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2mo ago

Driven - The trusted AI investment agent, from insight to action

Driven is an AI investment agent that turns market insight into action, not just answers. In one agent-powered workspace, it combines 260+ APIs, built-in & custom Skills, Playbooks, scheduled tasks, 24/7 monitoring, real-time data, portfolios, and order workflows. Instead of switching tools or chasing every signal, investors can manage the full journey in Driven, from idea generation and data gathering to analysis and action. It’s your AI investment team, while you stay in control.

1mo ago

What Product Hunt Taught Us About AI Investing

Driven just finished its first Product Hunt launch, and one of the most valuable parts was reading the comments.

Not just the compliments, but the questions.

A few themes stood out:

1. Trust comes before automation

1mo ago

How Will AI Agents Change Our Investing Habits?

AI agents are already changing how we work. Hard to deny that now.

People are building new habits around digital companions and agents in funny ways.
I even know someone who had a brand-new phone ready, but still delayed switching because their little @OpenClaw lobster was living on the old one.
Many of us now use agents to summarize, draft, search, code, organize tasks, or monitor things in the background.

I think investing is next.

A lot of investing still depends on manual habits: checking prices, reading news, following filings, tracking earnings, reviewing portfolios, and trying not to miss important signals.

2mo ago

AI Agents × Investing: Where Does Trust Begin?

Not sure how many people in the PH community actively follow investing, US stocks, or the market.

But I think investing is an interesting test case for AI agents.

It is a high-trust domain. Not every task should be automated right away, and users should not give up control easily.

But there are also many places where agents can reduce a lot of manual work:

2mo ago

What makes a vertical AI harness actually useful?

A lot of AI products start from the same place: put a model into a domain, connect a few data sources, and let users ask questions.

We started from a similar direction last year. But as we learned more from building in this space, we saw a bigger opportunity: better answers are only the beginning.
The harder part is making AI useful inside real workflows.

In most vertical domains, the work is not one question and one answer. It is a process.

Healthcare, legal, finance, recruiting, sales, research, and engineering all have their own data sources, permissions, memory, tools, review steps, and user control needs.