Cromojo formerly URL Monitor

AppSumo

Customers appreciate Cromojo formerly URL Monitor for its efficient site indexing, seamless setup, and time-saving automation. Some users reported issues with new feature access and occasional bugs.

Customers appreciate Cromojo formerly URL Monitor for its efficient site indexing, seamless setup, and time-saving automation. Some users reported issues with new feature access and occasional bugs. With a 3.7 overall rating from 63 reviews, Cromojo formerly URL Monitor is a solid buy, especially with the 60-day money-back guarantee. Give it a try and experience the benefits for yourself!

Visit product View on AppSumoDec 26, 2024

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Actual performance

64reviews

Made the leaderboard

Traction signals

Rating3.7 / 5

Purchases363

Launch Intel predictions

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

83%83% 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

71%71% 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, new · Missing: mac, agents, macos

61%61% 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

33%33% 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

29%29% 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 · Missing: web3, chat, crypto

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

Correct prediction on native model

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