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Building thesis from

I think that luxury travel will keep growing

  1. Sharpening your thesis

  2. Forming the Wellow Take

  3. Pulling stocks and ETFs

  4. Stress-testing risks and counterarguments

  5. Validating with market data

  6. Composing your thesis page

Used by people at

  • and more

Live prediction markets

What the crowd is pricing

Why structured?

Most AI gives you a paragraph. Wellow gives you a thesis.

Generic AIWellow

Asking a generic AI

What stocks should I buy if I think travel will keep growing?
Some companies that may benefit from travel growth include Booking, Marriott, Hilton, and Expedia. Travel demand has been recovering and these companies are well-positioned to capture continued growth. You should also consider Delta and United…
  • No structure or ranking
  • No second-order beneficiaries
  • No counter-arguments or risks
  • Tickers may not exist
  • No data to track over time

A Wellow thesis

TSA Checkpoint Travel Numbers

2,651,847+67,545
Passengers

A high-frequency indicator of US air travel volume.

as of Apr 25, 2026tsa.gov

Example output for “I think travel will keep growing.” Real theses include 6–10 ticker cards, 3–8 live data points, plus risks and a backtest.

How it works

From belief to exposure, in three steps.

01

Type a belief

Start with a simple conviction about the future. No tickers, no jargon.

02

Get an exposure map

See stocks, ETFs, second-order beneficiaries, and risks, ranked by thesis fit.

03

Save or share

Create a read-only thesis page you can revisit or send to others.

What's in the output

  1. 01

    Refined thesis

    One sharper restatement of your conviction as a precise investment claim.

  2. 02

    Causal chain

    The numbered links between your belief and the picks — first-order beneficiaries through second- and third-order effects.

  3. 03

    Ranked exposure

    Direct, indirect, enabler, and high-beta tickers, sorted by fit, with logos and 90-day sparklines.

  4. 04

    Counterargument per pick

    What a sharp investor on the other side of the trade is seeing — surfaced on every card.

  5. 05

    Live data to watch

    TSA throughput, RevPAR, jet fuel, and similar high-frequency indicators with current values pulled from FRED.

Questions

What you might be wondering.

  • No. Wellow turns a belief into a structured research artifact: a thesis, ranked exposure, risks, and data to track. It's a starting point for your own research, not a recommendation to buy or sell anything.

  • A frontier model maps your conviction to direct, indirect, and second-order beneficiaries, then ranks them by thesis fit, exposure purity, business quality, and risk. Every ticker is then validated against a market-data API. Anything that doesn't resolve to a real listed company is dropped.

  • Sparkline price history is delayed end-of-day data from Twelve Data, refreshed daily. Macro indicators (FRED) update on their publishing cadence: typically daily, weekly, or monthly. Wellow is research-grade, not a trading terminal.

  • Theses are stored for 90 days as unlisted, read-only share links. They're not indexed, not searchable, and not visible to other users unless you share the URL. Nothing is sold, advertised against, or used to train a model.

  • Yes, Wellow is free to use during MVP. There's a per-IP daily generation limit to keep costs sane.