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.
Driven
Hi Product Hunt,
I’m Zania from Driven. Excited to finally share what we’ve been building.
Driven started as a tool we wanted for ourselves.
We invest too, and our team has spent years building products around investor communities. One thing kept coming up again and again:
Investors are not short on information. They are overwhelmed by it.
There is more market data, filings, earnings content, news, X signals, portfolio data, and analysis than ever before. But most of the real work still falls on the investor: gathering context, checking what changed, comparing signals, and figuring out what actually matters.
We did not want to build another dashboard or another chatbot with market data attached.
So we built Driven: an AI investment agent that helps investors move from insight to action.
A few things that make Driven different:
• Real-time data and 260+ APIs
• Built-in and custom Skills
• Playbooks for repeatable investment processes
• Scheduled tasks and 24/7 monitoring
• Portfolio context in one workspace
• Order workflows
• Investor control at every step
What we care about most is not just better AI answers.
It is whether an agent can keep following the companies, portfolios, filings, earnings, and market signals you care about, then bring you back when something actually matters... And that is just one part of what Driven can do.
That is why Driven feels less like a search box and more like an AI investment team.
We are still early, and we’d really love to hear how the PH community thinks about AI agents in investing.
Where would you trust an AI investment agent first:
finding ideas, monitoring signals, following earnings, tracking portfolios, or preparing actions?
Driven
@zaniaz We are proud to deliver the products we use and love to more investors, and it is continuously growing, helping more users achieve gains in their investments.
the "24/7 monitoring plus order execution" combo is the part I'd want to understand before trusting it, not the research side. an agent that's wrong about a stock thesis costs you an afternoon of reading, an agent that's wrong and also has order placement wired up costs you an actual trade at 3am while you're asleep. what's the failsafe between "agent decides to act" and "order actually goes out," is there a human confirm step by default or does that only kick in above some size threshold
Driven
when you set up tasks to run automatically, by default Driven will ask for your confirmation before executing them. But that's obviously not very automated. So users need to establish some rules for automatically executing trades, and Driven will make a comprehensive judgment based on those rules and its understanding of the user to decide whether to execute the trade. or not.
Imagine putting your money in the hands of your personal financial advisor
Driven
@galdayan You observed really carefully. That's a great question, thanks
Driven
@galdayan @galdayan Totally fair concern. This is exactly where the trust boundary should be.
By default, Driven asks for confirmation before an order is executed. The agent can monitor, analyze, and prepare possible actions, but it should not simply place a trade at 3am while you are asleep.
If a user wants more automation, they need to set clear rules first: what is allowed, under what conditions, within what limits, and when confirmation is still required.
So the goal is not a black-box trading bot. It is more like an agent that can monitor continuously and act only within agreed safeguards.
The 24/7 monitoring piece is what sold me. I've missed too many overnight moves manually. If it actually flags them in time, that's worth a lot.
Driven
@madison_marley That’s exactly the use case we care a lot about.
Markets do not wait for us to be online, and missing overnight moves is painful. We want Driven to keep watching the things that matter to you and bring you back when something actually needs attention.
That’s where agents can really help: taking over more of the constant watching and follow-up, so investors can save their attention for the decisions that matter.
Would love for you to try it and tell us what alerts would be most useful for your workflow.
Driven
@madison_marley Yes, it can. AI agents are very good at this. Thank you for your trust.
How customizable are the Playbooks? Can users create their own workflows based in different investing style?
Driven
@samra_habib1 Of course. This is one of the standout features of the product Driven. When you first start chatting with Driven, it doesn't rush to give you advice.
Instead, it first gets to know your investment style and preferences. Through the interaction, it gradually builds up an understanding of you, and then can provide tailored investment recommendations.
It truly acts like an investment advisor who knows you well.
Driven
@samra_habib1 Definitely!! That’s exactly the idea.
Playbooks can be customized around different investing styles, but users don’t need to start with a perfect workflow. Even a rough idea or one sentence can become a more useful Playbook through chatting, adjusting, and learning what the user cares about.
So it’s also beginner-friendly: you can build your investing process as you go.
Your tagline says "trusted", which is a big word for investing. What is the output actually grounded in — filings and market data pulled at query time, or the model's own training?
And does it show its sources, so I can check a call before acting on it?
Driven
@hammad_shams_uddin Really good question!! and yes, “trusted” is a big word in investing. That’s partly why we chose it.
For us, it does not mean “just trust the model.” Driven uses frontier models like @Claude Code , @ChatGPT by OpenAI , @Gemini , and others, but for data-dependent investment questions, answers are grounded in live or structured data sources rather than relying only on model training.
That includes filings, market data, fundamentals, news, analyst data, ownership and insider activity. When an answer depends on external data, we show sources and supporting context so users can check the call before acting.
Also, different investors also research differently. Some focus on filings and fundamentals, while others care more about market sentiment and community signals. For sentiment-driven analysis, Driven also lets users open the original source, such as the X profile or post, so they can inspect the context, replies, and interactions directly instead of relying only on a summary.
That is what “trusted” means to us: grounded, checkable, and built around how investors actually verify ideas.
Thank you, Hammad!
Driven
@hammad_shams_uddin The model is certainly important, but truly achieving "trusted" requires reliable and real-time financial data sources integrated into our products, as well as our self-developed Harness tailored for investment scenarios, and unique product design that ensures every research data point and conclusion is traceable. Here's a case 👇
What I find most compelling about it isn't any single feature, it's the attempt to unify the entire workflow, from idea generation to actual execution, inside one agent instead of five disconnected tools. I've personally lost good opportunities simply because I was too slow moving between research, analysis and my brokerage app. If this genuinely shortens that gap while still keeping me in the decision seat, it solves a real problem I deal with regularly. I'd want to start small and build up trust gradually.
Driven
@billy_boy I think you are a true investor, and you've articulated the pain points in investment research. Driven is designed for users like you. Thank you for your trust.
Driven
@billy_boy You put it really well.
What you pointed out is the part we care about most: not just making each step better, but making the handoff between steps feel natural.
A lot of tools can do one piece well. The harder part is keeping the context alive, triggering the right next step, and helping the user move forward without starting from zero again.
That is the gap we’re trying to close with Driven, while still keeping the investor in the decision seat.
And I really agree with your point about starting small and building trust gradually. That is exactly how we think this category should work.
I've tried juggling five tools for research and execution. If it actually closes that gap, I'm interested.
Driven
@ayesha_mughal1 That’s exactly the gap we’re trying to close.
The data is already out there: filings, market data, news, insider activity, sentiment, portfolios, and more. But keeping up with all of it, connecting the dots, and turning it into your own investment decisions or actions takes a lot of time.
That gap between “I found the information” and “I know what to do with it” is where we think an investment agent can help, especially for investors working without a team behind them.
Driven is built to bring research, monitoring, analysis, portfolio context, and action closer together, so investors do not have to keep juggling separate tools.
Would love for you to try it and share any feedback. We’re iterating quickly and really want to make the experience better for real investors.
Driven
@ayesha_mughal1 Won't let you down 😄