NeurNEUR

Methodology and technical overview

The verifiable details of Neur's feasibility engine — pillar weights for all 20 industry categories, verdict thresholds, startup cost planning ranges, data vintages and known limitations.

This page is the technical reference for how a Neur score is produced. It is kept current with the production engine; the date at the bottom is the last time it was checked against the code.

Scoring model

  • Five pillars (Market, Competition, Location, Financial, Personal), each scored, then weighted by industry category and summed to a 0–100 overall score.
  • Thresholds for market inputs are state-relative where possible, so a city is judged against its own state's medians rather than only national ones.
  • A demand signal from the industry's local employment trend feeds the Market pillar.
  • Household income is used once, in the Location fit, and is not double-counted in Market.
  • The Competition pillar combines a distance-weighted count of competitors within the trade radius, their average rating, the share of unrated listings, and saturation per resident.
  • The Financial pillar compares the stated budget with the industry's startup cost planning range (table below).
  • The Personal pillar is built from the questionnaire: industry experience, prior ownership, partners, commitment and timeline.

Pillar weights by industry category (percent)

Category Market Competition Location Financial Personal
Food & Beverage 20 20 25 20 15
Retail 20 20 25 20 15
E-commerce 25 20 5 25 25
Technology 30 15 5 20 30
Professional Services 20 15 5 20 40
Fitness 20 20 20 20 20
Health & Wellness 20 20 20 20 20
Childcare 25 15 20 20 20
Construction 25 20 10 25 20
Home Services 25 20 15 20 20
Beauty & Personal Care 20 20 25 20 15
Education & Tutoring 25 15 15 20 25
Real Estate 25 15 20 20 20
Hospitality 20 20 25 20 15
Entertainment 20 20 25 20 15
Automotive 25 20 20 25 10
Finance 20 15 10 20 35
Transportation 25 20 15 25 15
Agriculture 25 15 20 25 15
Manufacturing 25 15 15 25 20

The current engine version shifts up to 5 points from Personal to Market for every category, so a category listed with Personal 15 is scored with Personal 10 and Market +5. Any category not in the table uses 20/20/20/20/20 before that shift.

Verdict thresholds

80 and above: Strong Opportunity. 60–79: Promising. 40–59: Proceed with Caution. 20–39: High Risk. Below 20: Not Recommended Now.

Startup cost planning ranges (USD)

These are the industry-level ranges the Financial pillar compares against your budget. They are planning figures, not quotes.

Category Low High
Food & Beverage 50,000 300,000
Retail 25,000 150,000
E-commerce 2,000 25,000
Technology 5,000 50,000
Professional Services 5,000 30,000
Fitness 30,000 200,000
Health & Wellness 15,000 100,000
Childcare 30,000 150,000
Construction 25,000 200,000
Home Services 10,000 50,000
Beauty & Personal Care 20,000 100,000
Education & Tutoring 5,000 50,000
Real Estate 10,000 100,000
Hospitality 50,000 500,000
Entertainment 20,000 200,000
Automotive 50,000 300,000
Finance 15,000 75,000
Transportation 10,000 100,000
Agriculture 20,000 200,000
Manufacturing 50,000 500,000

Seed industries carry a more specific three-tier estimate (derived from typical ticket size and volume) that the report shows in its financial section.

Data vintages

  • Census ACS: 5-year estimates via the Census API. National reference medians in the engine are from ACS 2022.
  • BLS QCEW: latest available quarters, county level.
  • BLS CES: latest monthly national series.
  • Google Places: fetched at report time; competitor results are cached per business keyword and location.

Known limitations

  • ACS 5-year estimates smooth over recent change in fast-growing areas.
  • QCEW suppresses some small-county industry cells for confidentiality; where a cell is missing the engine falls back to broader geography and says so.
  • Google Places may omit very new businesses or include closed ones.
  • Online businesses skip the Competition and Location pillars in favour of a search-market analysis.
  • Scores are estimates. See Why Neur for the full list of caveats.

Infrastructure

  • Application: Next.js on Vercel. Database and authentication: Supabase. Payments: Stripe. Transactional email: Resend.
  • Sign-up and sign-in are protected by Cloudflare Turnstile.
  • Public endpoints for machines: /llms.txt, /llms-full.txt, /docs/neur.json, /sitemap.xml, /robots.txt.

Last checked against production code: 2026-09-07.

Last updated 2026-09-07 · Markdown version · All docs