AI

AI Form Builder – AI form creation, conditional rules, translations

Hacker News

AI Form Builder – AI form creation, conditional rules, translations

I explored how AI could make building forms, quizzes, and surveys faster. Here's what I focused on: Easy Creation: We made it AI-friendly by understanding what users need most and adding those features to our platform, so you can create forms, quizzes, and surveys effortlessly. Simple Logic: Many users found traditional logic setups confusing, so we introduced an AI-driven solution that guides you through setting up rules easily. Efficient Translation: Translating content into multiple languages can be tedious. Our AI-powered translation feature ensures accurate and quick translations, making it simpler than ever. We're always improving our AI and looking for more ways to make it useful. Stay tuned for updates! P.S. To try these features, you'll need a paid plan. We don't offer a default free trial to prevent misuse, but you can request a trial through our website chat.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, using · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: users, way · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform, friendly, efficient · Missing: plus, intuitive, reviews
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, 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.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat, paid, introduce · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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