WP Simple Author Box

WP Simple Author Box

AppSumo

Customers appreciate WP Simple Author Box for its easy customization, seamless integration for multiple and guest writers, and its ability to enhance the website's design with numerous options. Some users find the abundance of options a bit overwhelming, and a few have expressed a desire for additio

Customers appreciate WP Simple Author Box for its easy customization, seamless integration for multiple and guest writers, and its ability to enhance the website's design with numerous options. Some users find the abundance of options a bit overwhelming, and a few have expressed a desire for additional features like individual author page creation. Despite these minor drawbacks, the overwhelmingly positive feedback and high ratings make WP Simple Author Box a solid buy for those looking to elevate their WordPress site. With a 4.7 overall rating and a 60-day money-back guarantee, it's definitely worth giving it a try.

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Actual performance

12reviews
Did not reach leaderboard

Traction signals

Rating4.7 / 5
Purchases1,056

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% 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.
AppSumoStrong fit for a featured deal · Strong signals: overall rating, users · 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
42%42% 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: io · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, 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
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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