Publisher · 10 actors

kurtholes on the Apify Store

kurtholes publishes 10 actors on the Apify Store, used by 9 people in the last 30 days. Oldest actor is 9d old. Prices, reliability and maintenance below come from our daily census of the public store catalog.

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Last 7 dayson this catalogue

No changes seen in the last 7 days. Follow kurtholes and hear the morning something moves

By monthly users#1,612↓ 51of 4,120 publishers · 9 users in 30 days
By catalogue size#1,055↓ 40of 4,120 publishers · 10 actors listed
By users all time#1,935↓ 69of 4,120 publishers · 19 users since they began
Needs a build0 of 1010 fresh · 0 aging · stale = no build in 180 days
Carry half the users5 of 9top 3 hold 33.3% · 11.1% on the largest

Places are over the 4,120 publishers listed today; the week’s move is measured against the 3,645 also listed on 17 Oct, so nobody falls because the store grew around them.

What they build10 actors in the catalogue
Platforms targeted
Hacker News3
Bluesky2
Hugging Face Hub2
Reddit2
arXiv1
Ashby1
ChatGPT1
Dropbox1

+6 more platforms · 3 of 10 target no particular site

Biggest actors, monthly users
krakt-llm-prices11%
ai-launch-radar11%
krakt-ai-jobs11%
krakt-blackt11%

share of this publisher’s 9 monthly users

14platforms targeted
10 a monthnew actors, last 30 days
Oct 2026first actor still listed
8dsince their newest actor

kurtholes spreads 10 actors across 14 platforms, most of all Hacker News (3). They have created 10 a month over the last 30 days.

How this is counted

Platforms come from our own classification of each actor’s listing, and an actor can target several — so these counts overlap and add up to more than the catalogue. Dates are the store’s own creation timestamp for each actor, which means the chart shows the actors still listed today, grouped by when they were made: a publisher who built forty last year and has since removed thirty shows ten. Shares are of this publisher’s own monthly users, from the same daily census as the table below.

Monthly userssummed across this catalogue
9↑ 5over 9 readings
Runs / daymatched per actor
11↑ 10over 8 readings
Runs / 30drolling window, summed
67↑ 66over 9 readings
Actorsin the census that day
10↑ 5over 9 readings

Runs per day is each actor's own step in its lifetime run counter, added up over the actors present on both days — an actor joining this catalogue moves the actor count, never the runs line. Last 30 days; the full history is in the app.

Build activitylast 60 days
8builds published
2/60days with a build
100%of the catalogue touched in 30 days
Last touched
2–7d5
8–30d5

kurtholes published 8 builds on 2 of the last 60 days. Busiest was 17 Oct (6).

How this is counted

A build is counted from the store's own build counter, read once a day, so a cell is an exact count and an empty cell is a day nobody shipped. Shading runs against this catalogue's busiest day, so it compares days here — not catalogues. “Touched” is broader than a build: it is the last change the store saw of any kind, on a rolling re-fetch, so it can lag a build by days. Per-actor history is in the app.

Sort
#ActorGradePrice / 1kUsers /30dSuccessRatingAgeFresh
1—EVT$1.00 /1k rowgood price12 total——9dfresh
2—EVT$2.00 /1k itemhigh price12 total——9dfresh
3—EVT$1.00 /1k jobgood price12 total——9dfresh
4—EVT$10.00 /1k file-redactedhigh price12 total——8dfresh
5—EVT$1.00 /1k itemgood price12 total——9dfresh
6—EVT$1.00 /1k ideagood price12 total——8dfresh
7—EVT$20.00 /1k thread-processedsteep price12 total——8dfresh
8—EVT$1.00 /1k plan-rowgood price12 total——8dfresh
9—EVT$10.00 /1k file-convertedhigh price12 total——9dfresh
10—EVT$1.00 /1k itemgood price01 total——9dfresh
10 actors, sorted by monthly users · * prices normalized per 1,000 units Open in search with filters →