CouchDB Web Apps for Business

Hacker News

Hi, I'm Bill Stephenson. I've been working on a collection of web apps for small and medium size businesses that includes contact management, invoicing and payment tracking, expense tracking, income reports, and more. There's a demo available now at https://cherrypc.com/app These apps use CouchDB 2.0 and PouchDB to handle data functions, and mostly JQuery and Bootstrap for the UI. I use a few other well documented open source libraries of code as well. I've tried to design the app structure so any web app developer can make changes without having to learn much and those wanting to learn have solid resources to refer to. Everything I've used is open source and can be installed on a Raspberry Pi, and I've made a disk image so you don't have to do that. The Raspberry Pi can be used as a stand alone desktop PC or connected to your LAN for use throughout your office, and/or connected to a VPN service like Dynamic DNS to provide internet access to the apps. My goal is to provide businesses with a solid set of software tools to get started with and a big headstart on creating software specifically for their business, and to have complete ownership and control of their software and data. If you have time, please take a look at it, and it would be great to hear any feedback you might have. Up to this point it's just been me working on this. If anyone is interested in using the software and/or partnering with me to help move this project forward please contact me at bill@cherrypc.com.

Visit product View on Hacker NewsAug 4, 2017

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

96%96% 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, using, code · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% 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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