Theme Juice – Desktop app for local WordPress development (beta)

Hacker News

This is a follow up to an earlier post of mine on Reddit (which was also posted on HN), https://www.reddit.com/r/webdev/comments/4kumnu/im_in_the_middle_of_developing_a_desktop. We officially launched our closed beta for Theme Juice this week! Our plan is to launch the full product within the next week or 2, depending on how the beta goes. https://www.themejuice.it/ Theme Juice is a desktop application built on top of tj, a command line utility I have been developing for the past 3 years that aims to make WordPress development much more enjoyable and as close to a Rails workflow as possible. http://cli.themejuice.it/ It leverages huge open source projects like Vagrant for local environments, Chef for provisioning our virtual machine, Capistrano for deployment, WP-CLI and more. Currently our beta pool is relatively small, so I wanted to post here and see if anybody was interested in becoming a beta tester if we end up needing additional users. If you're interested, please register at https://www.themejuice.it/register and I will send out additional invites as we need them! I would appreciate any feedback you have and would love to know if you've used (or even heard of) tj before!

Visit product View on Hacker NewsAug 9, 2016

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, user, apis · Missing: agents, macos, agent

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% 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: users · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% 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

17%17% 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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