Deftform

AppSumo

Deftform has received positive feedback from customers, who appreciate its intuitive interface, rapid feature development, and clean, modern design. While there are some minor hiccups such as the lack of conditional logic and multi-step forms, overall, Deftform is a solid choice for those seeking a simple and modern form builder. With an overall rating of 5.0 and a 60-day money-back guarantee, it's definitely worth giving it a try.

Visit product View on AppSumoJul 8, 2024

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Actual performance

99reviews

Made the leaderboard

Traction signals

Rating4.9 / 5

Purchases375

Launch Intel predictions

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

81%81% 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 · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

49%49% 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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% 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

25%25% 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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