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82score
HN · front_page
Freemium
Build

AI Slop Filter Browser Extension

Build a browser extension that scores articles and posts for likely low-value AI writing, then hides, grays out, or summarizes them before the user wastes time. The winning angle is not just detection, but user control and nuance: separate AI-polished human writing from generic filler and allow community feedback loops.

5 canauxTendance des mentions sur 30 jours: latest 1, peak 6, 30-day series
Voir sur Reddit
Découvert 4 août 2026

Pourquoi c'est important

You open a technical article hoping to learn something useful, then quickly realize it is padded with generic, over-explained prose that burns minutes before delivering the actual insight. After repeating this enough times, you start scanning comments for clues or writing your own hacks to avoid reading junk. Existing tools either rely on crude AI detection, only work on a few sites, or fail to distinguish between a human using light editing help and content that is mostly synthetic filler. What you want is a reading layer that protects your time across the web and lets you tune how aggressive the filter should be.

  • · Conçu pour Heavy readers of technical and professional content, including developers, analysts, researchers, and knowledge workers who consume high volumes of online articles and discussion threads..
  • · Monétisation la plus probable : Freemium.

La douleur · Récit

You open a technical article hoping to learn something useful, then quickly realize it is padded with generic, over-explained prose that burns minutes before delivering the actual insight. After repeating this enough times, you start scanning comments for clues or writing your own hacks to avoid reading junk. Existing tools either rely on crude AI detection, only work on a few sites, or fail to distinguish between a human using light editing help and content that is mostly synthetic filler. What you want is a reading layer that protects your time across the web and lets you tune how aggressive the filter should be.

Détail du score

Intensité du problème9/10
Volonté de payer7/10
Facilité de réalisation6/10
Durabilité7/10

Signal du marché

Tendance des mentions sur 30 joursPic : 6
Sparkline: latest 1, peak 6, 30-day series
Canaux couverts
front_pageChatGPTwebdevselfhostedEntrepreneur

Mise sur le marché

Utilisateur cible exact

Developers and technical readers who browse long-form web content daily and feel their reading time is being diluted by low-value AI-generated prose.

Nombre d'utilisateurs estimé

~100K highly engaged early adopters globally

Canal d'acquisition principal

Twitter dev community

Ancre de prix

$8/month

Premier jalon

1000 extension installs and 50 paying users within 30 days of launch

Périmètre MVP · 1–2 semaines

Semaine 1
  • Build a Chrome extension that injects a score badge into article pages
  • Create a simple classifier pipeline using readability, repetition, and LLM-assisted style heuristics
  • Add manual controls to hide, gray out, or ignore a page
  • Store per-domain preferences and allowlists locally
  • Set up a landing page with waitlist and install instructions
Semaine 2
  • Add optional server-side scoring API for heavier pages and faster iteration
  • Implement thumbs-up and thumbs-down feedback collection on scores
  • Launch support for 3 high-traffic content sites with custom DOM parsers
  • Add quick bullet summary generation for flagged pages
  • Instrument retention, score override rate, and conversion analytics
Fonctions MVP: On-page AI-likelihood and verbosity score · Auto-gray or hide setting for low-value content · One-click community feedback to improve detection · Fast extractive summary for borderline content · Site-specific rules and allowlists

Différenciation

Solutions existantes
PangramLinkedIn AI-content flaggingMeta self-disclosure checkboxOpenRouter provider listings
Notre angle
There is a clear unmet need for independent trust infrastructure around AI-era content and inference: one side for readers filtering low-value generated prose, and another for developers evaluating hidden tradeoffs in model-serving vendors.

Pourquoi cela pourrait échouer

Auto-contre-argument — le signal de confiance le plus important

  1. 1Users may enjoy complaining about AI prose more than paying to solve it, leading to weak monetization despite strong engagement.
  2. 2The model may misclassify authentic but awkward writing, creating trust problems that are hard to recover from.
  3. 3Platform changes and anti-scraping restrictions could make reliable browser support expensive to maintain.

Résumé des preuves

Comment l'IA a synthétisé cet aperçu — pas de citations textuelles

The strongest signal in the discussion is repeated frustration with machine-like prose and wasted reading time. Roughly a dozen commenters described wanting filtering, reporting, or de-emphasis of likely AI-written content, and one person had already built a personal workaround. Existing options were mentioned, but users still debated quality, fairness, and portability across sites, suggesting room for an independent cross-site product.

1 1 publication analysée5 5 canauxAI · Synthétisé par IA · pas de citations

Plan d'Action

Validez cette opportunité avant d'écrire du code

Prochaine Étape Recommandée

Construire

Signaux de demande forts. Vraie douleur et volonté de payer détectées — commencez à construire un MVP.

Kit de Textes pour Landing Page

Textes prêts à coller, basés sur le langage réel de la communauté Reddit

Titre Principal

AI Slop Filter Browser Extension

Sous-titre

Build a browser extension that scores articles and posts for likely low-value AI writing, then hides, grays out, or summarizes them before the user wastes time. The winning angle is not just detection, but user control and nuance: separate AI-polished human writing from generic filler and allow community feedback loops.

Pour Qui

Pour Heavy readers of technical and professional content, including developers, analysts, researchers, and knowledge workers who consume high volumes of online articles and discussion threads.

Liste des Fonctionnalités

✓ On-page AI-likelihood and verbosity score ✓ Auto-gray or hide setting for low-value content ✓ One-click community feedback to improve detection ✓ Fast extractive summary for borderline content ✓ Site-specific rules and allowlists

Où Valider

Partagez votre landing page sur r/HN · front_page — c'est exactement là que ces points de douleur ont été découverts.

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Questions fréquentes

Qui rencontre ce problème ?
Heavy readers of technical and professional content, including developers, analysts, researchers, and knowledge workers who consume high volumes of online articles and discussion threads.
Est-ce une réelle opportunité ?
Cette opportunité obtient un score de 82/100 selon la métrique composite de Pain Spotter (intensité du problème, propension à payer, faisabilité technique et viabilité). Validez-la davantage avant d'y consacrer du temps de développement.
Comment dois-je la valider ?
Menez 5 entretiens de découverte client avec le public cible, publiez une landing page avec une liste d'attente, et vérifiez l'activité récente sur le post source lié avant de commencer le développement.