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SaaS Interviews with CEOs, Startups, Founders

Vidboard hits $20k in MRR in 2 months to help create videos from static images, text to video

11 Sep 2022

Transcription

Chapter 1: How did Vidboard achieve $20,000 in MRR within two months?

0.031 - 3.336 Nathan Latka

Okay, so there's 10 paying 2000 a month. That's 20 grand in MRR.

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4.242 - 5.552 Ashwin Madhavan

Yes, you can say that. Yes.

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8.114 - 20.994 Nathan Latka

You are listening to Conversations with Nathan Latka, where I sit down and interview the top SaaS founders, like Eric Wan from Zoom. If you'd like to subscribe, go to getlatka.com.

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21.014 - 43.787 Nathan Latka

We've published thousands of these interviews, and if you want to sort through them quickly by revenue or churn, CAC, valuation, or other metrics, the easiest way to do that is to go to getlatka.com and use our filtering tool. It's like a big Excel sheet for all of these podcast interviews. Check it out right now at getlatka.com. Hey folks, my guest today is Ashwin Madhavan.

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43.807 - 57.523 Nathan Latka

He's a lawyer by profession and serial entrepreneur in practice. Technology has always fascinated him outside the practice of law and his newest startup is a deep tech AI video platform called Vidboard. The platform converts text to videos featuring humans in minutes.

57.583 - 65.172 Nathan Latka

In short, his platform can convert a human photograph into a talking human without the need to go into any studio with just text as an input. Ashwin, you ready to take us to the top?

66.333 - 67.258 Ashwin Madhavan

Yep.

67.278 - 70.313 Nathan Latka

All right. So you help people create deep fakes, huh?

71.499 - 85.785 Ashwin Madhavan

Yeah, you can say that, but I would say that, um, Deepfakes is a kind of a negative word. So I would say we convert photographs into talking heads. That's how I see it. I mean, it means the same thing.

Chapter 2: What unique features does Vidboard offer for video creation?

175.45 - 176.732 Nathan Latka

Which one are you focused on?

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177.303 - 207.097 Ashwin Madhavan

At the moment, we are focused on gaining as much traction when it comes to B2B because eventually this product, we will be focusing on the B2B segment. To be honest, at the moment, we are looking at, we are on two boats. But once we see traction and once our product is fully ready, which should take about another six months, then we would be going all guns blazing in the B2B segment.

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207.117 - 209.821 Nathan Latka

So do you know customers then today on the B2B side?

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210.682 - 215.529 Ashwin Madhavan

There are about seven, about 10, I would say. There are 10 B2B customers.

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215.569 - 218.754 Nathan Latka

Okay. So there's 10 paying 2000 a month. That's 20 grand in MRR.

219.635 - 220.557 Ashwin Madhavan

Yes. You can say that.

220.597 - 226.954 Nathan Latka

Yes. That's great. That gets congratulations. Now, I imagine the B2C revenue is small, $1,000, $2,000 a month, something small.

227.154 - 229.057 Ashwin Madhavan

Yes, you can say that. Yeah, exactly.

229.077 - 234.185 Nathan Latka

How did you... Okay, so this is fascinating to me. So how did you get your initial customers? Was it all product hunt?

Chapter 3: How does Vidboard differentiate itself from deepfake technology?

249.224 - 260.119 Ashwin Madhavan

We harness those contacts to get us B2B clients. And when it comes to B2C, what we did was... Wait, hold on, hold on.

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260.139 - 266.868 Nathan Latka

On the B2B side, why are your old teaching friends good B2B customers? Teachers don't have a lot of money, right?

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267.689 - 283.981 Ashwin Madhavan

No, it's not about teachers. We are talking about edtech platforms. Edtech platforms and law firms... Say, for example, there is an online legal education platform called Angelion. They are our first users. I was earlier working with them full-time.

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284.001 - 285.745 Nathan Latka

And how will they use you today?

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286.282 - 307.892 Ashwin Madhavan

All right. So they have got online content in law. So unfortunately for them, they can't create videos at scale in different languages. And for that matter, in multiple videos of the content. So they use our platform to create video content by just entering the script that is there, the educational content, and out comes the video.

307.912 - 310.416 Nathan Latka

But who is visually in the video?

311.527 - 340.622 Nathan Latka

uh avatars and of course some of them are oh it's a cartoon not cartoon it's not human photo like i can make i can click your photograph and i can convert it into a talking avatar well my point is if i'm at a legal firm and my boss right the attorney sends me 10 training videos to watch and i start watching those and it's not him or it is his face but i don't hear his voice like if that's not going to work right so what is it you just make up a person and put it in the video

341.092 - 370.375 Ashwin Madhavan

No, it's not that. See, I'll be very straight here. It's not about whether the voice is actually there. What we have found from our customer base is they are not interested in whether we are able to clone the voice. They are more interested in whether we can replicate a person in a normal video presentation without him entering the video studio to create his own video.

370.636 - 373.461 Ashwin Madhavan

So what we have done here is... But it won't be in his voice, right?

Chapter 4: What are the pricing models for B2B and B2C clients?

635.075 - 642.92 Nathan Latka

So you're doing $20,000 a month right now in revenue. What were you doing a year ago? Nothing? Nothing. That's awesome. Okay. And bootstrapped it or have you raised capital?

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643.661 - 650.989 Ashwin Madhavan

Bootstrapped as of now, hopefully God willing by next year, May, June, we should be in a position to start talking to investors.

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651.01 - 652.091 Nathan Latka

Why do you want to raise money?

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653.352 - 680.653 Ashwin Madhavan

Um, see right now, uh, we want to do a lot of stuff when it comes to the product. And for that, we would require external capital and, um, And right now, since we would also want to hire good AI research scientists, because at the moment we are only, we are two of us. I'm not a research scientist. So my co-founder Tushar is. So based on...

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681.022 - 697.32 Ashwin Madhavan

His understanding of things, we would be requiring a lot of people in this domain. For that, we would require funds in order to hire good talent. So we'll be spending money on hiring good talent as well as on promotional activities.

697.34 - 698.942 Nathan Latka

And how much capital would you want to raise?

700.764 - 703.847 Ashwin Madhavan

At the moment, our basic estimate is about $650,000.

703.867 - 708.252 Nathan Latka

And what's your team size today? How many people?

708.512 - 710.134 Ashwin Madhavan

At the moment, we are seven of us.

Chapter 5: How did the guest acquire their initial customers?

846.009 - 847.012 Nathan Latka

Something you wish you knew.

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847.032 - 858.702 Ashwin Madhavan

You wish you knew in your 20s. I wish I knew in my 20s. I would say I wish I was a techie. I ended up becoming a lawyer. I wish I was a techie. I could have done a lot.

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858.968 - 876.394 Nathan Latka

Wish he was a techie. Well, he is now. Vidboard.ai launched, guys, a couple months ago. They're already doing $20,000 a month in revenue across 10 customers. Invite only over 1,500 on their waitlist. Successful launch on product time with 426 upvotes. It's an AI-powered platform that allows you to put up a picture and they'll basically make the mouth move and put up any text you want.

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876.414 - 885.889 Nathan Latka

It's really useful for translating the same audio into different languages or things of that nature when you're creating courses or training internally for your team. We'll see what happens next. Ashwin, thanks for taking us to the top.

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885.909 - 888.132 Ashwin Madhavan

Thank you so much. Thank you so much. Take care, Nathan.

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