Who are the next 200 developers?

The term 'next 200' is our shorthand for the wave of data center developers outside the largest hyperscalers. It is not a precise number — the actual count is probably closer to 300 active parties when you include the long tail of single-site operators, regional colos, crypto miners, and enterprise builders. But the pattern is clear: these operators collectively represent more new capacity than Amazon, Microsoft, Google, Meta, Oracle, and xAI combined, and they do not have the internal tooling those companies do.

They share three characteristics. First, they move with urgency because they see the AI infrastructure window closing. Second, they have capital but not unlimited legal or engineering budgets. Third, they are filing interconnection requests and incentive applications in jurisdictions where they are often the first or second data center the local agency has ever processed.

Wood Mackenzie's Q4 2025 report framed the category sharply: 'The developer landscape is increasingly dominated by new entrants pursuing speculative mega-projects.' The framing matters because it reflects how traditional observers see the category — as speculative. We see it differently. Most of these projects are real, well-capitalized, and shipping workflows that the traditional consulting and legal ecosystem is not staffed for.

The 'next 200' breaks down into five sub-segments with distinct profiles.

**Crypto-to-AI converters** are the most urgent sub-segment. Over $70 billion in cumulative AI/HPC contracts have been announced across the public mining sector. Core Scientific restructured from bankruptcy into a bare-metal AI infrastructure provider that CoreWeave acquired for about $9 billion. Hut 8 signed a $7 billion 15-year lease at River Bend, Louisiana. TeraWulf contracted $12.8 billion in HPC revenue with Google backstopping $3.2 billion in lease obligations. Riot Platforms is developing ~112 MW at Corsicana, Texas under activist pressure from Starboard Value. These companies have power infrastructure and capital; they face a steep learning curve in DC regulatory compliance, enterprise SLAs, and jurisdictional expertise.

**Coal plant and industrial site converters** are the second sub-segment. Homer City, Pennsylvania — a retired 1,884 MW coal plant — is becoming a $10 billion gas-plus-DC campus. Babcock & Wilcox partnered with Denham Capital to convert coal plants specifically for data centers. Xcel Energy is converting plants across its fleet. Microsoft's $3.3 billion Mount Pleasant facility sits on a former Foxconn / US Steel site. Roughly 120 coal plants are scheduled for retirement in the next five years, and the most viable are being pursued by sponsors who need predevelopment tooling that does not currently exist.

**Enterprise builders** are the third sub-segment — banks, healthcare systems, retail chains, and other large institutions building their own private data centers for internal workloads. They typically have IT expertise but lack real estate development and permitting knowledge. They are underserved by consultants who focus on hyperscaler accounts.

**Regional colocation providers** are the fourth sub-segment — Stream Data Centers, Novva, DC BLOX, Flexential, and similar operators building in second-tier markets. They often encounter jurisdictions processing their first-ever large data center permit. They need software to level the playing field against hyperscaler government affairs teams.

**Tribal land developers** are the fifth and most underserved sub-segment. The DOE hosted a 'Beyond Land Leases' webinar in 2025 signaling federal interest. The Payne Institute has documented the opportunity. NTUA's Navajo data center (operational since 2012) and the Innava/Nova facility in New Mexico are the live examples. Tribal nations have large contiguous land bases, sovereign authority, and water rights. What they lack is a predevelopment platform that understands tribal regulatory structures natively.

These five sub-segments look different on the surface but share a common structural profile that makes them a coherent market.

They share urgency. Every conversation starts with 'we need this shipped by Q4' or 'we have a window this year or we lose the deal.' The time value of predevelopment acceleration is real and measurable for them.

They share capital. These are not bootstrapped operators — most have public markets access, institutional capital, or strategic backing. They can afford software. What they struggle to afford is $400,000 consulting engagements that deliver in slides.

They share regulatory inexperience. Most of the 'next 200' is filing in jurisdictions where they do not have a long-standing relationship with the agency, the PUC, or the ISO. They need the regulatory graph because they have not internalized it yet.

They share a tooling gap. Hyperscalers have internal platforms, internal government affairs teams, and internal engineering depth. The 'next 200' has almost none of this — and no external platform exists to serve them.

Finally, they share a structural advantage we often miss. Because they are forced to ship predevelopment faster and cheaper than the hyperscalers, they are disproportionately willing to try new tools and workflows. The hyperscalers have frozen their internal processes; the 'next 200' is still figuring theirs out. That's the window we build into.

Cliffcenter's five solutions map to the 'next 200' differently for each sub-segment.

Crypto-to-AI converters typically start with Queue Intelligence — they have the power but not the interconnection workflow, and every project is racing against hardware procurement cycles. Our ERCOT and PJM playbooks are particularly relevant. Incentive Optimization follows when they realize they have left seven figures on the table per project.

Coal plant converters start with Site Intelligence — they need to identify the specific sites that are viable for conversion, with the right POI voltage, remediation status, and regulatory pathway. BTM Workflow follows when they begin structuring the actual deal. The Homer City template is a reference they all study.

Enterprise builders typically start with Predevelopment Services because they want the outcome, not a software rollout. After one successful engagement, they often expand into Queue Intelligence (to track the interconnection) and Incentive Optimization (to capture the state programs they did not know existed).

Regional colos typically start with Incentive Optimization because it is the lowest-friction wedge and delivers immediate ROI. Queue Intelligence follows when they begin filing the underlying interconnection requests.

Tribal land developers are the most services-heavy sub-segment. They typically need a full predevelopment engagement with embedded support, because the tribal regulatory framework is different enough that software alone doesn't bridge the gap. We work alongside tribal attorneys and tribal utility authorities.

Our pricing assumes these customers, not hyperscalers. Queue Intelligence Starter at $4,500/project/month is priced for operators who cannot justify $500,000 consultant engagements but can justify a clear SaaS line item. BTM Workflow Deal at $75,000 flat fee is priced against the $2–5M legal bill that a typical co-location deal generates. Incentive Optimization filings at $15,000 each are priced against the $200,000 plus consulting engagements that produce the same outcome.

Revenue mechanics at scale: if we capture 20% of the 'next 200' operators running 2–4 active projects each at our Developer-tier pricing ($18,000/month), that is roughly $15–25 million in ARR from the core Queue Intelligence wedge alone. Incentive Optimization adds similar scale. BTM Workflow adds scale-per-deal. The five wedges compound.

We built Cliffcenter specifically for this segment. Every pricing decision, every product decision, every content decision reflects that we are not primarily selling to hyperscalers. Hyperscalers can use the platform, and they do — but the core customer is the 'next 200'.

One of the most useful things we publish is the set of specific signals we watch for the 'next 200' segment. Public mining company quarterly filings, state PUC intervention lists, Wood Mackenzie quarterly reports, PJM capacity market bid books, ISO queue reports, EIA retirement schedules, and a curated set of trade press outlets (Data Center Dynamics, Data Center Frontier, S&P Global Market Intelligence).

For a customer in this segment, the fastest way to understand Cliffcenter is probably: (1) read this brief, (2) read the wedge thesis, (3) read the specific research article for their dominant pain (queue, incentives, BTM, or sites), (4) request a pilot. Most of our first calls follow exactly this sequence, and they land on a scoped pilot proposal within a business day.