Build conviction, not just a watchlist.

Write your thesis on a stock, and get an evidence-driven read on whether new information strengthens or weakens it.

Hunch owl mascot

Our mission

Help investors build conviction. Earned from evidence, not borrowed from headlines.

Why now

The way investors consume news hasn’t evolved — but the volume has.

You are not short on information. You are short on context. Modern investing is shaped by an overwhelming flow of headlines, transcripts, posts, interviews, and commentary — but almost none of it is organized around what you actually believe.

01

More news, less signal

Feeds are filled with stories optimized for distribution, not relevance. The same narrative gets repeated across sources, while the few items that could actually change your view are easy to miss.

02

Nothing is evaluated for you

Every headline is presented as if it matters equally. But investors do not read news in a vacuum. They read it through a thesis, a set of concerns, and a specific time horizon.

03

The signal is scattered

What matters might come from a newsroom, an earnings call, a founder interview, a Reddit thread, or a post on X. Investors are left stitching together that context manually, every single day.

What

A personalized intelligence layer for your investing process.

hunch does not give you more news. It tells you what actually matters — based on what you believe, what worries you, and what you are trying to understand.

Thesis-aware

News judged against your thesis

Every item is evaluated in context: does it support your thesis, weaken it, ease a concern, reinforce a risk, or change nothing at all?

Unified signal

One feed across all sources

Traditional publishers, transcripts, social platforms, and primary sources are brought into a single system and ranked by relevance — not by who paid for distribution.

Explainable

Not just results — reasoning

Each item comes with a clear explanation of why it matters, so you can update your thinking with evidence instead of reacting to isolated headlines.

Before

The old way

You scroll through a generic feed.

You manually interpret whether each item matters.

You jump across publishers, transcripts, and social platforms.

You spend time processing noise instead of refining your view.

With hunch

Start with what you believe

Build a watchlist around the names you care about.

Write your thesis and your concerns for each one.

Let the system evaluate incoming signal against that context.

Focus only on the few items that are actually decision-relevant.

Get started

Start with your watchlist.
Then define why you own it.

Build your first watchlist, write your thesis and concerns, and let hunch turn the raw flow of financial information into a feed organized around what actually matters to you.

How

hunch sits between the raw flow of financial information and the investing view you actually hold.

It ingests signals from publishers, transcripts, social platforms, and primary sources, then evaluates each item against your thesis, concerns, and watchlist context before it reaches your feed.

Publisher
Wall Street Journal
Publisher
Bloomberg
Transcript
YouTube
Social
X / Twitter
Community
Reddit
Press Release
PR Newswire
Hunch owl — judgment engine
Judgment engine
Thesis • concerns • context

This layer evaluates each incoming item against what the user believes and what they are worried about.

SNAPSupports thesis
Snap’s direct revenue business reaches $1B annualized run rate

Direct evidence that monetization is improving beyond the market’s base assumptions.

SNAPEases concern
Snap announces $500 million stock repurchase program

Signals management awareness of dilution and a willingness to offset part of stock-based compensation.

METARelevant but neutral
New AI ad tools increase advertiser efficiency

Useful competitive context, but not yet thesis-changing for the names you follow.