What changed
On 2026-07-01 the Education Department published a FINAL rule (2026-13286) implementing the Working Families Tax Cuts Act (WFTCA, signed 2025-07-04). It creates the Student Tuition and Transparency System (STATS) and an earnings-accountability framework that LIMITS Direct Loan eligibility to programs whose graduates meet earnings benchmarks, and harmonizes this with the gainful-employment (GE) regime. (FACT — from the Federal Register rule.)
Why now
It is a final rule, not a proposal, so compliance dates are set in the rule text and institutions must stand up program-level tracking now. Losing Direct Loan eligibility is existential for a program's enrollment, so schools have acute, non-optional motivation to monitor and remediate before a determination lands. (why_now = FACT that it's final; urgency magnitude partly inference.)
Converging signals
Three signals meet at one point: (1) a new federal accountability rule, (2) a defined forced-filer class (~5,500 Title IV institutions, most acutely proprietary schools, community colleges, and certificate/GE programs), and (3) a new government portal (STATS) layered on existing NSLDS/College Scorecard/IPEDS earnings data. This is the classic public-money forced-filer shape.
Customer pain
Institutions must (a) report program-level tuition/transparency data into STATS, (b) track each program's graduate earnings against benchmarks, and (c) produce documentation to contest or remediate a low-earning determination BEFORE losing loan access. Most compliance/IR offices lack an early-warning system tied to Scorecard/IPEDS data and will be blindsided by which programs are near the cliff. (Reporting obligation = FACT; the 'lack a system' pain = inference by analogy to the 2014 GE wave.)
Who pays
The institution's compliance / institutional-research office, and the higher-ed consultants who serve them (white-label). Proprietary/for-profit schools and multi-campus community-college systems are the most motivated, reachable buyers.
Solved today
Manual spreadsheet analysis of Scorecard/IPEDS pulls, one-off consultant engagements billing per project, or generic higher-ed compliance suites. In the 2014 GE cycle a cottage industry of GE-compliance tools and consultants emerged — direct precedent for spend on this exact problem shape. (Precedent = FACT that a 2014 wave existed; current tooling gaps = inference.)
Why current solutions are bad
Consultant projects are expensive, point-in-time, and don't give continuous early warning; generic suites aren't wired to the new STATS reporting schema or the specific earnings-benchmark logic; spreadsheets don't scale across thousands of programs or update as new Scorecard cohorts publish.
Proposed product
A SaaS 'earnings-cliff radar': ingest College Scorecard + IPEDS program-level earnings/completion data, map each program to its benchmark, compute a distance-to-cliff risk score with trendline, and auto-generate (1) STATS-ready transparency reports and (2) a remediation/contest evidence pack. Alerts when a program crosses risk thresholds between data releases.
MVP version
Pull public Scorecard + IPEDS datasets, let a school select its OPEID/programs, and render a per-program risk dashboard (green/amber/red vs benchmark) plus an exportable PDF/CSV. Start with the analytics + risk-flagging layer (no live STATS submission) since the data is public and the benchmark logic is in the rule text.
30-day build
Read the final rule's earnings-benchmark methodology and STATS reporting fields precisely; build the Scorecard/IPEDS ingestion + program-benchmark mapping; produce a working risk dashboard for a handful of real institutions as demos.
60-day build
Add report/evidence-pack generation matching STATS field requirements; pilot with 3-5 proprietary schools or a community-college system and 1-2 higher-ed compliance consultants for white-label feedback; refine the remediation documentation output.
90-day revenue plan
Convert pilots to annual subscriptions and sign at least one consultant white-label deal; publish a free 'which of your programs are near the cliff' teaser report as the top-of-funnel lead magnet at conferences/associations.
Distribution path
Direct outreach to compliance/IR offices at high-risk institutions (proprietary schools, career colleges, community colleges), plus white-labeling to higher-ed compliance consultants and accreditation advisors who already have the relationships. A free public 'cliff-risk lookup' seeded from Scorecard data as demonstrated-value lead gen. Higher-ed associations (e.g., CECU, AACC members) as channels.
Pricing hypothesis
$3-10k/institution/year tiered by program count; white-label/reseller pricing for consultants (per-seat or per-institution). No statutory fee caps apply.
Technical difficulty
Moderate: data is public (Scorecard/IPEDS), so the hard part is correctly encoding the benchmark methodology and STATS reporting schema from the rule, plus keeping mappings current as cohorts refresh. Solo-buildable with AI assistance.
Legal / regulatory risk
Low-to-moderate: the tool analyzes public data and prepares the institution's own reports — the founder is not becoming a licensed party. Care needed that risk scores are framed as decision-support, not legal/eligibility guarantees. No platform can deplatform a government-reporting tool.
Platform dependency
None from a private platform. Dependency is on continued publication of Scorecard/IPEDS data and on STATS's final field schema, which may shift as the system launches.
Founder fit
Very high. This is the founder's exact proven shape: a federal rule compels a defined class to report/document to a government portal, and a solo operator builds the compliance/submission-and-monitoring layer and charges per institution/seat — directly analogous to his shipped FMCSA ELDT portal-submission product. Public-records/data-product skills apply cleanly.
Breakout potential
Strong. If STATS opens a submission API, the product can extend from monitoring to actual filing (per-submission fee). The framework replicates across every GE/certificate program nationwide and pairs naturally with adjacent higher-ed accountability reporting, giving a multi-year expansion path.
Final recommendation
PURSUE — high-conviction fit with the founder's forced-filer/government-portal thesis, with a clear public-data MVP path. Lead with the analytics/early-warning wedge and consultant white-label channel to sidestep slow institutional procurement, and confirm the benchmark methodology and STATS schema from the rule text before building the reporting layer.
Next action
Read rule 2026-13286 in full to extract the exact earnings-benchmark methodology, the program population it applies to, STATS reporting fields, and compliance dates; then build a Scorecard/IPEDS-fed risk dashboard for 3-5 named high-risk institutions as demo assets.