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AI Slop Filter Browser Extension
A consumer browser extension can score and hide likely low-value AI-generated posts across feeds, comments, and article pages. The strongest value proposition is time savings and attention protection, not perfect attribution.
Pourquoi c'est important
You spend hours reading discussion threads, articles, and social feeds, only to realize halfway through that much of the content is generic, repetitive, or machine-shaped. Manual spotting is inconsistent, and once you suspect everything, even thoughtful human writing starts to feel suspect. What you really want is a lightweight filter that helps you triage attention in real time. Existing detectors mostly return a raw score on pasted text, which is too much work for day-to-day browsing and does nothing to reduce the actual reading burden. A browser-side product that quietly labels, blurs, or hides likely low-value content solves an immediate attention problem even if it never proves authorship with certainty.
- · Conçu pour Heavy readers, researchers, developers, and knowledge workers who consume large volumes of online text and want to filter low-signal content before reading it..
- · Monétisation la plus probable : Freemium.
La douleur · Récit
You spend hours reading discussion threads, articles, and social feeds, only to realize halfway through that much of the content is generic, repetitive, or machine-shaped. Manual spotting is inconsistent, and once you suspect everything, even thoughtful human writing starts to feel suspect. What you really want is a lightweight filter that helps you triage attention in real time. Existing detectors mostly return a raw score on pasted text, which is too much work for day-to-day browsing and does nothing to reduce the actual reading burden. A browser-side product that quietly labels, blurs, or hides likely low-value content solves an immediate attention problem even if it never proves authorship with certainty.
Détail du score
Signal du marché
Mise sur le marché
English-speaking power users who read high-volume discussion and social content daily and already use ad blockers, read-it-later tools, or research helpers.
~200K active globally in the initial niche
Twitter dev community
$5/month
500 installs and 25 paying upgrades within 30 days from one launch thread and one demo video
Périmètre MVP · 1–2 semaines
- Train a baseline text classifier on public human vs modern model outputs with clear short-text and long-text buckets
- Build a Chrome extension that sends visible page text to a local or hosted scoring endpoint
- Add simple UI states for label, blur, and hide actions
- Create a settings page with sensitivity slider and per-site enable toggle
- Instrument anonymous events for score usage, hides, and user feedback
- Add paragraph-level scoring to article pages and post-level scoring to common feed layouts
- Implement user feedback buttons for false positive and false negative collection
- Ship a privacy mode with local inference for short text where feasible
- Add allowlists for domains and authors plus quick keyboard shortcuts
- Publish a landing page with benchmark caveats and install funnel analytics
Différenciation
Pourquoi cela pourrait échouer
Auto-contre-argument — le signal de confiance le plus important
- 1Detection quality may degrade quickly as mainstream models change style, making the product feel noisy within months.
- 2Users may not pay for a convenience feature if free community alternatives provide acceptable filtering.
- 3False positives on strong human writing could trigger backlash and erode trust faster than incremental accuracy improvements can repair it.
Résumé des preuves
Comment l'IA a synthétisé cet aperçu — pas de citations textuelles
Around a dozen comments converged on the same theme: people expect online text volume to rise and want automatic help filtering it. Several participants believed current mainstream model output still has practical tells, while others warned that confidence must be limited. The strongest commercial signal is not forensic certainty but attention management. One commenter even pointed to an existing extension, validating demand and the form factor.
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
A consumer browser extension can score and hide likely low-value AI-generated posts across feeds, comments, and article pages. The strongest value proposition is time savings and attention protection, not perfect attribution.
Pour Qui
Pour Heavy readers, researchers, developers, and knowledge workers who consume large volumes of online text and want to filter low-signal content before reading it.
Liste des Fonctionnalités
✓ On-page paragraph and post scoring ✓ Hide, blur, or label likely AI-generated content ✓ User-adjustable sensitivity with whitelist rules ✓ Local or privacy-preserving inference option ✓ Feedback loop for mistaken classifications
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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