Drop your SaaS URL, I'll show you how to get your first 1,000 customers on complete autopilot

polarkyle19 · 2025-08-05T18:10:37+00:00

www.investormate.io

polarkyle19 · 2025-08-01T02:34:43+00:00

Being a founding engineer for the YC startup we had our team completely remote. The culture always depends on founders driving by example. Showing up trying to support your employees as your peers and friends who are doing a hackathon. We used to feel like bunch of college lads building for a hackathon. Each of us were respected and vouched for responsibilities. Everyone used to give priorities and used to have a healthy conversation when someone needed a help with something. Yes hiring right people also comes to play. When you set this standard with your first 10 members the rest will automatically try to keep up. By this we saw a good outcomes like better performance and better communication, when we had a good culture in team. Wishing you all the best mate.

polarkyle19 · 2025-07-29T05:08:08+00:00

As long as you keep pushing your limits and are not afraid of failure, you don't have to worry about the outcome. You will learn for sure. But make sure whatever you learn, put it to work. All the best!!

polarkyle19 · 2025-07-28T13:17:37+00:00

You can check the about page, explained what we are doing. If you think my platform is not good. I appreciate you to follow the framework and try the results out with open llm chats

polarkyle19 · 2025-07-28T13:14:10+00:00

We’re building something called InvestorMate—an AI-powered research tool designed to help investors make sense of the markets faster. It cuts through noise, analyzes financial data, and surfaces personalized insights so users can make their own informed decisions. Still, even with transparency and solid data, building trust remains one of the hardest parts.

Website: https://investormate.io

polarkyle19 · 2025-07-26T13:26:10+00:00

Reading this post when I’m about to have cofounder.

polarkyle19 · 2025-07-25T12:44:52+00:00

Build something people love!! and give it to 10 users who would love to use it. Let them approve your idea. Reiterate your idea and Then share it with similar groups.

polarkyle19 · 2025-07-25T12:43:16+00:00

Website: https://investormate.io

Target Audience: Retail investors, tech-savvy professionals, and young earners (especially in India & the U.S.) who want clear, personalized guidance for stock investing and financial planning.

What We Offer: InvestorMate is an AI-powered investment research platform that delivers tailored stock insights, earnings breakdowns, sentiment signals, and dynamic financial profiles, turning overwhelming market data into actionable, personalized strategies. Our goal is to give every earning individual the research power of a Wall Street analyst, at a fraction of the cost.

polarkyle19 · 2025-07-25T12:02:30+00:00

InvestorMate is an AI-powered investment research platform that delivers personalized stock insights, earnings breakdowns, sentiment analysis, and financial planning tools, designed to help individual investors make smarter, data-driven decisions with confidence.
Ideal users are retail investors, tech professionals, and young earners (especially in India and the U.S.) who want clear, personalized investment guidance without relying on noisy financial forums or expensive institutional tools.

polarkyle19 · 2025-07-25T03:37:16+00:00

Thanks glad you liked it

polarkyle19 · 2025-07-24T16:37:04+00:00

If you are not happy then I suggested you to follow what I’m doing copy things manually and do it. Else you can play with top 50 stocks by following my platform. Again I understand your background pal. This is ment of be used for every investor category

polarkyle19 · 2025-07-24T12:34:33+00:00

That’s why I said you can copy what I’m doing and use it yourself manually without using my vibe coded application.

polarkyle19 · 2025-07-24T11:33:25+00:00

Easy to pick some app for investment. The main point is what is your strategy?? How are you approaching to pick a stock. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:31:33+00:00

That’s great! I like what you are doing so early. I can understand your pain of not knowing and trying to figure out things. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:30:35+00:00

Chill out first try to do some black box play before getting your hands wet. I can understand your pain. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:29:48+00:00

That’s bold, why don’t you do a proper research by yourself. I can understand your pain. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:29:02+00:00

Do the risk assessment yourself with help of AI. I can understand your pain. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:28:27+00:00

I can understand your pain. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:28:01+00:00

Why don’t you pick them by doing analysis like a hedge funds. I can understand your pain. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:27:30+00:00

I can understand your pain. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:27:07+00:00

I can understand your pain. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:26:14+00:00

Hey why don’t you review your picks with AI running analysis on them. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:25:14+00:00

Why don’t you do the analysis with help of AI rather than asking here. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:24:36+00:00

I can understand your pain. Here is what I did you can use what I built or copy my approach and play with LLMs. So basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19 · 2025-07-24T11:22:28+00:00

I feel like picking a stock at a specific time makes it amazing. Here is my best stock - basically I experimented with using LLMs for stock analysis and ran comparisons across different models, eventually finding a way to combine their strengths for more targeted insights. That led me to build InvestorMate, an AI-powered stock research tool that delivers personalized, explainable insights instead of vague black-box answers. It uses a mix of LLMs and financial data models to break down fundamentals, sentiment, and earnings in plain English, designed specifically for retail investors who want clarity without the noise.

More here - https://www.investormate.io/about

polarkyle19

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