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Haystack is a real-time delivery analytics platform designed for engineering leaders like CTOs, VPs of Engineering, Directors of Software Engineering, and Engineering Managers. Haystack provides actionable insights that enable data-driven decision-making, aligning engineering performance with business objectives. Haystack platform integrates seamlessly with essential developer tools like GitHub and JIRA, offering a comprehensive view of team productivity and delivery efficiency.
Leading companies like AngelList, Shutterstock, Schneider Electric, and many more trust Haystack to optimize their development processes. By transforming historical Git data into objective insights, we help you identify bottlenecks and visualize trends, ensuring timely project delivery and sustained business growth. Our analytics dashboard allows you to monitor critical metrics such as cycle time, making it easier to spot inefficiencies before they escalate into costly delays.
Haystack helps engineering leaders to mitigate risks and improve workflow efficiency. With a unified view of the entire delivery lifecycle, you can track KPIs, compare performance trends, and make informed decisions that drive measurable outcomes. Our platform goes beyond merely measuring productivity; it equips you with the tools to foster continuous improvement and innovation within your teams.
Designed to scale with your organization, Haystack is the competitive advantage that data-driven engineering teams need to thrive. By leveraging analytics, you can transform your engineering operations, enhance collaboration, and accelerate your path to market success. Join top companies in harnessing the power of Haystack for a more efficient and effective engineering process.
Fatomi
Haystack AnalyticsNo features have been listed yet.
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.
Haystack Analytics's answer:
Engineering Leaders and Managers
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 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, Haystack Analytics seems to be more popular. It has been mentiond 2 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.
Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / over 5 years ago
Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). Weโre building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / over 5 years ago
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