timstark
No user record in our sample, but timstark has activity below (stories or comments). Likely we have partial data — the full bulk-load will fill profiles in.
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also cuts tokens 93% Claude Code's WebFetch converts HTML to markdown and runs it through a secondary model before it hits your context — but that pipeline wasn't designed as a security boundary. Turndown strips…
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I built a drop-in MCP server that sanitizes web content before it reaches your LLM — stripping prompt injection vectors deterministically, no LLM call needed. Along the way I found it also cuts token usage by ~90%.…