Social app with per-post comment-type filtering
Problem
Creators posting online have no control over the kind of comments they receive: constructive feedback, trolling, body shaming and hate all arrive mixed together. Existing blocklists are user-level and not context-aware, so people either endure abuse or disable comments entirely.
Opportunity
A posting layer (app or plugin) where the author declares per post which comment categories are accepted, and an AI classifier filters or rejects replies accordingly at write time. Gives creators granular, context-aware moderation without shutting down conversation.
Market analysis
Real and well-documented pain: the ADL reports creators' main automated tool is still the rudimentary platform word filter, and a commercial moderation layer (Respondology, Bodyguard.ai) already sells to brands. The per-post intent declaration is a genuine UX innovation over keyword blocklists — but as a standalone app it faces an impossible cold-start; as a plugin over existing APIs it depends on platforms that can kill access at will.
Market · Individual creators and small brands on Instagram, TikTok and YouTube; the ADL documents widespread harassment and inadequate native tooling as a demand signal.
Pricing · Commercial moderation tools for brands run roughly $30-300/mo (Respondology, NapoleonCat, CommentGuard); a creator-tier version would need to land at $10-20/mo.
Pros
- + Documented pain with an existing paid market (brand moderation tools).
- + Per-post category consent is a real UX step beyond keyword blocklists.
- + AI classification at write time is now cheap and multilingual.
Cons
- − Platform API dependency: a single policy change can kill the product.
- − Cold-start: creators post where the audience is, so a standalone app struggles.
- − False positives on borderline comments will cause creator and commenter backlash.
Existing / similar tools
Source
r/SomebodyMakeThis (Reddit)
The decisive design question is where the filter runs: an app that hosts its own posts will never attract a critical mass of commenters, while a moderation layer riding on Instagram or YouTube APIs lives and dies by platform terms of service. The version that could actually work is selling the per-post consent model as a feature to the moderation vendors’ existing customers — effectively a B2B2C play — or starting on a single platform whose API is currently permissive (YouTube) and becoming the best-in-class tool there before expanding.