CVViZ

AppSumo

CVViZ is appreciated for its comprehensive features, seamless job posting to multiple platforms, and efficient candidate tracking. Some users have encountered minor challenges with Gmail integration and mobile-friendliness. Overall, the feedback is positive. With a 4.4 rating and a 60-day money-back guarantee, it's worth giving CVViZ a try for those seeking to streamline their hiring process and improve the quality of their hires.

Visit product View on AppSumoJul 22, 2024

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Actual performance

54reviews

Made the leaderboard

Launch Intel predictions

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

68%68% 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

67%67% 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

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, 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.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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