I Made a Cost-Effective Typeform Alternative

Hacker News

Hi Everyone, I am excited to introduce [Formlick.com]( https://formlick.com ), a new alternative to Typeform that offers a cost-effective solution for creating dynamic and engaging forms. Recognizing the high costs associated with Typeform, several independent developers, including myself, have been working to provide a more affordable option. With the MVP now complete, I am pleased to announce that Formlick is ready for public launch. Formlick boasts several features designed to enhance user experience and functionality: - Multilingual Forms: Create forms in multiple languages to cater to a diverse audience. - AI-Generated Forms: Utilize AI to generate form content when you need inspiration. - Customizable Appearance: Modify the look and feel of your forms to align with your brand identity. - Partial Form Collection: Capture data as soon as users begin filling out the form, even if they do not complete it. - Logo Upload: Personalize your forms by uploading your logo. - Submission Notifications: Receive notifications for each form submission via webhook and email. - Submission Export: Easily export all form submissions for your records. Your feedback is invaluable as I continue to develop and improve Formlick. Please feel free to share your thoughts and suggestions. URL: https://formlick.com

Visit product View on Hacker NewsMay 20, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

94%94% 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, new, email · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: soon, users · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, ide · Missing: https docs, just released, exist

32%32% 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

10%10% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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