Haystack Analytics
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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.
Every proposal, pitch deck, or client report you send can win or lose a deal, and PDFTrackr tells you exactly how it landed. Share it as a secure tracked link and see who opened it, which pages they read, how long they spent, and where they dropped off, with bots and email scanners filtered out of your counts so the numbers are real.
The part worth paying for is Signals: the analysis done for you. Instead of a table to decode, you see who came back for a second look, who's genuinely engaged, and who's worth a call right now, with a per-recipient verdict on whether a specific person read it and a real-time alert the moment they open it or return to it.
You also control who can open a document at all. Allow lists name the addresses permitted to view it, block lists shut an address out and end any session it already holds, and email verification requires a six-digit code before the file opens, so a read belongs to a confirmed identity rather than a typed-in name. Passwords, expiry, download control, per-page watermarking and virus scanning apply on every link.
Free is complete: 500MB, 50 files, full page-by-page analytics, 12-month history, geography and device data, no credit card. Pro ($9/month or $84/year) adds 10GB, 500 files, unlimited links, 24-month history, Signals, per-recipient verdicts, open and return-visit alerts, Reading Reports, allow/block lists, verified viewer email, CSV export, bulk personalized links, watermarking, folders and versioning. Every new account runs on Pro free for 14 days, then continues on the free plan rather than losing access.
Built for sales teams, consultants, agencies and founders who sell with documents.
Haystack Analytics PDFTrackrHaystack Analytics's answer
Engineering Leaders and Managers
PDFTrackr's answer:
Sales and business-development teams, consultants, agencies, and founders raising on a pitch deck. Anyone who sends proposals, decks, and reports and needs to know who actually read them and when to follow up.
PDFTrackr's answer:
Next.js, TypeScript, PostgreSQL, React, Docker, DigitalOcean, Cloudflare
PDFTrackr's answer:
It's the only PDF tracker that shows you which views were real. Bots and email scanners are filtered out of your counts automatically, and the dashboard shows exactly what it removed. Then Signals tell you who came back and who's worth a follow-up, with a per-recipient verdict on whether a specific person read it, so you act on real buyers instead of inflated numbers.
PDFTrackr's answer:
Most trackers count every open, including bots and email scanners that never read a word. PDFTrackr filters them out and shows its work, so the numbers are real. Then Signals do the analysis for you: who's genuinely engaged, who's worth a call now, plus a per-recipient verdict and real-time alerts with emailed Reading Reports. Full page-by-page analytics are free with a 12-month history and virus scanning, no credit card; Pro is $9/month or $84/year.
PDFTrackr's answer:
Built to answer the question every sender has: did they actually read it, and when should I follow up? Instead of a vanity view counter that inflates numbers with bots, PDFTrackr filters out the noise and turns real reads into a shortlist of who's worth a call.
PDFTrackr's answer:
I'm a photographer, been using this for 2 weeks after getting fed up with papermark. i just need to know if brides open my wedding packages, not run a fortune 500 data room lol. pdftrackr tells me what pages they look at which is super useful - noticed one client spent ages on my portfolio but skipped pricing, so i knew to focus on value not cost. the free plan is enough for me (i send maybe 15 proposals a month)
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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