Manual RSS Download Manager for NZBGet
TL;DR
RSS-to-NZBGet bridge for private media collectors who manually curate rare films/niche genres that lets them search/filter unfiltered indexer feeds (by size, age, seeders, keywords) and drag-and-drop select files into a manual NZBGet queue—so they can avoid automation errors, save 5+ hours/week, and maintain 100% control over downloads without modifying their existing library setup.
Target Audience
Private media collectors and small teams who manually curate libraries (e.g., rare films, niche genres) and use NZBGet for downloads, but avoid automation tools like Sonarr.
The Problem
Problem Context
Media collectors manually search RSS feeds from indexers to find files for download. They avoid automated tools like Sonarr because these tools overwrite their existing library or make changes they can’t control. Instead, they spend hours each week clicking through search results, filtering manually, and triggering downloads in NZBGet—all while risking missed files or duplicates.
Pain Points
The current workflow is slow, error-prone, and lacks advanced search tools. Users can’t save search filters, bulk-select files, or easily track what they’ve already downloaded. Trying to automate with Sonarr fails because it modifies the library automatically, which breaks their curated collection. Manual methods like bookmarking or spreadsheets don’t scale and introduce more work.
Impact
This wastes *5+ hours per week- per user, costs them *missed opportunities- (e.g., rare files they can’t find in time), and creates frustration from repetitive, tedious tasks. For teams or resellers, the inefficiency directly impacts revenue or reputation. The lack of a tool forces them to stick with broken workarounds or give up on curating their collections properly.
Urgency
The problem is *daily or weekly- for active collectors, and there’s no good fix. Users can’t ignore it because manual searching becomes unsustainable as their library grows. Without a solution, they’re stuck choosing between *wasting time- or settling for a suboptimal automated tool that breaks their workflow.
Target Audience
Private media collectors, torrent/usenet enthusiasts, small teams managing shared media archives, and resellers who curate niche libraries. These users are technical but not developers—they know how to use NZBGet and RSS feeds but lack the time or skills to build their own tool. They’re active in communities like Reddit’s r/torrents, r/usenet, and r/sonarr.
Proposed AI Solution
Solution Approach
A web-based tool that *pulls unfiltered RSS feeds- from indexers, lets users *search and filter- them like a powerful indexer, and *manually select files- to download via NZBGet. It acts as a middle layer between RSS feeds and NZBGet, giving users full control without automation. The tool saves searches, tracks downloads, and integrates seamlessly with existing NZBGet setups—no library modifications required.
Key Features
- Advanced Filtering: Replicates indexer search functions (by size, age, seeders, keywords) plus *bulk actions- (select/deselect multiple files).
- Manual Download Queue: Users drag-and-drop files into a queue, which then *triggers NZBGet- to download them—no automation, just execution.
- Download Tracking: Shows queue status, history, and duplicates to avoid re-downloads.
User Experience
Users start by *adding their RSS feeds- in the dashboard. They search/filter files like they would on an indexer but with saved filters and bulk tools. When they find what they want, they *drag files into a download queue- and hit ‘Send to NZBGet.’ The tool handles the API call, and NZBGet does the rest—no library changes, no surprises. They can revisit their queue anytime to add/remove files.
Differentiation
Unlike Sonarr (which automates and overwrites), this tool gives users 100% control. It’s the only solution that bridges RSS feeds and NZBGet manually, with indexer-level search power. The UI is designed for power users who want speed and precision, not automation. Competitors either don’t exist or are too complex (e.g., writing custom scripts).
Scalability
Starts with *individual users- ($10/mo) and scales to *teams- ($50/mo) with features like *shared queues, admin controls, and API access- for custom indexers. Future additions could include team collaboration, advanced analytics (e.g., ‘most downloaded genres’), or integrations with other download clients (e.g., qBittorrent).
Expected Impact
Users save 5+ hours per week, reduce errors from manual searching, and *regain control- over their downloads. Teams can *collaborate on curation- without automation risks. The tool *fits into existing workflows- (no library changes) and scales with their needs—from solo collectors to small businesses. For resellers, it *speeds up sourcing- and improves collection quality.