Active build lanes
6
AutoVox · Enterns · Vlab · Airmo · Memoria · Nori&Oak
Live deployments
8
URLs returning 200/302
Revenue (all units)
$0
pre-revenue — distribution is the constraint
Acquisition tracks
2
Laundromat (active) · Gas-station (secondary)
Top priority horse
AutoVox
score 6.85 · "first paid pilot"
Build capacity
5+ AI stacks
Claude · Codex · Gemini · local · agent frameworks
The honest headline. Across two macOS users, 5+ AI coding tools, a VPS and fly.io, ~10 software initiatives plus 2 acquisition tracks: a great deal is built and deployed; almost nothing is sold. 8 live URLs and multiple agentic stacks against $0 revenue — the binding constraint is distribution/GTM, not build capacity. Strategy: capture everything once, then point the build farm at outreach and put one product in front of a paying human.
Portfolio phase matrix
P0 spec → P5 revenue · verifiedEvery in-scope initiative by lifecycle phase. ✓ done · ● active · ◑ shell/partial · · not started.
| Initiative | Lane | P0 Spec | P1 Setup | P2 Build | P3 Test | P4 Live | P5 Rev | Stage |
|---|
Priority scoring
Turnaround·Status·World·GrowthCouncil-weighted score (.30/.25/.25/.20). Drives where scarce hours go.
Build vs. revenue
the gapDeployments shipped vs. paying customers — the distribution deficit in one view.
The three lanes
drill in🤝
Mergers
M&A pipeline framework — sourcing → screen → LOI → diligence → financing → close → integrate. Ready for deals to enter.
Open framework →🏦
Acquisitions
Buy-side: the live laundromat SBA screen (verified OSINT) + the gas-station track. Real targets, real diligence flags.
Open acquisitions →🚀
Greenfield
The software build farm — AutoVox, Enterns, Airmo + Vlab/Memoria/Nori. Status, stack, blockers, competitors.
Open greenfield →