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FormLite – Turn Your Plain Google Forms into Typeform Interface

Hacker News

FormLite – Turn Your Plain Google Forms into Typeform Interface

Hello HN, I’m the maker of FormLite, a tool that allows anyone to transform a basic Google Form into a stunning, interactive Typeform-like interface in just a few clicks. I’ve always appreciated the simplicity and power of Google Forms, but the lack of customization and polished UX was a common complaint I heard from users. This is especially important when collecting responses from users, leads, or clients where first impressions matter. With the rise of no-code tools, I wanted to create something that takes the familiar functionality of Google Forms and turns it into an elegant and modern experience without needing to rebuild the form from scratch. Here’s how it works: - Sign up at formlite.co - Add a public Google Form URL, (As of yet, it doesn't work on forms which require signing in). - FormLite instantly transforms the form, adding animations, smooth transitions, and an overall cleaner design, similar to what Typeform offers. From there, you can share the newly designed form link with your audience. FormLite preserves all the original features of Google Forms, while upgrading the look and feel to something more engaging. I’ve also added a demo form at the FormLite homepage, so you can see how the transformation works in action. Please feel free to try it out and let me know what you think. I’d love to hear your feedback or answer any questions about the tech behind it. Thanks for checking it out!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, user, new · Missing: mac, agents, macos
92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: interface, users · Missing: plus, platform, intuitive
62%62% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google, users, way · Missing: mobile apps, ios, personal
53%53% 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
47%47% 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 · Strong signals: active · Missing: arr, mrr, revenue
11%11% 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
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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