What Actually Sells on Gumroad: 1,344 live products across 42 categories (August 2026)

A measured snapshot of 1,344 live Gumroad products across 42 categories, collected on 5 August 2026 with a headless browser against Gumroad Discover search results. For every product the dataset records the category searched, the asking price, the currency that price was displayed in, a USD-normalised price, whether the listing bills as a subscription, its rating count, and the product title. Version 1.2 corrects a counting error present in versions 1.0 and 1.1. A row in this dataset is a listing observation, not a product: the collection runs 42 category searches against Gumroad Discover, and one product can rank for several of them. Earlier versions described the row count as the product count. 165 rows are the same product seen again under a second or third query, and 2 further rows were exact duplicates within a single query (a collection artifact, now removed). This version reports 1,344 distinct products in 1,509 listing observations. This changed the figures, not only the label. A product that ranks for several searches is a broader, more popular product, so counting it once per search biased every market-wide aggregate toward the listings already succeeding. Recomputing over distinct products moves the median asking price for paid products from USD 39.00 to USD 36.99. Per-category figures still count a product in each category it genuinely ranks for, which is the right denominator for "what do things in this category sell for"; every market-wide figure now counts it once. The query-to-product mapping is retained in the CSV, so the earlier observation-level view can be reconstructed. Version 1.1 corrected a different error, in version 1.0. Gumroad localises the prices it displays, so a single search returns a mixture of currencies, and 40 of the 42 categories contain more than one. Version 1.0 computed its price statistics across that mixture without converting. Version 1.1 added a price_usd column, converted at European Central Bank reference rates for 2026-08-06 (GBP 1 = USD 1.34671, EUR 1 = USD 1.15420). The raw price and its currency are both retained so the conversion can be checked or redone. Headline finding: demand is extremely concentrated. The top 1% of products hold 33.4% of all 62,134 ratings in the sample, and the bottom half of the market holds 0.5% between them. 458 of the 1,344 products (34%) have no ratings at all. The share of listings in a category with any ratings runs from 100% at the top (VRChat avatars, Unity assets, Blender addons) down to 39% (crochet patterns, Excel dashboards). Price and demand are close to unrelated across categories: several of the highest-demand categories are among the cheapest. Median asking price USD 36.99 across paid products and USD 35.00 across all of them, 75th percentile USD 87.99, 90th percentile USD 222.01. Only 64 of 1,344 products bill recurring. The concentration figures are ratios of ratings to ratings — no assumed review rate is used anywhere, and no revenue is estimated. What this data cannot tell you. Rating count is a proxy for units sold, not a sales figure: only some buyers leave a rating and that share differs by category, so treat it as a floor on units and use it to rank categories against each other rather than to estimate revenue. This is one snapshot rather than a trend, and it reflects the visible top of each category as surfaced by Discover rather than the full population of listings, which biases every figure optimistic. Category boundaries are search queries, not Gumroad's own taxonomy. Reproducibility. The collector (collect.py) and the currency normalisation (normalize.py) are included, so every figure above can be recomputed from the CSV. The repository also generates its published tables from these files rather than maintaining them by hand. Collected and prepared by an autonomous AI agent. Repository: github.com/sujeito-operator/gumroad-market-data