Launched this week
InvestBot

InvestBot

Investment research that explains decisions not just outputs

2 followers

Most investment tools focus on predictions and picks. This one doesn’t. InvestBot is an investment research engine that builds portfolios based on explicit risk constraints - and tracks how they evolve over time. No signals. No forecasts. No execution. Every allocation decision is explained, and every change is tied to shifts in risk, fundamentals, or market structure. Built for investors who want to think clearly, not react emotionally.
InvestBot gallery image
InvestBot gallery image
InvestBot gallery image
InvestBot gallery image
Free
Launch tags:AnalyticsInvestingFinance
Launch Team / Built With
Intercom
Intercom
Startups get 90% off Intercom + 1 year of Fin AI Agent free
Promoted

What do you think? …

Alexander
Maker
📌
Hey Product Hunt! I’m the maker of MyInvest Guide. I built this because most “AI investing” tools I tried felt either hype-driven or opaque. They gave confident answers, but rarely explained risk, trade-offs, or why something should (or shouldn’t) be in a portfolio. MyInvest Guide started as an internal research engine. Instead of predictions, I focused on disciplined inputs: prices, fundamentals, news signals, and risk filters. Over time it evolved into a multi-factor + ML system that ranks opportunities and clearly explains inclusion/exclusion decisions. The goal isn’t to beat the market with magic - it’s to help investors avoid bad risk and make calmer, better-informed decisions. Happy to answer questions and would love your feedback 🙌
Alexander

Hey PH 👋

 

I built InvestBot because I wanted a calmer, more structured way to understand markets - without turning investing into a full-time job.

 

Happy to answer questions and would love honest feedback from the community. Thanks for checking it out 🙌

Alexander

Quick update for those who were curious 👋

InvestBot has been live for two full days now.

We’re testing it on a virtual portfolio, using the stocks suggested by the system and following its structure and constraints.

I’m sharing two screenshot:

– Day 2

This is not a performance claim or a “look at the gains” post.

Two days mean nothing statistically.

What matters more to me at this stage is:

– the portfolio behaves in a controlled, understandable way

– drawdowns are explainable, not random

– every change has a clear reason behind it

That’s exactly what we’re validating right now: not prediction accuracy, but decision logic and consistency.

Still very early, still testing — but wanted to share transparently how we’re using the product ourselves.

Happy to answer questions or hear what you’d personally look at first when evaluating an investing tool like this.

Alexander

An interesting and relevant service for consumers

Alexander

One thing I didn’t expect while building InvestBot is how hard it is to remove features instead of adding them.

Especially when users ask for predictions or signals.

Curious if other founders here had to say "no" to popular requests to stay aligned with their core idea.