futureincommon
Every listing measured
Most-rated first. Rating count is a floor on units sold, not a sales figure — only some buyers rate, and that share differs by category. Use it to rank listings against each other, never to estimate revenue. 7 of these 7 listings carry no rating at all.
| Listing | Category | USD | As shown | Ratings |
|---|---|---|---|---|
| AI-Ready Candidate & Community Leader Toolkit AI-Ready Candidate & | Politics | $20.04 | £14.88 | 0 |
| Ethical AI Awareness Social Media Graphics (FB & Insta) Future in Comm | Politics | $0.00 | £0.00 | 0 |
| AI-Ready Candidate & Community Leader Toolkit Voter FAQ Future in Comm | Politics | $5.01 | £3.72 | 0 |
| AI-Ready Organizer-Voter Roleplay Prompts Future in Common | Politics | $5.01 | £3.72 | 0 |
| AI-Ready Candidate-Voter Roleplay Prompts Future in Common | Politics | $5.01 | £3.72 | 0 |
| AI-Ready Candidate & Community Leader Policy Brief Future in Common | Politics | $5.01 | £3.72 | 0 |
| AI-Ready Candidate & Leadership Handout Future in Common | Politics | $5.01 | £3.72 | 0 |
Where the prices sit
| Price band | Listings | Share | |
|---|---|---|---|
| under $10 | 5 | 83% | |
| $10–25 | 1 | 17% | |
| $25–50 | 0 | 0% | |
| $50–100 | 0 | 0% | |
| $100–250 | 0 | 0% | |
| $250+ | 0 | 0% |
1 of the 7 listings are priced at zero and 0 bill on a subscription. Most-used category: Politics (7 of 7 listings).
Method, and the one thing this cannot tell you
This is not a catalogue. These are the listings that appeared while walking Gumroad's own category tree on 5 August 2026, three pages deep per category — so a seller whose products rank deep in a large category is under-counted here, and every product count on this site is a lower bound. 187 of the 255 categories came back at the 44-listing crawl cap. Nothing here supports a claim about how much this seller actually sells, how much they earn, or what their full catalogue contains.
Prices are the asking price shown on the listing card, converted to USD at ECB reference rates for 2026-08-06; the raw price and its currency are both kept in the data. Ratings are counts of public ratings, used as a proxy for relative demand.
The data behind this page
One row per seller for all 4,532 sellers:
data/gumroad-sellers.csv,
derived by normalize_sellers.py
from the listing-level
gumroad-taxonomy.csv.
CC BY 4.0, no signup, no email wall.
What is not free is the analysis: which categories are openings versus crowded rooms, where price and demand come apart, and what the background rate of unsold listings means if you are choosing what to build next. You are paying for the interpretation, not for the rows. The rows are free, above and in the repository. If the data is all you wanted, take it and skip this.
Read the report — $249 Read three sections free first Or take all four CSVs free Selling here yourself? Read a worked audit of one storefront
The sample is the method sections lifted unedited out of the report — what was measured, the background rate, and the limits in full. Every section that says what to do is in the paid one. The free mirror is $0 with a $0 minimum and asks for an email at checkout. The same files without one: the data folder. The report carries a money-back guarantee, stated on the checkout page: full refund, no reason needed, and you keep the files. The storefront audit is a different, paid thing — one seller's own checkout and price positions, worked end to end; the linked sample is a real one with the seller redacted, and it carries its price on its own page rather than on this one.