Finally found a way to automate deep equity research without a tech team

Hey everyone,

Like a lot of folks here who look at market trends or manage a side portfolio, I spend way too much time bouncing between open browser tabs, scraping SEC EDGAR filings, and manually reviewing earnings call transcripts. The tradeoff is always incredibly frustrating: you either have to spend weeks going deep on a couple of specific stocks, or you build shallow filters across a wider list of names.

I recently came across a tool that actually solves this structural workflow problem, and I thought I'd share it here since it's a massive time saver for anyone managing data pipelines.

It is called https://www.cutonce.ai/ and it operates as a visual, no-code research automation layer rather than just another generic financial screener dashboard.

The biggest game-changer is how it handles custom execution logic. Instead of manual data aggregation, you can construct a pipeline that chains filters, macro data inputs, and specific AI nodes together to encode your exact investment thesis. Then you run that thesis across hundreds of stocks simultaneously in a single pass.

What really makes it work well is the data variety it handles simultaneously. It evaluates 10-K financial health, parses executive sentiment from earnings call transcripts, tracks insider trading signals via Form 4 updates, and blends that with FRED economic data or analyst consensus.

Because the backend handles all the heavy data engineering, it delivers a ranked, scored shortlist of investment ideas directly to your Google Sheets, Slack, or inbox in just a few minutes. It completely cuts out the engineering overhead that usually requires a dedicated technical team.

If you are tired of spending hours on manual market screening and document scraping, it is definitely worth looking into.

Curious to hear from others who track market sectors—how are you currently managing your data workflows? Are you still manually pulling files and scraping transcripts, or have you automated your research pipelines?