Blog
Field notes on OSINT, security checks, SEO, and safer hiring and vendor due diligence.
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How to inspect a job offer like a security engineer
2026-10-05
Job-Offer Legitimacy Check surfaces review signals in recruiter messages and job offers, including the sender domain's age. The value is in structured triage, checking whether message patterns, sender identity, and public facts line up before you respond.
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Wallet triage works when evidence and action stay separate
2026-10-04
Wallet screening works best when it routes cases by evidence strength instead of compressing every signal into one verdict. This article explains what Wallet risk triage & sanctions screening demonstrates, how to verify its outputs, and where wallet review systems often fail.
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Fake Recruiter Check and the engineering of message triage
2026-10-03
Fake Recruiter Check surfaces patterns in recruiter messages that deserve inspection. Its value lies in evidence, sequence, and mismatch detection, not a binary verdict about the sender.
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EXIF Metadata Check and the engineering of photo signals
2026-10-02
Photos often carry hidden context beyond the pixels. This article explains what EXIF metadata shows, how to verify it, and where metadata analysis often goes wrong.
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Domain Recon and the engineering of passive domain analysis
2026-10-01
Domain Recon shows how passive reconnaissance turns public records into a practical map of a domain’s footprint. The value is in the engineering signals, ownership, DNS shape, certificate traces, and continuity, plus a clear path to verify each claim.
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CRDT Lab and the hard part of offline collaborative editing
2026-09-30
CRDT Lab turns offline collaborative editing into a small, inspectable systems problem. It shows what convergence means on three replicas, how to verify it, and where replicated text models often fail.
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TraceCheck and the engineering of public-footprint scoring
2026-09-29
TraceCheck scores a person or entity's public footprint from live search signals. The useful part is not the score alone, but how it helps you inspect coverage, coherence, and freshness without turning search visibility into a verdict.
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Agent Swarm Lab and the engineering of swarm control
2026-09-28
Agent Swarm Lab frames a core orchestration choice in multi-agent systems: one controller or a peer mesh. The useful lesson is where each topology concentrates risk, how to verify its behavior, and which failure signals matter in practice.
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Arb Lab and the spread you keep
2026-09-27
Arb Lab focuses on the hard part of cross-pool arbitrage, the gap between a visible spread and the part you keep after fees and slippage. The demo is a useful study in reserve math, trade-size sensitivity, and the failure modes of naive profit estimates.
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AMM Lab and the mechanics of swap execution
2026-09-26
AMM Lab breaks swap execution into three inspectable parts: the curve, the fee, and sandwich extraction. It is a useful model for anyone who builds or audits on-chain swap flows.