Stop guessing what to post. See what already worked.
Somewhere in your market, a post went off this week. Not a viral celebrity post — a local post, on a page or in a group your customers actually read. The $NAG indexes any page, group or profile and scores every post against that account's own baseline, so a 400-like post on a 12-like page shows up as the breakout it is. You get a ranked outlier board and a build-ready brief for the ones worth copying — the hook, why it worked, and your version of it.
Swipe brief — top outlier
Raw like-counts lie. Multiples don't.
Every "viral post" tool shows you the same thing: the posts with the biggest numbers. Those posts are almost always from the biggest accounts — which tells you nothing you can act on. A page with 300,000 followers getting 2,000 likes is having a bad day.
The $NAG scores differently. For every account it indexes, it first builds that account's own median engagement, then measures each post against it. Three signals combine into one score:
- Outlier multiple — how many times the account's own median a post hit. This is the honest measure of "did this specific idea work."
- Velocity — engagement per hour since posting, so a 6-hour-old rocket isn't buried under a 3-week-old winner.
- Share pull — what share of engagement came from shares. Shares are people spending their own reputation on your idea. It's the strongest signal in the set.
Everything lands on a four-tier board: NUCLEAR, VIRAL, ABOVE BASELINE, ORDINARY. You only ever need to look at the top of it.
An index is worthless. A brief is a business.
Knowing a post did well doesn't help you — you still have to figure out why, and then build your own version. So the $NAG doesn't stop at the board. Every top outlier comes back as a swipe brief: the hook pattern that made someone stop scrolling, the reason it outperformed, your version rewritten for your business, and exactly what to ship this week.
Those briefs don't sit in a folder. They feed straight into the same content engine that writes and publishes for our clients — so a post that worked in your market on Monday can be your version, live, by Thursday.
What you can point it at
- Competitors — every page in your category, ranked by what's actually working for them right now.
- Local groups — the buy/sell/recommend groups where your customers ask each other for referrals in public.
- Creators — the people whose formats your audience is already trained to watch.
- Yourself — your own page, scored honestly against your own baseline. Most businesses have never seen this. It's uncomfortable and extremely useful.
Questions
What does The $NAG actually do?
It pulls the recent posts from any Facebook page, group or profile you point it at, then scores each post against that same account's own median engagement — so you see true breakouts, not just posts from accounts with big followings.
Why score against the account's own baseline?
A 400-like post on a page that averages 12 likes is a signal. A 400-like post on a page that averages 3,000 is a flop. Raw counts lie; outlier multiples don't.
What do I get back?
A ranked board of outliers with the multiple each one hit, plus a build-ready swipe brief for the top posts: the hook pattern, why it broke out, and the version to build for your business.
Is this just a scraper?
No. Scraping is the easy part. The value is the scoring model — outlier multiple, velocity, and share-pull combined — and the briefs that turn a winning post into something your business can actually publish this week.
How do I run one?
Text Rudy the page, group or profile you want indexed and we run it for you, held to the Rooster Standard before anything ships.
Find out what's already working in your market.
This is the public taste. Text Rudy the pages, groups or competitors you want indexed and we'll run the real $NAG — the full outlier board, the swipe briefs, and your versions built and ready to publish, held to the Rooster Standard before anything ships.