Shut up and take my money..or F-U, Pay Me

Hacker News

We recently launched an adblocking product which saves you data on your cellular and Wifi plans. As we were working on Datajoy, we also understood that for creative people, adblocking sucks big time. The more people block ads, the less ad revenue websites make. Well, we at Datajoy figured we would try to play fair by paying for content we currently view for free. We are calling it the "F-U, Pay Me" model (FUPM). You can set yourself up to receive payments from users of Datajoy with minimal effort (NO profile creation necessary!) by following the instructions on the FUPM page ( https://datajoy.us/fupm.html ). As our users visit your site, we will PayPal you for every visit at 1c/visit on the 1st of every month. Once you do that, it would be great if you could come back this post and let us know that you have set yourself up for FUPM. Thanks!

Visit product View on Hacker NewsSep 8, 2017

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Indie HackersFits the IH revenue-focused audience · 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: model, user · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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: users · Missing: plus, platform, intuitive

26%26% 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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