This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
LinkAffix turns the product recommendations your AI already makes into affiliate revenue with one server-side API call, no cookies and no client-side code. Most affiliate tracking depends on browser JavaScript and third-party cookies that don't exist when your ‘page’ is a streaming LLM response. LinkAffix solves this with first-party, server-side attribution: send us your LLM's response text, get back the same text with tracked affiliate links woven into the real product mentions already in it.
I'm Ayush, builder of LinkAffix.
I built this because affiliate tracking is stuck in the past: third-party cookies and browser JS, neither of which exist when your "page" is an LLM streaming text server-side. AI products that recommend real products (shopping assistants, trip planners, gift finders) currently have zero way to earn commission on those recommendations.
LinkAffix is one API call: send your LLM's response text, get back the same text with tracked affiliate links woven in. No cookies, no client JS, first-party attribution.
It's live and free to try today (1,000 injections/month, no card). Today affiliate links are configured manually per campaign. Native Amazon/CJ/Rakuten import is next on the roadmap.
Would love feedback on: whether the attribution model make sense for how you're building, what affiliate networks should I prioritize integrating first, etc. Happy to answer anything.
Would love to see a confidence score returned with each rewritten link so I can flag or override any recommendation my model made that the API decided not to monetize, keeps editorial control in our hands.
A bulk endpoint or batch mode would be huge for high-volume apps. Right now I imagine each response text means a separate API call, which adds latency and costs when you're processing thousands of completions an hour. Letting us send an array of LLM responses in one request would make server-side integration way more practical for production workloads.
About LinkAffix on Product Hunt
“Turn AI recommendations into affiliate revenue”
LinkAffix was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #63 on the daily leaderboard. LinkAffix turns the product recommendations your AI already makes into affiliate revenue with one server-side API call, no cookies and no client-side code. Most affiliate tracking depends on browser JavaScript and third-party cookies that don't exist when your ‘page’ is a streaming LLM response. LinkAffix solves this with first-party, server-side attribution: send us your LLM's response text, get back the same text with tracked affiliate links woven into the real product mentions already in it.
LinkAffix was featured in API (98.4k followers), Marketing (466k followers) and Artificial Intelligence (473.8k followers) on Product Hunt. Together, these topics include over 194.9k products, making this a competitive space to launch in.
Who hunted LinkAffix?
LinkAffix was hunted by Ayush Sanghavi. 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.
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Ayush Sanghavi