After 18 years of corporate and academic life me and my c-founder @hschildt decide to do something new and we launched Skimle (https://skimle.com) which trying to be "Excel for text" - enabling systematic analysis and structuring of all qualitative data. You can for example analyse interview notes, meeting notes, statements and reports to find themes and insights.
Have a look and if you like it, hit all the appropriate upvote and like buttons!
Whether you're a consultant analyzing expert interviews, a policy analyst reviewing public consultations, an academic researcher conducting thematic analysis, a market researcher synthesizing customer feedback, or a lawyer reviewing case documents you face the same fundamental challenge:
How do I systematically extract insights from large amounts of text data without spending weeks on manual analysis or settling for superficial AI summaries?
