Subscription billing dashboard. Thoughts?

Hacker News

I am currently working to release a subscription/recurring billing dashboard and customer management platform built with AngularJS, JQuery, and PHP/mySQL. Unlike existing solutions (i.e. Chargify/Sassy) this solution is self-hosted. I hope to fill the void where customers do not want a third party handling their data or to have to pay additional charges per transaction or monthly. This is more than an admin theme that you could buy on Themeforest or somewhere. It comes pre-built with Stripe integration (working to get other processors integrated as well) so all you have to do is install and go. No complicated setup or complex programming to deal with webhooks from processors. Anyway, I plan to release the first version next week and wanted to see what everyone's thoughts were. I have a landing page setup for more details. http://paypeek.com

Visit product View on Hacker NewsJan 30, 2014

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

68%68% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: stripe · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

25%25% 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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