Formly - Forms, Surveys & Quizzes

Formly - Forms, Surveys & Quizzes

AppSumo

'Customers appreciate Formly - Forms, Surveys & Quizzes for its intuitive interface, powerful features, and responsive customer support. They praise its ease of use, flexibility in creating complex forms and quizzes, and the quick and helpful support team.

'Customers appreciate Formly - Forms, Surveys & Quizzes for its intuitive interface, powerful features, and responsive customer support. They praise its ease of use, flexibility in creating complex forms and quizzes, and the quick and helpful support team. Some users have noted minor bugs and limitations in customization options, but overall, Formly is a reliable and powerful tool. With a 4.6 overall rating and 237 reviews, it's a solid buy for those in need of a high-converting forms, surveys, and quizzes tool. With a 60-day money-back guarantee, it's worth giving it a try.'

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Actual performance

237reviews
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Strong signals: intuitive, reviews, interface · Missing: plus, platform, host
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
86%86% 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
66%66% 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
33%33% 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
32%32% 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
17%17% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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