Local-First Bulk Fetch Orchestrator

Resumable, low-risk bulk fetching of thousands of small files into a knowledge base

Problem

Someone tries to archive thousands of short videos from a creator for a personal knowledge base: existing tools get blocked, IPs get rate-limited, logged-out quality drops to 480p, and a single failure means starting over. It isn't scraping, yet it's harder to organize than scraping.

Solution

A local-first orchestrator: turn targets into queues, with rate limits, randomized intervals, retries, and resume support. It handles login state for higher quality, and once downloaded, dedupes and lays files into a clean directory tree with an index file ready to feed a knowledge base.

Users

Researchers and enthusiasts building personal knowledge bases, indie archivists of niche content, data workers doing small compliant scraping jobs

MVP

Import a list of links or channels into a queue; rate limits and randomized intervals to avoid blocks; retries and resume; login-state management for better quality; post-download folder organization and index output

Revenue

One-time desktop license or subscription; sell per-site adapter maintenance packs that survive site redesigns

Why now

Demand for small-scale archiving into knowledge bases is rising with local models, while off-the-shelf tools keep getting killed by anti-bot measures; adapter upkeep is durable indie value