OffHours Investing vs. Fiscal.ai

These two tools agree on the problem — serious fundamental research takes more hours than most people have — and solve it in opposite directions. That makes the choice unusually clean.

What Fiscal.ai does well

Fiscal.ai (formerly FinChat) is a genuinely impressive research terminal: institutional-grade fundamental data on a huge universe of global companies, segment-level KPIs, transcripts and filings in one place, and a conversational assistant that answers questions like "show me ten years of free cash flow" in seconds instead of spreadsheet-hours. For an active researcher, it collapses the data-gathering phase of research dramatically. If you research companies every week and know what you want to ask, it's a superb workbench.

The assumption a workbench makes

An answer engine still needs you to bring the questions — and the questions are the hard part. Which companies deserve research at all? Which metrics matter for this kind of business? And after the research is done, the workbench goes quiet: it doesn't watch your companies for you, notice the Tuesday one of them quietly got cheap, or tell you the fear that made it cheap just eased. Faster answers compress the research session. They don't create the ongoing attention a long-term position actually needs — that part still comes out of your evenings.

What OffHours does instead

We ship the questions already asked and the watching already running. The monthly screen applies one fixed standard — a decade of returns on invested capital above the cost of capital — to ~4,500 US stocks; roughly 150 pass. Each is classified into one of five business archetypes and judged by the standards appropriate to its type, so "which metrics matter here" is answered structurally, not by you at 10pm. The daily Buy Zone reads each stock against its own five-year valuation history and names the fears behind every cheap price, with dated sources. And the Watch List inverts the workflow entirely: every big move on your stocks explained by email the evening it happens, every named fear tracked as it eases or worsens, one Monday recap of your list's week. When you want depth, a nine-section analysis compresses days of diligence into about two hours of reading.

One is a terminal you operate. The other is a process that reports to you.

The honest fit test

Choose Fiscal.ai if you actively research companies, know what to ask, and want the fastest possible answers with deep data behind them.

Choose OffHours if the honest constraint isn't answer speed — it's that you don't have research sessions at all, and you need the filtering, the standards, and the watching handled so your limited attention goes only where something happened.

Plenty of serious investors would use both: the process to decide where to look, the workbench to dig further.

Judge our output directly

The complete Microsoft and Nvidia analyses — the full nine-section framework — are free to read. See whether two hours of reading covers what you'd want a research session to produce.

Full pricing on the pricing page: $19/month, with annual and pay-per-analysis options.

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OffHours Investing is an independent product with no affiliation with Fiscal.ai. Editorial analysis, not investment advice. Past performance doesn't predict future results.