TrendIntel vs Exploding Topics

Exploding Topics tracks what is happening.
TrendIntel tracks what is coming.

A polished Google Trends wrapper. Catches trends once search volume is already rising — after the opportunity window has narrowed.

Exploding Topics catches trends

After search volume rises (Stage 3–4)

TrendIntel catches trends

3–9 months earlier, at developer and academic emergence (Stage 0–1)

Side by side

Feature
TrendIntel
Exploding Topics
Data sources
49 sources · 1,212 total dispatches
Google Trends, TikTok, Reddit, Spotify, Facebook, Amazon search volume
Source count
1,212
~5
Pricing
Free to start · Paid from $29/mo
From $39/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 Exploding Topics falls short

Why the signal window matters

1

Search volume is a lagging indicator

By the time a topic is "exploding" on Exploding Topics, it is already rising in Google search volume. That means founders, investors, and first movers have likely already noticed it. TrendIntel catches topics when they are still confined to developer forums, academic preprints, and package registries — before anyone is searching for them.

2

No academic, developer, or government signals

Exploding Topics has no awareness of arXiv preprints, GitHub topic velocity, npm/PyPI package adoption, SBIR grant awards, or USASpending.gov contracts. These are precisely the signals that appear 3–9 months before mainstream search interest. They are the mechanism by which trends begin.

3

No propagation stage or scoring pipeline

Exploding Topics classifies trends as "Regular," "Peaked," or "Exploding." TrendIntel scores every topic across six dimensions — velocity, propagation stage, saturation, opportunity, momentum, and predictive explosion probability — and tells you exactly where in the adoption lifecycle a trend sits and whether the window is still open.

4

No opportunity output — just a trending label

Exploding Topics tells you a topic is "exploding." TrendIntel tells you the stage it is in, what the opportunity score is, what the whitespace looks like, and generates an AI brief with specific product hypotheses for acting on it. The label is the start of analysis, not the end of it.

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.

Exploding Topics monitors ~5 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

Exploding Topics is best for

Content marketers and SEO teams who want to write articles about rising topics before they peak.

TrendIntel is best for

Founders, investors, and operators who need to know whether a market exists before they build or bet on it.

See what Exploding Topics is missing

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

No credit card required · No sales call