MiniMindsLab
An autonomous multi-target software factory that discovers useful capabilities, builds and verifies web tools, and selectively recompiles suitable capabilities for Model Context Protocol.
Independent technology operation · systems / software / automation
Build small.Operate deep.
Dark Range Holdings builds focused internet products and the machinery behind them: automation, infrastructure, deployment, verification, measurement, and recovery.
ArchitectureDeterministic builds
OperationsMeasured + recoverable
DeliveryWeb + MCP + automation
DRH / CONTROL PLANE / 05.03
01 / What we do
Software is only half the product.
The rest is the system that keeps it running when nobody is watching.
DRH builds the product and the operating layer around it: generation, validation, deployment, observability, analytics, backups, and recovery.
01
Build focused products
Small web products and digital properties designed around a clear job instead of endless feature accumulation.
02
Automate the routine
Repeatable workflows handle generation, QA, deployment, reporting, and maintenance while preserving human judgment where it matters.
03
Operate owned systems
Self-hosted infrastructure keeps critical paths, state, backups, and failure recovery visible and understandable.
02 / Platform services
Operate authorized digital properties with control.
Software and automation for managing connected business accounts without giving up operator control.
Dark Range Holdings develops software and automation for businesses managing authorized social media accounts and other digital properties. The platform supports publishing workflows, comment and engagement review, approved response handling, deployment, analytics, and operational controls. Access is limited to business assets the operator has authorized, and public actions remain under operator control.
01
Connect authorized accounts
Business social accounts are connected to shared publishing and community-management workflows while preserving distinct account identities and credential boundaries.
02
Review engagement in context
Comments and account activity can be gathered into bounded review flows so operators can understand the surrounding content and prepare appropriate responses.
03
Approve before publishing
Public replies and other external actions are routed through explicit operator approval and controlled execution instead of being published automatically.
03 / Portfolio
Systems currently in the field.
Each public project is a working product and an operating experiment in how much useful software a deliberately small stack can support.
Omegift Ideas
An automated static publishing experiment focused on gift-idea discovery and search-driven content.
DRH Sentinel
External heartbeat and dead-man monitoring for scheduled jobs, backups, and other critical automated processes.
04 / Stack
Practical infrastructure.
Tools are chosen for clarity, control, recoverability, and fit—not because they are fashionable.
HostLinux
RuntimeDocker
NetworkPrivate overlay
Automationn8n
EdgeCaddy + Cloudflare
StateNextcloud
QualityDeterministic QA
DeliveryWeb + MCP
AssistAI workflows
MeasureGA4 + Search
05 / Recent proof
What the systems taught us.
Case studies document production work after it has been built, operated, measured, or repaired—not before.
Extending an Autonomous Software Factory to MCP
How MiniMindsLab evolved from an autonomous browser-tool factory into a multi-target software system that selectively recompiles production capabilities for Model Context Protocol.
n8nModel Context ProtocolNode.jsDockerNextcloud
Closing the Loop on Autonomous Products
How Dark Range Holdings connected comparative search and traffic measurement, behavioral funnels, runtime economics, intervention attribution, and decision history so automated products can be judged after release instead of merely shipped.
n8nGoogle Analytics 4Google Search ConsoleOpenAI APINextcloud