Key facts
| Editorial streams | Six streams, each with a trigger and a point of view |
| Story test | Stream fit, added data, architecture angle — all three required |
| Formats | Reactive post, explainer, original report, commentary, data page |
| Reactive cadence | 2-3 reactive posts per week |
| Reports | 1 original report per month |
| Claim standard | Every claim backed by Plugsky billing or operational data |
| Product status | Live |
TL;DR
- We cover six streams where we have genuine data or operating experience.
- Each story needs stream fit, new information, and an architecture angle.
- Five formats keep coverage matched to the trigger and the goal.
- Reactive posts publish within 24-48 hours with one original data point.
- Original reports and data pages compound authority over time.
How it works, step by step
- Define the few topic streams where you have proprietary data or direct experience.
- Write down the trigger, angle, and goal for each stream.
- Require every story to add new information, not just commentary.
- Match the format to the trigger: reactive, explainer, or original research.
- Publish with full metadata, canonical URLs, and internal links to products.
- Measure traffic, backlinks, signups, and inbound leads per post.
- Feed results back into editorial planning for the next cycle.
Try it yourself
The six editorial streams
Every piece of coverage fits one of six streams: outages, reliability and vendor lock-in; pricing wars and AI economics; regulation, privacy and sovereignty; local AI and open source; benchmarks, launches and comparisons; and founder point-of-view commentary. Each stream has a trigger that starts a post, an angle that shapes it, and headline templates that keep it aligned with the product.
Post types and the data rule
We publish in five formats: reactive posts within 24-48 hours of an event, explainers for complex changes, original reports built from proprietary data, founder commentary, and living data pages. The rule that governs all of them is that every claim must be backed by our own billing or operational data, not by generic market commentary. If a post cannot be sourced to that proprietary data, it does not ship.
Distribution and measurement
No post is considered published until the workflow completes: the page goes live with full metadata and schema, internal links are added within 24 hours, the story is shared with relevant communities, and results are tracked. Success is measured primarily by organic traffic, backlinks, signups, and inbound leads attributed to the post. The output of that loop favors stories only we can write, backed by data only we can publish.
Editorial calendar
The cadence balances reactive speed with long-term authority: two to three reactive posts per week, one founder commentary per week, one original report per month, one to two explainers per month, and data-page updates at least weekly. That mix keeps the newsroom current while building linkable assets that compound over time.
Honest comparison
| Practice | Plugsky newsroom | Typical company blog | Wire-style aggregation |
|---|---|---|---|
| Story selection | Six streams, three tests | Whatever is trending | Reactive only |
| Original data | Required in every major post | Occasional | None |
| Format range | Five formats by trigger | Blog posts only | Short updates |
| Cadence discipline | Fixed weekly and monthly targets | Irregular | High volume, low depth |
| Measurement | Traffic, links, signups, inbound | Pageviews | Impressions |
Frequently asked questions
How is this different from regular blogging?
Every post is tied to a stream where we have proprietary data or direct operational experience, and each one has a defined trigger, angle, and measurable goal.
How do you pick which stories to cover?
A story must fit a stream, add information rather than commentary, and connect back to multi-model, multi-provider AI architecture. If it fails any test, we skip it.
What makes a good reactive post?
It publishes within 24-48 hours of an event, includes at least one original data point, stays tight, and answers what a technical team should do differently because of it.
How do you measure success?
Primarily organic traffic, backlinks, signups, and inbound leads attributed to each post, with shares and mentions as secondary signals.
Can I contribute?
We accept contributions from engineers, operators, and researchers with direct multi-model AI infrastructure experience; pitch a paragraph and your background to the editorial team.
What are the data pages?
Continuously updated reference indexes such as pricing and limits trackers that we refresh as the market changes; they earn the most backlinks.
How does the newsroom feed the product?
Coverage is tied to streams where the product has real capabilities, so stories double as honest documentation of what Plugsky does and does not yet replace.