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Fatomi
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Fatomi's answer
Recruiters and Talent acquisition specialists
Fatomi's answer
Fatomi is the only AI recruitment platform built entirely around the recruiter's workflow โ 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 โ you only pay for scale (tokens and seats), not for features. Data is hosted in the EU (Frankfurt) and fully GDPR-compliant by default.
Fatomi's answer
Fatomi replaces 4โ5 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 โ 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.
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.
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 โ 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
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.
Based on our record, GitHub seems to be more popular. It has been mentiond 2466 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 4 hours ago
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 9 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
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