Critical immigration intel like 'Meta has frozen PERM' spreads only through rumors and Reddit threads — there's no reliable, centralized source for H1B holders to check before accepting an offer.
Crowdsourced + public-data platform aggregating PERM filing activity (from DOL data), user-reported sponsorship freezes, layoff patterns by visa status, and company immigration timelines. Think Glassdoor but specifically for immigration sponsorship reliability.
Freemium — free basic search, $19/month for alerts on company sponsorship changes, detailed timelines, and verified data points. B2B tier for immigration law firms.
This is existential-level pain. H1B holders face deportation if they lose sponsorship — it's not a nice-to-have, it's 'will I have to leave the country in 60 days.' The Reddit thread shows people making career-defining decisions (Meta vs. no-name company) based on unverified rumors. Bad information here can cost someone their entire US life. Few problems have higher stakes for the individual.
TAM is meaningful but bounded. ~600K-1M active H1B holders in the US, plus ~200K new applicants/year. At $19/month, if you capture 2% of active job-searchers (maybe 100K at any time), that's ~$38M ARR ceiling. B2B tier for ~10K immigration attorneys adds upside. Not a billion-dollar market, but solid for a bootstrapped/small-team business. Niche but deep.
H1B holders skew high-income ($100K+ median salary in tech). They already pay $2-5K for immigration attorneys. $19/month is trivial relative to the stakes (potential deportation, career derailment). The challenge is that free data (H1BData, forums) sets a baseline expectation. The premium must clearly be 'real-time intelligence you can't get elsewhere.' Attorneys and recruiters have clearer budget lines for data tools.
DOL PERM data is publicly available and downloadable. H1B LCA data is also public. A solo dev can build an MVP aggregating public data + a crowdsourced reporting layer in 4-6 weeks. The hard part isn't building — it's data quality and trust. Verifying crowdsourced reports (preventing misinformation about sponsorship freezes) is a design challenge, not a technical one. No complex ML or infrastructure needed for V1.
This is the strongest signal. Every existing tool is either backward-looking (DOL data dumps months old) or unstructured (Reddit, forums). NOBODY is doing real-time sponsorship intelligence with alerts. The gap between 'checking Reddit threads for rumors about Meta freezing PERM' and 'getting a push notification when 3+ verified reports confirm Meta froze PERM' is enormous. This specific combination does not exist.
Strong recurring potential during active job search and green card processing (which takes 2-7 years). Churn risk: once someone gets their green card or leaves the US, they cancel. The immigration journey is long enough (H1B -> PERM -> I-140 -> I-485, often 5-10 years) to support multi-year subscriptions. B2B attorney subscriptions would have lower churn. Seasonal spikes around H1B lottery (March-April).
- +Existential-level pain with no current structured solution — people are making life-altering decisions based on Reddit rumors
- +Massive competition gap: real-time sponsorship intelligence doesn't exist anywhere, all competitors are backward-looking or unstructured
- +High-income target audience ($100K+ earners) who already spend thousands on immigration services
- +Public DOL data provides a strong free foundation — crowdsourced layer adds the unique real-time value
- +Natural B2B expansion to immigration attorneys and corporate recruiters who need this data professionally
- !Cold-start problem: crowdsourced data is only valuable with enough contributors — early platform will feel empty
- !Misinformation liability: if someone rejects a job offer based on your unverified 'PERM freeze' report and it's wrong, trust is destroyed and legal risk emerges
- !Immigration policy could shift to reduce H1B population (restrictive policies = smaller TAM, though ironically increases anxiety and demand for intel)
- !Free alternatives (Reddit, forums, H1BData) set strong price anchors — must clearly demonstrate premium value over free sources
- !Sensitive data territory: aggregating employer immigration behavior could attract legal attention from companies that don't want this data publicized
Free database of H1B employer filings from DOL LCA data. Shows salaries, job titles, approval rates by company.
Aggregates H1B, PERM, and green card sponsor data from DOL filings. Includes employer rankings, processing times, and salary comparisons.
Tracks tech layoffs in real-time with crowdsourced data. Shows company, headcount, date, and sometimes visa impact.
General employer review platform where some users mention sponsorship experiences in interview/company reviews.
Immigration forums and case trackers where users share PERM/I-140/I-485 timelines and experiences with specific employers.
Week 1-2: Ingest DOL PERM disclosure data and H1B LCA data into a searchable database with company profiles showing filing volume, approval rates, and trends over time. Week 3-4: Add a crowdsourced reporting layer — simple form: 'Report a sponsorship freeze / PERM delay / layoff impacting visa holders' with company name, date, and optional evidence. Show reports with credibility scores (more reports = higher confidence). Week 5-6: Email/push alerts when a tracked company has new reports or significant filing changes. Ship with 50 pre-populated company profiles (FAANG + top H1B sponsors) using public data. Seed initial crowdsourced data from existing Reddit threads (with attribution).
Free tier: search company PERM history from public DOL data, see aggregate stats → $19/month Pro: real-time alerts on tracked companies, crowdsourced intel feed, detailed timelines, 'sponsorship reliability score' → $49/month for attorneys/recruiters: bulk data access, client-facing reports, API access → Enterprise: custom dashboards for immigration law firms managing portfolios of clients across employers. First revenue target: launch with Pro waitlist, convert early community members.
8-12 weeks. First 4-6 weeks building MVP with public data. Weeks 6-8 seeding community and getting initial users from Reddit/H1B communities. Weeks 8-12 converting engaged users to Pro tier. First paying customers likely immigration attorneys who see immediate professional value. Consumer subscriptions follow once alert system proves valuable during a real sponsorship freeze event.
- “Meta has frozen the PERM test for quite a while”
- “Meta is not doing perm. Even if they start the process, LMT will be tough to pass”
- “Big corps love laying off H1B”
- “rumors that the company might lay off 5-10%”