Scrab.in

Scrab.in

AppSumo

Scrab.in is a solid buy for those seeking LinkedIn automation. Customers appreciate its seamless automation, effective lead generation, and responsive customer support.

Scrab.in is a solid buy for those seeking LinkedIn automation. Customers appreciate its seamless automation, effective lead generation, and responsive customer support. Some users faced issues with account restrictions and initial setup complexities. Priced at $59.00 with a 60-day money-back guarantee, it's worth giving it a try.

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Actual performance

22reviews
Did not reach leaderboard

Traction signals

Rating4.1 / 5
Purchases910

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive
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
64%64% predicted probability of success on Indie Hackers, 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
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
33%33% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
30%30% 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
28%28% 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
22%22% 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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