Linked Booster

AppSumo

Customers appreciate Linked Booster for its efficient automation, time-saving features, and user-friendly interface. Some users have reported minor issues with data retention and mobile accessibility. With an overall rating of 4.4, Linked Booster seems to be hitting the mark, making it a solid buy for those in need of enhancing 1st-connection management and CRM for LinkedIn. Priced at $98.00 and with a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoAug 27, 2021

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Actual performance

38reviews

Did not reach leaderboard

Traction signals

Rating4.4 / 5

Purchases401

Launch Intel predictions

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

87%87% 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

62%62% 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

29%29% 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

15%15% 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

12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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