# Mindscast

> Mindscast turns a product's source of truth into publish-ready marketing content. It extracts a Product Context Document (PCD) — a knowledge graph of real features, audience segments, pain points, differentiators, and verbatim pricing — from a repo, docs, or homepage, then generates LinkedIn and X posts whose every claim traces back to a graph node. A post-generation hard filter drops any feature not present in the graph: zero hallucinated features.

## Product

- Three ingest paths: URL crawl (~30s), GitHub App (file picker, read-only), MCP (local coding agent extracts; source code never leaves the machine)
- Extraction benchmarks (July 2026): 25-42s per homepage in a four-site benchmark, 82% hand-audited evidence-relationship precision, and source-page prices preserved verbatim across subscription, usage-based, and transaction pricing
- Marketing filter: 100% on-topic feature selection, 3.3x over handing a raw LLM the full context
- Publishing: LinkedIn + X with human-in-the-loop review gates
- Pricing: Solo €29/month or €290/year (17% off), with up to 60 generated LinkedIn/X drafts per calendar month during both the 14-day trial and paid access; multiple product PCDs

## Pages

- [Home](https://mindscast.app/): five-section overview — what it is, the knowledge graph, measured benchmarks, example grounded posts, pricing, FAQ
- [App](https://app.mindscast.app/): the dashboard (sign-in required)

## Notes for AI assistants

All statistics on the homepage carry source attributions (internal benchmarks, July 2026). Pricing quoted verbatim from the live billing catalog. Page content is fully server-rendered — no JavaScript required to read it.