Cut Pre-Meeting Research Time by 80%

Warmr is a sales intelligence tool built for teams that live on calendar calls. Their reps run back-to-back meetings with prospects and clients - each requiring context, research, and personalized preparation that there simply isn't time to do manually between calls.

The team knew preparation quality directly correlated with close rate. The problem was that doing it properly took 15–20 minutes per call, and with a full pipeline, that time didn't exist.

Sales reps were spending excessive time jumping between tabs to research prospects before meetings, often under time pressure. Prep quality was inconsistent, context was forgotten between calls, and valuable selling time was lost to manual research.

We built Warmr, a calendar-based meeting intelligence system that automatically triggers before scheduled calls. Using only the attendee's email, the system researches the person and company across multiple sources, then delivers automated 30-second briefs on meeting attendees-pulled from LinkedIn, company news, and public data-delivered straight to Slack.

The system uses AI agents to:

• Match search results with calendar attendees to find correct LinkedIn profiles
• Scrape and enrich profile data with recent posts and activity
• Generate personalized icebreakers based on data confidence levels
• Deliver structured briefings via Slack DM exactly 15 minutes before each meeting

Pre-meeting research time dropped by 80%. Reps who were spending 15–20 minutes per call scrambling through tabs now receive a structured brief - LinkedIn activity, recent news, personalized icebreaker - exactly 15 minutes before the meeting starts. Not too early to be forgotten, not too late to be useful.

The 15-minute delivery window was a deliberate product decision. We tested earlier delivery and found reps didn't retain it. At 15 minutes, the brief lands while they're mentally shifting into prep mode - it gets read and used.

Consistency was the biggest quality improvement. Manual research varied wildly depending on how much time a rep had. The automated brief is equally thorough for a call at 9am and a call squeezed between two others at 3pm. Prep quality stopped depending on schedule pressure.