SecAIQ Watch

What are your AI tools really doing on your machine?

PrivacyArtificial IntelligenceGitHubOpen Source

▲ 0 votes3 commentsLaunched Sep 21, 2026

Daily #9Weekly #27

Free, open-source dashboard that shows which AI tools run on your computer, what they connect to, what they can access and how many tokens they use. Local and read-only: no cloud, no account. macOS, Linux, Windows (beta).

AI Analysis

📝 Summary

SecAIQ Watch is a free, open-source local dashboard that monitors AI tools on your machine, revealing running processes, network connections, resource access, and token usage. It operates read-only with no cloud, no account, ensuring full privacy. Supports macOS, Linux, and Windows (beta). It solves key pain points of opacity and privacy risks in AI applications, empowering users with transparency and control. The value proposition centers on security-focused visibility into AI behaviors without data exposure.

📈 Market Timing

Favorable in 2025-2026 amid AI tool proliferation, rising privacy awareness, stricter regulations like the EU AI Act, and demand for local transparency tools. Users increasingly scrutinize AI apps for data leaks and resource use. Excellent Timing.

✅ Feasibility

High feasibility. Technical challenges in cross-platform monitoring and token tracking are addressed via open-source approach. Low dev/operation costs, minimal compliance risks (no data collection), strong scalability through community contributions on GitHub. Rating: High.

🎯 Target Market

Primary segments: AI developers, engineers, privacy advocates (tech professionals, 25-45 years old), in software/AI industries. Global distribution, strong in US/Europe. TAM for AI privacy tools large due to widespread adoption; core pains are AI opacity and unintended data sharing. Free model suggests high accessibility with potential for donations.

⚔️ Competition

Low. Direct competitors: 1. Little Snitch (obdev.at), 2. GlassWire (glasswire.com), 3. Wireshark (wireshark.org), 4. LuLu (objective-see.org). Advantages: AI-specific (token tracking), fully open-source, local/read-only focus. Disadvantages: Newer project, Windows beta, less mature than established network monitors.

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