Desklog

AppSumo

Desklog is highly regarded for its robust time tracking capabilities, intuitive interface, and in-depth productivity analysis. While some users have reported occasional bugs and limited functionality in specific plans, the overall consensus is positive. With an impressive rating of 4.3, Desklog is a reliable choice for anyone seeking effective time tracking solutions. Additionally, the 60-day money-back guarantee makes it a risk-free option worth exploring.

Visit product View on AppSumoAug 5, 2024

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Actual performance

52reviews

Did not reach leaderboard

Traction signals

Rating4.4 / 5

Purchases1,355

Launch Intel predictions

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

75%75% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

45%45% 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

44%44% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: time tracking · Missing: web3, chat, crypto

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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Time Tracking, Productivity & Online Timesheets

Indie Hackersemployees-50-plus

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