Clickiny

Clickiny

AppSumo

Customers have praised Clickiny for its user-friendly interface, robust functionality, and responsive customer support. While some users have encountered minor issues with form design and auto-saving, Clickiny remains a dependable tool for capturing leads.

Customers have praised Clickiny for its user-friendly interface, robust functionality, and responsive customer support. While some users have encountered minor issues with form design and auto-saving, Clickiny remains a dependable tool for capturing leads. With a 3.8 rating and a 60-day money-back guarantee, it's definitely worth trying out.

Share card

Actual performance

5reviews
Did not reach leaderboard

Traction signals

Rating3.8 / 5
Purchases115

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: friendly, interface, users · Missing: plus, platform, intuitive
85%85% 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
60%60% 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
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
52%52% 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
21%21% 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
14%14% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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