Problem / context
Why it exists
Web3 scam guides often use separate labels, even when the same campaign combines impersonation, fake websites, malicious approvals and wallet drainers.
Research
Badasya Atlas
A planned graph of Web3 scam types, warning signs and connections.
Overview
What this project is
What is planned
The approach
The plan is a small graph model that connects scam types, entry points, on-chain behavior and warning signs.
Current state
Where it stands
Planned concept. There is no public atlas, detection tool or reviewed dataset yet.
Why a graph
Most scam lists treat every label as a separate thing. In practice, one scheme can start with an impersonated account, lead to a fake airdrop page and end with a malicious wallet approval.
Badasya Atlas should make those relationships easier to see. The goal is a research map, not an address blacklist and not an automatic scam detector.
Capabilities
Key features
- Browse scam types as a connected graph instead of a flat glossary.
- Show where phishing, fake airdrops, wallet drainers, rug pulls and impersonation overlap.
- Keep source references and verified observations separate from working notes.
Implementation
Tech stack
- To be announced
Next
Roadmap
- Define the first taxonomy and rules for adding sources.
- Build a small reviewed example dataset.
- Test a static interactive graph prototype.
Feedback
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Send a note with what you found or what you think I should try next.