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Mindscast is your AI content-marketing employee that actually knows your product. It first builds a Product Context Document (PCD) — a working memory of your features, proof, pricing, customers, pains, competitors, and forbidden claims — then turns that memory into LinkedIn and X content you can approve.

3 ingest paths · ~30-second grounded extraction · 0 hallucinated features internal benchmarks, July 2026

Extracting your PCD is free — passwordless sign-in, no card required.

01 REVEAL

Before Mindscast writes, it learns what you sell and why people buy.

The PCD is the product memory a good marketer would build before writing: what the product does, who feels the pain, what proof exists, who you compete with, and what claims are off-limits. The graph matters because content should start from a real customer problem and trace back to approved product facts.

Sample Product Context Document narrative graph A product connects to features, audiences, pains, proof points, competitors, and forbidden claims. Clicking a node highlights related edges.

SELECTED CHAIN

Mindscast → feature → buyer pain → proof

Click any node to see the narrative chain Mindscast would use to explain its own product.

Read the sample PCD as text — 14 nodes, 14 narrative chains

The same content the interactive graph shows, in plain text: every node of the sample Product Context Document, and the narrative chain Mindscast would use to explain it.

  • Mindscast product

    Mindscast PCD: one product memory, many narrative paths

    This simplified PCD shows how Mindscast explains itself: features sit together, audiences and pains sit together, proof and guardrails stay connected, and the dashboard turns the graph into a daily workflow.

    Product → features → audiences/pains → proof + guardrails

  • PCD builder feature

    PCD builder → generic-post pain → founder-led team

    The PCD builder extracts features, pricing, proof, audience pains, differentiators, and forbidden claims before writing. That is why Mindscast does not start from a blank prompt.

    PCD builder → solves generic AI posts → founder-led team

  • Asset parsing feature

    Asset parsing → asset chaos → reusable content inputs

    Mindscast should understand more than text. Multimodal asset parsing turns screenshots, creative assets, product images, and source files into recognized product facts and usable campaign material.

    Asset parsing → solves asset chaos → feeds grounded campaigns

  • Grounded posts feature

    Grounded posts → trust pain → proof

    Posts are generated from approved PCD facts. The product claim, buyer pain, and proof point stay connected, so users can see why a post says what it says.

    Grounded posts → solve untrusted claims → cite 0 fake features

  • Dashboard feature

    Dashboard → daily publishing workflow → less manual prompting

    The dashboard makes the PCD operational: review grounded drafts, schedule LinkedIn/X content, inspect proof, and keep campaigns moving without rebuilding context every time.

    Dashboard → review/schedule → consistent founder-led publishing

  • Founder-led team audience

    Founder-led team → pains → Mindscast features

    The target user is a small team or solo founder that needs consistent product marketing without hiring an agency or prompting a generic model every day.

    Founder-led team → generic posts + untrusted claims → PCD + grounded posts

  • Solo marketer audience

    Solo marketer → asset chaos → multimodal product memory

    A small marketing team has screenshots, landing pages, pitch decks, and product visuals scattered everywhere. Mindscast should recognize those assets and make them reusable in campaigns.

    Solo marketer → asset chaos → asset parsing

  • Generic posts pain

    Pain: generic AI posts

    Generic posts happen when the model does not know the product. Mindscast fixes that by extracting the PCD first, then writing from approved product memory.

    Generic AI posts → solved by PCD builder → Mindscast

  • Asset chaos pain

    Pain: asset chaos

    Product teams already have useful visuals, screenshots, launch assets, and proof artifacts. Multimodal parsing helps Mindscast identify what each asset shows and where it belongs in the product story.

    Asset chaos → asset parsing → recognized campaign material

  • Untrusted claims pain

    Pain: untrusted claims

    A founder cannot publish claims that invent proof, pricing, or capabilities. Mindscast writes from grounded PCD chains and keeps unsupported claims out.

    Untrusted claims → grounded posts → proof + guardrails

  • 0 fake features proof

    Proof point: 0 fake feature ids

    This proof makes the product promise concrete: Mindscast can reject generated content that references features not present in the PCD, and asset-derived claims still need evidence.

    0 fake features → supports grounded posts + asset parsing

  • Product memory differentiator

    Differentiator: product memory beats prompt-only AI

    Mindscast's differentiator is not just better wording. It keeps a structured product memory that connects features, assets, pains, proof, competitors, and forbidden claims.

    Product memory → compared against prompt-only AI

  • Prompt-only AI competitor

    Alternative: prompt-only AI

    Prompt-only AI can write fluent copy, but it does not maintain product memory, source links, buyer pain chains, or forbidden-claim guardrails by default.

    Prompt-only AI → compared with grounded posts

  • No invented proof guardrail

    Guardrail: no invented proof

    Forbidden claims are part of the PCD. They stop Mindscast from using impressive but unapproved proof, numbers, integrations, or outcomes.

    No invented proof → protects product trust

A PCD is not a database for engineers. It is the product memory your AI marketer uses to choose an angle, cite proof, and stay inside approved claims.

URL

Paste your homepage. We crawl pricing, features, about, and docs — ~30 seconds to a full graph.

GitHub

Install the GitHub App and pick the files that describe your product. Read-only, repo-scoped.

MCP highest fidelity

Your own Claude Code / Cursor / Codex reads the repo locally and uploads only the structured PCD you approve. Source code never leaves your machine.

02 POWER

The spec sheet.

Product outcomes from our July 2026 extraction and grounding benchmarks.

SpecMeasuredSource
Time to product memory25–42 s4-site homepage benchmark
Relevant feature selection100%marketing-filter benchmark; 3.3× over raw LLM
Invented feature references0post-generation hard-filter validation
Evidence relationship precision82%hand-audited, 5-provider benchmark
Source-page price captureVerbatimtested across subscription, usage-based, and transaction pricing

When a source page includes a product price, Mindscast preserves the published amount and wording instead of rounding or rewriting it. We tested this across subscription, usage-based, and transaction pricing in our cross-industry extraction trial.

03 LAUNCH LINEUP

It writes like a marketer who has read the product brief.

Mindscast turns each graph chain into a marketable angle: pain first, product fact second, proof when available, and a CTA tied to why that customer buys. You approve the product memory once; every post stays inside it.

LinkedIn

ANGLE: fear of surprise cloud bills after shipping fast

Shipping AI code faster is great until a hidden cryptominer turns Saturday into a cloud-bill incident. Mindscast would make the product story concrete: kernel-level eBPF detection catches the behavior code review missed, and the rollback fix is one click away.

From PCD chain: eBPF detectioncryptominer cloud billfunded startup team

X

ANGLE: founders need investor language without consultant pricing

A founder does not need another spreadsheet template. They need the valuation story an investor can understand. The post can lead with the pain, then cite the real product fact: 9 valuation models in one report, from pre-seed to Series B, priced at €30 instead of a €25k advisory bill.

From PCD chain: 9 valuation modelsvaluation cost too highearly-stage founder

LinkedIn

ANGLE: compliance deadline as a reason to start practical AI training

A compliance post does not need to sound like a legal memo. It can start where the buyer is: Article 4 is already in force, the team has not started, and the offer is training that satisfies the obligation while teaching people what AI can actually do.

From PCD chain: AI literacy trainingArticle 4 obligationcompliance-conscious SME

04 EDITIONS

Hire your content-marketing employee.

A part-time content marketer runs $1,000+/month. A Mindscast employee that actually knows your product starts at €29.

SOLO

The complete product-grounded workflow

€29/month

Pay monthly after your 14-day trial.

MONTHLY ALLOWANCE 60 generated posts per calendar month Applies during the 14-day trial and throughout paid Solo. One LinkedIn or X draft uses one post; generating both uses two.
PRODUCT MEMORY Multiple product PCDs URL, GitHub, and local MCP extraction remain free to use and edit.
WORKFLOW Strategy, generation, review, and publishing The same features are available during the trial and paid subscription.

14 days of the complete Solo plan

€0 today. Card required; then €29/month after the trial.

Start 14-day trial

Cancel before the trial ends and pay nothing · checkout secured by Stripe

Solo billing options

  • Monthly €29/month Pay monthly after your 14-day trial. €0 today. Card required; then €29/month after the trial.
  • Annual €290/year Equivalent to €24.17/month, billed yearly. Save €58 each year. €0 today. Card required; then €290/year after the trial.

What's free, forever: extracting and editing your PCD — from a URL, a GitHub repo, or your local coding agent via MCP. The trial gates content generation, not understanding your product.

05 FAQ

Questions, answered.

How does Mindscast avoid AI hallucinations in marketing posts?

Every post is generated from a Product Context Document (PCD): the product memory Mindscast builds from your own sources. It contains approved features, buyer pains, proof points, pricing, competitors, and forbidden claims. A post-generation hard filter drops any feature id not present in that memory. In our benchmark the marketing filter reached 100% on-topic feature selection, 3.3× better than handing a raw LLM the full context.

Can Mindscast read a private repo without uploading my code?

Yes. The MCP ingest path runs inside your own Claude Code, Cursor, or Codex session: your local LLM reads the repo on your machine and uploads only the structured PCD JSON you approve. Source code never leaves your laptop.

What is a Product Context Document (PCD)?

A PCD is the working product memory a good marketer would build before writing: 15–30 features with proof points, audience segments with their pain points, competitor differentiators, verbatim pricing, and the claims you never want marketing to make. Posts trace claims back to approved facts in that memory.

What are the three ways to create a PCD?

URL crawl (paste your homepage, ~30 seconds), GitHub App (pick files from a public or private repo), or MCP (your local coding agent extracts from the full repo — highest fidelity, code never leaves your machine).

How much does Mindscast cost?

Solo is €29/month or €290/year. Both include up to 60 generated LinkedIn and X drafts per calendar month and multiple product PCDs. The same monthly allowance applies during the 14-day trial and throughout the paid subscription; it is not a trial-only allowance. A draft generated for both LinkedIn and X counts as two posts.

Does the free trial require a credit card?

Extracting and editing your PCD is free and needs no card. The 14-day trial — which unlocks content generation and publishing — collects a card at checkout via Stripe; cancel anytime during the trial and you pay nothing. We say this up front because surprise charges are exactly the kind of claim we'd put on a forbidden list.

Which platforms can Mindscast publish to?

LinkedIn and X (Twitter) natively, with human-in-the-loop review gates before anything is published.

How fast is PCD extraction?

A product homepage ingested in 25–42 seconds in our July 2026 four-site benchmark. The result is an editable Product Context Document containing the product facts and relationships Mindscast uses for content generation; extraction time varies with site size and crawlability.

Does Mindscast work for products without written docs?

Yes — the URL path crawls your homepage plus pricing, features, about, and docs pages. In a July 2026 trial across tally.so, elevenlabs.io, posthog.com, and lemonsqueezy.com, every crawlable site passed the full extraction quality baseline, including verbatim capture of subscription, usage-based, and transaction pricing.