Show HN: A Unique User-in-the-Loop Agent for Investment Research

I am a first time founder working on Vector -- an agentic platform for investment research and analysis. Looking for feedback on the public beta that was launched, specifically around the unique philosophy behind this product. Which usually ends up either really gamechanging or just dumb -- I recognize this and hence feel the need to try and validate things as early as possible.

This product was born from personal needs and frustration with existing platforms and tools. I am a retail investor myself managing a significant personal portfolio. Even though I only rebalance quarterly, it takes significant time and effort to keep up with emerging risks to my portfolio and even more time to research and develop conviction around new ideas for diversification. Seeking Alpha is a chore to go through with too much generic content, inconsistent quality and noise. ChatGPT and Perplexity Finance lack a decent workflow (too chatbot centric). Deep research might seem great at first, but the lack of control and verbosity becomes a pain very quickly.

Vector is designed around two core theses that we believe differentiate it meaningfully from existing solutions

1) User-in-the-loop. We recognize that AI agents still limited in reasoning capabilities and require guidance for many complex tasks. Secondly, we also believe that investment research is an open ended and rather subjective task. Useful research processes(ones that help consumers achieve/overturn convictions)require the means to let the consumer change/challenge the methodology and also the assumptions made.

2) Embed agents into well tested workflow, not force a chatbot on users. Many AI/LLM powered products out there today are chatbot first for some reason. Some claim that this is because natural language is the most powerful HCI given the capabilities of LLMs today. It is true in some instances but false for many others. For the problem we are tackling, a chatbot is not a natural workflow for investors and creates a lot of friction. Classic concepts like watchlist, stock screeners and trending news are actually well tested and very sensible. They do have limits, but that is where embedding agentic capabilities adds value instead of serving as gimmicks.

We’re releasing this early, imperfect beta not because it’s finished, but because the core theses behind Vector deserve to be tested. We’d love your feedback — even (especially) the critical kind — to help shape what comes next.

Public beta (Free): https://vector.deepinsightlabs.ai Discord server: https://discord.gg/CKzKWaex Website: https://www.deepinsightlabs.ai

P.S I would remove the sign-up and login for easier access, but the watchlist functionalities require unique identity for users to work. Apologies for that.