Traxr

AppSumo

Traxr has been praised for its efficient backlink tracking and responsive support. However, there have been some reports of unfinished features and occasional bugs.

Traxr has been praised for its efficient backlink tracking and responsive support. However, there have been some reports of unfinished features and occasional bugs. Despite these minor issues, Traxr remains a solid option for those seeking backlink tracking on autopilot. With an overall rating of 4.2 and a 60-day money-back guarantee, it's worth considering.

Visit product View on AppSumoFeb 1, 2024

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Actual performance

7reviews

Did not reach leaderboard

Launch Intel predictions

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BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto

79%79% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

77%77% 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

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% 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: ide, io · Missing: https docs, excited, just released

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

35%35% 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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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