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Goose Ads Remixer

Remix the ads already winning in your niche

Marketing
Artificial Intelligence
GitHub
Video
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Hunted byGarry TanGarry Tan

The winning ads in your niche reveal what works: hooks, offers, copy structures, layouts. Goose learns those patterns and creates new ads for your brand with your real logo, product images, and messaging in minutes. First 10 ads free.

Top comment

Hey Product Hunt 👋

We're Shiv and Himanshu, makers of Goose Ads Remixer. Excited to launch it today!

What is Goose Ads Remixer? 🌟 ✨

Goose helps you create on-brand Meta ad creatives using patterns from ads already performing in your niche.

Paste your website, choose the ads you like, and Goose creates a complete batch using your real logo, product images, messaging, and brand style.

The problem we faced ⚠️

Creating Meta ad creatives was painful for us. Agencies were expensive, generic AI tools produced low-quality work, and doing it ourselves took far too much time.

Solution

We noticed something simple: ads already performing in your niche are public. They reveal which hooks, offers, copy structures, and layouts are working right now.

So we built Goose Ads Remixer.

Goose learns from these winning patterns and creates new ads for your brand using your real logo, product images, and messaging.

How Goose Ads Remixer works 🚀

  1. Create an account: make.gooseworks.ai

  2. Paste your website

  3. Choose up to 15 ads from your niche

  4. Generate a complete batch of on-brand creatives in minutes

Goose doesn’t copy the original ads. It learns from the principles behind what works and applies them to your brand.

Built for AI agents and humans 🛠️

You can create ads directly from the web app:

👉 make.gooseworks.ai

Or access Goose through your AI coding agent using our CLI:

npx gooseworks install --all

Special for Product Hunt 🔥🔥🔥

  1. Your first 10 ads are free.

  2. We’re also giving Product Hunt users 50% off our Starter and Pro plans. Use coupon code: "PH50"

We’d love your honest feedback, especially if you run Meta ads. Which niches, ad formats, or creative styles should we add next?

Comment highlights

Congrats on the launch. One thing I'm curious about, the Meta Ad Library shows you which ads are running and for how long, but not spend or performance. So how do you decide which ones are actually winning vs just live?

when Goose learns the pattern from a winning ad in my niche, where's the line between remixing the structure and just recreating that competitor's ad with my logo swapped in - is that boundary a manual review step or does the model handle it?

the nano banana / gpt-image-2 / opus checking-each-other's-work loop is the interesting bit - when the three disagree on whether an output passes the brand check, is there a tiebreaker or does it just regenerate until they converge?

I think if everybody is learning from the same winning ads then the meta feeds would really look similar over time.

the brand-drift question above is the UX risk, but there's a legal one underneath it too: "remixing patterns" is fine, but if the tool is looking at a specific competitor's ad to generate from, how do you make sure it's not echoing their actual copy phrasing rather than just the structure? a hook and a layout aren't protectable, but a distinctive line of ad copy can edge into IP territory if it comes out too close to verbatim

Just signed up for Goose Ads Remixer and tried it for my website ToolJunction. I’ve used a few AI ad creative tools before, but goose feels more polished and practical at this price point.

Starting with ads that are already working in your niche, instead of generating from a blank prompt, makes a noticeable difference. And, the outputs felt much closer to something I could actually run, and the overall experience was smooth.

The only issue I noticed was that it picked the wrong color palette for my website. Great work, team!

Most AI ad tools generate noise.

This actually helps teams iterate on what's already working. Thats a much stronger approach.

Congrats on the launch

Specifically to the presentation, I really like the UX of the geese. How do you make sure the new ads stay unique?

This is cool. I've used Claude and Remotion some for making little videos, more product explainers and ads. I think one of the valuable things here is that you have a library of ads that are already performing well in the user's niche. I definitely think, by default, AI is not good at copywriting, so having this verified high-quality content that steers the AI seems really useful.

Smart approach — remixing proven winners instead of generating from a blank prompt sidesteps a lot of the "AI slop" problem. Are you pulling structural/pacing patterns from the source ads, or more the visual style? Curious because that distinction has been a big design decision for us on the video-generation side too.

Congrats on the launch! I tested it out, very smooth! Does Goose learn from actual campaign performance over time, or is it mainly learning from the existing ad library? Feels like closing that feedback loop could become a huge advantage.

Congrats on the launch! The idea looks valuable — does it search for ads in a niche automatically? Basically in 1 prompt telling you the winning format

Starting from proven creatives instead of a blank prompt feels good! It basically rests on knowing which ads are actually winning right? And the Ad Library shows what's live without telling what converts? Interested how you are inferring performance in such case. Congrats on the launch!

Congrats on the launch! Cool concept. While scraping our site, it could only return #000000 as a primary color and I wonder if it's because our colors are OKLCH. Perhaps something to look into.

Congratulations on launch!
Goose can reduce the effort of running ads by a huge amount.

Can goose also make video ads?

Pulled up a few of my competitors' ads and the remixed versions came back looking like actual brand work, not generic AI slop. Saved me a solid afternoon of staring at a blank doc.

Honestly thought it would spit out generic copy but it pulled the hooks straight from the top ads in my niche and kept my logo looking right on the creatives. Wild how fast that part worked.

About Goose Ads Remixer on Product Hunt

Remix the ads already winning in your niche

Goose Ads Remixer launched on Product Hunt on July 14th, 2026 and earned 441 upvotes and 78 comments, earning #3 Product of the Day. The winning ads in your niche reveal what works: hooks, offers, copy structures, layouts. Goose learns those patterns and creates new ads for your brand with your real logo, product images, and messaging in minutes. First 10 ads free.

Goose Ads Remixer was featured in Marketing (465.9k followers), Artificial Intelligence (473.5k followers), GitHub (41.3k followers) and Video (1.9k followers) on Product Hunt. Together, these topics include over 212.4k products, making this a competitive space to launch in.

Who hunted Goose Ads Remixer?

Goose Ads Remixer was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Goose Ads Remixer stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.