Who Writes and Reviews Arcane Radar
Arcane Radar is built and maintained by a single lead developer with a structured editorial review layer applied before publication. Every article goes through labeling, sourcing checks, and a clarity pass before it goes live. This page explains who does that work and how.
Lead Developer
Dakota has spent over a decade delivering software across consulting and industry contexts, with hands-on experience in cloud platforms, distributed systems, and applied AI including LLM evaluation and tooling. Past work spans technical project delivery, stakeholder management, and cross-functional product development from early requirements through production release. Arcane Radar is an independent project built to solve a real problem: making crypto signal quality legible, fast, and honest.
Editorial Review
Before any article publishes, it goes through a structured review pass focused on four things: label accuracy (is the confidence level correct?), source quality (are claims grounded?), structural clarity (does the framing hold up?), and voice consistency (does it read like Arcane Radar?). This layer exists to catch drift before it reaches readers, not to add volume to the process.
Editorial Standards
How Stories Are Labeled
Every article carries a confidence label: Confirmed, Developing, Early Signal, or Unconfirmed. These are not editorial opinions. They reflect the actual state of the sourcing at the time of publication. A confirmed article has multiple corroborating sources. An early signal article has one or two credible leads but lacks independent verification. The label tells you exactly how much weight to put on the coverage.
Developing vs Confirmed Coverage
Breaking situations are covered in stages. When a story first surfaces, it is labeled Developing or Early Signal. As facts lock in, the article is updated and the label upgraded. We do not wait for full confirmation to publish when the early signal is credible and the reader benefit is real. We do wait before promoting a speculative story as fact.
Sourcing and Review
Primary sources, on-chain data, and official filings are given more weight than secondary reporting or social posts. Where a claim comes from a single source, that is noted. Where the source is speculative or anonymous, that is surfaced clearly in the article framing, not buried in a footnote.
Automation in the Workflow
Parts of the Arcane Radar workflow are assisted by automation: signal detection, content structuring, and initial drafting. Final framing, label decisions, and editorial calls are human. We are transparent about this because it matters for how you interpret what you read here. Automation helps with speed and scale. It does not make sourcing decisions or assign confidence labels.
Editorial Contact
For corrections, editorial questions, and partnership requests, email is the right path. It creates a record, and responses are more considered than a Telegram ping.
Use this for corrections, editorial notes, and partnership inquiries. For tips and fast feedback, Telegram also works.