Trend Detection
Spot emerging topics in real time as they form across social conversations.
Tag101
From Social Noise to Semantic Intelligence
A decentralized network turning social posts into structured semantic signals.
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How it works
From posts to proven intelligence
- INGESTPosts
Curated social posts from across social media.
- LABELTags
Decentralized tags with descriptive keywords and concepts.
- CLUSTERSemantic Clustering
Similar tags are embedded and grouped into clusters.
- SCOREScored Intelligence
Trusted clusters become structured semantic signals.
Consensus Snapshot
One post, Six verdicts
ai diffusion
Score
0.8289
Tag Volume
206 tags
Top Tags
ai diffusionai diffusion reliabilityartificial intelligence
Source Signal
“How do we map the real transformation of knowledge work? Join @DigEconLab on May 18 as @Princeton CS Prof. Arvind Narayanan (@random_walker) explores AI diffusion, reliability vs. capability, and preparing for a world where cognitive labor is automated.”View original post →
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Why it matters
The signal inside social noise
Market Intelligence
Turn fragmented social discussion into structured signals for research and decision-making.
Semantic Search
Search by meaning, context, and relationships — not just keywords.
Decentralized Labeling
Build high-quality semantic labels at scale through collective intelligence.
Roadmap
Where the network is heading
01
Tag ConsensusLive
Establish the foundation for semantic consensus and baseline scoring.
02
LLM-Based ScoringPlanned
Use advanced language models to evaluate semantic relevance, quality, and contextual fit.
03
Insight TagsPlanned
Move from direct topic tags to deeper insight tags, capturing implications and semantic relationships.
04
Open Intelligence APIPlanned
Turn scored semantic signals into accessible APIs for builders, analysts, and autonomous agents.