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🗺️ Development Roadmap

Building a living network of community builders, their insights, and projects. This roadmap outlines the features we're developing to create a comprehensive content system for the Barefoot Technologists community.

🧩 Part 1: Micro Bio Profiles

Dynamic, growing micro-bios for community members, auto-generated and enriched over time from event participation and content.

Profile Data ModelPlannedHigh

Database schema for storing community member profiles including bios, contributions, tags, links, quotes, and projects.

  • Name + Role (e.g. “Colin Harman – AI-native tooling expert”)
  • Recent contributions and event participation
  • Tags and areas of focus (#AI, #Tooling, #HeavyIndustry)
  • Social links (Substack, GitHub, Twitter, LinkedIn)
  • Quote snippets from transcripts
  • Projects to watch and current work
Drizzle ORMPostgreSQLTypeScript

Profile Extraction ScriptsPlannedHigh

Automated scripts to extract profile data from event transcripts and metadata.

  • Parse event transcripts for speaker names, roles, and quotes
  • Extract tags and links from context
  • Auto-generate initial profiles from event participation
  • Update existing profiles with new contributions
Node.jsOpenAI APINatural Language Processing

Community Directory UIPlannedMedium

Searchable, filterable directory of community members (e.g. “Detroit Builders Index” or “Barefoot Dev Roster”).

  • Search and filter by tags, roles, or contributions
  • Profile cards with key information
  • Cross-linking between profiles and events
  • Responsive design for mobile and desktop
Next.jsStyled ComponentsReact Query

Profile Editor InterfacePlannedMedium

Admin interface for manual corrections, expansions, and curation of community profiles.

  • Edit profile information and links
  • Add/remove tags and contributions
  • Approve or reject auto-generated content
  • Bulk operations for multiple profiles
Next.js AdminForm ValidationRole-based Access

📚 Part 2: Multi-Speaker Content Workflow

Structured workflow for logging, segmenting, and publishing multi-speaker event content with automated transcription and content assembly.

Event Ingestion UIPlannedHigh

Interface for uploading event content and entering metadata.

  • Audio/video file upload with progress tracking
  • Event metadata form (title, date, location, host org)
  • Speaker list management
  • Bulk upload for multiple events
Next.jsFile UploadForm Handling

Transcription PipelinePlannedHigh

Automated transcription and speaker segmentation system.

  • Integration with transcription APIs (Whisper, AssemblyAI)
  • Speaker diarization and identification
  • Automatic section tagging (insight, quote, project, philosophy, tool)
  • Quality control and manual correction interface
OpenAI WhisperAssemblyAIWebSocket

Content Assembly SystemPlannedMedium

Automated generation of event posts and speaker spotlights from transcribed content.

  • Event overview post generation (headline, themes, speaker lineup)
  • Individual speaker blog post creation
  • Micro bio extraction from speaker content
  • Cross-linking between events, speakers, and projects
OpenAI GPTContent TemplatesMarkdown Generation

Publishing WorkflowPlannedMedium

Draft, review, and publish system for event content and speaker spotlights.

  • Draft preview and editing interface
  • Review and approval workflow
  • Scheduled publishing
  • SEO optimization and social sharing
Next.jsDraft.jsSEO Tools

Follow-up ManagementPlannedLow

System for tracking and managing follow-up outreach to speakers and community members.

  • Interview scheduling and reminders
  • Project update tracking
  • Collaboration opportunity management
  • Outreach template library
Calendar IntegrationEmail TemplatesCRM Features

🌐 Vision: Living Network

Over time, this becomes a searchable, evolving network of people and projects in your community. Event logs evolve into full profiles. Micro bios turn into collaborative archives.

  • Searchable ecosystem — Find people, projects, and insights across events
  • Evolving profiles — Community members can contribute to their own bios
  • Cross-linking — Connect events, people, projects, and content
  • Collaborative archives — Community-curated knowledge base

🚀 Next Steps

Immediate priorities:

  • Design and implement the profile data model
  • Build the event ingestion UI
  • Integrate transcription API and speaker segmentation
  • Develop extraction scripts for bios and content
  • Create the community directory UI

Success metrics:

  • Number of active community profiles
  • Events processed and published
  • Cross-links between content
  • Community engagement with profiles