Affiliate programs to monetize your content or next project

Hacker News

Hi, everyone! I am delighted to launch useaffiliates.com into the wild! I always wanted to build something in public and chose a project idea that I believe fits with my mantra of "provide value." If you are a creator, hopefully, you'll find exciting monetization opportunities via one of the affiliate programs in my database. It doesn't matter if you are a big or small content creator. Many affiliate programs listed in the database are already happy if you can provide them with one new customer. And if you have an affiliate program, consider posting your program to useaffiliates.com to get your product featured in more blogs, videos, or podcasts. Don't underestimate how many new customers you can gain who are currently reading a blog by an author with only 100 subscribers. Especially if you have a niche product or service, getting your affiliate marketing in front of creators willing to share your product is invaluable! If you want to read the entire journey of building this project, please check out the whole series here; https://dev.to/twankrui/building-a-business-from-scratch-in-... Hopefully, I can inspire one of you also to start building in building and provide value to new and seasoned creators!

Visit product View on Hacker NewsApr 13, 2022

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

92%92% 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: new · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% 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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