Launch Intel
DarkLup - WordPress Dark Mode Plugin

DarkLup - WordPress Dark Mode Plugin

AppSumo

DarkLup - WordPress Dark Mode Plugin has received positive feedback for its flexibility in customization, WooCommerce integration, and user-friendly setup. However, some users have noted the lack of mobile-specific settings and occasional delays in support responses.

DarkLup - WordPress Dark Mode Plugin has received positive feedback for its flexibility in customization, WooCommerce integration, and user-friendly setup. However, some users have noted the lack of mobile-specific settings and occasional delays in support responses. With an overall rating of 4.6, DarkLup is a solid option for those seeking a stunning dark version for their WordPress website. Additionally, with a 60-day money-back guarantee, it's worth considering for those interested in trying it out.

Visit productView on AppSumoAug 2, 2021
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Actual performance

13reviews
Did not reach leaderboard

Traction signals

Rating4.7 / 5
Purchases574

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: friendly, occasional, overall rating · Missing: plus, platform, intuitive
61%61% predicted probability of success on AppSumo, 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
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, 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
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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