en

New ideaConsumer social

Rage Index

A browser extension and web app that measures how much of your feed is rage bait and AI slop, gives you a shareable Rage Score card, publishes a weekly public Rage Index of the most rage-farming accounts and topics, and sells a calm-feed filter and digest.

3 weeks ago · Scored 19 Oct 2026 · ID HBV-261019-04

Summary

BriefingHypothesis

New idea. Existence check: Two explicit product searches found no product with this exact angle (personal feed-level rage-bait % with share card + public weekly ranking of rage-farming accounts). Closest analogs: YourXScore (engagement score), ViralBrain slop roast (scores your own posts), superx roast, Ragebaited.com …

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(domain for sale with a post leaderboard); filters without a score/index: Smart Filter, Feedkeeper, unrager; YouTube AI-slop blocklist AiSList/AiBlock; kids channel grader VidCove. X: 135,817 posts/7d (Up 66% Mon→Fri (Mon 12,395 partial day → Fri 20,553; peak Fri 16 20,553)). Revenue hypothesis: ~$10K/month at month 12 (HYPOTHESIS: 1,500 Calm Pro × ~$4 + 4 weekly sponsor slots × ~$250).

Description

A browser extension and web app that measures how much of your feed is rage bait and AI slop, gives you a shareable Rage Score card, publishes a weekly public Rage Index of the most rage-farming accounts and topics, and sells a calm-feed filter and digest. Who: Heavy X, YouTube, TikTok and Facebook users who feel manipulated by outrage and AI slop; secondary: parents, and brands checking where their ads appear (self-serve API).…

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Pain: Feeds reward outrage and low-effort AI content; people feel worse, cannot measure it and cannot opt out cleanly. Monetization: Freemium: free Rage Score + weekly card; Calm Pro subscription (filter + calm daily digest); sponsor slots in the weekly public Rage Index newsletter priced with subscribers; later a self-serve brand-safety API (usage). No approved price. Build: 2–3 agent-weeks (extension that classifies on-screen posts, scoring API, share cards, weekly index pages); stack: Chrome/Firefox extension; Next.js on Vercel; small LLM classifier with caching; Postgres; Stripe; OG image cards. GTM: Shareable "My feed is 38% rage bait" cards (viral loop), weekly public index and per-account pages for SEO/GEO, faceless AI-persona posts on X, press-friendly data.

Target customer

Heavy X, YouTube, TikTok and Facebook users who feel manipulated by outrage and AI slop; secondary: parents, and brands checking where their ads appear (self-serve API).

Pain

Feeds reward outrage and low-effort AI content; people feel worse, cannot measure it and cannot opt out cleanly.

Why this score

Why it scored lower: Legal and reputational risk of naming accounts publicly, plus platform DOM changes breaking the extension.

MoatHypothesis

Public index + longitudinal dataset: A weekly public ranking becomes a cited reference (press, researchers, brands) and a recurring share moment. Months of labeled feed data and per-account history are hard to replicate quickly. Status: Hypothesis.

Demand signals

X posts (7 days)

135817

Signal trend

Up 66% Mon→Fri (Mon 12,395 partial day → Fri 20,553; peak Fri 16 20,553)

Web demandVerified

Rage bait is the single largest pain signal measured today (135,817 posts in 7 days); AI-slop complaints 4,520; AI content aimed at kids 1,137. Existing tools are filters or one-off roasts, not a score plus public index. Other X counts (same window, Verified X API): 4,520 posts: ("ai slop" OR "slop") (feed OR timeline …

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OR "for you" OR youtube OR tiktok OR facebook) -is:retweet | 1,137 posts: ("ai slop" OR "ai generated" OR "ai-generated" OR "ai videos") (kids OR toddler OR children OR "youtube kids" OR "my son" OR "my daughter") -is:retweet

Market and competitors

TAM

Not sized this run — Scope: Feed wellbeing and digital-wellbeing apps. Method: No third-party source fetched. (Basis: n/a)

SAM

Not sized this run — Scope: English-speaking heavy social users who install extensions. Method: Requires extension-store data (not fetched). (Basis: n/a)

SOMHypothesis

~$120K ARR (hypothesis) — Scope: Month-12 run-rate. Method: 1,500 × ~$4/month + ~$4.3K/month sponsors. (Basis: Low (hypothesis))

Competitors

Smart Filter, Feedkeeper, unrager (filters); YourXScore, ViralBrain, superx (scores/roasts of your own account); AiSList/AiBlock (YouTube AI-slop blocklist); VidCove (kids channel grader); Ragebaited.com (parked domain with post leaderboard); platform-native mute/"not interested" controls.

Business model

Monetization

Freemium: free Rage Score + weekly card; Calm Pro subscription (filter + calm daily digest); sponsor slots in the weekly public Rage Index newsletter priced with subscribers; later a self-serve brand-safety API (usage). No approved price.

Revenue hypothesis (monthly)Hypothesis

~$10K/month at month 12 (HYPOTHESIS: 1,500 Calm Pro × ~$4 + 4 weekly sponsor slots × ~$250).

Jobs to be done

When I close the app angry again after an hour of scrolling, I want to see exactly how much of my feed is rage bait and filter it out, so I can keep the useful parts of social media without feeling manipulated.

HXC

Jordan, 29, Chicago (illustrative) · Spends 3+ hours a day on X and TikTok, posts about quitting doomscrolling, already tried mute words. Buying signal: Would share a funny-but-true "your feed is 41% rage bait" card and pay a few dollars for a calm digest that keeps the good posts.

Build and go-to-market

Tech stack

Chrome/Firefox extension; Next.js on Vercel; small LLM classifier with caching; Postgres; Stripe; OG image cards

GTM channels

Shareable "My feed is 38% rage bait" cards (viral loop), weekly public index and per-account pages for SEO/GEO, faceless AI-persona posts on X, press-friendly data

Risks

Main risk

Legal and reputational risk of naming accounts publicly, plus platform DOM changes breaking the extension.

All risks

Value: Supported — 135,817 rage-bait posts/7d | Usability: Supported — Install-and-scroll flow | Feasibility: Attention — Platform DOM changes; inference cost | Business Viability: High — Defamation risk of naming accounts; low WTP

Next validation step

Ship the score card (no index) to a waitlist; target 1,000 shared cards in 14 days; add the public index only after a legal review of the methodology.

Sources

  1. X API counts (window above)
  2. product-existence web searches (19 Oct 2026)
  3. competitor sites: smart-filter, feedkeeper, unrager, yourxscore, viralbrain, superx, aisloplist.com, vidcove.io, ragebaited.com

newconsumersocialrage-baitai-slopfeed-wellbeingbrowser-extensionshare-cardindexnewslettersponsorship-slotsb2c

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  • New ideaConsumer social· 3 weeks ago

    Algorithm Mirror

    Upload a few screenshots of your feeds (TikTok For You, Instagram Explore, Pinterest, YouTube) and get an AI portrait of "who the algorithm thinks you are"; then invite friends to answer six quick questions and get a side-by-side "Algorithm vs Friends" card to share.

    Why it scored lower: Fad decay: the core X trend fell 67% from its peak within three days, so the friend-invite loop must carry growth after the trend moment.

    Open ProductBots.ai →

Research, not investment advice. Numbers keep the label they were published with.