Lapse

AppSumo

Customers appreciate Lapse for its intuitive interface, adjustable settings, and the hassle-free recording process. While some users mentioned the lack of certain basic features and installation challenges, the overall sentiment is positive. With a 3.7 rating and a 60-day money-back guarantee, it's worth giving Lapse a try for those in need of a reliable timelapse screen recorder.

Visit product View on AppSumoSep 9, 2021

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Actual performance

17reviews

Did not reach leaderboard

Traction signals

Rating3.8 / 5

Purchases652

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: intuitive, interface, users · 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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

60%60% 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

45%45% 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

41%41% 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

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

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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