Launching today

Driven

Launching today

The trusted AI investment agent, from insight to action

289 followers

The trusted AI investment agent, from insight to action

289 followers

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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.

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Launch tags:Productivity•Fintech•Artificial Intelligence

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Zeabur

Congrats on the launch! As a founder, I’m not an active investor myself, but I know quite a few investors and often hear how much time they spend piecing together market data, news, filings, and portfolio context. I like that Driven is trying to turn all of that into a clear workflow, rather than just another place to ask questions. Excited to share this with a few investors I know.

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5h ago

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Forum Threads

p/driven-ai

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14h 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:

p/driven-ai

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4d 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.

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