Labrika

AppSumo

Labrika is appreciated for its comprehensive SEO audit capabilities, user-friendly interface, and valuable technical insights. Some users have encountered minor issues with data integration and interface modernization. With an overall rating of 4.7 and 157 reviews, Labrika is a solid buy for those seeking to boost their website's SEO. With a 30-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoAug 9, 2024

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Actual performance

157reviews

Made the leaderboard

Traction signals

Rating4.8 / 5

Purchases1,545

Launch Intel predictions

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

88%88% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released

25%25% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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