Primary Research, Checked by Analysts
An editor sets the brief before research starts. AI search agents find sources and extract figures with provenance. Analysts check each figure against the original source, and an editor approves every publication.
Why the Original Source Matters
The internet is full of statistics that cite other statistics that cite other statistics — with no one checking the original source. Gitnux breaks this chain. Search agents locate the original source. Analysts check the figure against it before an editor approves publication.
How We Work
A Four-Step Process from Brief to Publication
Every report and ranking on Gitnux follows the same four steps. An editor sets the brief. Search agents gather sources. Analysts check the original record. An editor approves what we publish.
Editorial Scope
Vendors define topics, but our editors set the inclusion criteria and the evaluation framework before research starts. For a statistical report, that brief sets the questions, the geographies, and the time horizon. For a product ranking, it sets which products qualify and which dimensions matter.
Nothing is gathered until that brief exists.
Source Research
AI search agents find sources and extract data points with provenance. For statistical reports, they pull figures from academic studies, government databases, industry reports, and primary research. For product rankings, they also aggregate written reviews and transcribe video reviews and podcasts.
Agents gather the record. They do not decide what we publish.
Research Methods
Source Check
Analysts check each data point against its original source: the figure, the date, the sample, the method, and the context. Product claims are checked against official documentation, changelogs, and independent technical reviews.
Anything that cannot be traced to its original source is left out.
Editor Approval
Analysts write the report and make the evaluation. An editor approves every publication. Narrative, context, and the final inclusion decision stay with that editor.
An AI summary is an input, not the decision.
Methodology Deep Dives
How We Build Our Two Core Content Types
Statistical Reports Methodology
Market Data & Industry StatisticsEvery Gitnux statistical report begins with an editor-defined brief. The editorial team names the topic, the sub-topics, the geographies, and the time horizon before any source is gathered.
AI search agents then extract figures from primary sources: peer-reviewed studies, government statistical agencies, industry association reports, and original research. Each figure is logged with its provenance — the institution, the publication date, the sample, and the claim being extracted.
Editorial Filter — What Gets Excluded
- Sources with undisclosed sample sizes or opaque methodology
- Self-reported industry data presented as objective measurement
- Sources with clear commercial conflicts of interest
- Statistics relying on a single unverifiable primary source
Analysts then check each figure against the original source:
Analysts compare the figure, the date, the sample, the method, and the context with the original paper, table, or filing.
If the figure cannot be traced to its original source, analysts leave it out. A secondary citation is not enough.
We do not invent statistics. Analysts check figures other people published, and an editor approves the report. Each report is reviewed at least once a year and updated when a newer primary source replaces the one we cited.
Best Lists & Top 10 Rankings Methodology
Product Rankings & ComparisonsOur product ranking process begins the same way as our statistical reports: vendors suggest markets, but a human editor defines the category scope, inclusion criteria, and evaluation framework before any data collection starts. For a “Best Project Management Software” list, for example, the editor specifies which product categories qualify, what minimum feature set is required for inclusion, and which evaluation dimensions matter most.
Where We Differ From Traditional Review Sites
Besides written reviews, AI search agents transcribe video reviews and podcasts in which people discuss and critique products. Analysts read that record. They do not treat the transcript as the decision.
Analysts then check the gathered claims:
Claims such as feature availability or security controls are checked against official documentation, changelogs, and independent technical reviews.
Analysts read the written reviews and the transcripts. Ease of use and support comments stay attached to the source they came from.
No product appears in a published ranking unless analysts have checked its core claims and an editor has approved the list. An AI summary is an input, not the ranking.
Our Research Team
The People Behind the Process
Every article on Gitnux is produced by named researchers with verifiable credentials and domain expertise. Analysts check the figures and write the report. An editor approves publication. AI search agents gather sources. They do not author the piece.
Abigail Foster
Senior Data Analyst
Aisha Okonkwo
Research Analyst
Alexander Schmidt
Industry Analyst
Astrid Bergmann
Senior Data Analyst
Editorial Principles
What We Commit To
Fewer Figures, Checked Sources
We publish fewer statistics than sites that aggregate without checking. Analysts check every figure we keep against its original source.
Source Traceability
If a figure cannot be traced to its original source, we leave it out. A secondary write-up is not the source.
Editor Approval
Analysts make the evaluation. An editor approves every publication. An AI summary is an input, not the decision.
Transparent Corrections
When we discover errors or when primary sources are updated, we correct our content promptly and note the change. Our commitment is to accuracy over consistency.
Paid Research, but Independent Product Evaluation
Rankings rest on official documentation, changelogs, aggregated reviews, and an analyst's evaluation. An editor approves every list. Editorial and commercial decisions stay separate.
Annual Review Cycle
Every report is reviewed and refreshed at least once per year. Fast-moving sectors receive more frequent updates. Each article displays its last review date.
Real-World Impact
Our Process Earns Trust
Because analysts check figures against original sources before we publish, editorial teams at other organizations cite our data. Below is a small selection of those citations.
View full list of publications that cite Gitnux
AI Crawler Data
How We Measure AI Crawler Visits
Requests are logged at the Cloudflare edge, before they reach our servers, and only when the User-Agent belongs to a known crawler. Human visitors are never logged. Each bot is verified the way its vendor documents it, against published IP ranges or reverse DNS. Spoofed requests and bots that cannot be verified are removed from every number. The figures on our homepage cover up to the last 30 full days, as stated next to each figure, and are updated once a day. A visit means an AI system fetched the page; it does not mean the page was cited in an answer.
Questions about our process?
Contact us at [email protected]