What are the key takeaways from this This Week in Startups episode?

Key insights include: **AI Video Production Cost:** Magnific charges approximately $0.10 per second of generated video, but accounting for multiple iterations to achieve the desired output, founders should budget roughly $1 per finished second. A launch video that previously cost $50,000–$150,000 from a production company now costs a fraction of that figure.; **Storyboard-to-Video Workflow:** Start with text prompts to generate character and scene images, arrange them as storyboards, then convert sequences into video clips. Reference images pulled from the web can supplement prompts when text descriptions lack precision. One non-designer can complete a full cinematic short in a single 24-hour session.; **Model Stack Strategy:** Rather than building every model in-house, Magnific combines proprietary tools — its upscaler and skin enhancer — with best-in-class third-party models from Google and others. Founders building AI creative tools should prioritize integrating state-of-the-art external models rather than reinventing foundational infrastructure from scratch.

What did Joaquín Cuenca Abela discuss on This Week in Startups?

Joaquin Cuenca Abela, CEO of Magnific (formerly Freepik), demonstrates how a single non-creative person can produce a cinematic AI video ad in 24 hours using text prompts, storyboards, and layered media references — covering production costs, model architecture, Hollywood adoption, and the future of hyper-targeted dynamic video advertising. Key topics include: **AI Video Production Cost:** Magnific charges approximately $0.10 per second of generated video, but accounting for multiple iterations to achieve the desired output, founders should budget roughly $1 per finished second. A launch video that previously cost $50,000–$150,000 from a production company now costs a fraction of that figure.; **Storyboard-to-Video Workflow:** Start with text prompts to generate character and scene images, arrange them as storyboards, then convert sequences into video clips. Reference images pulled from the web can supplement prompts when text descriptions lack precision. One non-designer can complete a full cinematic short in a single 24-hour session..

How long is this episode of This Week in Startups?

This episode is 22 minutes long. SignalCast provides an AI-generated summary so you can get the key insights in about 3 minutes.

This Week in Startups

Mastering AI Video Marketing w/ Magnific CEO Joaquín Cuenca Abela | AI Basics

April 30, 2026

22 min episode · 2 min read

Joaquín Cuenca Abela

Episode

22 min

Read time

2 min

Topics

Startups, Leadership, Design & UX

AI-Generated Summary

Published May 1, 2026

Key Takeaways

✓AI Video Production Cost: Magnific charges approximately $0.10 per second of generated video, but accounting for multiple iterations to achieve the desired output, founders should budget roughly $1 per finished second. A launch video that previously cost $50,000–$150,000 from a production company now costs a fraction of that figure.
✓Storyboard-to-Video Workflow: Start with text prompts to generate character and scene images, arrange them as storyboards, then convert sequences into video clips. Reference images pulled from the web can supplement prompts when text descriptions lack precision. One non-designer can complete a full cinematic short in a single 24-hour session.
✓Model Stack Strategy: Rather than building every model in-house, Magnific combines proprietary tools — its upscaler and skin enhancer — with best-in-class third-party models from Google and others. Founders building AI creative tools should prioritize integrating state-of-the-art external models rather than reinventing foundational infrastructure from scratch.
✓Hollywood Adoption Pattern: Major studios, including the production behind House of David, now use Freepik/Magnific in production workflows. AI reduces film budgets enough to greenlight previously cost-prohibitive projects — one director cited employing 600 people on a film that would have been rejected entirely without AI-driven cost reduction.
✓Hyper-Targeted Video Localization: Static ad localization across 50 languages and regional visual swaps (food, landmarks) already works reliably at scale. Full video localization — 100 city-specific versions of one ad — remains unreliable due to compounding error rates across generation steps, requiring validation layers before production deployment.

What It Covers

Joaquin Cuenca Abela, CEO of Magnific (formerly Freepik), demonstrates how a single non-creative person can produce a cinematic AI video ad in 24 hours using text prompts, storyboards, and layered media references — covering production costs, model architecture, Hollywood adoption, and the future of hyper-targeted dynamic video advertising.

Key Questions Answered

•AI Video Production Cost: Magnific charges approximately $0.10 per second of generated video, but accounting for multiple iterations to achieve the desired output, founders should budget roughly $1 per finished second. A launch video that previously cost $50,000–$150,000 from a production company now costs a fraction of that figure.
•Storyboard-to-Video Workflow: Start with text prompts to generate character and scene images, arrange them as storyboards, then convert sequences into video clips. Reference images pulled from the web can supplement prompts when text descriptions lack precision. One non-designer can complete a full cinematic short in a single 24-hour session.
•Model Stack Strategy: Rather than building every model in-house, Magnific combines proprietary tools — its upscaler and skin enhancer — with best-in-class third-party models from Google and others. Founders building AI creative tools should prioritize integrating state-of-the-art external models rather than reinventing foundational infrastructure from scratch.
•Hollywood Adoption Pattern: Major studios, including the production behind House of David, now use Freepik/Magnific in production workflows. AI reduces film budgets enough to greenlight previously cost-prohibitive projects — one director cited employing 600 people on a film that would have been rejected entirely without AI-driven cost reduction.
•Hyper-Targeted Video Localization: Static ad localization across 50 languages and regional visual swaps (food, landmarks) already works reliably at scale. Full video localization — 100 city-specific versions of one ad — remains unreliable due to compounding error rates across generation steps, requiring validation layers before production deployment.

Notable Moment

Cuenca Abela described a Hollywood director whose film project had been rejected for years due to budget constraints. Once AI tools reduced production costs sufficiently, the project received a green light and ultimately employed 600 people — directly contradicting the narrative that AI eliminates film industry jobs.

Know someone who'd find this useful?

Episode Transcript

Hey, everybody. Welcome back to our basics series. I get asked all the time as an angel investor, as somebody who helps grow companies, what should I do in terms of, customer motion and and finding my ideal customer profile? I get asked, hey. How should I do my cap table, legal issues, finance issues? How should I do my revenue, recognition? And increasingly, the last two years, how should I use AI to make my startup grow faster, produce better quality products, better, cheaper, faster? You know, that's always the mantra. And you can see all of these great episodes at this week in startups.com/basics. We started doing AI basics to help people understand the core things this technology is allowing you to do. And the challenge is this technology is moving faster and faster faster than anything we've ever seen. It's easy when we're doing legal because that changes every five, ten years. Finance, hey. That changes also. Like, hey. Every couple of years, you might get something out of the IRS to tweak. My lord. When it comes to AI, it is changing month to month, and we've got a great guest today to help us with creative. And, of course, this AI basics series is brought to you in partnership with my friends over at Google Cloud. Google Cloud really cares about founders. They're constantly giving credits and tools, and this very series to help you as a founder figure it out and just figure out how to scale your company and increase your chances of success. You can check out Google's brand new future of AI perspectives on generative media for start ups report. You can access that at goo.gle/futureofgenmedia, all one word, no spaces, no dashes. And we'll put that in the show notes in the YouTube description today. We are lucky to have Joaquin Cuenca Abela. He is the cofounder and CEO of Manifique. Manifique, I think, would be the non French way to say it, formerly known as FreePik. They're based in Spain. I understand. 5,000,000,000 all time downloads, over a 150,000,000 monthly users for a reason. We're gonna talk today about how to use his creative tools, hey, to go help founders be more creative, but then turn their marketing into video, which is a big part of what you're doing, Joaquin. Yes? Yes, Jason. Thank you for having me. We are gonna talk about how a marketing a modern marketing department can do more with AI. Many people are focused on how they can do the same things that we're doing before, the cheaper and faster. We're gonna talk about the void. When you do things faster, what can you do that is new? And marketing is one of those spaces that has data. It's got creative, and then there's a whole bunch of best practices and alchemy between these two. Yeah. You have the on one side, you you've got this great science of marketing. And then on the …

Get the full transcript (4,007 words) + summary by email — free

One-time email with the complete transcript and AI summary of this episode. No account needed.

One email, no spam. We’ll also show you what SignalCast does.

Browse all This Week in Startups transcripts →