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Dassh.AI is an AI-driven behavioral and hiring intelligence platform that helps organizations evaluate candidates beyond their rรฉsumรฉs. By combining psychology-based job modeling with advanced large language models, Dassh.AI automates the process of behavioral assessment, culture-fit analysis, and interview intelligence โ enabling faster, fairer, and higher-quality hiring decisions.
The platform simulates real interview interactions through AI-led conversations, asking situational and follow-up questions to uncover key traits like problem-solving, innovativeness, and analytical thinking. Each candidateโs responses are then analyzed to generate a comprehensive behavioral report with scores, insights, and recommendations.
Dassh.AI integrates seamlessly with ATS systems and offers modular workflows for CV screening, AI-led candidate calls, and culture-fit evaluations, allowing talent teams to customize their recruitment process end-to-end.
In short, Dassh.AI acts as your AI-powered recruiter and cultural interviewer โ saving bandwidth, reducing time-to-hire by up to 40%, and improving the quality of every hire.
GitHubDassh's answer:
Behavioral Science + AI Fusion Dassh.AI combines the HAY Job Evaluation framework with LLM-powered situational judgment testing to assess traits like innovativeness, leadership, and analytical thinking โ going far beyond skill-based screening.
Dynamic, Human-Like Conversations Unlike traditional forms or MCQs, Dassh.AI conducts AI-led interviews that adapt to each candidateโs responses โ asking follow-up questions like a real interviewer would.
End-to-End Recruitment Intelligence From CV scoring (L1) to AI-led calls (L2) and behavioral assessments (L3), Dassh.AI can automate the entire hiring workflow or plug into existing ATS tools seamlessly.
Culture-Fit as a Core Metric Dassh.AI helps companies define and measure their organizational values and culture-fit parameters, ensuring every new hire aligns with how the team truly works.
Scientifically Structured, Yet Customizable Every question set, scoring rubric, and behavioral trait map can be customized to your companyโs culture, job role, and competency model.
Dassh's answer:
Most hiring tools measure skills; Dassh measures mindset.
Competitors rely on static psychometric tests โ Dassh conducts interactive, adaptive interviews that evolve dynamically.
While most solutions stop at assessments, Dassh.AI integrates across your entire recruitment pipeline โ from resume parsing to final behavioral analytics.
It delivers deep candidate insights that recruiters can act on, saving up to 40% of time-to-hire and significantly improving shortlist quality.
Dassh's answer:
Dassh.AI is built for:
Mid-sized companies (100โ500 employees) with in-house recruitment teams seeking cultural and behavioral fit assessments.
Early-stage startups (15โ100 employees) who need recruitment-as-a-service support โ from CV screening to shortlisting.
Recruitment agencies (1โ10 people) looking to automate candidate screening and qualification.
Core buyers: CHROs, Talent Acquisition Heads, and Founders focused on quality hiring and bandwidth optimization.
Based on our record, GitHub seems to be more popular. It has been mentiond 2467 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.
$ git pull Remote: Repository not found. Fatal: repository 'https://github.com//.git/' not found. - Source: dev.to / 1 day ago
// ==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 / 4 days 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 / 5 days 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 / 8 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 / 13 days ago
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