TestFast – A Tool to Test Your Business Ideas

Hacker News

Hey HN, I just launched TestFast, a SaaS tool designed to help startups validate their business ideas quickly and efficiently. Why is this important? 43% of startups fail because they lack product-market fit – they create something nobody wants to pay for. With TestFast, you can: - Generate a landing page for any new business idea by answering a few simple questions. - Include a newsletter subscription option to gauge interest. - Send subscribers a questionnaire with a 30% discount offer (if the product goes live) to better understand your audience. - Track the number of visitors, subscriber counts, and questionnaire responses to measure interest. Get real insights and validate your ideas before you invest time and resources in product development. Check it out: www.testfa.st P.S.: The site speed is horrible, thank you for your patience! - It's still an MVP. Would love to hear your feedback!

Visit product View on Hacker NewsMay 23, 2024

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

85%85% 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: new · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% 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

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, subscription, subscribers · 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

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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