01 — Problem
The friction
Marketing teams react late because signal is buried in endless feeds.
MarketPulse
MarketPulse listens across the noise — social, news, competitors — and turns it into campaign-ready insight. Trends surface early; briefs stay sharp; strategy stays current.
- Signal latency
- −80%
- Brief prep
- −3 hrs
- Themes tracked
- 120+
Demo
See it in motion
A short walkthrough of the agent loop — from signal in to decision out.
Demo reel
Weekly market pulse digest
Overview
Case at a glance
Target users: Growth, brand, and competitive intelligence teams.
02 — Solution
The approach
A market intelligence agent that continuously scans channels, clusters emerging themes, and ships campaign briefs marketers can act on.
03 — Value
Why it matters
Earlier trend detection and a sharper weekly strategy loop.
How it works
The agent loop
From raw signal to a decision MarketPulse can defend.
- 01
Listen
Sweeps social, news, and competitor surfaces on a schedule, snapshotting every page it reads.
- 02
Cluster
Groups raw mentions into themes so the team reads narratives instead of link dumps.
- 03
Interpret
Weighs each theme by momentum and source quality, and states its confidence explicitly.
- 04
Brief
Turns the surviving signals into angles, audience cues, and risks for the coming week.
Capabilities
What MarketPulse actually does
Built for Growth, brand, and competitive intelligence teams.
- 01
Cross-channel scans
Monitors social, news, and competitor surfaces for emerging motifs.
- 02
Theme clustering
Groups signals into actionable narratives instead of raw link dumps.
- 03
Campaign briefs
Turns insight into angle suggestions, audience cues, and risk notes.
- 04
Threshold alerting
Pings the team when a competitor move or trend crosses a materiality bar.
Architecture
How the system thinks
Data flows left to right: sources feed the orchestrator, specialists reason in parallel, tools execute, and one artifact comes out.
Sources
- DataSocial streams
- DataNews feeds
- DataCompetitor sites
Orchestration
- OrchestratorIntel orchestrator
- LLMReasoning LLM
Specialists
- AgentScanner agent
- AgentAnalyst agent
Tools & output
- ToolClustering
- ToolAlerting
- OutputWeekly brief
- Data
- Orchestrator
- LLM
- Agent
- Tool
- Output
In action
A real exchange
An abbreviated conversation, close to what the agent actually returns.
MarketPulse Session active
- You
Anything new on our main competitor this week?
- MarketPulse
Two things worth attention. They quietly restructured pricing tiers on Tuesday — the enterprise floor moved up roughly 20% — and three of their engineers started posting about an agent framework.
- You
How confident are you on the pricing change?
- MarketPulse
High: I diffed the page against last week's snapshot. The hiring signal is much weaker at three data points, so I would wait a week before acting on it.
Design decisions
Trade-offs worth naming
The constraints that shaped the system — and what was deliberately left out.
- 01
Signal over volume
The brief is capped in length on purpose. Anything that does not change a decision gets dropped rather than summarized.
- 02
Snapshot everything
Pages are stored and diffed over time, so claims about competitor changes are provable instead of remembered.
- 03
Confidence stated up front
Every theme carries a confidence level, because a weak signal presented firmly is worse than no signal.
Honest limits
Where it stops, where it goes
What the agent does not handle today, and what comes next.
Current limitations
- Coverage is limited to public sources.
- Sentiment on low-volume topics stays noisy.
- No ingestion of paywalled analyst research.
On the roadmap
- Share-of-voice tracking over time
- Correlation with campaign performance data
- Analyst-grade source weighting
Stack
Technology
Nothing added without a concrete requirement behind it.
PythonLangGraphOpenAISupabaseNuxt