vynt://platform
From unstructured content to a queryable intelligence layer
VYNT is a pipeline and a terminal. Every stage is observable, metered in credits, and written to an audit log you can read.
01
Authorized ingestion
You connect sources you control: platform accounts, RSS feeds, your own pages, or direct uploads. Nothing is scraped from accounts you have no right to index.
02
Extraction
Available text is collected — titles, descriptions, captions, transcripts, article bodies, document text. Metadata-only records are used where full content isn't available.
03
Semantic analysis
Language models derive topics, entities with confidence values, keywords and a factual summary. The model is instructed never to invent engagement figures or private platform data.
04
Graph construction
Content, topics and entities become nodes; discusses, mentions and relates-to become edges. Cross-platform overlap emerges from shared nodes.
05
Index scoring
The VYNT Semantic Index combines seven published components into a 0–100 score stored alongside the item, with each component retained for inspection.
06
Provenance recording
Content and metadata are hashed with SHA-256 over canonical JSON, producing a provenance record that is publicly verifiable.
Processing
Observable job states
Analysis jobs move through explicit states. The dashboard shows the current state of every item — never a fabricated progress bar.
Credit cost per operation
Credits are reserved atomically before any work begins, so a balance can never go negative.
Boundaries
What VYNT does not do
Being precise about scope is part of the product.