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TIM PG

Anonymize sensitive data before pasting into AI tools

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TIM PG is a strictly offline, 100% AI-free Windows utility. It automatically masks personal data from your clipboard before you paste it into LLMs, and seamlessly restores the sensitive data back into the AI's response. Features document anonymization (PDF, Office) and Smart Bubble technology to protect text segments locally on your PC. No cloud, no leaked data—just secure local data privacy for your workflows.

PH · launched Sep 11, 2026 · 77 upvotes (top 2%) · 0 views

Niche: enterprise data privacy and anonymization software · 54 launches, 3 in the last 7 days ▼ -40% · Explore this niche →

Category and tags

  • Horizontal
  • Compliance & governance
  • Prosumer
  • AI feature
  • Commercial product
  • Productivity
  • Privacy
  • Artificial Intelligence

Visit website ↗ Source listing ↗

Could you build this?

Partial While basic regex or NER masking can be vibe-coded, building an offline Windows utility that hooks system-wide clipboard events, intercepts Office/PDF rendering pipelines, and handles stateful bidirectional token de-anonymization reliably requires native Windows systems programming.

What it would actually take: The app requires a native Windows desktop stack (C#/.NET or C++/WinUI) using Windows Hook APIs (SetWindowsHookEx) to monitor clipboard changes seamlessly across external apps. Sensitive entity masking requires an embedded local NER model (like ONNX-quantized Presidio or SpaCy) running offline, combined with document parsers for Office (OpenXML) and PDF (MuPDF/PDFium). Handling state preservation, re-insertion without clipboard corruption, and cross-application GUI overlays ('Smart Bubbles') requires specialized Windows API expertise.

Competitors

Other products that read as similar to this one : 44 launches clear the similarity bar, closest 8 shown.

Attention rank: #2 of 45 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 145 days after the earliest competitor.

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