Weedout – Safari extension that hides YouTube AI-labeled videos
I'm the developer. I built this because AI-generated conspiracy videos were getting out of control in my own YouTube feed. Weedout is a $1.99 Safari extension for macOS that removes videos YouTube labels “Made with AI” from feed, search, related videos, playlists and Shorts. It uses YouTube's label rather than AI detection, runs locally, and does not catch unlabeled videos.Source for developers who want to fork or build: https://github.com/masteranza/weedout-for-youtubePull requests are not accepted; the repository is for independent forks.
FL score
out of 100
Verdict
medium confidence
Competition
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Trend
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A $1.99 Safari extension that filters YouTube videos labeled as AI-generated, addressing one person's feed problem with a tool that depends entirely on YouTube's labeling accuracy.
The pain
The gap
Build angle
Strengths
- Solves a real, specific problem the creator experienced
- Runs locally with no data collection or tracking
- Open-sourced for community forks and improvements
- Simple, focused feature set with low complexity
- Transparent about limitations (doesn't catch unlabeled videos)
Risks
- Market size is tiny: Safari-only, macOS-only, niche use case. Estimated addressable market under 50,000 users globally
- Revenue model broken: $1.99 one-time purchase generates ~$100-500/month at best, insufficient to justify ongoing maintenance
- YouTube dependency: Any API change, label format change, or policy shift breaks the extension. No control over core functionality
- Competitive pressure: YouTube could build this natively, or users could request it as a native feature
- User acquisition nearly impossible: No organic discovery path, no network effects, no reason for users to recommend it
- Maintenance burden: Browser updates, YouTube changes, and bug fixes require ongoing work for minimal revenue
- Labeling accuracy: Extension only works if YouTube's labels are accurate. If YouTube mislabels or under-labels, users get false negatives
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
Five lenses, one composite. How scoring works
The angle
No market research recorded for this idea yet.
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