SigMap

Deterministic, verifiable grounding layer that cuts AI coding session token usage by roughly 97%.

Desktopfreeglobal

A deterministic, auditable signature-and-evidence mapping tool that creates a compact representation of a codebase for AI-assisted coding, avoiding the need to feed full source files as context. It helps lower token costs (reported to reduce token usage by roughly 97%) and reduce hallucination risk by providing verifiable, grounded context; aimed at developers and teams using AI coding tools, it is open-source (MIT), runs without install, supports 33 languages, and can be self-hosted.

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Problem & pain-point mapping
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Trust & credibility signals

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