Immigration applicants share timelines in scattered Reddit posts and forums with no way to systematically search, filter, or benchmark their own case against similar ones
Structured platform where users input their case milestones, then search and filter thousands of timelines by EB category, field office, priority date, and nationality to set realistic expectations
Freemium - free to browse, $4.99/mo to unlock advanced filters and export data; B2B tier for immigration law firms at $49/mo for client-facing reports
Immigration anxiety is extreme — people's careers, families, and legal status depend on processing times. The current information landscape is fragmented across Reddit, Trackitt forums, and unreliable USCIS estimates. Every applicant obsessively searches for comparable timelines. This is a hair-on-fire problem for millions of people.
TAM: ~5M+ active immigration applicants in the US at any given time across all categories. SAM for the engaged segment who actively track timelines: ~1-2M. SOM for a freemium product in year 1: 50-100K users. The B2B layer (immigration law firms, ~15,000 in the US) adds meaningful upside. Not a billion-dollar TAM, but solidly mid-market.
Mixed signals. Immigration applicants already spend $5K-$20K+ on attorneys and filing fees, so $4.99/mo is trivial in context. However, existing free alternatives (Trackitt, Reddit) set a free expectation. Lawfully has proven some willingness to pay for premium features. The B2B tier at $49/mo for law firms is more defensible — attorneys bill $300+/hr and need client-facing data. Consumer conversion will likely be 2-4%, B2B is the real monetization lever.
Straightforward CRUD application with structured data entry, search/filter, and basic analytics. No AI required for MVP. Standard web stack (Next.js + Postgres) handles this easily. The main challenge is cold-start data seeding — consider scraping/structuring existing public Reddit and Trackitt data. A solo dev can build a solid MVP in 4-6 weeks.
Despite multiple players, NO ONE has nailed the structured, filterable timeline database. Trackitt has the data but terrible UX and no real filtering. Lawfully focuses on individual tracking, not comparative analysis. VisaJourney is family-visa focused. Reddit has rich data but zero structure. The specific combination of structured input + multi-dimensional filtering + modern UX is genuinely unserved. This is a clear gap.
Immigration cases typically last 6-24 months, creating a natural usage window. Users churn once approved. This limits LTV compared to evergreen SaaS. However, new applicants constantly enter the funnel, so acquisition can offset churn. The B2B tier has better retention — law firms handle cases continuously. Consider expanding to green card renewal, citizenship, or other post-approval milestones to extend lifecycle.
- +Clear and validated pain point — millions of people actively seek this exact data on Reddit and forums daily
- +Wide-open competitive gap despite existing players; no one has built the structured, filterable experience
- +Low technical complexity means fast, cheap MVP with high polish potential
- +Built-in viral loop — users contribute data to get data, and share timelines naturally
- +B2B upsell to immigration attorneys provides a higher-margin revenue path
- !Cold-start problem: the product is only valuable with sufficient data density per category/office/nationality combo — need aggressive seeding strategy
- !User churn is structural: once a case is approved, most users leave — LTV is capped at 6-24 months
- !Trackitt could modernize their UI and add filtering, leveraging their 15+ years of data
- !Data accuracy risk: users may misreport milestones or self-select (people with fast cases more likely to post), creating biased benchmarks
- !Lawfully has VC funding and could pivot into this exact feature set quickly
Crowdsourced immigration case tracker where users post timelines and processing updates. Has forums organized by visa category with timeline data going back 15+ years.
Mobile app that tracks USCIS case status via receipt number and provides estimated processing times using crowdsourced data and USCIS published times.
Community-driven immigration portal with timeline tracking primarily focused on family-based and K-1 visa categories. Users create detailed case timelines.
Aggregates USCIS processing time data and visa bulletin information into a cleaner interface than the USCIS website. Provides historical trends.
USCIS's own online tool showing estimated processing times by form type and service center/field office.
Web app with: (1) Structured timeline submission form (case type, field office, nationality, priority date, key milestone dates), (2) Browse/search page with filters for EB category, field office, nationality, and date range, (3) Simple stats per filter combo (median processing time, range, sample size). Seed initial data by scraping and structuring 500-1000 timelines from Reddit r/USCIS and Trackitt. Skip user accounts for browsing — require account only to submit. No mobile app needed at launch.
Free browsing with basic filters → $4.99/mo unlocks advanced filters (multi-field office comparison, nationality breakdown, export to CSV, email alerts when new matching timelines are added) → $49/mo B2B tier for law firms (client-facing reports with firm branding, bulk data access, API) → Scale via data licensing to immigration analytics firms and policy researchers
8-12 weeks. 4-6 weeks to build MVP and seed data, 2-4 weeks to acquire initial users via Reddit r/USCIS, r/immigration, and immigration forums. First paying users likely from power users who want export/alerts. B2B revenue in 3-6 months after building the law firm dashboard.
- “Post structured as detailed timeline 'for reference' showing demand for shared data”
- “Comments immediately ask qualifying questions (dependents, local FO) to calibrate their own expectations”
- “Posted in a subreddit dedicated to USCIS case tracking”