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.

GMapsScraper.AI is a cloud-based Google Maps data extractor that collects business information from Google Maps search results at scale.

The tool runs entirely on cloud servers. You enter search keywords in batches (for example, "coffee shop in Brooklyn" or "law firm in Sydney"), and the platform processes them in parallel. Each listing returns 39+ structured data fields: business name, full address, phone number, email, website, Google rating, review count, opening hours, and social media profiles. You can set the language and location for each task to target specific regions.

Results come back as CSV or JSON files that work with CRM systems, email outreach tools, and spreadsheets. No browser extension to install, no desktop software to run.

The platform supports up to 100 keywords per task and 5 concurrent tasks on higher plans. It also has a resume feature, so interrupted tasks pick up where they left off.

Who uses it: B2B sales teams building prospect lists from local business listings. Marketing agencies are pulling competitor data for clients in specific cities. SEO consultants are collecting business data for citation building and local pack analysis. Freelance researchers gathering location-based datasets.

Free accounts get 1,000 credits per month (1 credit = 1 business listing). Paid plans start at $29/month with 50,000 credits.