ScoutFox
Contextual signals for those who seek tomorrow's alpha today
39 followers
Contextual signals for those who seek tomorrow's alpha today
39 followers
ScoutFox surfaces signals from primary sources before they become stories. The edge isn't access — it's significance detection.
Launch Team / Built With
Render Sandboxes: a computer for every agentIsolated compute, persistent state and a real filesystem
Promoted
I've been on the wrong side of this problem twice.
At my last attempts of building, a competitor launched a product i'd been planning for two months. The signals were there — their job postings, a regulatory filing, a founder's offhand comment on X. We just weren't watching the right things in the right way.
That's not a data access problem. Bloomberg exists. Perplexity exists. The problem is nobody models what "normal" looks like for a specific entity — so nothing flags when normal breaks.
ScoutFox builds a per-entity behavioral baseline and tracks deviations. Not "here's news about Company X" — "Company X's hiring velocity in this segment just moved 2.3 standard deviations from their 90-day baseline. Here's what that's preceded historically."
The system gets smarter with every run. Source credibility, query effectiveness, what patterns precede what events — all accumulated per entity. Run 100 is meaningfully better than run 1.
We're live with editorial teams and PE,VC firms as our first three verticals.
The journalists use it to find stories before they're obvious.
The analysts use it to find signals before they're priced in.
Happy to answer questions about the signal detection approach or the architecture — this one's been an interesting build.
Starting scouting faster!