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Company profile:
Startup name: KDPTop
Tagline: Kindle category research for Amazon KDP authors
Elevator Pitch: KDPTop helps Amazon KDP authors research Kindle categories, competition, and pricing before they publish.
Target Market: Amazon KDP authors and indie publishers
How will you make money?: Freemium SaaS subscriptions for category research and related publishing tools.
How much capital have you raised?: None
Website: https://kdptop.com
City/Country: Shanghai, China
AI-assisted summary:
KDPTop is a research and workflow platform for people publishing books through Amazon Kindle Direct Publishing (KDP), combining category data, book-level sales estimates, keyword research, publishing utilities, a Chrome extension, and API access. (Source: https://kdptop.com/) It addresses a practical decision problem for self-publishers: determining which book niches may have reader demand, manageable competition, and appropriate category placement before committing time and money to a title. (Source: https://kdptop.com/)
Problem and target users
Amazon KDP lets authors and publishers self-publish eBooks, paperbacks, and hardcovers, while handling distribution through Amazon’s storefronts and print-on-demand infrastructure. (Source: https://kdp.amazon.com/en_US/help/topic/GHKDSCW2KQ3K4UU4) But discoverability depends in part on accurate metadata: KDP publishers can select up to three categories, and Amazon advises them to balance relevance with popularity rather than choose categories that could mislead readers. (Source: https://kdp.amazon.com/en_US/help/topic/G200652170?channel=null&medium=null)
KDPTop is aimed at independent KDP authors, small publishing operators, and publishing teams that need faster competitive research across Kindle and print-book categories. (Source: https://kdptop.com/) Its Chrome Web Store listing specifically identifies low-content and activity-book publishers, children’s-book creators, fiction authors, and nonfiction publishers as intended users. (Source: https://chromewebstore.google.com/detail/kdptop-book-sales-kdp-res/lbpgchddpfjijlgoadkjnpomnledcgmc)
Product and solution
The core product organizes Amazon.com public Best Sellers, New Releases, and Top 100 Free list pages into historical category, book, author, and keyword data. (Source: https://kdptop.com/help) KDPTop says it tracks Top 100 lists across 10,978 categories and Top 10,000 rankings in 378 categories, providing an unusually category-centric lens for KDP market research. (Source: https://kdptop.com/)
Its category “decision cards” surface metrics such as median price, review counts, estimated daily sales, low-review-book share, recent breakouts, and an opportunity score. (Source: https://kdptop.com/) The company says its score weighs review barriers, lower-review-book share, list churn, recent releases, price room, and demand inferred from estimated Top 100 sales. (Source: https://kdptop.com/)
For publishing workflow, KDPTop offers category suggestions and seven backend-keyword suggestions from a book description or competing listing, along with a Chrome extension that can display data on Amazon book, search, bestseller, author, and KDP title-setup pages. (Source: https://kdptop.com/help) The extension also includes royalty and cover calculators, while the web product provides alerts for category breakouts, exports, author tracking, and historical rank data. (Source: https://kdptop.com/help)
KDPTop also exposes its category and book data through REST API and Model Context Protocol endpoints, positioning the product for AI-assisted research in tools such as ChatGPT, Claude, and Cursor. (Source: https://kdptop.com/docs/api) Its estimates should nevertheless be treated as directional research inputs rather than audited publisher revenue: KDPTop says its BSR-based figures count purchases but do not include Kindle Unlimited page reads. (Source: https://kdptop.com/)
Business model, pricing signals, and traction
KDPTop uses a freemium SaaS model, with a free tier that provides limited category research and paid Creator, Pro, and Team plans that expand access to history, exports, alerts, API/MCP usage, and seats. (Source: https://kdptop.com/help) Listed regular monthly pricing is $19.99 for Creator, $39 for Pro, and $99 for Team, with discounted first-month offers for new paid subscribers and lower annual-plan pricing. (Source: https://kdptop.com/help)
The pricing structure suggests a clear upsell path from occasional individual authors to research-intensive publishers and small studios that need bulk exports, automation, or shared access. (Source: https://kdptop.com/help) Public traction signals are limited: the Chrome Web Store listing currently shows two users and one rating, so there is not enough independently verifiable evidence to assess customer scale or retention. (Source: https://chromewebstore.google.com/detail/kdptop-book-sales-kdp-res/lbpgchddpfjijlgoadkjnpomnledcgmc)
Expert take
KDPTop’s strongest positioning is its focus on the moment before publication, when category selection, keyword choices, format, pricing, and competitive analysis can materially shape a book’s launch plan. The product’s combination of historical category tracking, publishing-side utilities, and machine-readable API access is more differentiated than a simple keyword tool. Its main risk is trust calibration: users should understand the assumptions behind sales estimates and avoid treating inferred public-market signals as a substitute for direct sales data or sound editorial judgment.
Note: Information based on publicly available sources at the time of writing, and summarized by AI.
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