StealAds
StealAds (stealads.
Overview
StealAds (stealads.ai) tears down live competitor ad libraries with Jev on the labeling hot path. Matthew Berman's (@TheMattBerman) launch clip shows seven hundred twenty-four ads across thirty-seven brands analyzed in about forty seconds for roughly nine cents of tokens, emitting hook, format, offer, CTA, awareness stage, and landing-page mismatch fields.
Problem: Media buyers need structured labels across hundreds of competitor ads without manually opening every creative and landing page.
Built for: Performance marketers and founders using StealAds to reverse-engineer competitor Meta libraries.
First indexed on Jev Directory: 2026-09-17
Creator and team
- Name
- Matthew Berman
- Organization
- StealAds
- Handle
- @TheMattBerman
“In forty seconds Jev broke down seven hundred twenty-four live ads from thirty-seven brands for about nine cents.”
How Jev is used
- Role in the product flow
- Batch structured labeling over live ad creatives and landing pairs
- Primitives
- ChoiceScoreNoul
- State in
- Ad creative text, visuals metadata, and landing URLs from StealAds ingestion of live competitor libraries (per launch clip).
- Decision out
- Per-ad labels for hook, format, offer, CTA, awareness stage, and landing mismatch signals suitable for filtering and swipe files.
- StealAds pulls live ads for selected brands
- Jev classifies each creative against marketing taxonomy fields in parallel batches
- Operators browse labeled sets in StealAds UI or upcoming MCP tools
StealAds uses Jev where a general chat model would drown in token-heavy JSON improvisation. Each ad becomes a compact state object; Jev returns typed marketing labels so the UI can sort, filter, and export patterns without regex on model prose. Choice and Score style questions cover categorical fields like hook archetype and awareness stage, while Noul-style checks flag landing-page mismatches between promise and destination. The builder noted StealAds product and MCP availability in the same thread; madewithjev.com/builds/competitor-ad-teardown documents the pattern for teams reproducing the workflow. Try app.stealads.ai/demo for the interactive surface; this profile does not claim undisclosed StealAds schemas beyond the public clip.
Sourced performance claims
- Seven hundred twenty-four live ads, thirty-seven brands, about forty seconds, about nine cents of tokens in the attributed clip.Source: Matthew Berman X post 2100654891756589230
Features and stack
Features
- Large-batch competitor ad labeling
- Public demo at app.stealads.ai/demo
- Made with Jev build write-up
- Upcoming @stealads MCP integration per launch post
Stack
- StealAds hosted app
- TypeSafe System One
Demo
Showcase clip with the same lightbox player as the homepage. Click to play.
StealAds competitor ad teardown
724 live ads, 37 brands, 40 seconds, 9 cents. Jev labels hooks and landing mismatches so media buyers steal patterns, not vibes.
Links
FAQ
- Is the nine cent figure reproducible?
- It comes from Matthew Berman's September 2026 clip on seven hundred twenty-four ads. Re-run on your brand set inside StealAds for production budgeting.
- Where is the build guide?
- madewithjev.com/builds/competitor-ad-teardown summarizes the competitor teardown pattern shown in the showcase clip.
Related learn guides
Original Jev guidance that pairs with this product pattern.
- Jev use cases
The patterns builders actually search for: moderation, routing, triage, RAG verify, and agent gates.
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