Closely

AppSumo

Customers appreciate Closely for its seamless LinkedIn and email automation, B2B database integration, and user-friendly interface. Some users encountered minor issues with onboarding and email formatting, but the overall feedback is positive with a 4.2 rating from 253 reviews. With a 60-day money-back guarantee, it's worth giving Closely a try for efficient outreach, lead generation, and advanced CRM integrations.

Visit product View on AppSumoMar 30, 2026

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Actual performance

256reviews

Made the leaderboard

Traction signals

Rating4.2 / 5

Purchases559

Launch Intel predictions

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

92%92% 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, email · Missing: mac, agents, macos

74%74% 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

66%66% 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

39%39% 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

22%22% 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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