Quickly build SaaS apps with MVPaaS

Hacker News

MVPaaS (mvpaas.com) provides the common elements that all SaaS apps require: A customizable landing page (with plan and feature sections), secure credit card and subscription handling, and user authentication. When a user signs in they will be redirected to your backend(with a token) where you can provide the core functionality of your SaaS offering. I've setup a starter Rails App that you can use to build the core of your SaaS app. I've also setup a deploy to Heroku button so you can get up and running right away. MVPaaS and this starter app makes it really easy to turn your side project into a complete SaaS business. I'm also offering monthly development retainers targeted at non-technical entrepreneurs. Thanks!

Visit product View on Hacker NewsJan 25, 2017

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

93%93% 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: apps, user · Missing: mac, agents, macos

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

45%45% 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

42%42% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

20%20% 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.

Incorrect prediction on native model

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