Human Presence

Human Presence

AppSumo

Human Presence has been praised by customers for its effective spam-blocking capabilities, straightforward installation, and seamless integration with WordPress. However, some users have reported issues with compatibility and support responsiveness.

Human Presence has been praised by customers for its effective spam-blocking capabilities, straightforward installation, and seamless integration with WordPress. However, some users have reported issues with compatibility and support responsiveness. With an overall rating of 4.2 and positive feedback, it's worth giving Human Presence a try, especially with the 60-day money-back guarantee.

Share card

Actual performance

15reviews
Did not reach leaderboard

Traction signals

Rating4.3 / 5
Purchases529

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: overall rating, users · Missing: plus, platform, intuitive
73%73% 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
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, 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
37%37% 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
19%19% 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
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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