WordPress plugin for creating responsive emails using divi builder

Hacker News

Just released an open source WordPress plugin "Responsive Email using Divi Builder". It offers a UI email builder using Elegant Theme's Divi Builder. A detail write up is found here https://www.outsourceappz.com/responsive-email-using-divi-builder-a-wordpress-plugin/ It currently handles WordPress new user registration and forgot password emails out-of-box. Plugin can be found on the WordPress repository here - https://wordpress.org/plugins/responsive-email-using-divi-builder/ Was wondering if you can offer any constructive feedback Have a nice day. Regards J

Visit product View on Hacker NewsJul 18, 2016

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2points

Did not reach leaderboard

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

76%76% 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: user, new, email · Missing: mac, agents, macos

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

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

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

13%13% 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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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