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© 2026 IdeaWaveRevenue data updated Sep 1, 2026
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Plugin · B2C · Aug 18, 2026

Verified revenuePerfect TimingMassive MarketProduct ReadyClear Distribution

News Bias Scorer for Chrome - Sentence-Level Political Lean

Browser extension that highlights political bias in news articles at the sentence level with source comparisons

Strongest signals: Problem 10/10 (severe pain) · Opportunity 9/10 (exceptional)

83/100

IdeaWave Score

Evidence 100

how it's scored
OPPPAINTIMEFEASGTMREV

Opportunity

9/10 · exceptional

Problem

10/10 · exceptional

Timing

7/10 · strong

Feasibility

7/10 · strong

Go-to-market

7/10 · strong

Revenue

10/10 · exceptional

Revenue

$$$

$1M–$10M ARR potential

Build

4/10

2–3 week MVP

Go-to-market

7/10

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Dossier

  1. 01Verdict
  2. 02Demand signal
  3. 03Scorecard
  4. 04The opportunity
  5. 05Why now
  6. 06The gap
  7. 07Proof & signals
  8. 08Proven revenue
  9. 09Frameworks
  10. 10Execution
  11. 11Community
  12. 12At a glance

02Demand signal

The keywords that prove it

media tools

Fastest growing

Volume

480

Growth

-18.6%

Competition

LOW

Open in Google Trends

Aug 1, 2025

search volume
590

Aug → Jul · 12-month window

+1 more keyword with 12-month trend charts and Google Trends links — free account

03Scorecard

How it scores

Opportunity9/10

Exceptional

Search interest of ~690/mo with up to 0% growth.

Problem10/10

Severe Pain

8 active communities discussing this, with real complaints.

Feasibility7/10

04The opportunity

What to build

Problem: News readers who worry about filter bubbles have no fast, in-context way to judge how a specific article is slanting them. Existing tools like AllSides rate whole outlets, but bias operates at the sentence level - a single article from a 'center' outlet can contain loaded framing, selective quotes, and emotionally charged word choices. Readers either take the outlet's overall rating on faith or manually cross-check other sources, which almost nobody does.

Named product: LensLine - a Chrome extension that highlights political bias inside the article you are actually reading, sentence by sentence, and surfaces how other outlets are covering the same story.

Solution: LensLine parses the current article, scores each sentence for lean and loaded language, and color-codes the text inline. Clicking a flagged sentence shows why it was flagged (framing, adjective choice, source attribution) and links to how left, center, and right sources described the same event. Instead of a static outlet grade, the reader gets a live annotation layer over the content in front of them.

MVP: A Chrome extension that (1) extracts article text from major news domains, (2) runs sentence-level lean and loaded-language scoring, (3) renders inline highlights with a summary bias meter, and (4) offers a 'compare coverage' panel that pulls headlines on the same topic from a spread of sources. Ship the free version limited to a handful of articles per day.

Revenue: Freemium. Free tier caps daily article scans and source comparisons. Paid tier (a few dollars per month) unlocks unlimited scans, full source-comparison panels, saved history, and export. Sell via a creator-commerce style checkout rather than building heavy billing infrastructure, mirroring how comparable indie tools monetize.

GTM: Launch where media-bias debate already happens - Hacker News (the community has an active thread on Media Bias Fact Check), plus reply-guy presence on YouTube bias-explainer videos and political subreddits. The extension itself is the demo: a screenshot of a familiar article lit up with sentence-level highlights is inherently shareable.

Growth loops: Every highlighted article is a screenshot ready for social sharing during news cycles. A 'share this bias breakdown' button turns any hot political story into distribution. Users who compare coverage naturally send links to friends arguing about the same article.

The full deep dive needs a free account

  • +Every keyword's 12-month trend + one-click Google Trends
  • +Why now: the timing analysis
  • +Why incumbents miss it
  • +Proof & signals with clickable sources
  • +Real businesses already earning this (verified MRR)
  • +Value equation, market matrix, and pricing ladder
  • +The execution plan, step by step
  • +Community demand map
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12At a glance

Categorization

Type

Plugin

Market

B2C

Target

news readers concerned about filter bubbles

Main competitor

AllSides

The demand picture is mixed and worth stating plainly. The two closest keywords are declining: 'media tools' at volume 480 with -18.6% growth and 'news bias checker' at volume 210 with -19% growth. That is small and shrinking search intent, a real risk for a search-dependent acquisition model. Offsetting this, cultural interest is high in video and forum form - multiple YouTube videos debating legacy and liberal media bias, and an active Hacker News thread on Media Bias Fact Check. The implication: do not rely on SEO. Growth has to come from shareable, in-the-moment artifacts during news cycles and from community seeding, not from people searching a low-volume, declining keyword.

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Sep 1, 2025

search volume
590

0%

Oct 1, 2025

search volume
720

+22%

Nov 1, 2025

search volume
480

-33.3%

Dec 1, 2025

search volume
480

0%

Jan 1, 2026

search volume
590

+22.9%

Feb 1, 2026

search volume
480

-18.6%

Mar 1, 2026

search volume
720

+50%

Apr 1, 2026

search volume
480

-33.3%

May 1, 2026

search volume
480

0%

Jun 1, 2026

search volume
480

0%

Jul 1, 2026

search volume
480

0%

Manageable

Build difficulty estimated at 4/10.

Why Now7/10

Great Timing

Comparable revenue is growing up to 7% month over month.

Execution difficulty4/10

Weak

Estimated build complexity.

Go-to-market7/10

Strong

2 reachable channels identified.

Revenue potential

$$$

$1M–$10M ARR potential

Evidence trail · sources behind every score

Media Bias Fact Check: Hacker NewsLaunch HN: DAGWorks – ML platform for data scie…Liberal Media Bias: The FactsPostiz revenueGumroad revenue