A complete, local-first platform that runs on your hardware. 15+ specialized agents. Zero cloud dependencies. Full human-in-the-loop governance.
Every night, a 36-phase pipeline runs autonomously, then surfaces results for your approval.
Scan inbound signals
Deep analysis
Create content
Quality gates
You decide
The overnight loop runs 36 phases across research, content generation, deal analysis, and evaluation. Every result comes to you for approval before any execution. You stay in control.
Each layer is designed to compound the power of the layers above it.
A complete operating system for research, content creation, trading, and deal flow.
Multi-pass deep research with structured reports, exec summaries, and implementation steps.
Monitors Hacker News, Reddit, X, and market signals. Scores and prioritizes opportunities.
Detects revenue opportunities, ranks by actionability, surfaces specific next steps.
Trend-aware content creation with research integration and quality scoring.
Research-to-thread formatting, engagement optimization, and publishing pipeline.
Aggregates insights and content. Formats for distribution. Human review before send.
Two-layer assessment: rule-based checks + LLM scoring. Catches fabrication and safety issues.
Generates testable hypotheses from overnight runs. Self-improvement through structured experiments.
Momentum, mean reversion, trend following. Live crypto data. Circuit breaker risk controls.
Multi-factor signals with risk scoring. Backtesting and performance tracking.
Historical simulation with fee accounting, slippage, and realistic scenario analysis.
Builds searchable knowledge base from research runs. Persistent company memory.
Schedules, publishes, and monitors content across channels. Human approval always required.
Monitors mentions and replies. Surfaces community signals for your review.
Identifies partnership and revenue opportunities aligned with your content and brand.
Proven technologies that keep everything local and fast.
96 GB unified memory. Single-machine deployment.
Local LLM runtime. Mistral, Llama 2, and custom fine-tuned models.
Agent orchestration, pipeline execution, data processing.
Persistent state, memory, and audit log storage.
Native Mac app for monitoring, approval queue, and control.
Metrics, health monitoring, and performance tracking.
Semantic search, knowledge indexing, and memory retrieval.
No cloud auth. SSH keys and system-level access control.