
Cachely.dev
nxCloud
GCInterview
SimpleCitizen
Interview Prep AI
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.
Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.
Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.
GCInterview (Green Card Interview Prep) is a dedicated practice tool for the USCIS marriage-based green card (I-485) interview.
What it includes
Who it's for
Couples preparing for a marriage-based green card interview. In 2026 USCIS interviews nearly all I-485 applicants and separates spouses more often than in prior years, so preparation matters more than it used to.
Languages: English and Spanish.
Pricing: The question database and guides are free to browse. Full access โ unlimited AI mock interviews, the complete question bank, and Separate Rooms โ is a $19 one-time purchase. No subscription.
Built by a couple who went through the I-485 process themselves after finding that existing resources were either scattered free listicles or $300+ attorney consultations.
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GCInterview's answer:
GCInterview is the only interview prep tool built specifically for marriage-based green card (I-485) applicants. Instead of generic immigration info, it simulates the actual USCIS interview experience with an AI-powered officer who uses real interrogation techniques, including Stokes (separated room) interview practice. It was built by a couple who went through the process themselves.
GCInterview's answer:
Most competitors offer static lists of questions or general immigration advice. GCInterview gives you a realistic mock interview with an AI officer who adapts to your answers, catches inconsistencies, and uses the same pressure tactics real officers use. It also includes a Stokes interview simulator where couples practice being questioned separately - something no other tool offers. Plus, it's a one-time $19 payment, not a subscription.
GCInterview's answer:
Couples preparing for a marriage-based green card interview at a USCIS field office. Typically one partner is a US citizen (the petitioner) and the other is an immigrant (the beneficiary). They're usually anxious about the interview and want to feel prepared and confident before their appointment.
GCInterview's answer:
We built GCInterview while preparing for our own marriage-based green card interview. We couldn't find any tool that actually simulated the interview experience - everything was just blog posts with generic question lists. So we built what we wished existed: a realistic practice tool with an AI officer, evidence checklists, and Stokes interview prep. After using it for our own interview, we decided to make it available to other couples going through the same process.
GCInterview's answer:
React, Vite, Supabase (authentication and database), Stripe (payments), and Claude AI by Anthropic (powering the mock interview officer).
GCInterview's answer:
GCInterview serves individual couples preparing for their USCIS marriage-based green card interviews. As a consumer product, we focus on helping everyday couples rather than enterprise clients. We've helped couples from dozens of countries prepare for interviews at USCIS field offices across the United States.
nxCloud - nxCloud is a commercial OwnCloud provider
SimpleCitizen - Applying for US Immigration should be simple