6.9mediumCONDITIONAL GO

LotterySafe

A transparency dashboard for H-1B lottery applicants to check employer legitimacy before accepting sponsorship.

EducationH-1B visa applicants, international students evaluating job offers, immigrati...
The Gap

H-1B applicants have no easy way to verify whether a sponsoring employer is legitimate or a shell company, risking their visa status and career on fraudulent entities.

Solution

A searchable database that scores H-1B sponsoring employers on legitimacy signals — company age, address verification, filing history, officer cross-references, and petition volume anomalies — giving applicants a trust score before they commit.

Revenue Model

Freemium — free basic lookups, paid premium reports with detailed risk analysis and historical filing data

Feasibility Scores
Pain Intensity8/10

Extremely high stakes — applicants risk their legal status, career trajectory, and years of investment in U.S. education on a single employer choice. Getting scammed by a shell company can mean deportation. The pain is acute but affects a narrow population during a specific decision window (accepting an offer).

Market Size5/10

~400-500K unique H-1B registrants per year, plus ~200K international students evaluating offers annually. Immigration attorneys number ~15-20K. Total addressable market is likely $20-50M at best with premium pricing. This is a meaningful niche but not a massive market. TAM ceiling is real.

Willingness to Pay7/10

High-stakes decision (visa status, career) makes even $20-50 per report very justifiable. International students and H-1B applicants often already pay $2-5K+ for immigration attorneys. A $10-30/month subscription or $50 one-time deep report is easy to justify against those costs. Immigration attorneys would pay more for bulk access. However, many in this demographic are price-sensitive (students, early-career workers).

Technical Feasibility8/10

Core data is publicly available: USCIS H-1B data, state business registrations (Secretary of State APIs), LCA disclosures (DOL), SEC filings. A solo dev can build an MVP with a scraped/aggregated database, basic scoring algorithm, and simple search UI in 4-6 weeks. Address verification (Google Maps API) and officer cross-referencing add complexity but are tractable. No ML required for v1 — rule-based scoring works.

Competition Gap9/10

This is the strongest dimension. Nobody is doing legitimacy scoring for H-1B sponsors. Existing tools show statistics (approval rates, salaries) but none cross-reference business registrations, flag address anomalies, detect officer name recycling, or compute a trust score. The Reddit post that inspired this idea proves the analysis is currently manual and painful. This is a genuine whitespace.

Recurring Potential4/10

Weak recurring potential for individual applicants — they need this tool during a specific decision window (weeks/months), not year-round. Subscription makes more sense for immigration attorneys (ongoing client vetting) and possibly recruiters. Most individual users would prefer one-time report purchases. A monitoring/alert feature ('watch this employer for changes') could add some recurring value but feels forced.

Strengths
  • +Genuine whitespace — no one is doing H-1B employer legitimacy scoring despite clear demand
  • +High-stakes decision creates strong willingness to pay despite niche market
  • +Core data is public and technically accessible — no proprietary data dependencies
  • +Timely: H-1B fraud awareness is at an all-time high with regulatory and media attention
  • +Natural B2B expansion path to immigration law firms who would pay significantly more
Risks
  • !Small TAM ceiling — this is a niche tool for a specific population during a narrow decision window, not a platform play
  • !USCIS regulatory changes (beneficiary-centric selection, enhanced vetting) could reduce the shell company problem and shrink the need
  • !Legal risk: scoring employers as 'low trust' could invite defamation claims from flagged companies
  • !Data accuracy liability — if you give a clean score to a fraudulent company, or wrongly flag a legitimate one, trust erodes fast
  • !Seasonal demand heavily concentrated around H-1B registration period (March-April), creating lumpy revenue
Competition
H1BGrader.com

Free tool that shows H-1B approval rates by employer, job title, and salary data based on USCIS LCA/PERM filings.

Pricing: Free
Gap: No legitimacy scoring. Treats all employers equally — a shell company with 50 filings looks the same as Google. No address verification, no officer cross-referencing, no fraud signals.
MyVisaJobs.com

Aggregates H-1B, PERM, and green card sponsor data. Shows petition counts, salaries, denial rates, and trends by employer.

Pricing: Free with ads; premium reports ~$30-50
Gap: Purely statistical — no fraud detection layer. Doesn't flag suspicious patterns like sudden spikes in filings from newly registered companies, shared addresses across multiple sponsors, or recycled officer names.
USCIS H-1B Employer Data Hub

Official government tool showing petition volumes, approval/denial rates, and trends per employer.

Pricing: Free (government resource
Gap: Raw data only — no analysis, no legitimacy scoring, no cross-referencing with business registrations. Requires the user to manually investigate. No fraud signals whatsoever.
Open Secrets / GlassDoor / BBB (general business verification)

General-purpose business information and review platforms that some applicants cobble together to vet employers.

Pricing: Free to freemium
Gap: Not purpose-built for H-1B context. Don't cross-reference immigration filings. Shell companies specifically created for H-1B fraud often have no Glassdoor presence — absence of data is the signal, but these tools don't surface that insight.
Flagright / Dun & Bradstreet (KYB/business verification APIs)

Enterprise-grade Know Your Business platforms that verify company registrations, officers, addresses, and beneficial ownership.

Pricing: $500-5000+/month (enterprise SaaS
Gap: Built for banks and fintech compliance, not immigration. Prohibitively expensive for individual applicants. No H-1B-specific scoring or immigration filing integration. Requires technical integration — not consumer-facing.
MVP Suggestion

Searchable web app with employer lookup. Ingest USCIS H-1B employer data + state business registration records for top-filing states. Score each employer on 5 signals: company age vs. filing volume, registered address validation, officer name uniqueness, petition approval rate, and filing pattern anomalies. Free tier: basic score + company age. Paid tier ($15-30 one-time): full report with detailed breakdown, historical trends, and flagged anomalies. Ship with 10K+ employers pre-scored. No accounts needed for free tier.

Monetization Path

Free basic lookups (drive SEO + word of mouth) -> One-time premium reports $15-30 (individual applicants) -> Monthly subscription $49-99/month for immigration attorneys with bulk lookups and API access -> Enterprise/API tier for recruiting firms and immigration law firms at $200-500/month -> Potential data licensing to USCIS or anti-fraud organizations

Time to Revenue

6-10 weeks. 4-6 weeks to build MVP with pre-scored database, 2-4 weeks to get initial traction via Reddit (r/h1b, r/immigration, r/greencard), Blind, and immigration forums. Revenue timing is seasonal — launching before the March H-1B registration window would be ideal for maximum initial impact.

What people are saying
  • Shell companies gaming the lottery reduce legitimate applicants' chances
  • Companies registered at nonexistent addresses
  • Generic officer names reused across entities to obscure ownership
  • No easy way for applicants to verify employer legitimacy