jatinkrmalik/LLMFeeder
LLMFeeder can become a paid subscription product if repositioned from a local browser extension into a workflow tool for AI research, knowledge capture, and team context management. The extension alone is too small to monetize strongly, but a cloud layer for saved captures, batch processing, workspace libraries, citations, and team sharing has subscription potential.
Who pays?
AI-heavy developers, consultants, researchers, product teams, legal/market analysts, and small teams that frequently collect web context for ChatGPT, Claude, Cursor, or internal LLM workflows.
SaaS angle
Turn the extension into an AI context capture workspace: browser capture, clean Markdown, token-aware clipping, source citations, saved context packs, team libraries, export to ChatGPT/Claude/Cursor/Notion/Slack, and optional API/automation for research pipelines.
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