Vishal Virani - Founder of Rocket.new | Why Vibe Solutioning Replaces Vibe Coding

Summary

Podcast Summary: "Why Vibe Solutioning Replaces Vibe Coding"

Podcast: Success Story with Scott D. Clary
Guest: Vishal Virani, Founder of Rocket.new
Date: April 7, 2026
Host: Scott D. Clary

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Main Theme & Purpose

This episode explores how AI is fundamentally changing the landscape of business, product development, and entrepreneurship. Scott D. Clary sits down with Vishal Virani—founder of Rocket.new—to discuss the transition from "vibe coding" (the explosion of code generation tools) to "vibe solutioning," where technology goes beyond writing code to delivering real business outcomes. They examine market shifts from demo products to real revenue, sustainable growth in the age of AI, the redefinition of job roles, founder philosophy, and best practices for future-proofing careers.

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Key Discussion Points & Insights

AI’s Rapid Evolution: From Demo to Dollars

• Quote: “The world is moving from a demo to dollars. Now people are able to really make money off whatever they are building.” – Vishal Virani [03:36]
• Shift Observed: AI adoption has shifted from experimentation and demos to delivering tangible business value and sustainable revenue.
• Model Improvements: Modern AI models hallucinate less, are more stable, and can support complex agentic systems (e.g., Claude cowork).
• Buying Behavior: Businesses now purchase AI tools out of hope for transformative results, sometimes before features or accuracy are fully proven.

Sustainable vs. Blitzscale Growth in AI Startups

• Churn and Retention: Historical SaaS benchmarks (80%+ retention) have given way to higher churn/low retention in many AI startups, raising sustainability questions.
• Quote: “If you are not able to translate hope into trust, you will have a churn. A very big churn.” – Vishal Virani [11:20]
• AI Bubble?: Some companies scale quickly (ARR of $100-200M in a year) despite alarming churn, leading Vishal to call them “ventilator startups”.

Product Philosophy: Moving from Code Generation to Business Launching

• Vibe Coding vs. Vibe Solutioning:
  • Vibe Coding generates code based on prompts, but real solutions require contextual understanding, workflows, and actionable outputs.
  • Vibe Solutioning is about solving the “what to build” problem, not just the “how to build.”
  • Quote: “We are not building code generators. We are building a business launcher. A big difference is code generator gives you files, a business launcher gives you revenue.” – Vishal Virani [70:43]
• Rocket’s Three Fundamentals:
  1. Contextual Memory: AI understands and remembers context across workflows.
  2. Autonomous Behavior: AI agents can act independently, giving daily/weekly/monthly digests and recommendations.
  3. Deep Workflows: End-to-end understanding and automation of intricate business processes (e.g., from web page builds to marketing strategies).
• Example: Rocket lets users generate competitive research, product specs, and build prototypes—all with cross-org awareness and context.

AI’s Impact on Job Roles & Organization Structure

• Role Redefinition:
  • Product managers can now perform research, design, and development singlehandedly.
  • Roles like Customer Success, Support, and Account Manager are merging, enabled by context-aware AI.
  • The future: “full-stack” roles not just in coding but across business functions.
  • Quote: “A product manager can do a competitive research, build a PRD, prototype, and code. Now that one guy, a product manager, is a full stack guy...I would not even call them a product manager—now it’s a product developer.” – Vishal Virani [67:30]
• Entrepreneurial Mindsets:
  • The convergence of roles means every employee acts more like an entrepreneur—vision, decision-making, risk.

AI in Enterprise & Adoption Trends

• Rapid Uptake: US enterprises adopt faster, followed by others after a delay; enterprises care about compliance, security, business continuity.
• Careful Integration: Enterprises are mindful, not fearful, asking for compliance (SOC2, GDPR, localization), integration, and real ROI.

Future-Proofing Skills in the AI Era

• Advice for Employees:
  • Be proactive: research how AI can enhance your specific function and start upskilling independently.
  • Use abundant online resources, prompt engineering, and understand how your role can be empowered—not replaced—by AI.
  • “The only thing you need is will. Just build a pattern—every day after work, one hour learning new things.” – Vishal Virani [63:06]
• Fundamental Shift:
  • AI will replace "mediocre and clerical work" but not expert, creative, or highly contextual tasks.

Vibe Solutioning Explained

• Structured Approach:
  • S: Situation understanding
  • O: Objective definition
  • L: Link all context
  • U: Usable from Day 1
  • T: Track results
  • I: Iterate on real data
  • O: Outcome-focused
  • N: Natural use
• Quote: “We want to build the right product where people cannot get the fancy demo, they get the solution.” – Vishal Virani [18:50]

Founder Philosophy: First Principles & Focus

• First Principles Thinking:
  • Focus on fundamentals, not methods—understand the why and invent your own approaches rather than copy others.
  • Quote: “Focus on principles, not methods. Once you understand the foundational principles, you can invent the method that works for you.” – Vishal Virani [79:31]
• Avoiding FOMO:
  • Don’t chase every trend. Set clear goals, say no to distractions, and stick to your strengths.
• Sustainable Impact:
  • Put ROI and user impact first; resist unsustainable blitz-scaling.

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Memorable Quotes & Moments (with Timestamps)

• “If you just go on a vacation for seven days, you felt like you are not working from last seven months. The world is moving so fast.” – Vishal Virani [00:56]
• “Now world is moving from a demo to dollars and I can see a real impact on ground.” – Vishal Virani [03:36]
• “If you are not able to translate hope into trust, you will have a churn. A very big churn.” – Vishal Virani [11:20]
• "We are not building code generators. We are building a business launcher...code generator gives you files, business launcher gives you revenue." – Vishal Virani [70:43]
• "The future belongs to builders, not just coders." – Vishal Virani [70:43]
• "Full-stack is not just front-end and back-end, it's PM + design + coding." – Vishal Virani [67:30]
• "AI will not replace people; it will reform the roles and empower folks." – Vishal Virani [82:35]
• On focus: “Once you define the goal, you need to say like, what skills you need...put your 100% focus and say no to everything. Otherwise, you will not be able to achieve anything.” – Vishal Virani [76:59]

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Important Timestamps

• [03:36] – “Demo to dollars” in the current AI market; AI now meaningfully impacts business models.
• [11:20] – AI tool churn, hope-to-trust, and startup sustainability.
• [15:04] – Vishal’s sustainable business philosophy.
• [22:34] – Rocket’s “Vibe Solutioning” platform fundamentals.
• [29:19] – Contextual memory and cross-role collaboration.
• [40:00+] – AI as a “second brain;” quality of life impact.
• [55:04] – Enterprise AI adoption, compliance, security expectations.
• [63:06] – Practical tips for employees fearing automation.
• [67:30] – Redefinition of roles: the “full-stack” product owner.
• [70:43] – Three takeaway ideas to remember.
• [71:32] – Meaning and breakdown of “Vibe Solutioning.”
• [79:31] – “Focus on principles, not methods” explanation.

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Summary Takeaways for Listeners

• AI is no longer a science fair project—it’s a business engine. Buyer expectations are shifting from perfect outputs to real, contextual solutions.
• Real lasting business value comes from focusing on solutions and impact—not just dazzling demos or raw code generation.
• Prepare for a future where job titles blur and individuals are empowered by AI to handle end-to-end products and projects.
• Success comes not from chasing every trend, but by sticking to clear goals, first principles, and personal/organizational strengths.
• AI is here to empower and reform work, not wholesale replace it—future-proof yourself by learning, upskilling, and adopting a builder’s mindset.

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Transcript

[Scott Clary]

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[Vishal Verrani]

Today, in a world of AI, if you just go on a vacation for seven days, you felt like you are not working from last 7 months. Most of people are using AI for the hobby and curiosity. But now world is moving from a demo to dollars. I can see a real impact on ground.

[Scott Clary]

He built the tools to help creators and founders build the future without writing a single line of code. Vishal Verrani is a tech founder and innovator whose work has shaped the next generation of no code platforms.

[Vishal Verrani]

If you look at all the platforms in the early days in the SaaS world, 80% of retention is not even a good retention. Now even people are comfortable with 45% potential. And that's where if you are not able to translate hope into trust, you will have a churn. A very big churn. AI will not replace. It will reform your job roles, the way you work, your workflows, patterns and everything you need to understand where the human intelligence is going to be most critical thing. And do you have that intelligence or not? And if not, just try to adapt it.

[Scott Clary]

Now as the force behind Rocket, he's making app creation more accessible, scalable and powerful for entrepreneurs of every background. From engineering expertise to product leadership to global impact. His journey shows what's possible when technology. Technology meets vision.

[Vishal Verrani]

Every day there is a new technology. Every day there is a new update in the AI. If you jump here and there for everything, you will not able to achieve anything at all. Once you define the goal, you need to see like okay, what skills you need to acquire, put your 100 focus then you need to say no to everything.

[Podcast Host]

Vishal, it's, it's nice to sit down in real life. We did a podcast, what like a couple months ago, A few months ago. We're in New York now. It's, it's freezing cold. So I'm sorry about that.

[Vishal Verrani]

Yeah, I can't control the weather. But I'm super excited to back in your podcast like last time. I really enjoyed our conversation and that the warmness, warmth of that conversation is still there. So I, I can adjust with this

[Podcast Host]

new see you leave. Leave me a review. But in all seriousness, I know how fast Rocket is growing which is super impressive and I think it speaks to how effective you are as an entrepreneur. We're going to talk about how it's growing, why it's growing because again we're going to talk about AI, but in the world of AI if people don't know what you're building, they'll learn. But there's so many different people building right now in the world of AI. So I think that one thing I'm very interested in is how you stand out and how you differentiate yourself because I'm sure there's some of your peers, many of your peers that are building probably similar or like solutions and it's a race for sure. But tell me so since we spoke last, what's changed in the world of AI? Because it's moving very quickly.

[Vishal Verrani]

So I, I always used to say this thing like in a world of AI if you, if you like just go on a vacation for seven days you felt like you are not working from last seven months. So but if I want to highlight like couple of things, the first thing is like now in like we spoke I think before three months and I can clearly see world is moving from a demo to dollars now people are able to really make money off like whatever they are building. Another part is like a new models are like quite stable now. It's hallucinating less in compared to like the previous avatar of it. So we see a lots of agentic system that Claude and OpenAI and everyone launch, particularly the Claude cowork is like one of the greatest example like what AI can do. Like these are like couple of things that recently changed in the AI world like stability of models and the real use case like real business people start building using the AI. Before that I would say like most of people are using AI for the hobby and for the curiosity but that's why I use the Word like now world is moving from a demo to dollars and I can see a real impact on ground.

[Podcast Host]

Yeah, it's interesting. Last time we spoke, um, I had, I had a couple different stories about companies that had tried to use AI, especially when it was first very popular, and they would try and deploy it across business unit or a team and they'd say like, hey, you know, or they would even probably not so smartly lay off people and then ask the people that were replacing them or filling the gaps to like use AI to sort of like compensate for the people they just laid off. And, and the issue was teams were less effective and the AI that they were using when sort of chat GPT first hit like the headlines, they weren't completing the tasks as quickly as if they could just do it themselves. Right. So that turns people off from AI. And I want you to give a little bit of context about why that is. But one of the things that you said that really stuck with me, that it was like a light bulb moment, was how humans aren't trained to communicate with AI. We just assume that give AI to somebody, they're going to be more effective. But talk to me about the issues that we had with AI over how many years has it been? It's only been like two, three years.

[Vishal Verrani]

Three years. Yeah.

[Podcast Host]

No, but talk to me about like the issues that were really plaguing AI when it sort of first hit news cycles, businesses tried to use it versus where we are now.

[Vishal Verrani]

So the first thing you need to understand the workflow. So initially I want to give an analogy of sass. In the sas, generally you are trying to figure out a tool which can sit in your workflows. Like, okay, you have a standard process. Like, okay, I do all the works. In step two, step three, step four, I always try to figure out a tool or I will build my own. If I'm not able to do that, I'm not able to follow the process with the platform. But in the AI, you are optimizing those workflows. So ultimately there are now two kind of in business. One is who are changing their flows based on the AI tools available and how they can use AI efficiently versus there are still a business who are trying to figure out like, okay, AI will sit in their workflow and will do a magic. Ultimately, those are the people who are not able to realize the maximum value of AI, but who are adopting AI in the new form of a business. They are able to move very quickly and they are able to see results on ground. So let's consider like this, there were SDLC software development life cycle and now there are SD AI aidlc AI development lifecycle. So you need to understand like all the roles are redefining. Initially you heard a product managers and then the designers and then the front end developers. Now that one guy, a product manager can do a product research, product management, designing and the development in one go. So this is like a new change that people are now start adapting and we are able to see a real impact on ground. And that's why I said like now we move from a demo to dollars because people are able to understand these new workflows like how to use AI optimally. The second part is like initially like lot many folks are having a problem with writing the prompts and all. Like people are generally throwing a random request on ChatGPT or any wipe coding platform. Even on the rocket we observe like okay, I just want to build this. And they are not clear like what exactly they want to build. So understand like the fundamental way of using the AI is like you have something back of your mind like okay, I want a very beautiful website. But what is the definition of that beautiful? You have it in your mind like what you call it a beautiful, but AI does not know like what is the beautiful for you. It has some different context of a beautiful website. So what started happening is like people are saying like okay, AI is not giving me a right results. But now after three years everyone is starting realizing okay, if I'm saying beautiful I will not get the exit result. But I need to mention everything like okay, I need this kind of an animation, I need this kind of a font style, I need this kind of a layout for my website. And now AI started generating those kind of websites for them and they are like realizing look at this, AI has a great power and it can add a lots of value in my business. So this is like fundamental behavioral change which happen in the market. And that's why adoption of AI is way better than adoption of cloud. If I just put it in the horizon of time perspective, how quickly.

[Podcast Host]

So the fundamental change in AI is actually a fundamental change in human behavior.

[Vishal Verrani]

Yes, even the buying pattern. So internally I always used to say this in the SaaS world, people were buying something after trusting the platform. Like okay, I will try for a one month, once I get the full trust, I will use it. Versus in the AI world the buying pattern is because of an hope. I hope this tool will fix my this problem and I will throw the money. And that's why fundamentally we see like to achieve $100 million of ARR, people took up like one, one year or two, three years of time versus nowadays. The rest is like, okay, I achieved $100 million ARR in like eight months.

[Podcast Host]

Or there was a company that just

[Vishal Verrani]

ajiv $200 million of ARR in like just one and a half year or like less than that. So that is because of hope. Now the buying is happening because of an hope the AI will solve my this problem. So let me pay and let me try. So that is like everything is changing fundamentally. Like from buying behavior to the way people are using the AI in their day to day life. And now the kind of an adjustment with the error rate as well. So initially people were saying like AI cannot give. AI is not giving me 100% accuracy. But now people are settling with like, okay, even if I get a 60 to 70% accuracy or 80%, I'm good with that. I will do the rest of the modifications. So this is like things has been changed in last couple of months or I can say years.

[Podcast Host]

I'm curious though, because you mentioned you touched on something that's very interesting. Like hope is not usually a very good business strategy. It's not. And for somebody to throw money collectively for businesses to throw money into AI and say I hope it's going to fix my business, which is going to drive a $200 million ARR in a year and a half. Do you think that, do you think that some of these companies are sustainable?

[Vishal Verrani]

A very good point. So I always used to say in Rocket, we have a fundamental philosophy of running the business, like how we can build a sustainable business. The reason is if you, if you look at all the platforms and in the early days in the SaaS world, 80% of retention is not even a good retention. Like okay, when you are doing IPO, people were expecting more than 80% of retention and 110% of your NRR and everything. Now even like people are comfortable with 45% of retention. And that's where if you are not able to translate hope into trust, you can, you will have a churn. A very big churn. Even the, the best of the best wipe coding platform is having more than a 50% of churn.

[Podcast Host]

It's huge.

[Vishal Verrani]

Which is huge. And right now, recently I come across a couple of data points where monthly retention is like 28%, 30% and still people are able to raise a very huge round in the AI space.

[Podcast Host]

But that does signal a bubble.

[Vishal Verrani]

So that's the signal about that sustainability of business. Now understand like world is moving so fast and all the parameter has been changed. So initially again I will take the analogy of SaaS a lot because that's how I can tell you how business has been changed from before three years and now initially a gross margin needs to be like 80% or at minimum 75% less than a 75% of gross margin business is a very bad business and retention at least needs to be like 85, 90%. Nowadays everyone is operating at a single digit or like around 20% of in gross margin business in the AI because everyone is just throwing your money on like frontier models and with like 28 to 30% of like retention I I call it a ventilator startup. Definitely you are growing at like $50,100,000,000 of ARR but it's on life support. Yeah, it's like that every time you need to be in a hope tomorrow my retention will fix, tomorrow my gross margin will be fixed or I will raise the next round. If you are not able to raise the next round and if you are running out of money because your business is on a ventilator like that, with that kind of dynamics you will not able to survive or right now realize

[Podcast Host]

that even some of the biggest names that people know have these kinds of churn rates.

[Vishal Verrani]

Yes. So the thing is like okay, right now we haven't seen any kind of study, a case study of taking a startup to ipo. So like cursor is very very good. Startup OpenAI is very good. Everyone is building a very aggressive business but yet a native AI company. We are waiting for one really good company who is in the prosumer market and going ipo. So once we got to know about the data when they do a filing and all we will realize like okay, what are the new dynamics of the world versus there are business like in Harvey who is like focusing on legal, very very stable business. Not a very prosumerist company. But unit economics are very strong. So if you are planning to do AI business you need to be very sure like okay, in which market you are coming, it's going to be vertical or it's going to be horizontal. A prosumer market. And then at what rates you are going to operate? What will be your standard economics and what will be your philosophy? Because nowadays you need to focus on your signals, your strength. Because like okay market is like so distracting. You will also feel like okay, I want to jump into this market and I want to build a great business. I want to build a hundred million dollar business overnight but that's how things will not work. You need to. So fundamentally we don't think like okay, we want to grow it to $200 million of ARR in like eight months. With this kind of an economics like we, our gross margins are really good. Like we are operating at 50 to 60% of gross margin.

[Podcast Host]

This is where you're at right now.

[Vishal Verrani]

Yeah, right now we are. So sometimes like we, we got the feedback like okay, you are not doing enough in your space the way other are growing. You should do something crazy. I said like I will do crazy stuff, but on the product side it's a lot.

[Podcast Host]

I don't like the, don't like blitz scale.

[Vishal Verrani]

Yeah. So it's like even it's a blitz scale. I'm open to do that blitzscaling but with my unit economics in control, I want to build a sustainable business. Like we see a crypto business. Like okay, at one point of time it wasn't like everyone wants to build a crypto business. Everyone is like building a unicorn business. Now how many startups you are aware which were unicorn and like before three or four years and now you are even there existing in market. To be honest, like that's not my fundamental of running business. I'm a very different kind of a founder. I always believe in sustainability. I need to provide ROI to my users when they are using a product. So we are always getting to depth of product. And that's where I say like we don't want to get into vibe coding platform. We truly want to build a vibe solution platform which can deliver the right results to our audience and they should build a revenue when they are using our product. If they are paying a $50 to me, they should get a $500 of like benefit. That's, that's like always whenever we are deciding about any feature, we think about this like okay, how we truly, how, how can we truly solve the problem for our user instead of like just generating the random results for them. So like this is like couple of fundamental operating. So we call it like operating system of rocket and which is like where we have like fundamentals. So whenever we are making any decisions we always look at that like okay, what are our fundamentals? What is our operating system of working and based on that we are making decisions like what is there for our users, what is there for our investors, what is there for our sustainability? Because like I'm unstable to my people who are working with me, to my investor and to my users. So right now like we are having more than a million users. And if tomorrow I said like okay, we are winding up our startup, what will be the impact on them? Because they trust me, they put the money they pay to me to use our product and tomorrow I'm saying like, okay, we are running out of money and we are shutting it down.

[Scott Clary]

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[Podcast Host]

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[Scott Clary]

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[Podcast Host]

Now if you like the show, you

[Scott Clary]

need to check out the Hustle Daily Show. It's hosted by Juliet Bennett, Ryla Rob littrust, Ben Berkley and Mark Dent. It's brought to you by the HubSpot Podcast Network. They break down the wildest stories in business and tech. Everything from billion dollar industries hiding in plain sight to the real impact AI is having on jobs right now. It's quick, it's smart, it's never boring, and it's daily. Listen to the Hustle Daily Show. Wherever you get your podcasts, where we

[Podcast Host]

operate, where did your business philosophy come? Well first of all, what is your sort of founder business philosophy and where did that come from?

[Vishal Verrani]

So very hard question, where does it come from? Because it's naturally like right after the college I started my first venture and this is like my third one. And like it come naturally like when you interview folks. So I started with a service and consulting business where you interact with your client on a daily basis and you, you got to know like how you, how you are able to deliver the ROI to them. Is there any impact of like your work in their life? So it's like it comes naturally. But ultimately whenever I look at the business I always say like, okay, why Google become Google? Or like Apple become Apple because they have a long term Vision they don't build on like short outcomes. Like okay, I want to go like this and I want to build a very quick revenue and doesn't matter like tomorrow I will die. So like how you can build a long lasting business and the kind of an upbringing that I'm having where we take the risk but always we think about like the person who is going to consume our results and all. So it's a very natural philosophy that I build at my own. And, and, and that's like my personal belief to be honest. And if I answer your second question like okay, what, what are our fundamentals of like operating the business? What is the fundamental philosophy of Rocket is as I said, we want to build the right product where people cannot get the fancy demo, they get the solution. And that's why I multiple time I repeat this like we are building a true web solutioning platform and that solution is like how we can help them to improve the business. So I will give one example and then I will move to the another point. Like what's to build? How to build an application become a commodity. Everyone knows like I can put the prompt and I can get the code using the cloud core or lovable or replit or any web coding platform, even the cursor. But what's to build is still a very big problem. So again we'll take an analogy of your podcast. Like okay, anyone can start the podcast, anyone can interview any person. But on what topic for whom and who will you invite in your podcast that is making a biggest difference. Otherwise like running, starting a podcast is not the big thing but on what ground you will start, in which area you will start is the big thing to decide. And, and that's where you make a lots of strategical call. And that's, that's how I said what's to build is the biggest problem. How to build is not the problem nowadays. So we are solving on what's to build part, not just on how to build. So that is the first thing like what is what how we can improve our user's life. That is the first philosophy that we always follow. And Rocket, while we are deciding any future, the second is like sustainability of business. Like does our unique economics in control or not? Then am I doing any wrong things to build my business? Am I create a negative impact on anyone on my investor or on economy or in anything. So ultimately we need to be respectful for all the resources that we get in our life and we need to think deeply while we are deciding those things. So like these are like couple of things that we always follow while we are making decisions.

[Podcast Host]

So then if you, if you look out five years, how you're building Rocket is fundamentally how you believe businesses will need to interact with AI. So right now it's giving answers, but it's not giving answers with context. It's just giving like direct response to what the user inputs. So the future of AI speak about that. The future of AI in business. How does AI actually work with business? And in three, four, five years from now, maybe even sooner.

[Vishal Verrani]

So the highest thing, like right now everyone is talking about the context graph where your answer will be very contextual.

[Podcast Host]

But even explain that, go a little bit deeper because not everybody understands what that means.

[Vishal Verrani]

So before that let me explain in Rocket, what we are building is a vibe solutioning platform. So that's how then I can connect a couple of technical things very easily. So we are building a vibe solution on three fundamentals. The one is a contextual memory, the second is autonomous behavior of an agent. And third one is a deep workflows. So let me start with the last point. First, deep workflow is what? Let's take an example of a brand website building. You may have your website like millions of website is available in market, but when you go to a user who is running a website with like 100 pages, okay, are you using any wipe coding platform to maintain your.

[Podcast Host]

Not now, not now.

[Vishal Verrani]

The reason is a fundamental missing workflow. So when are you building a new page on your ongoing business? It's not just about generating a code, it's about reusing your all the components of your existing website, your brand tone, your brand guidelines, your digital assets and everything and then a generation of code in optimal way. And that's not done. Then after like you need to optimize it for all your SEO, the technical SEO and now the GEO and everything. You need to install all the tracking codes. Then you need to also test like, okay, like am I install all the tracking codes properly or not? So you need to release on your QA environment or a staging environment and then you will optimize the performance and then you will release in the production. Now understand like building a landing page is a very, very simple use case of a wipe coding platform. But everyone is fundamentally missing this workflow. So still today like none of the wipe coding platform is able to solve the problem of an existing business where they're having a very good website and there is millions of website available and still they are struggling to use a wipe coding platform without any technical help.

[Podcast Host]

Why are they struggling still. Is it because like highlight, is it because they pushed the product to market too quickly? It's still kind of like in demo mode because they wanted to capture mind share and market share.

[Vishal Verrani]

Yeah. So ultimately like when are you building in a horizontal space, it's very hard to focus on one use case and get into depth of that. So that's where you, you miss the workflow. You because you are moving so fast. Every, every hobbyist wants to build applications. Ultimately you need to make those strategic decision like o in which direction you want to move. Like okay, you want to make billions of non coders. Do you want to move all the billions of non coders to a coder or do you want to solve for one particular use case which is like in depth, which is the performer? Most people, yes, they prefer the first flow. So ultimately that's as I said, like in the web solutioning platform we are fundamentally solved for the workflows and we are getting into depth of everything. So that's one of the biggest release which we did in like last week and it's like now it's solving entire end to end thing. So you just need to put the URL of your website. We'll get into depth of everything. And then if you want to generate a new page or if you want to let's say redesign your entire website. But you, you want to keep your entire SEO and the content as it is. You just need to give that input and we'll do the rest of the job. Then we connect the slack and your WhatsApp and everything. So even you don't need to sit on, on a platform. We bring the entire rocket platform in your WhatsApp. So you can simply say like okay, we will send you the user URL once we build. You just need to see, you just need to approve and we'll make it live. So it's like we are blending all the behavior of like user and the workflows into system in a way where we can create the impact. And that is the first pillar of our Vibe solutioning. Now if I talk about the second pillar which is like an autonomous update. So autonomous update is what as a vibe solutioning platform. Sorry. So before even going to that second pillar, let me talk about the solutioning part. As I said like everyone know how to build but no one knows like what's to build. And it's a very hard problem. Like even people know what's to build. It's. It's very hard problem to get into detail. So what we did is like we built the entire contextual memory layer with our solutioning capability. So now let's consider you are a CXO or you are a CEO but you don't have a big team. Now if you want to get into detail of your competitive research like let's say you are building AI product in in a in a video creation space. Now how much time you will invest in in doing your competitive research. This is a one time job. Then how much time you will daily or weekly spend on your competitive research. And all because you don't have a chief of staff. And all because you are a very early startup. Even if you have a chief of staff like okay, you need to prioritize all your tasks. I'm just talking about the one particular task. So what we saw at Rocket like okay if you even before building, if you say like okay I want to build my startup in a video creation space in the AI with using the generative AI. Can you do a 360 degree competitive research for me? And in 30 to 50 minutes we'll give you a McKinsey style a very detailed a competitive research where we'll touch upon all the data points we are monitoring like thousands of data point in the background and that research is like that in depth. Like in our recent beta rollout like we observe everyone said like okay Now I have McKinsey in my pocket. It's like that kind of a detailed research that we are providing to the user. And now as I said like in my three fundamental pillars, Contextual memory layer, Autonomous update and the workflow. I talk about the workflow and now I'm talking about the contextual memory layer. So what we are doing now like you have a small team as a CEO you build your competitive research and you liked it like okay this is like to the point now you can ask your team, you can simply create one more task for your team and like okay build a prototype where we can or you can just assign a task to your product manager. Can you build a PR this where we can utilize all the negative points this all the existing startup is having and tell me like what we what we can build here. So now your product manager guy just need to put like 23 lines 2323 line as a prompt. Like okay this is like my philosophy like analyze all the negative points that we get from the competitive research and build me the PRDS. Now because our system is already having a 70 pager competitive research that you build as a CEO. Now consider I'm a PM of your company. I don't need to explain everything because we have a contextual memory layer which works across the organization.

[Podcast Host]

So if you are bad at prompting, this is where would actually work.

[Vishal Verrani]

Even you don't need to do that prompting and all that is the importance of the context. And here I'm talking about the one data point. But when we talk about the context graph it is like way beyond that. Like okay, you have the existing system, you have all the rationales behind making the decisions and all we can contextualize everything to generate the answer. So context graph is like the new things. And after one year in all the startup you will, you will start listening this word like okay, we have a support of your context graph and everything. So that's how we are contextualizing the entire memory layer where a people can run the organizations. It's not just about building the product. And then if you're a prototyping guy or a front end developer came and said like okay, just take the PRD which my product managers manager generated, build me the prototype. So now you don't need to explain what you want to build in like thousands of line because we have everything. You just need to tell us like okay, what is your design philosophy? Like okay, I like a glass morphism, kind of an UI and blah blah blah. Take these five PRDs and build me the end to end prototyping. So that's how we are getting into workflows and the contextual memory layer. And the last part is the autonomous update which is like one of the most favorite part of my product. And because I'm using it personally, I'm using Rocket for my daily use case where what it's doing is like okay, I build the competitive research and then I simply put a prompt like okay, can you give me a daily digest, weekly digest and the monthly digest based on like critical data pointers in my email or over my WhatsApp and what our system is doing. Like okay, you have a competitor xyz. So for an example right now I'm just hypothetically I'm putting like Cursor as my one off competitor. So our system will go to Cursor's homepage. Okay, what is the change in their headline or positioning? What are the changes in the technical documentation? What are the changes in their like whom they hire on LinkedIn. So ultimately we will what are the narratives of like CEOs talk? We will, we will like analyze all the data points and our system will serve you the wisdom. Like okay, recently Cursor hired these two key profiles, there is a change in the CEO's narrative. There is change in narrative of like company handle on the X. There is a change in technical documentation. So these are my three observations. They are going to start the new motion in non developer space. These are like two other things and you are very weak or you don't have anything at all in this particular space. And that can be a negative pointer for you going.

[Podcast Host]

But at least you're aware of it now.

[Vishal Verrani]

Yeah. So it's like on daily, monthly and weekly frequency we are going to sell this wisdom to our users. So when I say a vibe solutioning, we are solving your problem. We are solving your problem of like a competitive research. Not by just throwing the data to you, but like okay, what is the meaning of that data? What is the pattern that is there? And that's where you need to hire a very good agency. Either the like McKinsey Dale kind of.

[Podcast Host]

I was going to say as you describe this, it sounds like this is going to replace any of the top four accounting like big four firms. Because. Well, I mean okay, this is not, this is not, this is not business advice. But it does sound like you could at least try this as opposed to spending hundreds of thousands of dollars for.

[Vishal Verrani]

Yes.

[Podcast Host]

So for a consulting firm consulting, we

[Vishal Verrani]

have a very simple thing like we, we are not here to replace anyone. We are here to reform the roles.

[Podcast Host]

You are disrupting. You're disrupting because now a solopreneur can have the same level of competitive due diligence.

[Vishal Verrani]

Absolutely.

[Podcast Host]

As somebody who can pay $200,000 a month.

[Vishal Verrani]

I can pay for a million dollars of McKinsey bill now at this moment. But I can have Rocket to help me with that. I cannot have army of like a chief of staff and and the advisors to advise me on all the pointers here. My tool will do that things for you. So that's how we are going to disrupt the way people are making a decisions and how we can help them to solve their problem. So now your original question, like okay, how AI is going to transform everything from now onwards? Like in the five hours of Horizon, I'm talking about all these points which we already release it in live. So this is just in beginning where we are contextualizing your entire context. We are giving you autonomous update and we are generating everything in your entire workflow. Now just imagine after five years how powerful it is going to be.

[Podcast Host]

Well this is so for context this is like one particular use case, one particular solution.

[Vishal Verrani]

Yes.

[Podcast Host]

There's a million different things yeah, so

[Vishal Verrani]

like your CRO can use the platform, your CMO can use the platform. So now let's say you have a cmo or if you don't have a CMO at all, as a CEO you are doing all the marketing strategies because now you have the context of your product, PRDs, competitive research and the prototypes that you build. Now you just need to say like okay if I want to go from 0 to $1 million and I don't want to spend more than like 200, 300k dollars on my marketing budget, can you build me the strategy? And it will suggest like this should be your influencer marketing strategy or this is your SEO strategy. Now if you are saying like okay, can you build me a strategy of my long tail keywords for the SEO or a geo, it will suggest like okay These are the FAQs that you can cover. These are the long tail keywords on which you can build pages and this can be content of your pages. So from building your growth strategy to marketing strategy everywhere, our web solutioning platform can help you. And going forward it can be for legal team as well. Like okay, someone send you a notice about your copyright of your trademarks. Like okay, I run a company named Rocket and you are another Rocket. So like okay, you break my entire trademark rules and all and okay you just need to put a prompt. I receive this notice, can you help me with like reply? And it will give you the reply. Now the interesting point is like after five years I'm looking at this entire system. It can analyze your calendar, it can tell you like okay tomorrow you have a podcast with Vishal. These are the five points that you can ask because this is like a market data that I'm having available. Even you not need to go in a system and put the prompt. It can analyze your calendar, it can answer all the things. If you receive an email from your board or from someone, you can just forward that email to our system and in return after one hour it will give you answer like okay these are the things that you can reply or that you can look at it. So understand like the way of operating is going to be so easy. Like nowadays maybe you and me receive a tweet. So like my co founder, our user forward is like okay, do you know about this new tool which is coming in market and you don't need to look at it, you don't need to waste your one hour of time, just forward that message to a rocket. Rocket will do a deep analysis and it will send you the report. Okay, ignore it's not for you because you are way ahead than them. But this is like one or two good user sentiments that user is talking about on the social media and all the review platform. Just consider this for you.

[Scott Clary]

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[Podcast Host]

35 essential vitamins and minerals.

[Scott Clary]

It is no sugar added, gluten free under five bucks. I always keep a few of these in my fridge and honestly it solved the whole back to back meetings. Go go go nonstop, no time to eat problem. Super well.

[Podcast Host]

And this one's new for me.

[Scott Clary]

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[Podcast Host]

I had the Blueberry this morning.

[Scott Clary]

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[Podcast Host]

And you should too.

[Scott Clary]

So if your revenues are at least in the seven figures, get our free business guide demystifying AI at netsuite.com Scott Clary the guide is free to you at netsuite.com Scott CLary netsuite.com Scott CLARY

[Podcast Host]

so it also allows you to not. I mean as humans, context switching is not good. And through a day as a founder, unfortunately, as much as we try not to, we switch between different contexts and different ideas pop up and we get distracted by things and we get worried about things and it's just human nature. So this acts as the best way I can describe it. Like the future of AI, what Rocket is solving for right now is really just like. It's. It's like a second brain.

[Vishal Verrani]

Absolutely.

[Podcast Host]

That removes logic, that removes emotion from decisions, helps you focus, it helps you do all the things that AI should help you do.

[Vishal Verrani]

Yeah. And at the end the impact of this entire system is going to be the quality of life. Like recently I read lots of 2026 trend and the what happened in 2025. Even in the Valley most of the founders are in pressure like not having a quality life because they need to spend 15, 16 hours of their day to do the work, to monitor everything. And as in beginning I said if even I took a seven days of vacation, I felt like I am out of business from last seven months because the information flow is like that high. Like no one is able to digest it, no one is able to consume it. And it's going to increase every day because like world is changing so fast now you don't need to get into pressure of everything, just forward that entire pressure to Rocket. It will monitor, it will make decisions. You just need to give a rationale of like your mental models and the framework, the way you are making decisions. Rocket can adapt it and it will tell you like okay, this is good for you, this is bad for you. Even if you're on vacation for 15 days with your family, no worries. After 15 days we'll tell you like okay, you should look at these three things. Otherwise everything is noise in the market. You can ignore it or you can deprioritize it. So we'll help you what to prioritize, what's to deprioritize and everything. So that's how, if everything goes well with the rocket, like the way we are planning and if we are able to build the right accuracy in like next couple of months, I will be happy. If we are able to improve the life of a human being by making those decisions, that's the real impact.

[Podcast Host]

But I would say that AI has actually had the opposite effect on most people because right now, yes, it can 10x your output, but it also, you know, 100x is the amount of information you have access to which then increases your anxiety. Like as, as a founder, this podcast is, you know, my little company. So now I have way more information to digest. I have way more even when I'm preparing for a podcast. Now I can now I can listen, aka transcribe and I can put 10 to 15 different podcasts or books that that guest has created. And now I have to figure out, okay, which topics do I want to talk about? So now there's more things to figure out, not less. I can do more, but my life is not slower or quieter or in fact it's probably a little bit, probably a little bit more stressful. Yeah.

[Vishal Verrani]

And we are living in a world of fomo. Like okay, I haven't tried clothed co work yet. Am I missing anything?

[Podcast Host]

Okay, so let me prep for this and I want to prep it in Gemini and I want to prep it in Perplexity. I want to Prep it in ChatGPT, I want to prep it in Clot. Oh, I'm going to try GROK too and see which one gives the best output. And now you're not more efficient at all.

[Vishal Verrani]

And see how dynamic world we are living in at one day everyone is saying now OpenAI launch GPT5 and the web search and Google traffics are dropping and Google is going to die and everyone is going to use the ChatGPT for everything. And then they launch the Atlas and everyone's saying now Chrome will die. And on the another day there is GPT3 and open air traffic dropped by 26%. No one is using Atlas because Chrome is now powerful. Now Claude is launching something else. So every day there is something who someone who is going to die. On the other day they are growing like 5x. So it's like and, and that is because of that fomo I'm missing something. So everyone all of sudden when there is announcement, everyone jump on one thing and tomorrow they are again going back. And when you go on the ground you will see people are still using the Chrome and Safari and there is no change. We are saying like okay, all job is going to be replaced. But when we go on the ground and still if you want to hire a good growth manager, it's very hard to get a good growth manager and it's very hard to find a good resources when we comes to hiring part. So hiring is not going anywhere. Still there are hiring agency agencies who are helping everyone to hire. If there is a so powerful AI and agentic flows then why people are still having this? And that's why I'm saying we are not here to replace anyone. We are here to empower. And AI is not understand you need to, you need to keep this thing in mind. AI will not replace that. It will reform your job roles, the way you work, your workflows, patterns and everything. But if you think like okay, it will come and overnight it will replace everything, it's not going to happen.

[Podcast Host]

You know it's funny when people are worried about AI replacing everything because the way that I think about it is OpenAI has raised more money quicker at a higher valuation than almost any company in history. And I still can't take a line

[Scott Clary]

of copy from OpenAI and post it

[Podcast Host]

anywhere and not and somebody not say Scott, stop writing with AI. So if the highest valuation company with the most money raised in the shortest period of time still can't write copy as well as me or a semi decent copywriter and that's not even my job. It's not replacing anybody in the short term.

[Vishal Verrani]

So it is helping you in optimization of your post grammar, fix some of your articulations and all.

[Podcast Host]

But when you but the em dashes

[Vishal Verrani]

and the emojis like yeah, so that's the issue. So we need to understand it is definitely going to replace all the mediocre and the clerical work, but not the actual work. So as a human being we all need to focus on that intellectualness of, of that kind of like okay, how we can add value and quality without wasting more time using the AI. That's, that's what going to happen in like next five years. And we strongly see this kind of in trends where people are adopting more and more AI to bring the quality in the shorter time. So maybe for an example in the video editing space, let's say I'm taking hypothetically you were spending like one month of time for an example editing all the small things and all now with the AI it can done with the same quality in like 5 days. But still, you need that human being who is doing that editing job.

[Podcast Host]

Anybody who's in, like the top of their field will always have work. It is, but. But this is the same thing for any technological sort of revolution. Like, it always sort of replaces mediocre work and administrative work and clerical work and. And assembly line work. But that's not where. That's not as an individual, if you are in these roles, I mean, to future proof yourself, you have to be learning new skills and to be advancing yourself, because it wouldn't just be AI, they would replace you at some point. Okay, so I want to read a story. It's one of my favorite stories, but I think it actually speaks to how you operate as a founder. So I'll read this story and then you'll understand where I'm going with this. But this is. This is a story about iPhone and Steve Jobs. So when the iPhone was being developed, they had a demo ready for Steve Jobs keynote, and it looked perfect in rehearsals. But the engineers knew that if Jobs did things in the wrong order on stage, it would crash. And they literally taped this sequence of things that he had to do on the podium. And it was basically just theater. It wasn't like a finished product yet. But Jobs really pushed them. He said, make it actually work, and they made it actually work. For this particular keynote, I don't know what year this was, but that's when it became the iPhone. So talk to me about. And when I read that story, the reason I read that story is because I find you've spoken a lot about going from demo to dollars. I find that a lot of people in the AI space shipped before it was truly ready, because

[Scott Clary]

if we just

[Podcast Host]

look at the output of some of the earlier models, it is less than perfect. So talk to me about your decision. This is going back to sort of like your. Your founder principles and how you think through. Why did you choose to delay until something was like, truly ready versus shipping an mvp? Really? Because MVP is a popular idea. You ship. And especially in a market like AI, you could have gotten traction much earlier on.

[Vishal Verrani]

So, see, both the decisions are right in this world. Like, you can go very quickly. Build in public is a new concept nowadays. And to be honest, I really love that concept when it comes to build in public, because you can get a very quick feedback. And in the early days of SAS, like people were expecting 100% accurate results and all. Now with the AI, you know, because there is a hallucination, and now people productize in the entire hallucination okay, I'm going to make mistake. It's okay. But still, you can try marketing around the hallucination. For us the decision was like, okay, we were not the first mover, so you always need to see what are your strength and where are you. So let's say when Lovable launch or when Bold launched the wipe coding platform, they were very early in the market so they need to test their entire product. They need to build in public. And as I said in last podcast also I mentioned, I'm grateful because they launched and they created this entire space for everyone so they can do that. But for us, because we are third or fourth one or maybe sixth one in the market who launch in this particular space. So we need to see there will be AI fatigue. So like okay, I tried Lovable, I tried replit and all. None of them worked for me. So now will they give a try to rocket if I do the same thing if I launch my at my MVP stage and if I try to build in public?

[Podcast Host]

No, you'd lose that because that's going

[Vishal Verrani]

to be AI fatigue for them. So we decided like, okay, we'll launch something very quickly but then after we'll focus on stabilizing the product, we'll focus on like building the right features, we'll try to get into depth of like workflows and all and then we'll scale. So now we are ready with that kind of a product. And now I call it like okay, before six months. When we launch it in June, it was like a version 0.0 for me. Now probably this is like next one month. I'm going to say like, okay, now we are moving out of beta and we are having a real product for every one of you. So that's how we make a very different decision. And nothing is wrong and right in this world. Build in public works really well. So like people jump onto that, that trend for us. Like we don't want to get into that AI fatigue decisions for our users. So we decided like, okay, build at least a basic product, right? And then go in the market.

[Podcast Host]

And when you talk to, because now you're talking to a whole bunch of enterprise customers, what are they worried about with AI? Like what are their concerns? Because I think that those are the people that have the most resources. Those are the people that are going to use it to generate true revenue. I mean you've probably touched on them a little bit. But like what are they thinking about the biggest companies in the world?

[Vishal Verrani]

See, I would not say like they are worried about something they are like quite mindful about like adopting the AI. So the cautious.

[Podcast Host]

Is that the. You mean cautious when you say mindful? Yeah.

[Vishal Verrani]

So ultimately, let's say yesterday I was talking to someone who is a developer in a Fortune 500 company in a fintech space and they are into investments. So ultimately they do a lots of high value trades in NASDAQ and all. It's very, very a sensitive space to be in. And I said like okay, are you guys using any code generation tool in your day to day life? Back of mind I was expecting no because like it's super sensitive regulated too regulated and if you make any mistake it can go very negative in the public market. And that guy said yes, we are using it on day to day basis and like from the beginning we are using GitHub copilot and all. Definitely we are not giving a try to all the new platform but we are using GitHub Copilot on the regular basis. And that's why I said they are not worried about something but they are mindful when they are making decisions of using any AI platform in the enterprise. So I see a new trend and here I will divide the entire world into three part US is always very very good when it comes to adoption of new trends. And then there's a Europe who is highly regulated and lots of rules and regulations. So even if they want to adapt they move a little slow particularly in terms of enterprises. And all the startups are good but when it comes to enterprise adoption the belief is very different versus if I talk about the rest of the world they follow the trends which you created in the US but always like six to eight month in gap. So what US is adopting today, maybe they are adapting after six, eight months they see like okay because of this thing now the US enterprise are moving very fast so we also need to adapt this. So this is like typical trend that I observe. So when it comes to enterprise what they want to make sure, like okay, is it regulated? Like okay, these results are good enough or not? Will I get into any trouble on the legal side if I use your product, your copyrights and everything then what is my security? If I'm using your product, what is the security of your startup? Like okay, will you be there tomorrow or not? Ultimately so there are a couple of things but otherwise like enterprise are like very, very aggressive in terms of AI adoption. I never seen it in the, in the cloud age and all but nowadays like it's very different and I don't think so they are worried about anything when it comes to AI adoption and

[Podcast Host]

it's a good point though, the, the biggest companies in the world, they're not concerned because how you work, you need a lot of that company's information to be effective. So there's no concern about security and such.

[Vishal Verrani]

Yeah, so that's why I use the word mindful. Like okay, they will ask you the question, where are you going to store my data? Will you deploy offline or are you going to put it on your cloud? What will the data localization? I want everything on my instance of let's say AWS or Azure or whatever they're using. So that's how they will ask you like hundreds of questions. If you are using your product, it's not going to be the easy way, like okay, just go and do a sign up and use my product. So they are in the adoption mode. But very few companies are able to sell it to the enterprises. The reason is like you need to be compliant, you need to be SOC to GDPR compliant and everything. Then your entire infrastructure, the architecture of product needs to be like that which can support the enterprises, the data localization and all. So let's say in India we are working with one of the biggest fintech company and they are like the largest in India and like even very big customer of like a very good SaaS production products. So when we talk to them like the first question, because according to Indian rule regulations you need to have a data localization. You cannot put a finance data outside of any Indian server. Will you provide that? And our answer was yes, we have that capabilities on the architecture side and we said like okay, in two days we can configure this and that's how they said yes to us. So your product needs to be ready for the enterprise. It's not like okay, enterprise are adapting AI or not?

[Podcast Host]

Not.

[Vishal Verrani]

Yes, enterprise are adapting AI heavily. But does your product ready for the enterprise or not? That's the biggest question that you will see.

[Podcast Host]

And then for the, the employee, the person who's using it, what do you see these companies doing for them? Are they training them a certain way? Are they, are they, are they keeping all of their employees? Are they doing layoffs? Are they only hiring if you have experience using AI? Like what are the trends that you start to see with people's jobs?

[Vishal Verrani]

See I have a market data available with me so I will not say like okay, they are hiring, firing or what they are doing. But I can answer like two very critical points here. Like okay, what they are doing right now and I See a one common pattern even in the US India market and all, everyone started the like. In fact they had it earlier. But now that innovation center is like come into picture and now their roles and responsibilities like is like far better than what they had earlier. So this innovation center in all the enterprises is the one who decide like okay, which tool is right for them. And then they do all the negotiations and everything and then they create a kind of an education plan for that entire organization, all the employees of the organization. So right now in most of our enterprise adoption we see a one, a clear playbook where the innovation center will come into picture and they will make sure like okay, they are adopting the right platform, they will run the POC and all and when you are ready they will roll it out to the entire organization or the respective department. This is one way. Another way where enterprise are adopting AI very heavily is like how they can create a very high benefit for their customers. So that's where like okay, you have millions of user and now I want to build something where my user can adopt our features or use our service in a really good way. So let's say a customer support department of all the big organizations are now AI powered. So ultimately that's where they are thinking about a big impact on their customers and that's where the employee is not going to be affected. It's like okay, how they can add more and more value in their customers.

[Podcast Host]

How do you just make the employee better is the general way they're looking at this.

[Vishal Verrani]

So ultimately, like as I said, how they can bring the quality in their life, in their work very quickly is what enterprise is focusing on. And definitely if someone is not fit into their workflows and all maybe because of an AI, we see lots of layoff recently and we also heard the story of they're hiring back, they fired someone because of an AI, now they're hiring back those folks and all. So there are multiple things going on in the market market and it's very early to comment but right now we see two things. One is all the enterprises are like adopting AI very quickly and for the customer and for the internal use cases and they are getting benefit out of it and everything of this is driven by their innovation center.

[Podcast Host]

It's interesting, I think that when enterprise adopts they have to make sure that the AI actually benefits the customer. And listen, I don't know every single use case but, but I do know that just interacting with businesses, I've been on the super frustrating receiving end of like you know, communicating With AI chatbots, as opposed to like a human that has no idea how to solve a problem, which just seems like they just rolled something out way too quickly. And then I'm like, I wish I had a human that I could talk to that had maybe AI information that they had access to. But. But as you use it, you start to realize like if you roll it out without humans, it is actually a relatively poor experience in some cases.

[Vishal Verrani]

For the see here like two, three things. As I talk about the context graph with the improvement in all the models, this experience is like drastically changing. So maybe in the early days before LLM still like many people deploy the bots where you need to answer one or two and then they will connect you with the human being and all. And that was like very, very frustrating experience. Then after GPT3 and the new Claude models, and now if I talk about like 2026, like because of instability of models, now you see like the empathy of models, the way it's generating the results is way better than before two years. So now even if you talk to a boat, you will not feel like that. And then with this context graph and there are all the rationals behind giving a support to the customer is going to be even better. So right now you may need a human being to put all that data to make sure like you are feeding the right context to the LLM to provide the right support to your audience. That's where human being will come into picture. And maybe AI will replace the job of like giving a straight answer, like the random answers to the users. And also that is the transformation which is happening, happening now that still that customer success job is there. But now they are not answering to the customer. They are giving more and more context to the LLM so they can give answer at scale. Your customer no need to wait for 24 hours to get your basic answer. So that's how it's going to be transformed.

[Podcast Host]

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[Scott Clary]

Now if you're hiring, Indeed is all you need. Let me give you an example. If I needed to hire a new editor for this show, I'd go to Indeed and be super specific, not just can you edit audio. I'd say I need someone who's edited a conversational podcast for at least three years, gets our style and knows our software, someone who's done this before. And here's the thing with Indeed sponsored jobs, I'd get people who fit that description. I'm not digging through resumes from people who've edited one YouTube video. I'm getting actual podcast editors who know what they're doing. People who've worked on shows like ours and can prove it. That's what makes a difference. You get people who actually are what you're looking for. According to INDEED data, sponsored jobs posted directly on indeed are 90% more likely to report a higher than non sponsored job sponsored jobs and people are finding quality hires right now. In the minute that I've been speaking to you. Companies like yours have made 27 hires on Indeed according to Indeed Data worldwide. Spend more time interviewing candidates who check all the boxes. Less stress, less time and more results. Now with Indeed Sponsored Jobs and listeners of this show will get a $75 sponsored job credit to help you get your job the premium status it deserves. @inn Indeed.com Clary just go to Indeed.com Clary right now and support our show by saying you heard about Indeed on this podcast. Indeed.com Clary terms and conditions apply. Hiring do it the right way with Indeed. HubSpot is a success story. Partner now if you're looking for a new podcast, one of my favorite shows right now is Demand Decoded. If you're in the B2B marketing space, you need to be listening to this. It's hosted by the team at Blend. They are a demand gen agency. They know what they're doing. They're also part of the HubSpot Podcast Network. What I love about it is they skip all the theory and they just tell you what's actually working today. So demand gen marketing, content, LinkedIn, ads, attribution, they talk about real strategies that they are using that you can use today that are working. So if you're an entrepreneur, if you're building a business, if you're really selling anything to anyone, go search Demand Decoded wherever you get your podcast.

[Podcast Host]

So for that, for that employee that, that is tuned into this, they're listening because they're stressed out about their job. They have to do something, they have to learn something, they have to upskill, they have to future proof themselves. What is your recommendation? Because and what I'm getting to after you talk to all these enterprises, yeah, you don't know what everybody's doing, but you start to see how they treat AI and how they integrate it with their employees. And just from like personal experience, if you were going to talk to somebody who's stressed out about losing their job, what advice would you give them? Like what things should they learn, what things should they research just so that that they will have something in the next five or 10 years because of

[Vishal Verrani]

like the kind of resources available on the Internet. You just need to have a will and you don't need to be a fearful of losing your job. What you can simply do if I'm, I'm using any in if I'm working in any customer success department you can simply search on Internet or on YouTube. Now what is the how I can use generative AI as a customer success guy? Or you can just do a basic chat with the cloud or a chatgpt like okay, can you tell me how I can improve my work using the generative AI and how I can add value in my day to day work and you can just contextualize like okay, I'm working in this organization. My position is this we are adopt, we are using generative at this extent. But what can be my next six month or nine month plan and what should I rate? Can you do a deep web search for me and suggest me the resources and ultimately you will found those resources and that's why I use the word will. There is enough material available in the Internet on the Internet but it's like okay, are you willing to change yourself or not? So definitely after working hours you may need to invest your two to three hours of time in all learning all this thing and don't think like okay, your organization will push you for this, be ready for that. So when your organization is adopting AI or if they are introducing any new things, you are ready for that. That like okay, I knew this thing and I I want, I will take a lead on that particular part. That's how you can empower yourself. You can be a future, you can just make yourself future proof like okay, whenever there is new things coming, you are already aware about that. You know the prompting part, you know the contextual graph part, you know everything which is required in your job when when it will be like generative a plus human. So ultimately you need to understand how where the human intelligence is going to be most critical thing and do you have that intelligence or not? And if not just try to adapt it. So understand there will in all the role there is a need of a human intelligence along with the generative AI. So you need to be ready for that and that's how you can learn it. So when I say it's a human intelligence, what to put in the prompt is still a human intelligence. What to serve in the context is still a human intelligence. So there are like multiple aspects. Just build a will. Just put your context on Internet like on ChatGPT or on Simple YouTube. Explain your entire use case and Try to figure out all the resources which can help you to get there and then just build a pattern. Like every day after my work, I will spend one hour, two hours, or maybe over a weekend, Saturday, I will like fully focus for eight hours to add up this and just make yourself future proof. Not when your organization is pushing for that particular part. You can be ahead than your organization in terms of knowledge.

[Podcast Host]

Listen, I think that this is something that we're talking about this in the context of AI, but this is just something that you'd have to do regardless. I think that I can't remember if we spoke about this the first time, but I think a lot of people realized after Covid that their jobs weren't as safe as they thought they were.

[Vishal Verrani]

Yeah, true.

[Podcast Host]

And it's a harsh reality. But, but whether or not, you know, whether or not most people are not going to be in the same company for the next 30 years, it's not most probably how most companies operate. It's not how most people's career goes. And given the fact that you're going to be doing multiple jobs over your career, I think future proofing and upskilling is an incredibly important mental model to adopt.

[Vishal Verrani]

See, before COVID you can live in your comfort zone and you can have a very fixed goal. Like, okay, I want to live life like a very linear graph. Now it's not that time, like okay, you cannot be in your comfort zone because one day you have very good up, then the down, up and down. And for that you need to make sure like, okay, you are a future proof. If there is a downtime, I can recover back and I can go to my uptime. So now there is no linear graph of your career. It's going to up and down and you just need to be ready for that.

[Podcast Host]

That you touched on this at the beginning, but I just wanted to go a little bit deeper about redefining roles through the lens of AI. So explain to me what you see the future of a role being. You're talking about AI enhancing, but go a little bit deeper. So for a project manager for somebody who's working in finance, like how are roles redefined with AI?

[Vishal Verrani]

So even like earlier I talk about one example where you required like product manager, then the front end developer, then the designer and all the folks in your team to just build a mvp. Now a product manager can do a competitive research, can build a prd, can build a prototype and can build even the front end and the backend code as well. So now that one product manager guy is a full stack guy. And now full stack is not just in front and back end capabilities. Full stack means a product management plus designing plus coding capabilities. Now that one role is enough to doing this entire stack. So that's how the Now I will not even call a product manager. It's a product developer kind of enroll for for the for that organization. So that's how it is going to be redefined. Now you are not just in customer support guy that with the AI because you understand the customer support, you can also may understand the customer success as well. So customer success, customer support and account manager role can be clubbed into one. Now earlier the time was like okay, you have account manager and then you have a team, one who can support and one who can just make sure like one what success looks like. And you always try to plug in more and more folks to provide a very good experience to that account where you are the account manager. Now account manager can do all this thing because things are contextualized. Okay, that person whom you are managing as a customer, as account manager, like okay, if he's facing any kind of an issue, you can just put a prompt like okay, this is the result. Okay, you can also do this thing thing to make sure you are getting the desired success in your company. So that's how this entire role will be club into one. Now you are not the account manager, you are a full stack customer success manager kind of thing. So I just give like couple of examples. But you can imagine at your own like whatever work you are doing, whatever like surrounding you are having what are like two through three roles that can be clubbed into one because of this one part.

[Podcast Host]

Everything you're describing, especially that product manager example where they can do the coding, they can do the front end. It kind of just sounds like what an entrepreneur does. They figure out everything. And I feel like the future of a job fits a more classical definition of entrepreneur. Because you are full stack. You figure it out end to end. Because now you have the ability to do that.

[Vishal Verrani]

Absolutely. So then there is only one thing

[Podcast Host]

like how is it entrepreneur I guess

[Vishal Verrani]

would be the entrepreneur is like how visionary you are are how hard decisions you can make and what kind of a risk you can take otherwise like okay, because of an AI, everything is going to be available at your fingertip. You don't need to worry about like okay, I'm sitting in some remote city of like world and I'm not having the enough resources to do my startup. You have all the resources available in form of a generative AI, it's like, okay, how visionary you are, how good you can execute, how good you you are making decisions. And as I said, the hard decision and the soft decision, that's it. That's what you're required for the entrepreneurship.

[Podcast Host]

If people are listening and you just want them to walk away with the main ideas, the things that are going to impact them, the things that you want them to take away from this conversation, what would that be?

[Vishal Verrani]

If I summarize entire conversations that we are having in simple three sentences. The first one is like AI just graduate from demos to dollar and the science fair is over. The business will really begin now and we are having thousands of users who can prove that things. The second part is we are not building the code generators. What we are building is a business launcher. A big difference between that is like code generator give you files versus business launcher give you the revenue and we choose the revenue. And the third, and the last part is like the future belongs to builders, not just encoders. 500 million business required a platform and we are having 35 million coders, which does not not work unless we turn everyone into a builder. And that's what we are doing right now.

[Podcast Host]

So for people listening, can you just simply summarize what Vibe Solution means?

[Vishal Verrani]

If I simply summarize what Vibe Solution stands for in terms of androcket, we have a definition of every letter. So S stands for understand the complete situation. O defines the real objective. L defines link all the pieces of context. U makes it usable from day one. T means tracks results that matter. I mean like iterate based on the real data. O means deliver outcome, not output and means like make it natural to use. And this is like fundamental philosophy of building the Vibe solution platform for the world.

[Podcast Host]

The last thing I want to just chat about because now I know you as a founder and as a friend and the way that you think about building, I think, think I think it's a little bit unique. I think that we spoke about sustainability, we spoke about, you know, putting customers, investors, stakeholders first. We spoke about not just shipping demos, other things that I know you do. As a founder, you, you adopt like a first principles approach to thinking. I know we covered that and spoke about that a little bit last time, but I think it's very, it's a very important idea for me at least because I think this, that I subscribe to that too. So for entrepreneurs, founders that are listening, obviously they're super interested in AI, but you as a founder have been successful because of the way that you think not just because of the products that you built. So what does first principles thinking, what does that philosophy mean and why has that helped you so much?

[Vishal Verrani]

So it's just helped me to think thoroughly in a very transparent way. So we are living in the world of noise where 80% of like whatever information that you received is just a noise for you, but because of FOMO or some other factors, we just carried away with like whatever we are doing in life because of something else happened in the market. So this is a time when we need to think thoroughly through entire idea and like what is good for you, what is bad for you and all. And without first principle, if you just get biased with someone else, you will not able to do it. And that's why that's like most important thing that you need to have it in life life to just stay focused, to stay true to be yourself and what is important for you and discovering the right answer to the problem that you are having in your startup. And that's why it's like most important thing nowadays because we are living in a very different world.

[Podcast Host]

Do you feel like first principles thinking allows you to spot inefficiencies that other people don't?

[Vishal Verrani]

So first principle is not about that but it's, it's just help you think in deep and figuring out the solutions from grounds up. So ultimately you divide everything into a smaller part and then you're trying to answer each and every questions. Like you get into depth of like five why. And then you really get to know like okay, this is really important for me or not or the way I'm defining the solution, is it the right or not? Or can it be something else? And that's how it help you. So ultimately will it increase the efficiency of like doing the work work? Definitely it will help you to make less mistakes than in general.

[Podcast Host]

And where do you feel like most founders go wrong in terms of how they think, how they tackle problems? Like where do you see the opportunity for people to maybe think differently when it comes to building?

[Vishal Verrani]

So just believe in your philosophy of doing the business. And another part is understand your strength very well. Well because like when you see someone else doing, doing the same thing and you, you, you felt like okay, I'm not doing it right. And without figuring out your strength and, and your philosophy and the mental model, if you directly start adopting those things because someone else is doing, you will, you will go very wrong. Like for an example, we know, I know my strength and all and I know the kind of incapabilities that I'm having. I may not able to build the frontier model very easily because that's not my strength is. But if I say like, okay, open egg growing very quickly and anthropic is growing very quickly, I should jump into that. That is the most horrible decision that I can make.

[Podcast Host]

A lot of people probably feel that way and they do that.

[Vishal Verrani]

Yeah. So ultimately here I took a very broad example, but generally even we get carried away with a founder who is just sitting beside us and doing a good job, but because he has some understanding and strength on which he is building. So you need to understand your strength very, very clearly and make decisions based on that.

[Podcast Host]

And how did you discover your strength? Like, was it just through trial and error?

[Vishal Verrani]

I think I would say yes. It's a 12, 13 years of journey of building startups. And in the beginning I'm the same who were getting into FOMO and jumping here and there with like new things. But after 12 years you get that maturity. So I'm just talking, saying out of my way, nothing else.

[Podcast Host]

I know that when you first started, you just spent hours prompting AI just to understand it. I think that most founders that are successful, they are truly obsessed with what they're doing. Speak to me about just a little bit about your experience with obsession and sort of the ability to just immerse yourself in something and not leading to potential success.

[Vishal Verrani]

So see, you need to set your goal very clearly. And I clearly differentiate dreams and goal very like, it's not the same thing. So ultimately, when you decide your goal, like where you want to move based on like maybe your organizational goal, your personal goal or anything, and then you need to be very serious. So once you define the goal, you need to say like, okay, what skills you need to acquire, how you will achieve your goal, what are the key things to achieve that? And based on that, you need to start put your 100% focus and then you need to say no to everything. And as a founder, that's, that's the one of the biggest thing, like how many things you can say no, because every day you will receive something, you will receive the new opportunity. But does that opportunity align to your goal? Or can you deprioritize that opportunity or do you want to change your goal? So ultimately you need to say no to everything you need to be. You need to put yourself in a very high focus mode to achieve that particular goal. And that's what is required right now. Because every day there is a new technology, every day there is a new update in the AI. But okay, if you jump here and there for everything. You will not able to achieve anything at all. So as a founder, once you decide something, be serious about that and just put yourself in a very high focus mode. And unless and until you, you achieve that particular thing, how do you do that?

[Podcast Host]

When there's so when, when your industry is moving so fast and there is so much information coming at you. And ironically this is actually what we were speaking about with what Rocket would solve for. But before Rocket exists, you're building, you're building it. So you have to deal with the fallacies of, of being a human. As a founder, how do you prioritize and deprioritize?

[Vishal Verrani]

So as I said like is it aligned to my goal or not? Or and many times like I just sit with my team, okay, this is our organizational goal and even if I'm moving away from it and if I'm introducing any new things, any fancy and sexy things to do, you need to say no and you need to remind me my goal. Like Vishal, this is not aligned to our goal. Unless and until you want to change your goal post, then we'll think about it. Otherwise. Okay, okay, we listen to you. This is good. Put it in our backlog. Whenever we are ready for the next thing, we will adapt it. But till that just focus on things we are having in hand instead of just like go here and there about like new stuff.

[Podcast Host]

One thing you said last time, which I thought was really I think was an important idea is you said focus on principles, not methods.

[Vishal Verrani]

Yes.

[Podcast Host]

Can you explain what that means?

[Vishal Verrani]

So that simply means is like up. Now let's understand how LLM functions and there are a way of. There are like multiple methods you can use LLM. So there are like best practices of writing the prompt, using the context, build the agentic system and all, all those were methods. But unless and until you understand the principles of working with a foundational model, you will not able to get the desired success that you want because that method can have a restriction and you cannot just build any startup based on the capabilities of that method which is derived by someone else. What I truly believe is like okay, once you understand the fundamentals of any technology and the principles of any technology, you can found your own method. So when someone said in my team like okay, this is not possible with this prompting technique which anthropic is defined as a best practices, I said why should we follow even the best practices of anthropic? There is a LLM, there is understanding of it. We need to get into depth of that and we need to build our own methods. So like we have a. We identify our own methods and everything to work with the LLM. So this is a very simple example of it. But everywhere like okay, either you consume the product which is best, which is developed on the basis of like of principles of let's say chemistry. So you directly either consuming the product and you say like okay, this product cannot solve my problem. And you just ended up with you just giving up. Like okay, this medicine is not solving my problem. But if you truly understand the chemistry and if you are getting in this principle and if you are inventing your own medicine, that maybe work for you. So that is the, that is the. When you understand the principles and the fundamentals of chemistry, you can build your own method and the medicine, medicine, you just not rely on someone else. So that's how in whatever field, like, like you just need to figure out like what you can adapt very quickly and for what things you are expert of. And that is your biggest strength that I'm talking about. Like you can capitalize on, on your strength. You can get into fundamentals and the principles and always try to define your own methods which can be key to your success. And that can be a very big like a moat for you as a founder.

[Podcast Host]

What has surprised you most about AI in the past few months?

[Vishal Verrani]

The way, the speed of it. So like initially we were thinking it will take some time to get into that quality and all that empathetic nature of LLM and everything. So the speed, the way it's evolving every month, that is like very, very surprising for us because, because handling a quality and improvement at scale is very big. Like now you think like multi million users and a multi billion dollars of ARR that anthropic and OpenAI is having. And still they are like moving very fast, which we never seen in past. And that is like most amazing thing.

[Podcast Host]

And what do you think people? What is the biggest misconception about AI? What are people getting wrong about AI?

[Vishal Verrani]

As I said, it will replace the people. It will not replace. It will reform the roles and it will empower the folks.

[Podcast Host]

Now Rocket is live so people can use it. So if people want to connect with you, if people want to play around with it, where do they go?

[Vishal Verrani]

So definitely you can simply search Rocket New and you will find the platform on website, you can simply do a login and you can start using. And if you really want to share your concerns or anything, you can reach out to me on LinkedIn and X. I'm always available, you can send me a message. Definitely I cannot give you answer immediately but definitely I will read your message.

[Podcast Host]

You are not AI.

[Vishal Verrani]

I'm not AI. And generally like after, after sign up you will always receive a mail from our side and I read all the replies to be honest. So like thousands of user like send a mail to me and I revert them back. So ultimately when you sign up you will receive mail from my personal ID and if you want to talk to me like I will be available for you.

[Podcast Host]

So and for someone listen, there's, there's a few different people that listen to this podcast. Some of them are going to be very comfortable and jumping into it. Some of them are entrepreneurs that are not technical. For somebody who is listening to this and understands the importance but doesn't know where to start, what's the first step they take when they go to Rocket? What do you suggest they do just so they don't get overwhelmed?

[Vishal Verrani]

Yeah, so it's like Rocket is very easy to use in terms of like even if you're a non technical person, but still if you need any support. The best part is like we have a really, really good customer success and support team. So ultimately if you write it to us like okay, if you are very serious about using the Rocket platform, you can simply reach out to us over our support email. It's available on our website as well. Like okay, I want to understand and this is my core purpose of using your system. Our team will help you, will share the materials with you.

[Podcast Host]

We do a little bit of a white glove.

[Vishal Verrani]

Yes, yes. And we also help you to, we help our customers to onboard like okay, we give them a training, we help them with their use case wherever they start product. So we have like complete team for that where we have so that I even in the beginning I mentioned like we always make sure like okay, are we able to create impact in our users life? So if they're very serious and if they're, they're running a business, we will understand the use case and we'll help them like okay, how you can use Rocket in an efficient way.