Before Manual research
- Screenshots expire and links break.
- Tabs and spreadsheets drift out of order.
- Teams lose the source behind each conclusion.
- Briefs are based on intuition instead of evidence.
Social intelligence radar
From a free-form question to an evidence-backed brief.
Research a niche, confirm the scope and receive prioritized signals with sources, collection states and actionable briefs.
Stop researching with screenshots, open tabs and loose notes.
The problem is not lack of content. It is not knowing which example supports each conclusion or which state it was collected in.
After Traceable radar
- Scope is confirmed before collection starts.
- Provider jobs show visible states.
- Evidence is normalized and linked to the source.
- Briefs point back to the examples that support them.
Understand first. Ask just enough. Then research.
FamaRadar does not start deep collection until platforms, market, language, period and depth are confirmed.
Free-form question
Describe the niche or problem in natural language, without operators or boolean syntax.
Confirmed scope
Adjust platforms, country, language, period, account type and manual sources.
Signal radar
Provider jobs, visible states, normalized evidence and scored opportunities.
Actionable brief
Hooks, ideas, script, caption, CTA and variants with notes to adapt without copying.
What a radar delivers
Every radar leaves a trail: from prioritized signal to the example that supports it.
Prioritized signals
Sorted by fit, velocity and evidence volume.
Traceable evidence
Each signal points to its raw record, snapshot, provider and confidence state.
Provider states
No hidden surprises: every route shows its real collection state.
Actionable briefs
Hooks, script, caption and CTA linked to the evidence used.
Boards and export
Save signals to boards and export JSON or CSV to preserve evidence.
Sources with visible state
Useful coverage, with limits in view
The promise is not every result from every platform. Each result shows provider, freshness, confidence and limitations. If a source is sample, partial or blocked, FamaRadar says it.
YouTube
conditional
Official route through YouTube Data API when a server-side API key and quota exist.
TikTok
conditional
Managed provider as the initial route. It can return partial data or need review.
Instagram
conditional
Managed provider and manual import. The Meta official route remains deferred.
Manual import
live
URLs, accounts, hashtags, CSV or JSON records provided by you, normalized as evidence.
Sample mode: controlled examples for validating the flow, API, CLI and MCP. Sample state, no live data.
Traceability is the methodology
We publish how a query is interpreted, how signals are scored and what limits each source has.
Explainable scoring
Fit, velocity, repeatability, saturation, recency and evidence volume.
Freshness and confidence
Each evidence item shows its state: ok, partial, blocked, rate_limited or stale.
Adapt without copying
Briefs include anti-copy notes to keep the format without replicating the content.
For humans and agents
Research from the dashboard or integrate the radar into your own workflows.
DashboardResearch, review evidence and generate briefs.
APIIntegrate radars into your products.
CLISmokes, imports and benchmarks.
MCPOperate FamaRadar from agents.
ExportJSON or CSV to preserve evidence.
Open your first radar
Write a question, confirm the scope and let FamaRadar gather signals with their evidence.