Valuemetrix – AI-Powered Investment Insights

Hacker News

Hey everyone! I'm thrilled to introduce Valuemetrix, our new platform designed to redefine how individuals and retail investors approach investment research. My technical co-founder and I have built a comprehensive investment research platform that empowers you with the data and insights needed to make smarter financial decisions. Valuemetrix provides real-time and historical stock data, financial news, and comprehensive fundamental data like income statements and balance sheets. One of our standout features is an LLM-powered chatbot that serves as your personal investment assistant. Whether you're new to investing or a seasoned pro, our AI assistant helps you interpret complex data, uncover hidden insights, and guide you through your research, ensuring you never miss a critical detail. We’re passionate about democratizing financial analysis, making it accessible to everyone, regardless of their background. Plus, you don’t need to log in to check company data—just dive right in! A huge thank you to our early supporters and advisors for helping us reach this milestone. We’re just at the beginning, and we’re eager to hear your feedback, answer any questions, and continue building something truly special. Join the conversation and share your thoughts—we’d love to hear what you think! Feel free to adjust any part of the message to better match your style or specific details about Valuemetrix!

Visit product View on Hacker NewsOct 11, 2024

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AppSumoStrong fit for a featured deal · Strong signals: plus, platform · Missing: intuitive, reviews, host

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

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

35%35% 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

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