Who is Srinivas Narayanan?

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Srinivas Narayanan: Engineering AI Progress Through Product Leadership and Technical Communication

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Srinivas Narayanan is the VP of Engineering at OpenAI, where he leads the development of large-scale AI systems and model deployment infrastructure. Before joining OpenAI, he spent over a decade at Meta, where he oversaw engineering teams focused on core consumer internet products. His transition marked a shift from social platforms to AI research and implementation. His experience spans both scaling products for billions and advancing cutting-edge ML.

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At OpenAI, Srinivas plays a direct role in engineering execution behind major product releases, including GPT model improvements and infrastructure updates. His posts are typically timed with organizational milestones and focus on acknowledging cross-functional collaboration. He rarely speaks in abstractions, opting instead to highlight concrete engineering accomplishments and the people behind them. His updates often feature real-time feedback from the AI community.

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Srinivas avoids promotional content and focuses on product integrity and team recognition. His tone remains positive and measured, even when addressing complex AI topics like safety, latency, or optimization at scale. He posts sparingly but meaningfully, using platforms like LinkedIn and X to reinforce transparency around OpenAI engineering efforts. His communication style reflects his leadership: quiet, clear, and deeply technical.

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Beyond OpenAI, Srinivas engages with organizations such as Accel in India and People+AI to support global AI accessibility. He maintains a network of respected figures in engineering and product, including collaborators across AI research, open source, and infrastructure. His credibility is rooted in execution, not visibility—making him a trusted voice for teams building impactful AI systems.

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An Influencer Active on Social Media

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Srinivas is active primarily on LinkedIn and X, where he communicates AI progress and engineering updates to a technically informed audience.

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Srinivas' Social Media Strategy Analysis

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LinkedIn: Structured Updates on Product Progress and Team Culture

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Srinivas Narayanan’s LinkedIn presence centers around high-impact product updates, typically aligned with OpenAI’s major engineering milestones. He posts just twice a month, often around 3 PM EST, and targets a focused professional audience made up of engineers, product leaders, and AI researchers. His content avoids fluff and dives straight into product improvements or acknowledgments of internal team efforts. With 60.2K followers and a 1.67% engagement rate, each post garners meaningful attention.

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His updates frequently coincide with OpenAI launches—whether it’s a model release or infrastructure-level upgrade—making them timely and informative. He uses LinkedIn not for thought leadership but to surface institutional work from inside OpenAI’s engineering operations. His average engagement of 1,000 shows that even low-frequency posts resonate strongly within his niche audience. His tone is appreciative, platform-specific, and always tied to something tangible.

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Srinivas doesn’t use hashtags aggressively or tag multiple collaborators unnecessarily. Instead, he opts for clean formatting, direct language, and team-focused shoutouts. This understated approach contrasts with the overly branded communication style of many execs, reinforcing his image as a grounded engineering leader. He uses visibility sparingly and surgically to highlight substance over noise.

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The platform also acts as a professional communication tool during partner collaborations—such as mentions of People+AI or Accel India—offering broader reach during ecosystem-facing work. Overall, LinkedIn is his preferred channel for contextual, public-facing recognition of both technical achievement and engineering culture.

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• ‍Username: @srinivasnarayanan‍
• Influence Score: 95.1/100‍
• Followers: 60.2K‍
• Activity: 2 posts/month‍
• Engagement Rate: 1.67%‍
• Growth (30 days): +2.24%‍
• Average Engagement: 1K‍
• Posting Habits: Twice a month at 3 PM EST

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X: Real-Time Signals and Broader Engineering Commentary

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Srinivas uses X (@snsf) as a secondary, more casual channel to engage with the technical AI and developer community. He tweets about twice a week at 12 PM EST, reaching an audience that includes early risers in Europe and late-night U.S.-based engineers. His tweets are minimal in tone and designed to either acknowledge projects, share quick links, or participate in lightweight engineering discussions. With 13.5K followers and a +3.82% growth rate, his reach continues to rise organically.

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Unlike many peers who use X to post commentary or viral threads, Srinivas limits his posts to relevant, engineering-aligned signals. He often retweets OpenAI announcements or echoes sentiments about product rollouts. He avoids political or personal commentary entirely, staying firmly within technical and product-related discourse. His 0.81% engagement rate reflects active interest from a precise segment of builders and researchers.

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He frequently interacts with engineers across OpenAI and its adjacent ecosystem, using X to amplify community efforts like model performance benchmarks or tool integrations. His voice on the platform is neither loud nor promotional—it’s utility-driven, reinforcing clarity and respect for contributors. He also uses it to follow up on LinkedIn posts or highlight micro-level progress not suited for formal updates.

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This strategy helps Srinivas stay connected to open-source builders, contributors, and AI observers without diluting his professional messaging. His X presence complements his LinkedIn by offering brief, time-sensitive commentary for insiders tracking technical progress in AI deployment.

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• ‍Username: @snsf‍
• Influence Score: 80.7/100‍
• Followers: 13.5K‍
• Activity: 1.9 tweets/week‍
• Engagement Rate: 0.81%‍
• Growth (30 days): +3.82%‍
• Average Engagement: 110‍
• Posting Habits: Twice a week at 12 PM EST

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Srinivas Narayanan's Social Media Influence Summary

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Srinivas Narayanan holds a Favikon Influence Score of 7,347 points, ranking in the Top 1% on LinkedIn U.S. (#295) and Top 2% in U.S. Technology & Innovation (#113). Globally, he places in the Top 1% on LinkedIn (#1083) and Top 2% in Tech & Innovation Worldwide (#856). These scores highlight the relevance of his communication despite a low-frequency strategy.

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Learn more about the Favikon Methodology here

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Content Strategy: Precision-Driven Updates from Inside AI Engineering Leadership

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Srinivas’s content is shaped around impact moments, not consistency. He focuses on clarity, recognition, and product relevance—highlighting new features, engineering milestones, or collaborative acknowledgments. His voice is free of personal promotion and sticks to a clear domain: AI engineering and model deployment. He does not speculate or comment on industry rumors. His strength lies in surfacing confirmed information that aligns with internal progress at OpenAI. This strategy resonates with fellow engineers and leadership teams looking for signal, not noise. His audience trusts that when he posts, there’s a reason—and that trust fuels engagement.

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Reachability and Partnerships

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Srinivas Narayanan is most reachable through LinkedIn, where he shares product-driven updates twice a month at 3 PM EST. His posts consistently align with OpenAI engineering milestones, drawing high engagement from technical leaders and collaborators. He also maintains a smaller, active presence on X, tweeting twice weekly with short, utility-focused posts. His messaging cadence makes him accessible during release cycles and cross-functional announcements.

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He is well-suited for partnerships with AI infrastructure platforms, developer tool providers, and engineering-centered educational initiatives. Past engagements include collaborations with People+AI and Accel India, reflecting a focus on scalable, impact-first ecosystems. With an estimated post value between $719 and $879, his reach is concentrated but influential. Brands targeting AI engineers and product builders will find strong alignment through his updates.

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Conclusion: Quiet Influence in AI Engineering and Product Impact

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Srinivas Narayanan builds influence through selective, high-relevance communication centered on product progress, team culture, and technical outcomes. As VP of Engineering at OpenAI, his voice reflects institutional trust and engineering clarity. While he posts infrequently, each message serves a clear purpose—making him one of the most respected engineering communicators in the AI sector today.

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