Subly

AppSumo

Subly has received positive feedback for its intuitive and clean interface, making it easy to track subscriptions and recurring payments. Users have found the ability to categorize and organize expenses, along with the helpful reminders, to be beneficial. However, there have been occasional reports of bugs and limited customer support. With an overall rating of 4.6 and a 60-day money-back guarantee, Subly is worth considering for efficient subscription management.

Visit product View on AppSumoMar 9, 2026

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Actual performance

75reviews

Made the leaderboard

Traction signals

Rating4.7 / 5

Purchases1,946

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: intuitive, occasional, interface · Missing: plus, platform, reviews

84%84% 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

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

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

45%45% 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

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: recurring, subscription · Missing: arr, mrr, revenue

31%31% predicted probability of success on Acquire.com, 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

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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