Find the Best Growth Strategy for Your Startup in 3 Minutes

Hacker News

Hey HN community! I'm excited to share a simple tool I've built to help founders pick the best growth strategy based on their business and product characteristics. As someone with 10 years of experience in marketing across various startups and industries, I realized that one of the most common insecurities of founders is whether they're following the ideal strategy. My web app aims to address this by providing a personalized report on the main possible growth strategies, along with a score from 1-10 for each one. The report also includes reasons why you should or shouldn't prioritize certain strategies, taking into account your business, product, and development stage. To get started, simply complete a 3-minute survey about your main business aspects. After that, you'll receive your custom report with insights and recommendations tailored to your startup. Give it a try and let me know what you think! I'm more than happy to answer any questions and discuss the details of the web app with you. Your feedback is invaluable in helping me improve the tool and better serve founders in their growth journey. Looking forward to your thoughts and feedback!

Visit product View on Hacker NewsApr 17, 2023

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

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

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

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

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: growth · Missing: arr, mrr, revenue

23%23% 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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