A WordPress plugin that detects affiliate links that don't convert

Hacker News

Hi HN, I’ve been running affiliate sites for a while and kept running into the same problem: I could track clicks, but I had no clear way to tell which affiliate links were actually useful and which ones were wasting traffic. Most WordPress affiliate plugins focus on link management or cloaking. This plugin looks at what happens after the click, using short-return bounces to identify links that send users to poor or misleading destinations. It works with any affiliate program and runs locally on WordPress, keeping things lightweight and privacy-friendly. This is a first stable release and I’m mainly looking for feedback from people who run content or affiliate sites. Happy to answer questions.

Visit product View on Hacker NewsJan 29, 2026

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, using · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly, users · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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