Launch HN: Didit (YC W26) – Stripe for Identity Verification

Source: Hacker News

Introduction

Hi HN, I’m Alberto. I co‑founded Didit (https://didit.me) with my identical twin brother Alejandro. We are building a unified identity layer—a single integration that handles KYC, AML, biometrics, authentication, and fraud prevention globally. Here’s a demo: .

Why identity matters to us

Being identical twins, we’ve spent our whole lives dealing with identity confusion, so it’s a bit of irony that we ended up building a company to solve it for the internet.

The problem with “global identity”

• Fragmented stack for engineering teams

  • One provider for US driver’s licenses
  • Another for NFC chip extraction in Europe
  • A third for AML screening
  • A fourth for government database validation in Brazil
  • A fifth for liveness detection on low‑end Android devices
  • Yet another for biometric authentication and age estimation

• Orchestration nightmare – complying with localized regulations (GDPR, CCPA, etc.) is difficult.

• Enterprise solutions drawbacks

  • A three‑week sales cycle just to see a single page of documentation
  • Hidden pricing behind “Contact Us” buttons
  • Bloated legacy systems with high latency and poor accuracy

• Device compatibility issues – many tools are optimized only for the latest iOS hardware, performing poorly on the mid‑range or older Android devices that dominate the market. This creates a leaky funnel where legitimate users drop off and fraud goes undetected.

• Pricing barriers – massive annual commitments that price out early‑stage startups.

Our vision: “Stripe for identity”

We wanted a system that is:

• Accessible to everyone – get a sandbox key in seconds and start running real verifications.
• Transparent – clear, success‑based pricing without hidden sales calls.
• Fast and reliable – works on low‑bandwidth (3G) connections and low‑end devices.

Full vertical integration

Instead of merely wrapping existing APIs, we built our own:

• ID verification and biometric AI models (classification, fraud detection, OCR for almost every language)
• End‑to‑end data flow control, eliminating third‑party black boxes and regional middle‑men
• Security and privacy guarantees that are impossible for pure orchestration layers

This allows us to offer data minimization: a business can verify a specific attribute (e.g., “is this person over 18?”) without ever seeing the full document.

Benefits

• Higher onboarding rates – optimized SDK for spotty networks and low‑end hardware.
• Lower identity costs – transparent, success‑based pricing.
• Reduced manual review – high‑confidence automated loop cuts manual effort by up to 90%, catching deepfakes and spoofing attempts that standard vision models miss.

Try it now

The platform is fully live. Jump into the dashboard to see the workflow orchestration immediately: .

We want your feedback

We’re here all day to answer any question—whether it’s about NFC verification, deep‑fake detection, biometric data ethics, or the future of identity. We’d love your brutal HN feedback on our APIs, platform, and integration flow!