
D&B Hoovers is a sales intelligence and revenue workflow platform that helps organizations identify, prioritize, and act on buying signals. By combining trusted company and contact data with buyer intent, website engagement insights, trigger events, and AI-powered assistance, D&B Hoovers helps revenue teams uncover opportunities sooner and make more informed decisions throughout the sales cycle.
Built on the Dun & Bradstreet Data Cloud, D&B Hoovers provides comprehensive business intelligence, including company profiles, corporate family structures, decision-maker contacts, industry information, financial insights, company news, and market intelligence. Advanced search and segmentation capabilities allow users to identify high-potential accounts and build targeted prospect lists based on business characteristics, growth indicators, and buying signals.
D&B Hoovers integrates into existing sales and revenue workflows, helping teams reduce research time, prioritize outreach, monitor account activity, and engage buyers with greater relevance. Real-time business triggers and account intelligence help organizations understand changing customer needs, identify opportunities, and focus efforts on the accounts most likely to convert.
Whether supporting prospecting, account planning, pipeline generation, or revenue operations, D&B Hoovers provides the trusted intelligence and contextual insights needed to help teams work more efficiently and drive better business outcomes.
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AI Sales Rep - Your Next Salesperson Might Not Be A Person at All
Identify and Influence Your Engaged Website Visitors into Sales-Ready Leads – Before You Commit a Single Working Hour.
Lower Funnel, Higher Value Leads: Using our advanced WebID +Person identification technology, we uncover and identify the most engaged visitors to your site. These are the prospects we focus on, ensuring maximum impact for your sales efforts.
- Detailed Prospect Data: We gather 40 points of data about each prospect, including first name, last name, email address, and more.
- Engaged, But Anonymous: These prospects are conducting online research but haven’t met with your sales team yet.
- Crucial Sales Funnel Position: These visitors are deep in your sales funnel, spending time on your key ‘buying pages’ but remaining unknown to you. They are the ones most likely to convert into appointments.
- AI-Driven Engagement: Our AI Sales Rep identifies and gently engages with these visitors, influencing them to express interest. The process is fully automated, so your sales team only needs to engage with the interested leads—your low-hanging fruit.
Leverage the power of AI to turn your website visitors into meeting-ready leads effortlessly.
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G+AIDER
Automated testing software to test mobile games. G+AIDER makes it easier to test mobile games on multiple devices and platforms.
G+AIDER supports both automated and manual testing.
It can be written as an automation script and tested on multiple devices, including Android and iPhone. G+AIDER uses image recognition to make it easy for testers to test on different devices.
G+AIDER mirrors the device screen at the maximum size possible on a PC and shows the device's performance in manual mode. After testing, manual mode generates video, recorded playing and a performance report.
G+AIDER Business version allows multi-testing. It can test up to seven devices using one automation script.
Only the Mac is available for testing iPhone.
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Aider
Aider is an AI pair programming assistant designed to work seamlessly from the terminal, enabling developers to collaborate with advanced language models while coding. It allows users to start fresh projects or enhance existing repositories with AI-generated improvements that respect the structure of their codebase. By mapping the entire project, Aider maintains strong contextual awareness, even across large and multi-file applications. The tool supports more than 100 programming languages, covering most modern and legacy development stacks. Aider integrates tightly with Git, automatically creating commits that are easy to review, track, or roll back. Developers can interact with Aider from within their IDE or editor by simply adding comments to their code. It also supports images, web pages, and reference documents to provide richer context during development. Voice-to-code functionality enables developers to request features or fixes verbally. Built-in linting and testing ensure code quality after every AI-driven change. Aider can also work with browser-based LLMs by streamlining copy-and-paste workflows when APIs are unavailable.
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