Hello all,

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!

It's 60 minutes until we're going live!

Please have a look at Skimle and start to warm up your upvote button clicking fingers!

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?

Picture this: you've just wrapped 60 customer interviews for a B2B brand perception study. The transcripts total 800 pages. Your client wants the presentation by Monday. It's currently Thursday afternoon.

Or maybe you're staring at 5,000 NPS open-ended comments from the quarterly customer satisfaction survey. Your client doesn't want a word cloud showing "pricing" mentioned 147 times. They want to understand *why* pricing is an issue, *which* customer segments care most, and *what specifically* they're comparing to competitors.

If you've ever worked in consulting, you know the drill: you've just finished 40 expert network calls (via GLG, AlphaSights, InexOne or the likes). The transcripts are sitting in a folder. Your synthesis deck is due Monday. You're staring at 600 pages of interview notes thinking "how do I extract signal from all this noise?"

Or maybe you're knee-deep in due diligence with 1,000+ documents in the data room and 2 weeks to find every red flag. You can't read everything, so you sample and risk missing the critical issue buried on page 67 of document 42.