discussionOthersituationalOpen SourceCommunity ForumSAAS

Hacker News Spam Detection Penalizes Legitimate Project Promotion

A developer finds their project repeatedly flagged or killed by HN's automated spam detection despite genuine community interest. The system conflates repeated legitimate posts with spam behavior. This is a platform-specific moderation edge case with no clear software solution market.

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Similar Problems

surfaced semantically
Other82% match

HN post flagging process lacks transparency for submitters

A submitter whose Show HN post was flagged has no clear explanation of why, assuming competitive sabotage. The existing vouching and moderation mechanisms are not well communicated to ordinary users. This is a meta platform discussion with no buildable third-party opportunity.

Customer Experience79% match

Opaque Domain-Level Shadow Banning on Hacker News and Reddit

Users who share links from their own project's domain report those submissions become invisible to logged-out viewers without warning or explanation, a pattern known as domain-level shadow banning on platforms like Hacker News and Reddit. This affects independent builders trying to share their work, who have no formal way to detect or appeal the restriction beyond community "vouch" mechanisms with unclear thresholds. The problem matters because it silently limits organic reach for legitimate builders while offering no transparency into why or how filtering was triggered.

Developer Tools76% match

Curiosity About HN Content Moderation Mechanisms

Curiosity about whether Hacker News uses LLM or NLP to detect AI-generated content and deduplicate Show HN posts.

Marketing & Growth75% match

Founders Cannot Find Audiences for Their Product Stories

In a hyper-tech world, founders struggle to find the right medium to share product stories. Every platform feels like talking to an empty room.

Marketing & Growth75% match

AI-Built Apps Face Community Backlash When Seeking User Feedback

Developers using AI coding tools face hostile reception when promoting their projects on Reddit and developer forums. Communities dismiss AI-assisted work as slop, making it nearly impossible to get genuine user feedback regardless of product quality.

Problem descriptions, scores, analysis, and solution blueprints may be updated as new community data becomes available.