PORTLAND, Ore. - TelAve -- Learnewable announced the launch of Social Signal, a first-of-its-kind AI-powered tool designed to help renewable energy developers make sense of fast-moving, unstructured social media conversations. By turning scattered online chatter into actionable intelligence, Social Signal equips energy project teams with the insights they need to engage communities, mitigate risks, and accelerate project success.

As public sentiment increasingly shapes the future of solar, wind, battery storage, data center, and other energy infrastructure projects, manual methods of gauging community opinion have proven too slow, too narrow, and too reactive. Social Signal changes that equation.

"Social media is where both support and opposition for projects often begin," said Jeremy Solomon, CEO of Learnewable. "Social Signal helps developers stay ahead by providing real-time visibility into what's being said, who's influencing the conversation, and how to engage proactively before risks escalate into costly delays."

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For developers, the value is immediate: teams can track sentiment across platforms like Facebook and Nextdoor, identify potential risks before they escalate, and address concerns with clarity and confidence. By aligning project managers, executives, and stakeholders with the same real-time insights, Social Signal strengthens trust, accelerates decision-making, and helps renewable projects move forward.

With Social Signal (https://learnewable.com/ai-tools/social-signal), Learnewable continues its mission of equipping renewable energy developers and infrastructure planners with innovative, AI-powered tools that simplify stakeholder engagement and reduce project risk.

About Learnewable (https://learnewable.com/)
Learnewable is an intuitive, AI-driven platform built to simplify and accelerate the site selection process for renewable energy and infrastructure projects. By automating stakeholder management, streamlining data collection, and delivering real-time analytics, Learnewable empowers project teams to better understand community sentiment, anticipate risks, and engage proactively with stakeholders.