Every Commit Is a Content Opportunity
When you ship a feature, fix a critical bug, or hit a usage milestone, you have a story worth telling. Founders who build in public know this. The problem is turning the raw event into polished content across five platforms while staying in flow.
Growth Autopilot is built to close this gap. You capture the context in one sentence from your IDE. The agent handles drafting, platform adaptation, and scheduling.
What "Capture in the IDE" Means
The VibeCom MCP server runs inside Cursor, Claude Code, Codex, and any MCP-compatible editor. After , you can tell your editor about product events in plain English:
"Just shipped Stripe integration. Took two days, three edge cases with webhook retries. Save this for content."
The MCP server calls create_material with category launch, priority p0 (manual launches automatically get highest priority). The material lands in your library with your exact words.
The next morning's generate run picks it up. The agent reads your product context, your channel personas, and your recent post history, then drafts:
- An X thread: "Just shipped Stripe webhooks. The retry logic was the hard part..."
- A LinkedIn post: "Two days to integrate Stripe properly. Here's what the docs don't tell you..."
- A blog section: "Implementing Stripe Webhook Retry Logic: What We Learned"
You review and approve. The posts go live on your schedule.
Types of Events Worth Capturing
Feature launches: Any time you ship something meaningful — a new integration, a redesigned flow, a long-requested feature. Even small ones are worth capturing. "We added keyboard shortcuts" becomes "Why keyboard shortcuts changed how our power users work."
Metrics milestones: Revenue numbers, user counts, growth rates. "Just hit $1k MRR" or "100 users in 60 days with zero paid ads." These are high-performing posts because they're specific and real.
Technical learnings: The bugs you fixed, the architectural decisions you made, the edge cases you discovered. Developers and founders follow founders who share the messy reality of building.
Failed experiments: Posts about what didn't work often outperform posts about what did. "We tried X and it flopped — here's why" is more trustworthy and more interesting than another success story.
Competitor observations: When you notice a competitor shipping something new, pivoting their pricing, or getting press. "Noticed [Competitor] just changed their onboarding — interesting move given their ICP..."
How Priority Works
When you create a material manually (from your IDE or from the ), it automatically gets p0 priority for categories that are time-sensitive: launches, metrics, and stories.
p0 materials are used first in the next generate run. This means your most important content — the real product events — gets turned into posts within 24 hours of capture, before the signal gets stale.
Auto-collected materials (industry news, competitor activity) get p1 by default and are used as filler between your p0 events.
The Build-in-Public Workflow
The highest-performing founders on X and LinkedIn share a pattern: they post frequently, with specifics, about the actual experience of building. Not "excited to announce X" but "here's what shipping X taught me."
Growth Autopilot is designed for this style. The agent is instructed to reference real details from your materials, avoid generic AI phrasing, and write like a founder talking to peers — not a company talking to customers.
The system also checks your post history before generating, so you won't see five variations of the same "just shipped" post in one week. Category diversity is built in: news, story, metric, and launch posts are interleaved automatically.
From IDE to Published: A Full Example
Monday 10 AM: You fix a longstanding bug with your webhook retry logic after two days of debugging. You tell Cursor: "Fixed the Stripe webhook retry bug. The root issue was race conditions in our queue processor. Two days of pain but now it's solid."
Monday 10:01 AM: create_material saves this as a story, p0 material.
Tuesday 6 AM: The overnight generate cron runs. The agent reads your material, sees you have a LinkedIn channel and an X channel, generates two posts:
- X: "Spent two days on a Stripe webhook bug. Race condition in the queue processor. Fixed, but the debugging process taught me more about our architecture than six months of feature work." + three-tweet thread with the technical detail.
- LinkedIn: "Two days to fix one webhook bug. Worth sharing what we found..." + 400-word post on the architectural lesson.
Tuesday 7 AM: You open your , read both posts in 90 seconds, approve the X thread, make a small edit to the LinkedIn post, approve it. Done.
Tuesday 9 AM: The X thread goes live. LinkedIn post is scheduled for 11 AM.
Total time you spent: about 3 minutes — one sentence to capture, two minutes to review.
Getting More From Each Event
A single product event can generate content for weeks. The agent uses materials until they've been used three times (usedCount < 3) or they're older than 30 days. A significant launch can become an X thread, a LinkedIn post, a blog article, and a Hacker News comment on a relevant thread — all from the same original material.
For high-priority events, add more context to the material. The richer the input, the better the output. A one-sentence capture is fine. A three-sentence capture with specific numbers is better.
Connect and to start capturing your product events as content opportunities.
