How do you achieve 99% human action recognition using just a smartphone camera? Hafsa Tahir went from her first international flight to founding Agit in Silicon Valley—launching with a simple API before building complex models, then pivoting five times based on user feedback.
The breakthrough: a livestream feature where one coach trains 1,000 people simultaneously while AI tracks every participant's form in real-time. Hafsa reveals how she turned a mentor's rejection ("this tech can never happen") into investment capital, why she shifted from solo coding to leading teams across two continents, and the immigrant mentality of working 80 hours to beat the 40-hour standard.
Key Topics
Chapters
00:00 Introduction to Agit and the 99% Accuracy Achievement
03:01 Building Custom Models vs Starting with APIs
05:56 Leadership Evolution: From Software Engineer to CEO
08:57 Immigrant Advantage in Silicon Valley
11:57 Networking and Traction Before Fundraising
15:07 Finding Leader Investors First
17:58 The Small Project Test for Co-Founders
20:57 1,000-Person Livestream with Real-Time AI Tracking
23:57 Five Pivots Driven by User Feedback
27:12 Balancing AI Technology with Human Connection
29:49 Targeting Fitness Influencers for Network Effects
Keywords: AI fitness, human action recognition, startup pivots, immigrant founder, Silicon Valley, fundraising strategy, livestream fitness, product-market fit, user feedback