Glimpsehere

What is Glimpsehere?

Glimpsehere is an AI-driven research platform for understanding human language, emotions, and sentiment at scale. You can ask anything from simple yes/no questions to open-ended inquiries, build surveys that include images or videos, and collect responses from a large participant network. Hundreds of answers can arrive within hours, thanks to a mobile-first experience that uses emojis to capture how people feel.

Glimpse also lets you upload your own data for analysis and provides interactive dashboards for spotting patterns in topics and sentiments. Generative AI integrations deliver real-time insights, help craft better messages, and sort responses automatically. Users have praised Glimpse for its market research solutions, unique insights, and cost-effectiveness.

Who created Glimpsehere?

Neil Dixit is the founder of Glimpsehere. The platform was launched by a team experienced in insights technology, with expertise across product development, operations, marketing strategy, and academia. The company offers a self-service platform designed to be easy enough for anyone — from a CEO to an intern to a seasoned researcher — and also provides consulting services, survey design help, and analysis support.

What is Glimpsehere used for?

• Analyze language, emotions, and sentiments at scale, with responses in hours via a mobile-first experience.
• Support both open-ended and close-ended questions, build surveys with images or videos, and reach a wide audience network — either broadly or by targeting specific groups.
• Use interactive dashboards to analyze topics and sentiments, assign demographic and behavioral traits, and export results to PowerPoint.
• Apply generative AI for real-time insights, message writing, and automatic sorting and coding of responses.
• Ask questions of your entire dataset in plain English to analyze trends, and track how awareness, opinions, or sentiments change over time.
• Chat with customizable personas powered by Large Language Models, and augment your data with additional information for deeper understanding.
• Create key messages, blog posts, and top positive/negative stories based on real responses.
• Upload data from any source for analysis and instantly uncover awareness, emotions, key themes, and emerging opportunities to inform decisions and content.