Market intelligence · For romance authors

Write what readers are
reaching for this month.

Tropesmith reads 2,531 Amazon bestsellers, 9,258 Goodreads shelves, 4,090 BookTok videos and 2,379 Reddit threads so you don't have to. Then we tell you the 5 tropes, 3 comp titles, and market gaps your next book should hit.

No card needed First Map free In minutes, not weeks
Live · 1.83B BookTok plays observed · 9,391 reader demand signals
The method

Three signals.
One verdict.

A Map is built from three independent data layers. Each answers a different question, and we never let one overrule the others.

01 · Supply

What's already winning

Every Amazon bestseller in your subgenre. Their tropes, blurbs, cover language, review counts. The whole competitive landscape, read in full and structured for you.

02 · Demand

What readers ask for

Reddit threads, Goodreads reviews, BookTok captions. The "I want a book that…" voice in the reader's own words. We mine it, score it, surface the gaps.

03 · Vocabulary

The words readers use

The Goodreads shelves real readers create. Your blurb keywords, ad targeting, metadata. Words that find your readers, not words your editor invented.

What's in a Map

Nine pieces of evidence, ranked.

Every Map ships with the same skeleton. The market verdict changes; the structure doesn't. Read it like an editor would read a manuscript report.

Open a sample Map
From brief to Map

Two minutes from brief to verdict.

Read the full method
You

Brief

Subgenre, heat level, format, plus any comp titles you've been thinking about. ~60 seconds.

Tropesmith

Scan

Supply, demand, and vocabulary signals retrieved in parallel against this week's data.

Tropesmith

Verdict

An editorial pass writes the Map: ranked tropes, comps, archetypes, gaps, risks, actions.

At scale

We read the market at scale,
so you don't have to.

3,400+
Amazon bestsellers parsed monthly
280k
Goodreads reviews mined
11k
Reddit threads tracked across r/RomanceBooks & siblings
420+
Maps shipped to indie authors
The Map flagged a trope I'd planned the whole book around as oversupplied — and pointed me at one I'd never considered. Two months later it's my best-selling release.
— Author quote placeholder · swap before launch
For authors who don't have time

You could read 6,000 reviews.
Or you could write the book.

A week on Goodreads. A month tracking Amazon ranks. Survey BookTok every night. Or let Tropesmith do it and spend that time writing the book that's actually going to sell.

Your first Map is free. After that, $15 a book. The math is easy.

Pricing · From $10.75 a Map

Credits never expire. First Map free.

Full pricing

Starter

$15
1 Map · $15.00 each

For one book. 5-7 trope recs, 5 comps with study notes, FMC + MMC, risks + actions.

Buy Starter

Series Pack

$69
6 Maps · $11.50 each

A full series plus spin-offs. Or six different lanes. Credits never expire.

Buy Series

Workhorse

$129
12 Maps · $10.75 each

A year of books at indie pace. Best per-Map price. Credits never expire.

Buy Workhorse
What we read so you don't have to

Built on 534 million BookTok plays.
No competitor reads what readers actually engage with.

Most "trope intelligence" tools recycle 2022 bestseller lists. Tropesmith ingests live BookTok virality, Goodreads reader shelves, Amazon supply, and Reddit asks — weighted by what readers are reaching for this month.

BookTok virality
0
plays observed
31 hashtags tracked 910 viral videos parsed
Goodreads readers
0
shelf signals
6,711 reviews mined 216 books deep-tagged
Amazon bestsellers
0
books analyzed
12,784 tropes extracted Kindle + print
Direct reader asks
0
demand signals
BookTok + Reddit + Goodreads Structured by Claude
What's hot this month on BookTok
#darkromance 127M plays #bridgerton 61M plays #romancetok 45M plays #icebreaker 38M plays #romancebooks 35M plays #acotar 14M plays #darkromancebooks 10M plays #workplaceromance 7M plays #romantasy 7M plays
The mechanism

Our recommendation engine weights BookTok signals highest — a viral video carrying millions of plays is the strongest social-proof signal in the corpus. Reddit asks come second (explicit reader requests). Goodreads reviews come third (single-reader praise). Then we cross-reference what's over-supplied on Amazon to find the gap. That's what your Map reflects.

Data refreshed monthly. Numbers above current as of .