Use Cases
Real-world workflows with Helton Labs products
Evergreen as a Freelancer CRM
Track client relationships, interactions, and follow-ups with a lightweight local CRM. No enterprise overhead, no subscription, no cloud. Just a fast personal database for the people who matter to your business.
EvergreenManaging Your Investor Network
Track founder relationships, deal flow, and portfolio companies. Tag contacts by stage, monitor follow-ups with smart search, and keep sensitive deal data local on your Mac.
EvergreenEvergreen for Job Search
Organize recruiters, hiring managers, and networking contacts during your search. Track every conversation, attach follow-up actions to people, and keep your job search data private.
EvergreenConference Networking
Capture connections during events, execute the 48-hour follow-up, and build lasting relationships over time. Turn brief conference conversations into a structured, searchable network.
ContextSwitchContextSwitch with Claude Code
Connect your kanban board to Claude Code via MCP. Create tasks from bug discoveries, run standups with your AI assistant, and manage multi-project workflows without leaving your terminal.
LexiconBuilding a Prompt Library with Lexicon
Organize, template, and reuse your best AI prompts. MCP integration turns your library into slash commands for Claude Code and Claude Desktop. Template variables, smart collections, and local-only storage.
LexiconCode Review Prompts with Lexicon
Build reusable code review prompts with template variables for language, framework, and review focus. Trigger detailed security, performance, and tech debt reviews as slash commands in Claude Code.
LexiconAI Writing Workflows with Lexicon
Manage AI writing prompts for editing, tone adjustment, research synthesis, and drafting. Template variables for consistent, repeatable AI-assisted writing across different audiences and contexts.
LexiconData Analysis Prompts with Lexicon
Manage AI prompts for exploratory analysis, visualization, and reporting. Reusable templates with variables for data source, output format, and chart styling ensure consistent analytical workflows.
ContextSwitchManaging Side Projects with ContextSwitch
Keep side projects alive with separate databases, a unified timeline, and a project diary that recovers your context after weeks away. AI integration lets Claude read your boards and log progress.
ContextSwitchMaintaining Open Source Projects
A private planning board alongside GitHub Issues. Track your roadmap, plan releases with kanban columns, and use AI-assisted triage to prioritize maintainer time across multiple repositories.
ContextSwitchTracking Research Projects
A local kanban and research diary for nonlinear work. Track experiments through stages, document methodology in timestamped diary entries, and query your research log through AI integration.
idea.logCapturing Developer Ideas on the Go
Capture app ideas, side project concepts, and technical insights before they vanish. Voice input, Siri shortcuts, and AI-powered next steps turn fleeting thoughts into actionable projects.
idea.logidea.log for Blog Post and Content Ideas
Capture blog post ideas, newsletter topics, and content concepts with voice input. AI suggestions help turn ideas into outlines, and status tracking creates a lightweight content pipeline.
idea.logValidating Startup Ideas with idea.log
Capture, organize, and validate startup ideas. The required first step reframes ideas as experiments, pushing you from dreaming to testing. Local-only storage keeps sensitive ideas private.
BetADayBetADay as a Trading Journal
Document your reasoning before every trade, review decision quality with structured tags, and build an honest record of your thinking. One prediction per day, captured before the outcome is known.
BetADayLearning to Read Markets
Develop market intuition through structured daily predictions. Practice mode for learning without pressure, one-bet constraints that force real study, and a track record that reveals your analytical patterns.
BetADayImproving Decision-Making
Use daily market predictions to practice structured thinking under uncertainty. Commit before you know the outcome, track your calibration over time, and separate decision quality from results.