Jellyfish
Jellyfish, a leading Software Engineering Intelligence platform, helps engineering, product, and finance leaders build healthier, higher-performing R&D teams.
We surface actionable insights on team health, investment allocation, and delivery, while offering purpose-built solutions to improve developer experience, streamline software capitalization, and measure the impact of AI tools like Copilot, Cursor, and AmazonQ.
Over 500 organizations and 11,000 engineering teams—including GoodRX, Varo, Priceline, and PagerDuty—trust Jellyfish to optimize engineering operations so their teams can focus on what matters most. Learn more at jellyfish.co.
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Birdeye
irdeye is the #1 AI platform for Hyperlocal Marketing®, purpose-built for multi-location brands. Over 150,000 businesses rely on Birdeye’s intelligent AI agents to run marketing and drive business outcomes. Birdeye helps multi-location brands enhance online reputation, engage customers across social, search, and web, and gain real-time insights into consumers and competitors — all to boost leads & increase foot traffic, reduce costs, and grow revenue.
Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of innovators from Google, Amazon, Salesforce, and Yahoo and is backed by the who’s who of Silicon Valley, including Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR.
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Sonar Amazon Keyword Tool
Amazon keyword research tool that helps Amazon sellers, vendors, and agencies find all relevant keywords for their businesses, increase product listing visibility, and improve Amazon SEO. Sonar is a continuously updated database of Amazon ‘product / keyword’ combinations plus the keyword tool. The tool only includes keywords for which the ASIN is ranking on the 1st page of Amazon search results at the time of the most recent database update. If a product is relatively new and/or is not ranking well, it may not be a part of the Sonar yet. The keyword database contains customer search queries across all product categories that have been entered into Amazon – other sources like Google are not taken into account. Amazon itself doesn’t provide any keyword search volume data. So, we have developed a prediction algorithm that calculates the probability of keyword appearance along with many other key parameters.
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