TL;DR
Thorsten Meyer AI reported that a May 2026 audit of its 474-site publishing network found 80% of posts landing on 38 sites, while 249 sites received no posts. The company attributed the imbalance to separate placement and supply problems and said it has made changes across its news-intelligence layer, content engine and scheduler.
Thorsten Meyer AI said a 28-day audit of its 474-site automated publishing network found that 80% of posts were going to 38 sites while 249 sites received none, a distribution problem that matters because overall publishing volume had hidden a large coverage failure across the network.
The company said the audit showed the top 38 sites, about 8% of the catalog, carried 80% of output. It also said the four highest-volume sites, all technology titles, were receiving more than 200 articles per week each, while 53% of the catalog had no posts during the audited period.
According to the report, the issue was not a single matching bug. Thorsten Meyer AI attributed the pattern to two separate causes: DojoClaw, its content engine, repeatedly selected the same broad technology sites after stories cleared a relevance gate, while Stenvrik, its news-intelligence layer, supplied far more technology and AI material than the catalog could evenly absorb.
The company said 53% of supplied content was technology or AI-related, while only about 13% of sites in the catalog fit that demand. It said the repair included per-site weekly caps, network-wide recency ordering, a floor for idle eligible sites, feed audits and new verified feeds for categories such as Home, Garden, Health, Food, Fashion, Auto, Science and Pets.
Why It Matters
The report matters for publishers, SEO operators and automation teams because it shows how a system can meet volume targets while failing distribution targets. In this case, the output graph appeared healthy, but the site-level audit found that half the network had gone dark.
The company said the tradeoff is deliberate: ordering candidates by load and idleness may reduce some topical ranking precision, but only after candidates have passed a relevance check. If the fix works as described, the network should spread posts across more sites without abandoning topic matching.
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Background
Thorsten Meyer AI described the network as two cooperating systems: Stenvrik identifies and tags news supply, while DojoClaw rewrites and places stories across the catalog. The company said that split helped isolate the failure because supply and placement could be measured separately.
The May 2026 audit compared where syndication actually landed over 28 days. Before the change, the network had 245 feed sources and a daily ceiling of about 188 posts, according to the report. After the changes, Thorsten Meyer AI said it had 271 verified feed sources, raised fan-out width from 5 to 7 sites and increased quota depth from 2 to 3, lifting the stated daily ceiling to about 280 posts.
“80% of output on 8% of sites”
— Thorsten Meyer AI engineering note
“Not one bug – two independent causes”
— Thorsten Meyer AI engineering note
“The proof is in the next weeks of data”
— Thorsten Meyer AI engineering note
news feed distribution software
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What Remains Unclear
The results of the repair are not yet confirmed from follow-up data. Thorsten Meyer AI said the change affects future placement and does not retroactively change the month in which many sites received no posts.
The report also says a documented target of about 950 posts per day was not delivered by existing code because of a units issue and remains gated behind sign-off. It is not yet clear whether that higher target will be approved or how it would affect distribution.
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What’s Next
The next test is the network’s site-level publishing data over the following weeks. The main metrics to watch are whether dormant sites shrink from 249, whether the top 38 sites carry a smaller share of posts and whether the higher daily ceiling spreads output rather than recreating the same concentration pattern.
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Key Questions
What happened in the publishing network?
Thorsten Meyer AI said a 28-day audit found that 80% of posts in a 474-site network were landing on 38 sites, while 249 sites received no posts.
Was this caused by one software bug?
The company says no. It attributed the pattern to two causes: DojoClaw’s placement logic favored already-selected sites, and Stenvrik supplied more technology and AI content than the catalog’s category mix could absorb.
What changes were made?
Thorsten Meyer AI said it added per-site weekly caps, network-wide recency ordering, protections for idle eligible sites, a feed cleanup, new verified feeds in underfed categories and higher fan-out and quota settings.
Is the fix proven yet?
Not yet. The company said the fix changes future behavior, and the result has to be measured in the next weeks of data.
Source: Thorsten Meyer AI
