Diffyn VS Fatomi

Diffyn's answer

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Fatomi's answer:

Fatomi is the only AI recruitment platform built entirely around the recruiter's workflow — not around administration. Unlike traditional ATS tools, Fatomi covers the full cycle in one place: job creation, CV parsing, AI-powered candidate matching with scored explanations, LinkedIn sourcing, interview question generation, and interview transcription. Every plan includes all modules — you only pay for scale (tokens and seats), not for features. Data is hosted in the EU (Frankfurt) and fully GDPR-compliant by default.

Diffyn's answer

Diffyn is the platform that specializes on both change management and multi-model analysis.

Fatomi's answer:

Fatomi replaces 4–5 separate tools with one platform: no more switching between a sourcing tool, a CV parser, a matching spreadsheet, and an interview prep tool. The AI matching engine doesn't just give a score — it explains every decision, so recruiters understand why a candidate fits (or doesn't). Unlike Workable or Lever, Fatomi is built specifically for AI-first recruiting, not retrofitted with AI as an add-on. Pricing is transparent and fair: all features are available on every plan, including the free tier.

Diffyn's answer

React, Next.js, POSTGRESQL

Fatomi's answer:

Fatomi is built on Supabase (PostgreSQL, hosted in Frankfurt, EU) for data storage and Row Level Security. The AI layer uses large language models for CV parsing, job analysis, and candidate matching. LinkedIn sourcing is powered by Apify. Interview transcription uses Groq Whisper. The frontend is a modern web application. Payments are processed via Stripe.

Diffyn's answer

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

Fatomi's answer:

Fatomi's primary audience is in-house recruiters and talent acquisition professionals at SMEs and scale-ups, as well as recruitment agencies managing multiple clients and high volumes of CVs. It's designed for teams of 1 to 30 recruiters who need to move fast on technical or specialist roles without a large HR ops budget. Secondary audience: HR managers who want to bring structure and traceability to their hiring process.

Diffyn's answer

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

Fatomi's answer:

Fatomi was built out of frustration with the gap between what modern AI can do and what recruiters actually had access to. Sourcing was still manual, CV review was still subjective, and every tool in the recruiter's stack was disconnected. The founding team set out to build a single, recruiter-native AI platform — one that handles the full hiring workflow, speaks the recruiter's language, and is affordable enough for any team size. The result is Fatomi: fast, explainable, GDPR-ready AI for recruiters.

Fatomi's answer:

Recruiters and Talent acquisition specialists