Sticky Notes Pro - Quickest Note Taking For Your Browser

AppSumo

Customers appreciate Sticky Notes Pro for its efficient note-taking capabilities, seamless browser integration, and sleek UI. Users love the ability to organize notes in folders, the quick access without leaving the browser, and the reliable backup feature. Some users have pointed out minor drawbacks such as the limited number of folders and notes per folder, and the need for more frequent backup options. Despite these, Sticky Notes Pro stands out as a solid choice for quick and easy note-taking in the browser. With the overwhelming positive feedback, it's a must-have for those seeking a fast and reliable note-taking app. Thank you! :)

Visit product View on AppSumoAug 25, 2020

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Actual performance

18reviews

Did not reach leaderboard

Launch Intel predictions

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

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: efficient, users · Missing: plus, platform, intuitive

65%65% 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

65%65% 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: io · Missing: https docs, excited, just released

50%50% 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

38%38% 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

16%16% 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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