Didit (YC W26) – Stripe for Identity Verification
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: https://www.youtube.com/watch?v=eTdcg7JCc4M&t=7s.Being identical twins, we’ve spent our whole lives dealing with identity confusion, so it is a bit of irony that we ended up building a company to solve it for the internet.Growing up in Barcelona, we spent years working on products where identity issues were a massive pain. We eventually realized that for most engineering teams, "global identity" is a fiction—in reality it is a fragmented mess. You end up stitching together 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, and yet another for biometric authentication and age estimation. Orchestrating these into a cohesive flow while adapting to localized regulations like GDPR or CCPA is a nightmare that makes no sense for most teams to be working on.When we looked at the existing "enterprise" solutions, we were baffled. Most require a three-week sales cycle just to see a single page of documentation. Pricing is hidden behind "Contact Us" buttons, and the products themselves are often bloated legacy systems with high latency and abysmal accuracy.We also noticed a recurring pattern: these tools are frequently optimized only for the latest iOS hardware, performing poorly on the mid-range or older Android devices that make up a huge percentage of the market. This results in a "leaky" funnel where legitimate users drop off due to technical friction and fraud goes undetected because data points are spread across disparate systems. Also, these systems are expensive, often requi
FL score
out of 100
Verdict
high confidence
Competition
15
competitors found, emerging market, big tech present, funded players
Trend
6 community mentions
A critical problem in identity verification for businesses, but too complex, resource-intensive, and competitive for a solo builder.
The pain
The gap
Build angle
Strengths
- Extremely high and urgent pain point for businesses.
- Clear willingness to pay (competitors charge high fees).
- Large and growing market driven by fraud and regulation.
- Specific, addressable complaints about existing solutions.
Risks
- Extreme technical complexity for a solo builder (global integrations, biometrics, AI, compliance).
- Highly competitive market with funded startups (Jumio, Veriff) and Big Tech (Stripe Identity).
- Significant regulatory and compliance overhead globally.
- High capital and resource requirements, unsuitable for solo operations.
- Difficult to define a narrow, shippable MVP that competes effectively.
- High sales cycle for enterprise adoption, challenging for micro-SaaS.
Next steps
- Re-evaluate for a specific, ultra-niche identity pain point that is both simple to build AND has zero competition from funded players.
- Consider a completely different problem space more aligned with solo builder capabilities and lower capital requirements.
Fly Labs Method
Is the pain real, is there a gap, is it the right time, can one person build it.
- Problem clarity
- 28
- Solution gap
- 14
- Willingness to pay
- 23
- Buildability
- 0
High pain, high willingness to pay, but extreme build complexity and crowded market for a solo builder.
Value Equation
Dream outcome and how likely it feels, against the time and effort it costs.
Strong market pain and growth, but highly complex to build and compete against incumbents.
One-Person Business
Curiosity pull, identity fit, and a path from free value to paid for a solo creator.
Clear problem, but too complex and resource-intensive for a solo founder.
Viral Frameworks
Hook strength, shareability, and how cheaply it can be tested.
Clear value proposition for a complex problem, but poor fit for micro-SaaS distribution and solo build.
Builder Lens
Evidence the problem exists, timing, defensibility, and a model that fits on a napkin.
High demand and problem severity, but too broad and unproven for a solo builder's narrow wedge.
Why this verdict
Five lenses, one composite. How scoring works
The angle
This weekend
- Re-evaluate for a specific, ultra-niche identity pain point that is both simple to build AND has zero competition from funded players.
- Consider a completely different problem space more aligned with solo builder capabilities and lower capital requirements.
Who is already there, emerging market
- Stripe IdentityFunded
Stripe's own KYC and identity verification API integrated with payments.
Pricing: $800/mo or per verification
- idOS_networkFunded
Decentralized reusable identity platform for web3 KYC/AML, verify once use everywhere, privacy-preserving.
Pricing: unknown
- DeepIDV
Free age verification and KYC API for startups needing compliance.
Pricing: free for startups
- Tonomy
Reusable KYC with Autonomous ID Vault, zero-knowledge proofs for privacy.
Pricing: unknown
- Swisstronik
Decentralized Identity (SDI) for KYC compliance with privacy and anti-bot.
Pricing: unknown
- SimplAI
AI Agent for end-to-end KYC verification automation.
Pricing: unknown
A leading provider of identity verification solutions, offering identity verification, document verification, authentication, AML screening, and proof of residence.
Pricing: Customized based on services and volume, with identity verification ranging from $1.00-$2.50 per transaction.
An identity verification platform providing identity and document verification, AML screening, biometric authentication, and fraud protection.
Pricing: Starts at $0.80 per verification with monthly minimums of $49 for the Essential plan, $1.39 with $99 for Plus, and $1.89 with $209 for Premium. Custom plans are also available.
A unified identity verification platform that helps businesses manage verification, combat fraud, and adhere to compliance standards like KYC and AML.
Pricing: Essential plan starts at $250/month for 500 free services, with additional services at $1.50 each. Growth and Enterprise plans offer custom pricing.
An identity verification solution provider that automates the verification process during customer onboarding, focusing on document and biometric verification.
Pricing: Custom pricing based on verification volume, type of services, geographical coverage, and business size. Median annual spend is approximately $60,475.
Not detailed in search results, but generally known as an identity verification platform with strong fraud prevention capabilities.
Pricing: Not explicitly stated in search results.
A global identity verification service providing instant online identity, document, and business verification for KYC and AML compliance across 195 countries.
Pricing: Entry-level pricing starts at approximately $99 USD per month, with variations based on transaction volume, geographic coverage, and verification type.
Gaps they leave open
- reusable one-time verification across platforms
- decentralized privacy-preserving proofs
- AI-powered automation to reduce manual work
- better scaling for high-volume without failures
What people say, 6 mentions
No, You Can’t Just Vibecode DocuSign
r/SaaS
What do you use to sell licenses for your desktop app? Lemon Squeezy was a nightmare.
r/SaaS
Solo Tech Founder Built This Trust/Verification SaaS
r/Entrepreneur
Identity Verification for P2P transactions
r/SaaS
I built an AI second brain before building my SaaS — here's the system and what I learned
r/SaaS
I niched down to one framework, one workflow, and one command.. here's why
r/SaaS
Recent news
Launch HN: Didit (YC W26) – Stripe for Identity Verification
Hacker News, March 10 2026
Didit Raises $2M & Joins Y Combinator W26!
Didit, December 02 2025
Market signals
The identity verification market is large and highly regulated, with increasing urgency due to deepfake and AI fraud, creating a strong demand for advanced NFC+biometric solutions, with EU regulatory tailwinds favoring certified players.
Semble – Code search for agents that uses 98% fewer tokens than grep
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Postgres extension for BM25 relevance-ranked full-text search
Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too.The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our own extension appeared daunting. We'd need a small team of sharp engineers and 6-12 months, I figured. And we'd probably still fall short of the performance of a mature system like Parade/Tantivy.Or would we? I'd be experimenting long enough with AI-boosted development at that point to realize that with the latest tools (Claude Code + Opus) and an experienced hand (I've been working in database systems internals for 25 years now), the old time estimates pretty much go out the window.I told our CTO I thought I could solo the project in one quarter. This raised some eyebrows.It did take a little more time than that (two quarters), and we got some real help from the community (amazing!) after open-sourcing the pre-release. But I'm thrilled/exhausted today to share that pg_textsearch v1.0 is freely available via open source (Postgres license), on Tiger Data cloud, and hopefully soon, a hyperscalar near you:https://github.com/timescale/pg_textsearchIn the blog post accompanying the release, I overview the architecture and present benchmark results using MS-MARCO. To my surprise, we were not only able to meet Parade/Tantivy's query performance, but exceed it substantially, measuring a 4.7x advantage on query throughput at scale:https://www.tigerdata.com/blog/pg-textsearch-bm25-fu
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Consus (YC F24) – LLM gateway for companies handling sensitive data
Hey Hacker News! I'm Eric, the founder of Consus. We route all AI requests to ITAR restricted and controlled unclassified information (CUI) compliant infrastructure. Consus itself satisfies ITAR restrictions, and we recently completed our FedRAMP equivalency audit against the 410 FedRAMP High controls. FedRAMP High is the U.S. government’s strictest security baseline for cloud services handling sensitive unclassified data. A breach of this data could cause severe or catastrophic harm. Achieving FedRAMP equivalency, or authorization, is required before processing CUI information.Demo: https://youtu.be/6MYxJe6P4oYAerospace and defense is experiencing rapid growth. Unfortunately, most companies are struggling to use AI because of necessary data protections & compliance risk. These companies can move even faster if they could use the AI tools that most other industries take for granted.I spent most of my career prior to Consus in aerospace & defense. I launched national security payloads at SpaceX, and was an early employee at Castelion. I’ve watched first hand how compliance red-tape makes it difficult for companies to adopt new technologies and trust vendors that touch their sensitive data. For example, I worked with a satellite manufacturer that doesn’t allow any AI tools, even for non-sensitive work.Even as AI has become extremely useful over the past 9-12 months, I was surprised by how many aerospace & defense companies refused to touch it. They could see how it could be helpful, but they were scared about model providers training on their data, violating an ITAR rule, or risk losing new business because of a failed cyber assessment. These are all rational fears.There were a lot of ways to solve some/all of these problems, but we focused on building a compliant AI inference layer that can "plug" into any AI tool or workflow. Just as OpenRouter integrates with most tools, Consus can connect to tools like ChatGPT or Clau
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