The problem
Not because your company isn't doing impressive work. Because the work lives in Jira. In GitHub. In Gong. In Notion. In Slack channels that archive and disappear.
The pull requests your engineers merge every week contain product stories. The calls your sales team records every day contain the exact language buyers use when they decide to move forward.
All of it is structured data, sitting unused. Code to Content reads it and finds the signal, so you don't have to.
How it works
Your crowd isn't the only thing producing content. Every system your team touches generates raw material for content, and most of it goes uncaptured.
See a live demoConnect the systems where your company works.
GitHub, Notion, Gong, Jira, your CMS, your video archive, your newsletter history. You define exactly what Code to Content can read: by tool, by folder, by permission level.
Code to Content learns what matters.
It reads activity, finds the signal inside it, and surfaces the content opportunities buried inside your daily operations. Every item is matched against your brand knowledge, your customers, and your past content.
MarketScale turns it into content.
Release notes. Blog drafts. Podcast topics. Web copy updates. Social posts. Expert interview briefs. Customer education pieces. Each one traces back to a real source event.
You approve what becomes public.
Nothing sensitive. Nothing raw. Nothing unreviewed. Every piece routes through your existing approval workflow. The AI finds the signal. A person decides what it becomes.
The star use case
A pull request gets merged. Code to Content reads the title, the description, the linked issue, the changed files, the commit messages, the reviewer comments, and the docs changes.
It asks: Is this customer-facing? What product area does it affect? Who should speak about it? What format should it become?
"That's one pull request. Your team merges dozens a week. The content has always been there. You just needed a system to find it."
Integration library
No new tools to learn. No new workflows to build. MarketScale plugs into the tools your team already uses and turns daily activity into content your marketers can actually publish.
Building your own pipeline? Read the API docs to push signals into Code to Content programmatically.
GitHub
DevelopmentFrom engineering activity to product story.
Pull requests, releases, README/docs, changelogs, issues, milestones, and repo structure. What ships becomes a story. What fixes a customer problem becomes a use case. What changes the architecture becomes a thought leadership brief.
Best outputs
Notion
KnowledgeFrom internal knowledge to market intelligence.
Product specs, strategy docs, customer notes, roadmap docs, FAQs, meeting notes, editorial calendars. Most of a company's best thinking is in Notion and never leaves. Code to Content reads what you've approved to share and turns it into customer-facing content.
Best outputs
Website / CMS
WebFrom existing copy to updated positioning.
Current website pages, blog posts, product copy, case study language, and FAQ content. Code to Content indexes what's already approved and public, building the canonical language map that informs everything else.
Best outputs
Gong
VoiceFrom customer conversations to content intelligence.
Call transcripts, recorded demos, objection patterns, buyer language, use cases, and outcome descriptions. Customers are describing the value you deliver in their own words. Code to Content finds the signal. MarketScale turns it into content that speaks the buyer's language.
Best outputs
Jira
Work managementFrom product activity to release intelligence.
Closed tickets, feature requests, sprint completions, and roadmap milestones. Every closed ticket is a problem solved. Every shipped feature is a customer story waiting to be told.
Best outputs
Linear
Work managementFrom cycles shipped to stories told.
Cycles and project completions feed Code to Content with structured product activity. Every shipped initiative is a content opportunity, matched to customer pain points and routed for approval.
Best outputs
Confluence
KnowledgeFrom internal docs to external education.
Product documentation, implementation guides, support docs, training content, and internal announcements. For technical and enterprise clients, the best customer education content is already written. It just lives in internal systems.
Best outputs
Google Drive
KnowledgeSurface what already exists before creating anything new.
Decks, strategy briefs, research docs, and positioning files. Code to Content indexes your Drive for approved content and builds it into your knowledge layer, so nothing gets repeated and nothing gets lost.
Best outputs
YouTube
VideoFrom your media archive to a content strategy.
Existing video content, past interviews, event recordings, product demos, and webinars. The video library most companies already have is a gold mine of structured expertise. Code to Content ingests it and identifies the strongest themes for new content.
Best outputs
From brand activity to performance intelligence.
Company posts, executive activity, engagement patterns, and topic performance. What's working on LinkedIn informs what goes into Code to Content. What's in Code to Content informs what gets posted on LinkedIn. The loop closes.
Best outputs
Slack
CommsFrom real-time thinking to curated intelligence.
Selected channels and tagged messages only. Slack contains the most current company thinking, but requires careful handling. Code to Content ingests Slack only from approved channels and through explicit tagging. No passive crawl.
Best outputs
Substack
NewsletterFrom thought leadership archive to Code to Content memory.
Published newsletters and past issues are already structured thought leadership. Code to Content imports them to extract voice, recurring themes, and audience interests, turning editorial history into a content intelligence layer.
Best outputs
What is genuinely novel
Company activity → Code to Content → approved knowledge → content opportunities → podcasts, articles, releases, web copy, social posts, internal media requests.
GitHub has APIs. Notion has APIs. Gong has APIs. That's not the product. The product is the packaged workflow that connects operational activity to a governed brand brain and turns it into content.
Most companies already have activity in all of these systems. But those systems don't naturally become content. They are operational exhaust. Code to Content turns that exhaust into structured, approved, reusable intelligence.
People creating content about the business.
Systems surfacing. People approving.
Marketing writing about what engineering ships.
Engineering activity becoming content automatically.
Quarterly content calendars.
Opportunities surfaced in real time, from real activity.
Knowledge trapped in internal tools.
Internal activity activated as market-facing content.
Use cases · by vertical
Different signals, same engine. Each walk-through names the ten signal streams the operation already produces and the formats each one becomes.
Get early access
Connect one source (GitHub, Notion, or your CMS) and we'll show you the content opportunities that were already there, waiting to be published.
