Acadle

Acadle

AppSumo

Acadle has received high praise from customers for its intuitive course builder, robust AI course creation, and customizable branding. While there are some limitations on gamification access and storage, these are minor issues in an otherwise comprehensive online academy platform.

Acadle has received high praise from customers for its intuitive course builder, robust AI course creation, and customizable branding. While there are some limitations on gamification access and storage, these are minor issues in an otherwise comprehensive online academy platform. With an overall rating of 4.8 and 280 reviews, Acadle is a solid choice, especially considering the 60-day money-back guarantee.

Share card

Actual performance

280reviews
Made the leaderboard

Traction signals

Rating4.8 / 5
Purchases297

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Strong signals: platform, intuitive, reviews · Missing: plus, host, exclusive
90%90% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% predicted probability of success on Indie Hackers, 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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