HoneyGuard
Organize and classify technical documentation with machine learning
Visit honeyguard-organizer.lovable.app ↗What is HoneyGuard?
HoneyGuard helps developers and technical teams manage scattered documentation, articles, notes, and tutorials in one searchable place. The platform accepts PDF and TXT files, extracts content, and applies natural language processing to automatically classify documents, generate summaries, extract keywords, and find related resources across seven technical knowledge areas.
Users upload files or paste text fragments, and the system returns category assignments with confidence scores and relevant keywords. The platform stores original files in cloud object storage and maintains searchable metadata in a database. Built with Lovable, HoneyGuard was developed as an MVP for the Alura + Oracle G9 Hackathon.
Momentum
Daily activity over the last 30 days: upvotes, unique visits, new GitHub stars and Hacker News points.
How do we know it's vibe coded?
vibetrend discovered HoneyGuard automatically. Evidence: GitHub No-Country-simulation/G9-LATAM-Team-25; repo topic "lovable"; hosted on honeyguard-organizer.lovable.app; Lovable markers in page HTML. View source.
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