Asylum applicants have no reliable way to know where they stand in the process, what realistic timelines look like, or what's happening to similar cases — leading to years of anxious uncertainty and reliance on fragmented Reddit threads for information.
A platform where immigration applicants anonymously log their case milestones (filing date, biometrics, interview, decision) creating a real-time processing time database. Users can filter by case type, office, filing year, and nationality to see realistic timelines and spot systemic pauses or speedups. Attorneys get aggregate analytics dashboards.
Freemium — free basic timeline lookup; subscription ($10/mo individuals, $149/mo law firms) for detailed analytics, office-level breakdowns, predictive estimates, and case comparison tools
This is existential-level pain. Asylum seekers are waiting years with their lives in limbo — unable to work legally in some cases, separated from family, facing potential deportation. The Reddit post shows someone waiting 11 YEARS. When people say 'just wanted to vent my frustration,' they're describing genuine psychological suffering caused by information asymmetry. Few consumer pain points are this intense. People literally cannot plan their lives.
The asylum backlog alone is ~3.7M cases, but the PAYING market is smaller. Many asylum seekers have limited financial resources — $10/mo is meaningful to them. The real TAM expansion comes from: (1) immigration attorneys (~15K+ practicing, $149/mo is easy for them), (2) broader immigration applicants beyond asylum (H-1B, family-based — millions more), and (3) legal aid organizations. Realistic near-term TAM: $50-100M if you nail the attorney segment. Individual consumer revenue will be modest.
Mixed signal. Asylum seekers are desperate for this information but many have limited disposable income. The $10/mo individual tier will see low conversion — most will use the free tier. However, immigration attorneys absolutely will pay $149/mo for aggregate analytics that help them advise clients and identify trends (similar to how Clio/MyCase charge for legal tools). Law firms are the real revenue engine. The challenge: free Reddit data is 'good enough' for many individual users even though it's terrible — classic free-vs-paid friction.
A solo dev can absolutely build the MVP in 4-8 weeks. Core stack: form-based data entry, database, filtering/aggregation queries, basic charts. No ML needed for V1 — simple percentile calculations work. USCIS receipt number scraping via their API is well-documented. The hard part isn't the code — it's bootstrapping the data (cold start problem). You'll need to seed with historical Reddit data scraping and possibly FOIA data. Authentication can be simple (anonymous submissions with optional accounts).
This is the strongest signal. Trackitt exists but is essentially dead product-wise and weak on asylum. Lawfully is polished but employment-visa focused. USCIS's own tool is famously useless for asylum. Nobody has built a dedicated asylum-focused tracker with community verification, attorney analytics, and office-level breakdowns. The gap is wide and real. The Reddit community IS the competitor, and it's an unstructured mess — structuring that data is a clear value-add.
Natural subscription fit because asylum cases take YEARS — users need ongoing tracking for 2-10+ years. Attorneys need continuous analytics. However, individual churn is inevitable once a case resolves (or is denied). The key is: (1) cases last so long that LTV is decent even with eventual churn, (2) attorney subscriptions are sticky and recurring, (3) new asylum seekers enter the system continuously. The backlog itself is your retention engine.
- +Extreme pain intensity with zero adequate solutions — the gap between user suffering and available tools is massive
- +Wide competition gap — nobody owns the asylum-specific tracking niche despite millions of affected people
- +Natural network effects — every data point makes the platform more valuable for all users
- +Attorney B2B revenue channel solves the 'users can't pay' problem — $149/mo x 1000 firms = $1.8M ARR
- +Long case durations create natural multi-year retention without needing to re-acquire users
- +Political tailwinds — increasing backlogs and policy volatility make this MORE needed, not less
- !Cold start problem is severe — the product is only valuable with enough data, but users won't contribute without seeing value first. You MUST solve this with scraped/seeded data before launch
- !Asylum seekers have limited ability to pay — individual subscription revenue may disappoint. The business MUST pivot toward attorney/B2B revenue quickly
- !Data accuracy and verification is genuinely hard — bad data (intentional or accidental) could mislead vulnerable people with life-altering consequences. Liability risk is real
- !Political sensitivity — immigration is hyper-politicized. The platform could face pressure, bad press, or even government scrutiny depending on political climate
- !Community trust is critical and fragile — one data breach or doxxing incident with asylum seeker data could be catastrophic (these are people fleeing persecution)
- !Regulatory risk — if USCIS changes policies, APIs, or receipt number formats, your data pipeline breaks
Crowdsourced immigration case tracker where users log milestones and processing times. Covers green cards, H-1B, and other visa types. Users can filter by service center, category, and date range to see timelines.
AI-powered immigration case tracking app that pulls from USCIS API and crowdsourced data. Provides push notifications on case status changes, processing time estimates, and community features.
Community-driven immigration timeline tracker focused primarily on family-based and K-1 fiancé visas. Users log case milestones and share timelines.
USCIS's own website tool showing estimated processing time ranges by form type and service center/field office.
Not a product but the de facto information source — Reddit threads where asylum applicants share timelines, ask questions, and vent about wait times. Fragmented, unstructured, but heavily used.
Week 1-2: Build a simple form where users anonymously log case milestones (I-589 filing date, biometrics date, interview date, decision date) along with metadata (asylum office, nationality, case type affirmative/defensive, filing year). Week 3-4: Build the query/filter interface — let users filter by office + filing year + case type to see processing time distributions as simple bar charts. Week 5-6: Seed the database by scraping r/USCIS, r/immigration, Trackitt, and VisaJourney for historical asylum timeline data points (even 500-1000 data points makes it useful). Week 7-8: Add email alerts for 'cases similar to yours' updates and a basic attorney dashboard showing aggregate trends. Launch on Reddit where the community already lives.
Free tier: basic timeline lookup and ability to log your own case → $10/mo individual premium: percentile ranking ('your case is slower than 73% of similar cases'), predictive estimates, office-level breakdowns, email alerts → $149/mo attorney tier: aggregate analytics dashboard, trend reports, case comparison tools, exportable data → $499/mo enterprise tier for large immigration law firms and legal aid organizations with API access and white-label reports → Long-term: anonymized aggregate data licensing to immigration policy researchers and legal organizations
8-12 weeks to first dollar. Individual subscriptions will trickle in slowly (expect <$500/mo in months 1-3). Attorney revenue takes longer to close (3-6 months for meaningful B2B pipeline). Realistic milestone: $2-5K MRR by month 6 if you nail the Reddit community launch and actively sell to immigration attorneys. Path to $10K MRR in 12-18 months.
- “After having been waiting for 11 years”
- “It's been 90 days and nothing has changed to my knowledge”
- “I'm sure many are in my shoes too here”
- “Just wanted to vent and express my frustration”