Generate, launch, and compare short-form AI UGC ad creatives from existing product assets.
Added Jun 17, 2026
Last signal 6h ago
D2C brands and small businesses need a steady flow of short-form video ads for Meta, TikTok, Instagram Reels, and YouTube Shorts, but traditional creative production is slow and expensive. Many already have acquisition channels running, but creative volume and angle testing are bottlenecks. They want to see whether a hook, product demo, or UGC-style angle works before paying for a full creative batch.
Build a web app where a marketer uploads product pages, existing videos, images, reviews, and brand notes, then generates a small set of UGC-style video ad variants with different hooks and scripts. The first product surface should include asset intake, script/hook generation, AI video assembly, approval/download, and basic creative performance tracking. The app can initially export ready-to-upload videos, then later integrate directly with Meta Ads, TikTok Ads, and Shopify order attribution.
AI video tools have made short-form ad production cheaper and faster, but buyers still need a workflow tied to real ad testing outcomes. The repeated offer of free samples suggests suppliers are actively probing demand and that brands are curious but need proof of performance.
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93% score confidenceShowing 1-8 of 8 signals
Solo founder and Founders team We're live on Product Hunt today, so I'll be straight about what this is and what it isn't. No traction numbers to brag about yet - we're early access and that's the honest state of it. The insight the whole product sits on I've run paid social for a while, and every time an account plateaued my first instinct was to blame targeting. It was almost never targeting. It was that we ran the same three creatives for six weeks, because a new UGC batch costs one to two thousand dollars and takes two weeks to come back. So you ration. You pick the three safest angles, run them until they fatigue, then scramble. Creative isn't a production problem. It's a search problem. You're not trying to make one great ad you're trying to find which promise your market responds to. That's a search across fifteen angles, and you can't search a space of fifteen with a budget for three. What it does You paste a product URL. It fetches the product page, extracts the product details and brand tone from the site itself, writes the hooks and ad copy, generates fifteen image and video creatives UGC-style reels, statics, comparisons, routine embeds — and pushes them to Meta ready to publish.About thirty seconds. No brief, no editor, no shoot. The demo video is a real run, not a mockup: a forty-two dollar vitamin C serum from a skincare brand, URL to fifteen publish-ready creatives in under a minute. The build lesson that cost me months V1 asked for brand colors, product photos, a creative brief, and format selection. Six steps. Almost nobody finished. I assumed positioning was broken and rewrote the landing page twice. Then I actually watched people use it. Everyone died at the same step - the brief. Obvious in hindsight: writing a creative brief is the exact job they came to outsource. I'd built a tool that made you do the hard part before it did the easy part...
If you dropship, you already know creative is the whole game. The product barely matters if the ad does not stop the scroll. The problem is that real UGC is a nightmare for us specifically. You do not hold inventory, so shipping product to a creator means ordering a sample, waiting two weeks, then paying per video and hoping the angle even works. By the time you have footage the product might already be dead. So I worked out how to produce UGC style ads with AI instead, and it fixed the speed problem completely for us. One honest warning: A finished ad runs through about seven tools, and the quality is in how you chain them, not in any single model. Here is the actual flow. I start by having an LLM describe the product from photos. You can pull these straight from the supplier listing. Colors, packaging, label, finish, all in one paragraph. This becomes the reference I feed into every later step so the product stays consistent instead of the AI making up a different version each time. Then I pick a proven angle. Problem to solution, testimonial, before and after, or a quick story. Nothing clever, just what already converts in your niche. Next a tight script. Forty to eighty words, structured as hook, problem, reveal, proof, call to action. I read it out loud and cut anything I stumble on. I break the script into scenes and make the timing add up. If the voiceover is thirty seconds, the scenes total thirty seconds. This is where most AI ads fall apart, so it matters. For the creator I generate a still image of the person first, then animate it with an image to video model. Feeding the video tool a starting frame gives you way more control than a text prompt on its own. The step that changed everything for me was voice. I clone one clean voice, then generate the whole voiceover in it. That way the talking scenes and the b-roll narration sound like the same person...
Own the production of UA creative at volume – turning raw capture into testable ad variants optimized for performance across Meta, TikTok, YouTube and other paid channels. Build AI-assisted creative tools (e.g. Scenario, Higgsfield) into your everyday workflow, feeding clean capture into AI generation and iteration to scale output and explore concepts faster.
Drive the production of ad creatives and ad copy at scale using generative AI, building repeatable pipelines that turn product and market inputs into high-volume, on-brand static and video assets. Run structured creative testing and feed winning insights back into the generation process.
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