Co-founder & CEO of VEED. Sharing stories on the Napkin Math podcast napkinmath.fm

London
Introducing the new VEED. Our product rebuilt from ground up. Finally, AI videos worth posting from one prompt. You enter an idea and VEED: - Creates the script - Gives viral templates + characters - Adds captions + music Free AI credits for first 300 comments.
Introducing VEED's new chapter. Next week...
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Sabba Keynejad retweeted
Replying to @fal
@fal genmedia conference was amazing! In a SF for a few more days, reach out!
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Opus 5.5 + Open Edit VS Human Edit Which one do you prefer? prompt below
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Link to Open Edit - github.com/veedstudio/open-e… Use Open Edit - Can you edit this video into a snappy, fast-paced social media video with silences and filler words removed, and add subtitles to the video in the style of the reference that I've given you. It needs to be a fun edit with subtitles, graphics and music
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GenMedia Conference by @fal was AMAZING! So many incredible people and learnt so much. Already looking forward to next year 🗓️
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Opus 5.5 + OpenEdit Prompt: "Cut a raw talking-head clip into a punchy, fun edit with subtitles, graphics and music” ~ 1h 51 min ~ token usage $23 ~ fal usage $49 What do you think?
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I had to ask... "Why are you bent over a box?"
weird this is the graphic that the partnerships team told me we were going with @Box 🤝 @Muse
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In SF for a week LMK if you wanna meet up!
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Generating a good video from code is not the problem. The problem is how you edit it natively. How you use use fonts, branding and build repeatable templates. And that’s why we built OpenEdit. github.com/veedstudio/open-e…
Opus 5.5 is incredible at instructional video generation. I made this launch video for a inference startup in 1min for ~$2. Videos like these used to take weeks if not months and a lot of coordination with agencies and 1000x the costs. Humans broadly prefer video to text. This changes the substrate of communication. These videos actually help communicate technical ideas in seconds (photorealistic video gen like Seedance is not very useful here). - changes how often marketing should be talking about products and launches - change how sales people can talk about technical products to their customers - allow technical people to easily explain concepts internally without long docs And thats just scratching the surface within startups. Prompt: “make a modern slick and punchy video for a modern startup that works on inference”
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New macro product marketing trend: Frontier model + My product = WOW! It’s smart because it does not take product or dev work to execute. The real undercurrent: Everyone company is now a marketing company.
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Why does this actually suit @sab8a 😆
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My income before my startup: Year 1: £35K Year 2: £55K My startup’s revenue after I started it: Year 1: $0 Year 2: $100K ARR Year 3: $1.5M ARR Today: 8-figure ARR Lesson? Always bet on yourself. And never quit.
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That looks a lot like me in the bottom right 👀
Come! And so proud to be speaker also for the event , with so many talented people !
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Reached the magic number... Application under review🤞
Almost there? 👀
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Okay, many people got this wrong... Correct answer: Left one. It also brought us: - 33% higher MRR - 17% higher ARPU - 3% higher conversion to paid PS. we kept the yearly price same while testing ofcourse.
One of these drove a 15% lift in trial conversion. Which one do you think did it? Left or right.
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Almost there? 👀
How do I get... 280,000 timeline impressions?
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It turns out posting 3x per day.. Gets you to the magic number
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Alright this blew up! Here are some more amazing ones: – Figma: Weekly active editors – Replit: Weekly active Repls – Instagram: Daily active amplifiers – DoorDash: Total completed weekly deliveries – Notion: Teams w. 3+ members using 2+ features – Cognition: AI-authored share of complex PRs merged (without human edits)
Great examples of North Star metrics: – Uber: Rides taken – Airbnb: Nights booked – Lovable: Daily active apps – Plaid: Bank accounts linked – Duolingo: Daily active users – ChatGPT: Retained active users – Loom: Videos created that get viewed – Cursor: Paid users coding 5 days/week – Gamma: Presentations created & shared
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The fastest-growing AI companies today are following the same playbook. I call it the M.A.G.I.C. framework: M – Model-native. Your product gets better every time the underlying model improves. Lovable gets better every time Anthropic releases a new model. A – Agentic and API-first. Built for agents and makes your products & features pluggable into other products. ElevenLabs is a great example. G – Generative by default. Make the UI super lazy. Look at the products winning right now: Claude, Lovable, Cursor. They are basically a chat box with simple UI. I – Instant time to value. Users experience the “aha moment” before any heavy setup. ChatGPT lets you get the experience before even creating an account. C – Compelling leverage. Small inputs create enormous outputs. One prompt in Lovable can turn into a working app in seconds. If you want massive growth, you can’t keep playing by the old rules.
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