What changed
Texas Education Agency received a $1,148,644,105 IDEA Part B (611) State Grant from the U.S. Department of Education (FACT, USAspending award ASST_NON_H027A220008_091). Nearly all of that money passes through to Local Education Agencies (LEAs) and charters as subgrants, each of which must meet the federal special-education Maintenance of Effort (MOE) requirement or repay the shortfall from local funds (inference on the specific TX mechanics; the MOE requirement itself is federal law, 34 CFR 300.203-300.205).
Why now
The award is live and appropriated, so the annual Part B application, MOE compliance test, excess-cost computation, and proportionate-share (private-school) calculation cycle is a recurring, non-optional obligation for every subrecipient this grant year and every year the formula grant renews.
Converging signals
Three signals meet at one point: (1) a large federal formula award to a state agency (FACT), (2) a defined forced-filer class — TX LEAs/charters receiving Part B subgrants (inference), and (3) a state portal + formal review with refund exposure (TEA eGrants/GFFC, inference). This is the founder's canonical public-money / forced-filer shape.
Customer pain
MOE is notoriously easy to fail: if a district spends less local/state money on special education than the prior year (total or per-capita) without qualifying for an allowable exception, it owes the federal government the difference — a real cash clawback. The four MOE tests, the exceptions/adjustments, excess-cost, and proportionate-share math are error-prone and currently done in spreadsheets or by consultants. (Pain is inferred from the structure of the rule and TEA's formal MOE review, not from a cited complaint thread.)
Who pays
Special-education directors, business managers, or federal-programs coordinators at TX LEAs and charter schools — the parties personally accountable for the MOE determination and the refund if it fails.
Solved today
Excel templates (often TEA- or ESC-provided), regional Education Service Center (ESC) staff, and outside grant/special-ed consultants who bill hourly or by engagement. Larger districts have in-house federal-programs staff doing it manually.
Why current solutions are bad
Spreadsheets don't version-control the prior-year baseline, don't automatically apply the allowable exceptions/adjustments, and don't flag a projected shortfall early enough in the year to fix it. Consultants are expensive and not continuous. A single formula error surfaces only at TEA's review, when the refund is already owed.
Proposed product
A focused web app: district enters (or imports from PEIMS/eGrants exports) prior- and current-year special-education expenditures by fund source; the tool runs all four MOE tests, applies exceptions (departing staff, aging-out students, allowable cost adjustments, 50% CEIS reduction), computes excess cost and proportionate share, and produces a signed compliance workpaper plus an early-warning dashboard showing projected MOE margin during the year.
MVP version
Single-district MOE calculator: the four eligibility/compliance-standard tests with exceptions, prior-year baseline storage, a red/green pass indicator, and an exportable PDF/Excel workpaper that mirrors TEA's expected format. No portal auto-submission in v1 — output is the artifact the district files/keeps.
30-day build
Codify the federal MOE rules (34 CFR 300.203-205), TEA's MOE review methodology, and the excess-cost/proportionate-share formulas into a spec. Interview 8-10 TX special-ed directors / ESC federal-programs staff to validate the workpaper format and pain. Build the calculation core with a test suite of worked examples.
60-day build
Ship the MVP web app with baseline storage, the four tests + exceptions, excess-cost and proportionate-share, and workpaper export. Onboard 3-5 design-partner districts (or one ESC covering many small districts) at a discount for feedback.
90-day revenue plan
Convert design partners to paid annual subscriptions and sell into their ESC region by referral; target first ~15-30 paying districts. Add the early-warning in-year projection as the upsell that justifies renewal.
Distribution path
Sell through Texas's 20 regional Education Service Centers (each serves dozens-to-hundreds of LEAs) and special-ed director networks/listservs; demonstrate the tool by running a district's real numbers live. TASBO/TCASE-style practitioner communities. Land-one-district-then-the-region motion; ESCs are natural aggregators/resellers.
Pricing hypothesis
$1,000-$3,000/district/year tiered by enrollment; discounted multi-district/ESC bundles. A single avoided MOE refund dwarfs the subscription, which is the entire sales argument.
Technical difficulty
Low-to-moderate engineering; the hard part is domain correctness of the MOE/excess-cost formulas and exceptions, not the software. Data import from PEIMS/eGrants exports is the main integration wrinkle.
Legal / regulatory risk
Moderate. The tool computes a compliance determination the district relies on — must disclaim that the district remains responsible and ideally have output reviewed. Not a licensed-professional activity, but accuracy liability is real; mitigate with clear 'workpaper, not legal/audit advice' framing and a tested formula engine.
Platform dependency
None on a commercial platform. No app-store or platform owner can deplatform it. Dependency is on TEA/federal rule stability and on data export formats, which change slowly and predictably.
Founder fit
Very high. This is exactly the founder's proven shape (FMCSA ELDT portal filer tool): read a mandate, identify the forced-filer class, build the compliance/submission layer, charge per seat. Public-records + systems-thinking strengths apply directly; no relationship-sales requirement because value is demonstrated by running real numbers.
Breakout potential
High. IDEA Part B MOE is a federal requirement in all 50 states with near-identical math; Texas is the beachhead and the same engine replicates to 49 other states' LEAs (each with a state portal). Adjacent modules: Title I MOE/comparability, ESSER close-out, other formula-grant MOE. USAspending shows the same LEA-formula pattern in PA ($661M Title I) and CA ($1.995B Title I).
Final recommendation
BUILD as the founder's primary thesis. Strong forced-filer shape, appropriated money (FACT), a defined reachable buyer (TX LEA special-ed/federal-programs staff), a defensible domain-correctness wedge, no platform risk, and a clean 49-state replication path. Validate the free-template objection and ESC channel in the first 30 days before over-investing.
Next action
Interview 8-10 Texas special-ed directors and at least two ESC federal-programs staff this week to confirm how MOE is computed today, whether they'd pay $1-3k/yr, and whether ESCs would resell — then lock the workpaper format they'd actually file.