The decision engine behind the major KDP research tools — the math and the go/no-go logic. Bring the numbers (type them, or copy from a KDSpy export); the bench does the thinking.
Pick an Amazon book category, jump straight to its top books, then profile the leaders' BSR, sales, revenue and demand. The gather-and-measure companion to the Niche Scorer.
Reverse-engineer an income target into a concrete number of books and a timeline. Built on Peter's "$30K a month isn't hard" math: monthly profit = earning books × average profit per book — so the goal becomes arithmetic, not luck.
Turn one winning book into a shelf you own. Vary it along Audience × Mechanism × Format — the Driven Publishers expansion grid — and generate your next batch of candidate books, each inheriting the proven winner's credibility and cross-sell.
A pre-build audit against Andrey's five secrets of a great book and Peter's three review questions. Work the checklist before you produce anything — it scores readiness and hands you the exact gaps to close.
Health-check your whole catalog at once. Paste your titles with their BSR and price, and see total estimated income, which books actually earn vs. sit dead, and how concentrated your revenue is — the manual's "never bet the business on one book" rule, made visible.
One book per line: Title, BSR, Price — separated by commas or tabs (paste straight from a spreadsheet). A header row is fine; price can include a $.
Brian Chang's discipline, made into numbers: ads amplify a good book, they don't rescue a bad one. Find the ACOS where you stop making money, the target ACOS for the margin you want, and the maximum bid that still profits at your conversion rate.
The economics behind "max the winner." Once a book takes off on TikTok Shop, the move is to pour creators, samples and ad spend into that one proven title — but only if the per-unit margin survives the fees. This shows what's left after print, shipping, platform cut, and creator commission, and what it earns at scale.