u/AceHeight

I’ve been testing a few apps from this sub and wanted to share mine too. I’d really value the same kind of blunt feedback.

I built Rippli because I kept running into the same problem while researching stocks.

When news hits a company, the obvious stock often moves first. But I usually want to know what else might be affected: suppliers, customers, competitors, partners, or adjacent companies.

So I built a lightweight tool to map those company relationships and explore possible ripple effects faster.

You can try it here: app.rippli.ai

I’m looking for blunt feedback:

• Is it clear what the tool does?
• Are the relationships useful?
• What feels confusing or missing?
• Would you use this in a real research workflow?

Would really value feedback from anyone who uses stock research tools, spreadsheets, or a manual investing process.

Hi all, I’m looking for a few honest testers for a tool I built called Rippli: dash.rippli.ai

The tool is for people who research stocks, market news, or company events and want to understand what else might be affected beyond the obvious first move.

The problem I kept running into was this:

A news event happens, a stock reacts, and then I still want to know the second layer. Which suppliers, customers, competitors, partners, or adjacent companies might also be affected? And how do I explore that without jumping across a bunch of tabs, filings, news articles, search results, and random notes?

So I built a lightweight tool to help with that. The idea is to make it easier to explore company relationships, follow possible ripple effects from news or events, and get to useful research paths faster.

It is free to try right now. I’m mainly looking for blunt feedback, especially curious on:

• Is it clear what the tool is supposed to do?
• Is the first experience confusing anywhere?
• Do the outputs feel useful, shallow, or incomplete?
• Would this fit into a real stock research workflow?
• What would make you trust it more?

If you already use or have used other tools (like Koyfin, TIKR, FinChat, Perplexity, Bloomberg, Seeking Alpha, or your own spreadsheet workflow) before, I’d especially love to hear what this is missing.

Thanks in advance to anyone willing to take a look. I’m happy to answer questions here too.

One thing I’ve been struggling with when researching stocks:

By the time a major news event is obvious, the first move often feels priced in.

What matters more (at least to me) is the second layer:
- suppliers
- customers
- competitors
- adjacent players that might get pulled along

The problem is, I don’t have a clean way to explore that.

It usually turns into:
- jumping between filings, news, and random tabs
- trying to map relationships manually
- missing things I probably should have seen

So I ended up building a small tool for myself that tries to map these relationships and make it easier to explore possible ripple effects.

Not trying to sell anything here. I’m more curious how others approach this.

A few things I’d love to understand:

- How do you personally think through second-order effects when researching a company?
- Are there tools you use that actually do this well?
- Or is this just something you accept as messy and manual?

If this is something people care about, I’m happy to share what I built and get more detailed feedback.