin with. Couldn't you use OpenClaw to actually do some of the prioritization on the automations?
15:35You as a human being did the Figma, but couldn't you actually just use the OpenClaw or CloudCode or something like that to help you with that? For example, if you go back to the Figma, you could walk into a business and basically say, hey, I want to figure out what we can automate here. And you do customer interviews with different people on the team. You record those customer interviews, you get the transcripts, you upload the transcripts, and then you say, hey, based on that, then you can actually say, you give this as a reference image. Basically say, hey, I want to figure out which automation opportunities have the highest amount of value, lowest amount of effort, cost, and time.
16:23Give me the top three, and then create Figma. And I think there's a Figma MCP even that you can use, and you can say, hey, can you map this thing out based on these customer transcripts? Does that make sense? Oh, absolutely. yeah no that's that's that's the way to do it like i whenever i do any kind of call with a client or cut like potential customer oh my gosh gemini for uh for google meet is amazing you just have it take take all the notes and then actually that's that's how i even got because i don't know about i don't know about you greg but sometimes when you're in these calls you kind of you know this this industry you know you're in a new industry you're helping this customer You don't understand their domain expertise, the lingo.
17:09And so you got to go back and like, okay, like what was it that they said? And so have the Granola or Gemini notes or whatever, and then literally ask it to like, okay, what's the step-by-step workflow? And then map it out. It just helps me to map it out visually. But you could literally ask it. Yeah, like you said, based on this transcript, what is the automation workflow look like? Yeah. And if you don't want to use Figma, you can also even say, you know, do output in mermaid code. And then you can use the mermaid code and insert that into an Excalibur or a TL draw or something like that. So a little pro tip there.
17:51Nice, nice. Yeah, yeah. And the Figma MCP is pretty cool too. Yeah, definitely check that out. So yeah, so then once you figure out what the workflow is, right, this is where like, you have to actually be able to know, okay, how much can I really ask? How much can I just say to OpenClaw right now, hey, build this thing and you just describe the workflow versus genuinely using something like CloudCode to build out what that workflow would look like with Python, APIs, a genuine automation pipeline and process that your open claw can actually just trigger upon whenever it's like contextually relevant.
18:39So for instance, this whole pipeline here of like going to these websites, looking at this product information, downloading the information, parsing it, uploading it to Zoho. The trigger of all of that is, you know, the open claw being CC'd in an email and it's seeing that email, it has a link that is relevant for this type of workflow to be triggered. So that is like the thing, that's like the listening event that OpenClaw can do with like a cron job that it sets up to just like, okay, listen for this trigger. And then once that trigger starts, it can then activate the whole Python script, workflow automation, everything that you would need downstream of that.
19:18So you're not relying too much on OpenClaw's like abilities in and of itself. You're more so creating specialized AI workers underneath the open claw that it can call individually, if that makes sense. You know, you talked earlier about sub-agents. I think a lot of people are confused about what is a sub-agent versus a task and stuff like that. Can you just clearly explain that? Yeah. So sub-agents are, there's a couple ways to view them, right? So like in the context of because they're the reason I say there's a couple ways to view them is because there's a couple ways of using them. So in the context of like OpenClaw, you can ask it to spin up five research sub agents that all go and research some given task.
20:07And like I said earlier, you could have it parallelize that task across, you know, splitting it up across each sub agent or having each sub agent actually go and do the same task, you know, across five different instances. But the next thing around sub agents is that you can actually, like you said, maybe think of them in terms of skills. So if you're familiar with anthropic skills, you can have like these specialized instructions and rules along with actual code that you can provide to your agent for it to be able to go and do a given task. And this is really nice because it gives you a very more powerful general purpose agent that can do many of your specific nuanced tasks across various domains.
20:57but the thing is it's like i want my general agent to be freed up and uh to more so just be the orchestrator and what if the the general agent this one right the the one i have start here can just call a sub agent like worker number four here to do a given skill that you have created so if your skill is that it goes on twitter and finds the most viral ideas and it bookmarks them rather than having your main agent do that. And now you can't talk to your main agent for the next 20 minutes because it's working on that. Can it call that skill into a sub agent and have the sub agent do that? That I think is where things get really interesting.
21:39And in terms of the context of like deploying open clause for businesses, I would think of everything that you have in terms of an AI automation opportunity around workflows, skills, tasks, et cetera. I would actually just create that as its own specific sub-agent with its own skill that your open claw could then call. Does that make sense? It does. It does. Nice. I think the basic idea is in layman's terms, it's as soon as you have your open claw instance do something, they're busy. It's like they've got a mug of hot coffee. And your job is you want to leverage this as much as possible. So you don't want your agent to hold a hot coffee.
22:35So if you ask it to move this desk into this area, it says, no, I'm holding a cup of hot coffee. I can't do that. So what sub-agents do is it basically creates leverage for your open claw. and it basically says, okay, you're going to create a set of sub-agents who are going to be good at XYZ thing. And that way it frees up your main agent to, as you say, orchestrate, to basically be the manager of the sub-agents. And what that can mean is looking at quality of work. It can mean checking for certain things and stuff like that. Exactly. Exactly. I think that's going to be huge. When you start working with these businesses and customers who want things to be automated, once you show them what's possible, their eyes light up.
23:33They get all these ideas themselves. These are high agency people. They come up with creative ideas that they want to start implementing. And then what you realize is there's just a huge a huge list of things that can be automated and they're excited about that. And, and so actually like the, the ability to, okay, first solve a vertical specific workflow for, for a customer and then that opening up their mind. And then them being like, Oh, I wonder if I could, could I text this thing? And it does this, this is kind of where like the whole open claw moment is really powerful. It's like, it's, it's the, it's the, it's the assistant-like capability.
24:11It's the, you know, I have it here. It's like a lot of people might get confused about why is it that OpenClaw is so special? It's the ability that has its own computer. It's running 24-7. You can text it and you can schedule tasks. And really, if we just removed OpenClaw from this card here and you just called this a really good employee, it would just makes sense to be like oh works 24 7 can code can schedule tasks i can text it and they have their own computer um so i think that's like kind of why open call is exciting for a lot of people and if it's not you know if some people think it's it's overhyped you have to kind of look at the whole picture i think and and then you're able to really gauge it so i i'm certainly bought in on this on this idea that you know it potentially it could be be a really good employee i think there's also cases where people aren't setting up their open claw in the right way where it ends up being a bad employee.
25:09And I think that's sort of like the issue with that is sometimes you have a bad employee because the manager, the coach essentially is not doing a good job at giving the right context at the right time. So I think, do you have any tips and tricks around besides spitting up sub agents, how could people listening to this, if they want to go after this opportunity of essentially verticalize open claws and automating some of these flows, how could people actually take their open claw from a bad employee to a good employee? Yeah, I think it comes down to, maybe we should walk through. So I know you have, I was actually looking at this.
25:59So Idea Browser. So for everyone, if you don't know, Greg has this amazing product, Idea Browser. And I love this trend, this idea today. TikTok trend tool that catches viral waves before they peak. So I was actually looking at this this morning. I was like, wow, this is actually something that you can maybe turn into a skill for an open claw to create a specialized skill around this. So let's just do a live. Let's see. I genuinely don't know. How far can we get? Can we build this out now? Let's see if I copy all of that. And now I'm here in the open claw that we set up for you. And you can see it just got set up.
26:38I just told it, hey, I'm Greg Eisenberg. So we're getting started. That's it. And let's just say I want to build a specialized skill to be able to do the following. and I'm just going to paste that entire idea browser idea. And I'm going to ask it as far as like creating these automations, creating workflows or doing anything with OpenClaw. My number one tip is always ask it to ask you questions. So what do you need from me to be able to build this out? Let's create a plan. And so a lot of people need to remember OpenClaw is like almost a little bit of a wrapper around like clawed code in a way.
27:27So let's see. Okay, cool. This is a big vision, Greg. I like it. Let's break down a realistic build as an OpenClaw skill. So now it's saying, okay, I need data access. I need the scope. I need the niche focus that'll shape what we build a lean skill. So the first thing that we can maybe do is here in like Orgo, we have this playground mode and you can ask the playground agent here to do things in this computer, in this computer environment. So one thing I might test first is like, can we get this agent to even just spin up TikTok and just scroll TikTok and identify what is on the for you page TikTok.
28:16So let's like maybe start there. Does that sound good? Yeah, absolutely. Let's do that. Open Firefox. Go to TikTok. Scroll. I'm going to say scroll TikTok looking for what the most common videos are on the for you page. Give me a summary. so let's see how it's able to do this so this is using our our playground mode and boom opens up firefox it's going to go to tiktok and for those listening i'm just going to talk through a little bit about what this agent in our our playground is doing it's it's visually interacting with the screen It's clicking into Firefox. It's opening up the browser. Now it's typing in TikTok.com.
29:11It's going there.
29:16And let's see. This is always such a magical experience. Just watching a computer navigate the web like a human being. It's amazing. You know, this is... Yeah, there it goes. It's on the homepage. and now it's gonna it's gonna actually scroll tiktok it's gonna probably take a screenshot of this get the context of based off that screenshot of what the video is about you could even see it has hashtags movie hashtag for you page so it's going to be able to infer a lot of things boom it scrolls it scrolls it gets a pop-up it's going to close out the pop-up um but on your point greg Dario Amadei, the CEO of Anthropic he just had a podcast with Dwarkesh and it came out a couple days ago and you know what's really interesting what he said in that podcast he said this idea of his around this data center full of brilliant scientists and Nobel Prize winners essentially his concept of what AGI will be like he says the constraint to getting there is computer use agents.
30:31The ability to have an AI that can operate a computer like you and I can, but better, you know, interact with the visual interface, also be able to do things under the hood, kind of like clawed code. This is the constraint, he said. And I mean, it makes perfect sense if it can do anything that you and I can do on a computer. That seems like it can go pretty far. Open claw is like a chat GPT moment, I think for this kind of idea of computer use. And as far as like building these computer use agents out, you can see this is clearly working. So we know this is possible. You can build, a lot of people might get confused with Orgo when they come to our site, they see computers for agents.
31:16And like, what does that mean? Well, I think they get it now. It's like, okay, you want your CloudBot to have its own computer. But also we provide, and I'll show this, we provide the doc in our docs like we're actually provide the programmatic apis so you can create custom computer use agents that um do a given task very well so you can bring any model you can get kimmy 2.5 is like the super cheap um you know chinese model it's very good at computer use and you can give it the ability to click drag scroll type in the keyboard spin up a computer and you can create specialized, really fast performance, low cost computer use agents using our docs.
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31:57And I just say that to say like, as far as, you know, this, this thing that we're doing here, creating a skill around scrolling TikTok. I think that's how we can, we can actually give it a shot as let's just, we see this is working now. Let me just grab the Orgo docs and let's start building this skill out. If you didn't see here, I'm at the Orgo docs. I clicked this thing called LLMS full dot TXT. This is like all the instructions for the LLM to be able to build on top of Orgo. And what I'm going to do is I'm going to wait for, I have to probably, I'm going to wait for this to finish this, it's task, and then I'll be able to tell it.
32:38But while this goes, Greg, you have any thoughts? Well, just sort of a thing I was thinking about is it sounds like whenever you're trying to do a new automation, you start by thinking about what is a lightweight skill that I should create. Is that correct? Right. Exactly. What's the MVP? Yeah. So you start with a lightweight skill. You test it. And then from there, you're probably like, hey, here's what went wrong. here's what could be better that sort of thing right exactly just fine-tuning you know debug like it i think the design thinking process around all of this is super important of like okay if i want to build a car maybe the first thing i do isn't to build the frame of the car or you know to build um you know the whole body of the car that's not the first the first thing I should do if I want to build a car well why do I want to build a car well I want to build a car to go to from point a to point b oh okay so really maybe I should start by building a skateboard how can we accomplish the task to get the get the dream out the dream outcome and um and sometimes that means like starting with something that's completely different than the end state um so So this is done here.
34:05I think it interrupted itself, probably a context thing. But now we can actually, what we can do, this is all live. So you're seeing this in real time. You can literally, there's a couple ways to go about this. You can actually install Claude Code into this computer and have it build out the automation in here, or we can just ask this agent to do it for us. So let's see. I want to build a computer use agent. that does this exact thing, but more programmatically using the Orgo API docs. And I paste that here. What do we need to get started? And we send that off. All right, here we go. So we need an Orgo API key.
34:54Here's the architecture of what we'll build. okay this looks good um orgo key anthropic key it has all the code here cool um you're looking at a tiktok video extract the username video description the category the appropriate like count boom boom boom okay cool so i have all these things already and don't worry i'm going to delete these keys i'm not worried about leaking or anything i'm going to copy my Orgo API key. I'm going to paste it in there. And I'm going to say Orgo API key. I also have my Anthropic key. Let me grab that. I'm going to paste that here. Can we build this out? And so now we're going to have our playground mode build out this computer use agent to be able to go do this thing that we just tested out.
35:50We know it works. We know we can do it. Let's turn it into something that could be more programmatic, kind of like a skill. And let's give it to Claude Bot so it always has access to it. The dream.
36:03It's literally any idea you have, you can just build it. And that's sort of the arbitrage opportunity, right? Especially like in our world, of course, like we're so used to this now, even though it's only been like two months. but the opportunity is the vast majority of people on this planet and businesses would love to have better automation and would love to have computer use agents working for them aka really good employees working for them but they don't know how which is cool that you're showing us some of the best practices on how to do it exactly and and i think this is also like i can imagine you know the the whole audience of this podcast we're all pretty tech savvy we know how to do things like vibe code and and and you know play around with cloud code and be able to do these things and we take it for granted in terms of what that value is worth um as far as like open claw and the opportunity around that i mean When OpenClaw started going viral on Twitter around two to three weeks ago, only now is it starting and I'm starting to see it's starting to go viral on TikTok a little more mainstream.
37:27So, yeah, I just mean, you know, people are catching on and a lot of people still need help with getting up and running on this type of stuff. And what you might think is, oh, I mean, I have a basic understanding of OpenClaw and CloudBot and CloudCode. and you might underwrite that. A lot of people find that valuable. So being able to help businesses adopted or just people in general, I think it's a super good opportunity. Yeah, I think my only advice for people would be to focus, like don't be everything to everyone. Like don't help every business, help real estate agents, for example, or like pick a vertical that maybe you have some unfair advantage for some particular reason.
38:15And that unfair advantage doesn't necessarily mean you have 20 years of experience. It might mean just that you want to build something for real estate agents because your mom was a real estate agent. So you know the customer, right? So I think that's the way to do this. Absolutely, yeah. It's whatever you know, that's your advantage. And I mean, I guess as far as like some, maybe this doesn't apply to everyone. Obviously, if you're in this industry, then go for it. But like, you know, probably things to avoid things that have a lot of like red tape, like health care, finance, you know, I recommend maybe starting something.
38:58Yeah. Like you said, you know, you could do even manufacturing or there's a lot of distributorships out there who, you know, they distribute merchandise, just like the demo I was showing earlier of that computer use agent working. So yeah, I think as far as, you know, doing what you know, and starting there, and then the market will tell you, you know, the market will pull you into specific verticals, you'll start seeing ways that as you build these specific, this is a great point, as you build out these specific workflows around these verticals of like, let's say you do, let's say you do the manufacturing thing and you do manufacturing for doors.
39:39Over time, you're going to have a workflow for almost like every kind of thing you could imagine in that industry. And if you have the agents all built out, can you imagine you have a workspace and you invite some new company into this workspace for automations, for manufacturing, for doors, like luxury doors, and you invite them and they have all these AI employees in the workspace in Orgo, set up, ready to go. You just see them all here and they're all ready to go. It's like, you feel like you just hired not a person, but a team. I think that's a very near future. In fact, I don't think there's anything stopping us from having that right now.
40:21It's all about just who's going to go out there and put in the work to actually do that. And if you do, I think it's pretty clear. Yeah. I mean, and that's why I truly believe that agents are the new SaaS. You know what I mean? I agree with the vision you painted. I think that in the past we created software that we would sell to these businesses and then they would have people actually press the buttons, touch the knobs to make it useful. Now you're not going to create software and invite them to the software. you're going to create agents and you're going to invite them to the agents and then the agents are going to do work that creates value for these companies.
41:11So that's the mindset shift. It's only recently actually that people have been I think over the last two weeks, I would say, two, three weeks that people have been on X talking about this. how agents are the new SaaS. But I do think that you're going to see over the next two to three months some really big winners. And you're going to start to see it work. So I'm excited for people listening because I think that this is a type of audience that will act on some of this stuff. And it'll be interesting to see what happens. yeah yeah i i think it was it was it sam altman that just said you know every company is turning into an api company yeah and that's interesting because interfaces are in a sense dying in that way of like you know you won't interact like the ultimate interface for whatever reason seems to be chat and text message and it's happened twice now of like okay the chat gpt moment was a chat box and now it's the open claw moment which is like a text message or telegram so it's like okay chat has happened twice um and that just means okay so we just want a way for our agents to be able to use all the tools that we use and we don't really care about how it does it it just needs to be able to do it and and it runs in the background um and does it under the hood um so here okay i started I built you could see that this agent in the playground built out the tick tock agent dot pi inside the computer.
42:53So now I asked OpenClaw, hey, I built a tick tock agent dot pi in your desktop. Can you take a look? And it's it says, OK, I've read it. Here's what I see. There's a skeleton for, you know, using Orgo plus Anthropics API. Go ahead, Greg. No, you keep going. And it was, you know, all the actual TikTok logic, trend detection, all this stuff. It's like, okay, maybe we should build that out. And it's like, oh, you got the API keys hardcoded, et cetera, et cetera. So let's just say, let's use this script, build on top of it, or whatever you need to do. and let's spin up a orgo vm inside of the greg eisenberg workspace to accomplish this um automation with tiktok let's demo it just working we can spawn
44:02a subagent and VM in this workspace. And let me just give it an API key just in case it needs that. What really blows my mind about this whole thing is that, you know, I was going to say we're building a business in a very short amount of time, but it's really like we're building an asset. Like the amount of assets that people are going to be building um using tools like this is is going to be crazy right yeah it's insane honestly it comes down to like honestly like it comes down to taste now good ideas um it's because like if you have a good idea you could just just build it and yeah there's there's going to be like oh my goodness what's going to happen with all of these assets like you said that people are just going to build and build and build there's going to be so many assets i think is this what is this what we mean when we talk about the um the abundance that ai will bring you know of solving all these problems yeah well i think what ends up happening is you know unfortunately there are going to be more and more layoffs as ai helps with productivity At the same time, I think there's going to be a renaissance, the golden age of entrepreneurship and people creating assets, products like this, one person businesses.
45:35And that's how I see it playing out. Yeah. Even maybe we don't know officially, but maybe it's already happened with Peter Steinberger, the creator of OpenClaw. you know he he just um officially announced he's joining open ai like i think it was just him who built open claw how much did he get you know aqua hired for i think it was a lot um yeah so that's that's i mean that's that's cool i think this is the best time to be a builder slash tinkerer to get creative um i'm excited to see what people build with open claw and computer use agents in general of like, there's so many things, whether it's a super fast chess computer use agent, or if it's something that's genuinely driving an outcome in your business.
46:25I just think there's so many things that can be built. Playing around with these tools, getting familiar, learning how to leverage them. Yes, AI is going to be replacing a lot of jobs. But also, it's going to enable a lot of people to do things that they've never been able to build before, and now they can do it. So, yeah, I'm just, oh, here it is. Okay, so you can see it spun up this computer, TikTok Trend Hunter. And my screen's just refreshing. Let me just click into it. And I could just tab back and forth a little bit to see, okay, VM is up. It's opening Firefox. Let me wait for the agent loop to start.
47:08Here we go. So it spun up its own computer. This is insane, Greg. It spun up its own computer, OpenClawed it, and now it's using its own Python script that it just made just now. We took it from Idea Browser. And now it's going to go do this thing that we just built out. I don't know how long this took. It lasts like 10 minutes. Kind of just, you know, in between we're talking and having our coffee. It's like, this is insane. I don't know. It makes me, it gets me giddy.
47:41and it's gonna figure this out it's like you know it's gonna debug like okay what's going on why am i on the ads.tiktok.com let me reroute myself i'm sure it's gonna figure all this out but it's just cooking you know crazy dude crazy anything else you want to cover before we head out yeah i think um as far as other things to cover i mean i i just want people to start thinking about these tools you know yes they're once again they're great personal assistants but if you start thinking of open claw as an innate n or you start thinking of it as um you know like a lindy ai of like you know people there are real businesses right now like we can go to upwork right now and find jobs that are being posted around you know things like this is what you do you just go to upwork upwork's great because you get to see what the market's asking for you just type in uh robotic process automation you know this old outdated way of of programmatically automating tasks that it's like clunky and it It breaks and it's not intelligent.
48:58If the button isn't in the exact UI space that you just delegated it to, it won't work. And you go here, look, posted yesterday, Android RPA automation, posted yesterday, automation pipeline for client upload. You go here, you could just do, let's find$500,$1 ,000,$5 ,000. Let's look at all these projects. Okay, this one, boom, right here. $1 ,000 budget. I'm looking for experienced automation engineer to build desktop automation computer use for my software business. We sell a specialized dynamic PDF. You take all this context, give it to open cloud, give it to cloud code. How much of it can you build out as a demo based off of this context alone?
49:43Send a proposal. You have your first customer right here, a thousand dollars. Get some case studies, leverage that, maybe go deeper into this industry that this person in start building out specialized workflows using clodbot open claw for all the different vertical use cases in that create a workspace of it um i think that's where we're at right now and i'm excited by this so um yeah i guess we'll just see where it goes and yeah okay this needs a little debugging as to be expected we spent 10 minutes on it but i think you get the gist um and yeah i'm excited to see what everyone builds from your lips to god's ears baby I think your approach makes complete sense.
50:30It's the exact approach I would use. Totally recommend it. People get your hands dirty, get tinkering. I'm excited for what you build. Nick doesn't do a lot of podcasts. I think I was only able to find him do one live stream before. So show him some love in the comments section. Like the video, show him some love. And Nick, I hope you come back on, share more use cases. I'm going to be sharing more use cases that I haven't done too many publicly. I'm going to be sharing more of my use cases, both on virtual machines and on my own Mac Mini for my OpenClaw stuff. So get ready for that, folks. And Nick, wait, is there anything else before we go that you want to share?
51:23I just want to share with you, Greg, you don't know this, but I've been a longtime follower. This is my YouTube Rewind 2025 top 0.5%. So if you're watching this and you love Greg's podcast, you love his videos, you get building on top of it, you put cool stuff out there, you join your top YouTube channel on your Rewind of the year. I love it. I love it. Nick, you're a legend. You got to come back on. You're one of us. You're one of us. So I appreciate that. Thank you, Greg. Thank you for having me.
From the publisher
I sit down with Nick Vasilescu, founder of Orgo, to break down exactly how people are turning OpenClaw — the open-source computer use agent — into a real revenue stream. Nick walks me through live demos of deploying OpenClaw for business clients, shows how sub-agents and parallelization multiply output, and shares his design-thinking framework for identifying and automating high-value workflows. We even build a TikTok trend-hunting agent from scratch during the episode to prove how fast you can go from idea to working prototype.
Timestamps
00:00 – Intro
02:50 – Getting Set Up with OpenClaw
05:02 – Finding the Wedge: Automating Real Business Outcomes
07:39 – The Upwork Hack: Finding Paid Automation Jobs
09:41 – Andreessen Horowitz on Computer Use Agents
11:01 – Setting Up a Client Workspace in Minutes
12:41 – Design Thinking: Mapping Value vs. Effort
15:23 – Using OpenClaw to Prioritize Automations
17:57 – Building Automation Pipelines with Claude Code
19:33 – Sub-Agents vs. Tasks vs. Skills
23:22 – Automation Possibilities are huge
24:54 – Live Build: TikTok Trend Hunter from Idea Browser
32:09 – Start with an MVP Skill, Then Iterate
32:41 – Architecture of the TikTok Agent Script
36:59 – The Arbitrage Opportunity: Most Businesses Still Need Help
40:30 – Agents Are the New SaaS
42:42 – Demoing TikTok Trend Hunter
44:11 – Building Assets & the Abundance AI Will Bring
47:58 – Closing Advice: Get Your Hands Dirty
Links Mentioned:
Orgo: https://startup-ideas-pod.link/orgo
Key Points
OpenClaw is more than a personal assistant — it is a deployable business tool that can automate end-to-end workflows for paying clients.
The fastest path to revenue is finding automation jobs on Upwork (RPA, desktop automation, workflow building) and fulfilling them with OpenClaw and Claude Code.
Sub-agents allow your main OpenClaw instance to delegate specialized tasks, keeping the orchestrator free and multiplying throughput through parallelization.
A design-thinking approach — mapping automation opportunities by value vs. effort — is essential before building anything.
Verticalizing computer use agents for a specific industry (manufacturing, real estate, distributorships) is the major startup opportunity Andreessen Horowitz is calling out.
Always start by building a lightweight MVP skill, test it, debug, and iterate before scaling.
The #1 tool to find startup ideas/trends - https://www.ideabrowser.com
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/
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