Initial import from garrytan/gstack@026751e (main snapshot via local relay)

Source: https://github.com/garrytan/gstack/commit/026751e

test/fixtures/mode-posture/builder-idea.md

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+# Weekend Project: Dependency Graph Visualizer
+
+I want to build a tool that takes a codebase and visualizes its dependency graph — modules, imports, which files depend on which. For fun, for learning. Maybe open-source it.
+
+## What I have so far
+
+- Rough idea: point it at a repo, get an interactive graph
+- Stack I'm leaning toward: TypeScript + D3 or Cytoscape for rendering
+- Potential: could work for JS/TS first, maybe Python later
+
+## What I don't know yet
+
+- How to make the visualization actually useful vs just pretty
+- Whether this should be a CLI, a web tool, or a VS Code extension
+- What would make someone else want to use it

test/fixtures/mode-posture/expansion-plan.md

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+# Plan: Team Velocity Dashboard
+
+## Context
+
+We're building a dashboard for engineering managers to track team code velocity — commits per engineer, PR cycle time, review latency, CI pass rate. The data already lives in GitHub; we're just aggregating it for a manager's single-pane view.
+
+## Changes
+
+1. New React component `TeamVelocityDashboard` in `src/dashboard/`
+2. REST API endpoint `GET /api/team/velocity?days=30` returning aggregated metrics
+3. Background job pulling GitHub data every 15 minutes into Postgres
+4. Simple filter UI: team, date range, metric
+
+## Architecture
+
+- Frontend: React + shadcn/ui
+- Backend: Express + PostgreSQL
+- Data source: GitHub REST API (cached 15min)
+
+## Open questions
+
+- Should we support multiple repos per team?
+- Do we show individual engineer names or aggregate only?

test/fixtures/mode-posture/forcing-pitch.md

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+# Our Idea: AI Tools for Product Managers
+
+We're building AI tools for product managers at mid-market SaaS companies. The product combines a bunch of the things PMs already do — writing PRDs, gathering user feedback, analyzing usage data, drafting roadmaps — and uses LLMs to speed each of them up.
+
+## Who we're targeting
+
+Product managers at SaaS companies with 50-500 engineers. These PMs are stretched thin, juggle a lot of surface area, and would benefit from AI assistance.
+
+## What we've done so far
+
+- Talked to a few PMs we know from prior jobs
+- Built a prototype that summarizes Zoom customer calls into a PRD stub
+- Got on a waitlist of about 40 signups from LinkedIn posts