I built a platform to help businesses grow paying customers

Hacker News

https://www.knowforwork.com/ I am looking for people that run businesses that want to try a new way to grow their paying customers. I built a referral marketing platform that uses vouchers to attract new paying customers. The idea is for each referral someone makes, they get a voucher and so does the person being referred. Let say your product is $100 and you give a $10 off voucher. If someone refers their friend to your product/service, both of them gets to buy your product/service for $90. You are earning less per person, but as a whole, you now have 1 more customer that can pay $180. I am targeting businesses that can sell their product/service as a package. We help manage your vouchers and we don't restrict you on how your customers purchase. It's entirely up to you how those vouchers are used. The platform is free to use. If you want to try it out, just fill out this form (https://www.knowforwork.com/list-company). You can also check out our app on iOS: https://apps.apple.com/us/app/know-for-work/id1576175034 Android: https://play.google.com/store/apps/details?id=com.knowforwork.app

Visit product View on Hacker NewsMay 16, 2022

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Did not reach leaderboard

Launch Intel predictions

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

89%89% 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: apple, google, apps · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% predicted probability of success on TrustMRR, 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

37%37% 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

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

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

28%28% predicted probability of success on AppSumo, 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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