TrendIntel vs Feedly

Feedly tracks what is happening.
TrendIntel tracks what is coming.

A well-executed content intelligence layer. Tells you what is being published — does not tell you what is emerging from the structural signals underneath publishing.

Feedly catches trends

When topics appear in blogs and news articles — Stage 3–5

TrendIntel catches trends

Stage 0–1, from signals that precede any article being written

Side by side

Feature
TrendIntel
Feedly
Data sources
49 sources · 1,212 total dispatches
Blogs, news sites, newsletters, RSS feeds, select social content
Source count
1,212
Millions of RSS/news sources
Pricing
Free to start · Paid from $29/mo
Freemium (Pro ~$6/mo); Market Intelligence from $1,600/mo
Academic signals (arXiv, etc)
Developer signals (GitHub, HN, npm)
Government contracts & grants
Prediction market signals
Patent signals
Semantic clustering (ML)
Propagation stage tracking
Six-dimensional scoring
AI opportunity briefs
Watchlist alerts
AI trend chat
Self-serve access

Based on publicly available information as of May 2026.

Where Feedly falls short

Why the signal window matters

1

Content aggregation is not trend detection

Feedly surfaces what is being published. TrendIntel detects what is emerging — from developer activity, academic research, package adoption, and government procurement — signals that precede publication by months. By the time Leo highlights a topic in your feed, TrendIntel has likely tracked it through multiple propagation stages already.

2

No developer, academic, or government signals

Feedly's Leo AI has no awareness of GitHub velocity, HackerNews discussion patterns, arXiv preprint volume, patent filings, SBIR grants, or federal contract awards. These are the inputs TrendIntel uses to score trends at Stage 0–1, months before any article is written.

3

Keyword-configured, not autonomously discovered

Feedly requires you to configure feeds and topics you already know to track. TrendIntel autonomously discovers emerging topics through semantic clustering of 2,000,000+ monthly signals — it surfaces what you did not know to look for.

4

No scoring, staging, or opportunity output

Feedly organizes and summarizes content. TrendIntel scores every topic cluster across six dimensions, tracks its lifecycle stage, generates AI opportunity briefs with specific product hypotheses, and fires watchlist alerts when scores cross your defined thresholds.

The signal difference

1,212 total dispatches · 49 source integrations

Academic research and developer activity precede startup formation. Startup formation precedes social breakout. Social breakout precedes search volume. Search volume precedes media coverage.

Feedly monitors Millions of RSS/news sources sources — mostly at the consumer-facing end of that chain. TrendIntel monitors 1,212 sources across the entire chain, scored by a six-dimensional pipeline running every hour.

Stage 0–1
Academic & developer signals
arXiv, GitHub, HN, npm, PyPI, Semantic Scholar
Stage 1–2
Government & patent signals
SBIR, NIH, NSF, USASpending, USPTO
Stage 2–3
Startup & market signals
Product Hunt, YC, SEC EDGAR, Adzuna jobs
Stage 3–4
Social & community signals
Reddit, Bluesky, Mastodon, YouTube, podcasts
Stage 4–5
Search & media signals
Google Trends, NYT, Guardian, GDELT

Feedly is best for

Research and security teams that need to stay current with a large volume of known sources and topics.

TrendIntel is best for

Founders and strategists who need to discover topics they did not know to look for — and understand the opportunity before publishing catches up.

See what Feedly is missing

Live dashboard. 1,212 sources. Hourly scoring. Free to start.

No credit card required · No sales call