Yoav Zimmerman

CEO

San Francisco, California, United States9 yrs 3 mos experience

Highly StableAI Enabled

Key Highlights

Co-founded Trendpop, acquired by Collab.
Achieved $1m+ ARR in 16 months.
Led teams at Google and Determined AI.

Stackforce AI infers this person is a SaaS and AI industry leader with a strong focus on analytics and machine learning.

Contact

Skills

Core Skills

AnalyticsArtificial IntelligenceMachine LearningProduct ManagementInformation Retrieval

Other Skills

Social Media GrowthBusiness DevelopmentTensorFlowKerasPyTorchDistributed TrainingInformation ExtractionDistributed ML AlgorithmsDeep LearningNamed Entity RecognitionSemi-supervised LearningData ClusteringWeb DevelopmentPythonC++

About

Yoav Zimmerman (YCombinator 2021, Forbes 30U30 2022) is the co-founder / CEO of Trendpop, an analytics startup building artificial intelligence-powered tools to help anybody go viral. Social media professionals at companies like Atlantic Records, AWAL, United Talent Agency, and Pearpop use Trendpop to drive growth on platforms like TikTok, Youtube Shorts, and Instagram Reels. Trendpop raised money from YCombinator (W21), grew to profitability in 12 months, and was acquired by Collab in January 2022. Before Trendpop, Yoav Zimmerman was the second hire at Google Ventures-backed Determined AI (acquired by HP in 2021), a machine learning infrastructure startup where he led teams across product, sales, and engineering. Before that, Yoav worked on distributed ML algorithms for knowledge extraction from the web at Google Search. Yoav Zimmerman went to college at UCLA and currently resides in San Francisco, CA.

Experience

9 yrs 3 mos

Total Experience

2 yrs 5 mos

Average Tenure

1 yr 11 mos

Current Experience

Third chair (yc x25)

CEO / Co-Founder

Jun 2024 – Present · 1 yr 11 mos · San Francisco Bay Area · On-site

Trendpop

2 roles

Advisor

Jan 2024 – Apr 2024 · 3 mos

CEO / Cofounder

Sep 2020 – Jan 2024 · 3 yrs 4 mos

Our software sorts through millions of social video posts per day to help you discover and track the sounds, creators, and trends that are relevant to your business.
Founded in September 2020. Grew the business from $0 to $1m+ ARR in 16 months.
Funded by YCombinator (Winter 2021)
Acquired by Collab (Jan 2022)

AnalyticsArtificial IntelligenceSocial Media GrowthBusiness Development

Determined ai

Engineering, Product, Sales

Feb 2018 – Jun 2020 · 2 yrs 4 mos · San Francisco, California

Second fulltime hire in the company, joined at seed stage
Led engineering / product for ML-related features: TensorFlow / Keras / PyTorch integration, hyperparameter search, distributed training, metadata tracking
Customer-focused engineer the first year of enterprise deals, closing over 6 figures in revenue.
Technical lead for Applied ML team, consulting customers on deep learning model development in a variety of industries (financial, biotechnology, advertising, self-driving).
Acquired by HP (2021)

Machine LearningTensorFlowKerasPyTorchDistributed TrainingProduct Management

Google

2 roles

Software Engineer

Sep 2016 – Feb 2018 · 1 yr 5 mos · Mountain View, California

Information extraction from unstructured and semi-structured sources for the Knowledge Graph. Our teams work helped answer google search / assistant queries like "how tall is michael jordan?", "who played jenny in forrest gump?", and "what is elevation of machu picchu?".
Worked on a terabyte-scale distributed ML algorithm for knowledge extraction from the web. Deployed iterative model improvements that improved coverage of our fact extraction system by 15%, improving results for millions of answer-seeking search / assistant queries. Focused on information retrieval, relation extraction, deep learning for unstructured text sources, named entity recognition.

Information ExtractionDistributed ML AlgorithmsDeep LearningNamed Entity RecognitionMachine LearningInformation Retrieval

Software Engineering Intern

Jun 2015 – Sep 2015 · 3 mos · Mountain View, CA

I worked with Google Research to develop a semi-supervised learning pipeline to expand clusters of Google Play Apps. The pipeline and techniques I developed improved the key metric (average cluster acquisition rate) on the Google Play Store by 4%.

Semi-supervised LearningData Clustering