# Ed V.

Ed V. writes about defense production and the capital needed to expand it, drawing on experience in military operations and Pentagon production initiatives. They now work with investors and companies on defense manufacturing and industrial capacity.

- Profile: https://b2binfluencer.marketing/creators/ed-v/
- LinkedIn: https://www.linkedin.com/in/relentless
- LinkedIn followers: 11,515
- Topics: workforce-development, defense-industrial-base
- Based on 23 dated posts, latest 2026-10-07

## Summary

Ed V. is most useful for explaining how demand, government capital, and workforce shape defense production capacity.

- Best for: A defense technology company seeking a strategic advisor on scaling production capacity.
- Not for: Consumer brands seeking broad-reach sponsored content with set deliverables and measurable reach.
- Check first: Confirm audience demographics, employer type, occupation, seniority, and sponsored delivery results.

### Takeaways

- Factories do not get built because someone gives a speech.
- Buying the thing is not the same as building the ability to make it.
- The longest-lead item on any capital plan is people.

## Main ideas

- **Factories don’t get built because someone gives a speech**: Their central argument is that capacity follows demand a company can believe in. If a defense firm is asked to put hundreds of millions into a new line against a one-year order, the numbers don’t work, and buying back shares can look like the better use of cash. Make demand credible over several years — through multiyear procurement, offtakes, purchase guarantees, forward purchases or price floors — and the expected return can clear the company’s cost of capital, making investment in production the more defensible choice. They sum up the order of operations as customers, then capital, then production. This is their most developed theme and the one they return to most often.
- **Buying the thing isn’t the same as building the ability to make it**: They draw a sharp line between procurement, which purchases output, and industrial-base authorities, which create the ability to produce it. They explain two tools in plain terms: Industrial Base Analysis and Sustainment, which they describe as faster and more flexible, targeting bottlenecks, missing suppliers, castings and forgings, critical minerals and workforce; and DPA Title III, a 1950 authority they call bigger and slower, with more statutory process. Both sit in Industrial Base Policy within Acquisition and Sustainment, and both can stack with private capital. Their rule of thumb: when the problem isn’t buying 10,000 more widgets but a factory that’s too small, tooling that doesn’t exist or one supplier controlling the rate, these are the tools to use.
- **The longest-lead item on any capital plan is people**: Capital plans, they argue, detail land, permitting, construction, equipment and tooling, then leave a thin line near the bottom for hiring and training. That ordering is backwards. A new mine takes three to five years to build, and developing the people to run and maintain it takes about as long, so the workforce pipeline has to start when ground is broken. They widen the shortage beyond engineers to electricians, millwrights, heavy equipment mechanics, process operators, instrumentation technicians, automation specialists, metallurgists and geologists. Modern mines are advanced industrial systems, and every one of those skills sits on the critical path.
- **Training doesn’t help if you can’t afford to miss a paycheck**: Training and transition are not the same thing, they argue. Capital is disciplined about equipment and training but not about the human step between one career and another. Someone talented who lives forty miles from a shipyard may not be able to stop working for fifteen weeks, whatever job waits at the end — pouring coffee, working a register or slinging fries. They endorse a ‘wage bridge’ — money to cover the gap while someone trains — as the missing piece in workforce programs. This personal experience underpins the workforce argument that recurs throughout their writing.
- **Capital has to fit the job**: Their position is that different kinds of money solve different problems, each with its own clock and return expectation. Venture can take technical and early market risk; private equity can bring scale and operating discipline; credit finances equipment, inventory and receivables; banks fund working capital; government can supply demand, take specific risks or backstop others, or go where the market won’t yet. Deals often need several of these in the same stack, and their timelines don’t always agree, so a structure can look right on paper and still bring the wrong money to the table. They warn that a famous investor list or a large round says nothing about whether a company can deliver on its production promise.
- **Government can enter the capital stack at different points**: They explain two entry points for public credit: lending directly to a company, or lending to an investment fund that combines the credit with private money and invests downstream. Direct lending is easy to picture. Fund finance means government doesn’t have to pick every company itself: fund managers bring sourcing, diligence and portfolio management, along with their own investors. Facilities can run from $500M to $1B per fund, capped at 125% of private capital, and the loans are debt — first- and second-lien senior secured — rather than equity. Their framing: sometimes you finance the factory, and sometimes you finance the investor who finances the factories, pursuing the same objective from a different point of entry.
- **Automation changes where people create value, not whether they have work**: Their argument is that the automation debate is aimed at the wrong target. While everyone argues about AI replacing office jobs, they write, almost nobody discusses AI rebuilding factories. Factories are becoming software-defined, shifting the highest-value work toward people who can team with increasingly capable machines — robotics technicians, AI operators, controls engineers, industrial cybersecurity specialists. They expect the next industrial advantage to belong to the country with the best human-machine teams rather than the cheapest labor. Unlike their capital posts, this is a prediction about where work is headed, not a mechanism they have worked inside.
- **A squadron and a portfolio pose the same resource problem, but with different stakes**: They use military command experience to explain capital allocation to people who have never read a balance sheet, and investor language to explain readiness to people who have never commanded a unit. They don’t argue that the two are equivalent, but that they share an underlying question: what did you consume to produce this number? Borrowed parts, deferred training and borrowed future hours all take from tomorrow to make today’s figure — what an investor calls deferred capital expenditure. At a larger scale, retiring missions and merging formations look to Wall Street like mergers, divestitures and spinouts, and the same diligence questions apply: what actually transfers, what quietly dies, and did the pieces get what they need to live?
- **They judge leaders by whether they scale with growth and ask “how”**: When they write about people rather than systems, two tests emerge. First, can leadership grow as fast as the organization it runs? Attention moving into a business can generate demand, but if leaders can't get serious about what's driving growth, ownership has to find leaders who can. Second, temperament: “no” is not a strategy. The leaders they admire work the problem until a path opens rather than stopping at why something can't be done. Both tests ask whether people absorb change or avoid it.

## Work to read

- [Advance market commitments: industry doesn't build factories against speeches](https://www.linkedin.com/posts/relentless_rhl-activity-7510425216590848000-nAU0)
- [The longest-lead item isn't the mine. It's the workforce.](https://www.linkedin.com/posts/relentless_rhl-activity-7490367245408268288-9eBh)
- [IBAS and DPA Title III: how government capital gets into the deal](https://www.linkedin.com/posts/relentless_rhl-activity-7509634681538002944-IgsX)
- [Direct loans and fund finance: where government credit enters the stack](https://www.linkedin.com/posts/relentless_rhl-activity-7510052953467117568-9HqW)
- ["Tourists and FOMO": capital has to fit the job](https://www.linkedin.com/posts/relentless_rhl-activity-7509681807789801473-VANU)
- [What is the EBITDA of a fighter squadron?](https://www.linkedin.com/posts/relentless_rhl-activity-7507427741080915968-Xjd7)
- [Production capacity starts with people](https://www.linkedin.com/posts/relentless_production-capacity-starts-with-people-this-activity-7513591870418042880-DB5Q)
- [“We're making robots that make explosives”](https://www.linkedin.com/posts/relentless_arsenaloffreedom-relentlesswingman-publicprivatecapitalstack-activity-7482171958147715073-2bQr)

## Brand relationships

- **Aerial Resupply Coffee** (mention)
- **Deterrence** (mention)
- **General Dynamics** (mention)

## Partnerships

Ed V. has no published partnership formats. Their twelve full LinkedIn posts and profile include no media kit, rate card, sponsorship policy, or booking and inquiry page. The posts show no paid placements or sponsored posts, and they state neither a willingness to accept them nor a refusal. One brand relationship reads as a firsthand endorsement rather than a disclosed partnership: after visiting Aerial Resupply Coffee, a veteran-owned roaster, they recommended the coffee, pointed readers to the shop's website, and said they had moved to a monthly subscription. Several posts carry campaign-style hashtags, including #RHL, #ArsenalOfFreedom and #PublicPrivateCapitalStack, but a hashtag alone does not establish a paid relationship. Before allocating a campaign budget, ask them or a representative to confirm terms in writing, including deliverables, post counts, review and approval windows, usage rights, exclusivity, disclosure language, and an inquiry route.

## Alternatives

- Derek Oaks: Choose Oaks when the buyer's constraint is which programs to buy, keep, or retire and how to pay for and sustain them inside the Air Force — acquisition and force-structure decisions rather than company-level capital math. The posts argue for honest numbers and a fully defined force structure, keeping older aircraft such as the B-52, A-10, and KC-135 flying where a refresh makes sense, rewriting parts-replacement rules that choke supply chains, letting sustainment and procurement money mix for already-fielded aircraft, adding more OEMs to broaden the industrial base, and buying a ready-now smaller tanker (the KC-390) rather than waiting on the KC-46. For a company that needs a public voice to argue acquisition reform and industrial-base breadth, that is closer to the fight than a capital-stack framing.
- Tov Brog: Choose Brog when the bottleneck is market access rather than capacity — helping a defense company win US DoD procurement or Foreign Military Sales. The posts read the IDF's new AI division as a validation pathway for Israeli firms into US DoD markets through FMS co-development, SBIR/STTR Phase III transitions, and OTA partnerships, and identify "contested logistics" as a funded Pentagon priority, steering dual-use drone makers toward heavy-lift and autonomous resupply instead of strike systems. For a defense technology firm whose problem is getting onto a US program, that is the more useful position.
- David Goldsmith: Choose Goldsmith when the production question is operating economics and incentive alignment. The posts put numbers to autonomous mining — centralized command operations modeled at 46% return against 33% for local surface operations and negative 24% for conventional — and describe a pay-on-output model where the technology provider gets paid when material moves, not when equipment arrives. For a company weighing whether to sell equipment or sell production, and how to structure a supplier relationship so both sides win only if output rises, that alignment argument is the closer analogue.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/