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Highlighting the most influential creators on X, shaping global conversations and trends
Showcasing top creators in the sales niche, driving innovation and engagement across the U.S.
Recognizing global leaders on LinkedIn for their impactful thought leadership and professional insights.
Who is Jonathan Ross?
Jonathan Ross is a key figure in the AI hardware industry, known for driving conversations around low-latency inference and next-gen chip design. His content bridges highly technical innovation with executive-level clarity, attracting an audience of CTOs, researchers, and startup founders.



Sarthak Ahuja is a marketing enthusiast currently contributing to digital marketing strategies at Favikon. An alumnus of ESCP Paris with over 2 years of professional experience, he has held multiple marketing roles across industries. Sarthak's work has been published in journals and websites. He loves to read and write about topics concerning sustainability, business, and marketing. You can find him on LinkedIn and Instagram.
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Jonathan Ross: Redefining AI Thought Leadership with Precision and Performance
Jonathan Ross is the Founder and CEO of Groq, a company known for building ultra-fast inference systems using custom-designed AI chips. He previously led the development of Google's TPU, a breakthrough processor for machine learning workloads. His work focuses on architectural innovation, especially in low-latency hardware performance. Ross approaches compute problems through a systems lens, optimizing for real-time AI processing.
At Groq, Ross pioneered the use of LPU (Language Processing Unit) architecture to increase speed and reduce energy costs in inference. His public content often breaks down performance metrics like tokens per watt or FLOPS per dollar, making advanced computing benchmarks accessible. He doesn’t discuss AI as abstract potential—he quantifies its real-world speed and output. This engineering-first approach has earned him credibility among chip designers and CTOs.

Ross avoids personal storytelling and instead builds authority through data-backed posts about Groq’s performance. He often compares Groq’s chips against traditional GPU infrastructure, emphasizing deterministic execution and cost control. His tone is consistent: technical, evidence-driven, and grounded in benchmarks. Each piece of content supports Groq’s position as a challenger to legacy compute systems.
Beyond Groq, Ross engages with platforms like The Twenty Minute VC and maintains a strong presence in AI and venture capital circles. He frequently interacts with tech journalists, engineers, and investors focused on foundational infrastructure. His profile is not about trend commentary—it’s a running update on measurable progress in chip performance. That clarity has made him a trusted figure in high-performance compute.
An Influencer Active on Social Media

Jonathan Ross is active on LinkedIn and X, where he shares AI infrastructure breakthroughs, inference benchmarks, and system-level innovations with a growing audience of tech professionals.
Jonathan's Social Media Strategy Analysis
LinkedIn: Technical Precision for an Audience of Innovators

Jonathan Ross uses LinkedIn to communicate technical innovation clearly to a business-savvy audience. His posts often explore chip architecture, TPU breakthroughs, and Groq’s competitive edge in AI inference. He rarely reposts generic tech news—instead, he adds direct commentary on compute economics and system performance. His voice is authoritative but approachable, tailored to AI engineers, investors, and CTOs.
He publishes infrequently—just four times a month—but each post carries specific insight into Groq’s work or industry shifts. Whether commenting on new deployments or referencing Groq’s tech stack, his updates include metrics and real use cases. His post about Bell Canada’s AI infrastructure was framed around national tech sovereignty, not just product promotion. That framing helps position Groq as a strategic partner in public infrastructure.

His average LinkedIn engagement is high, with 654 interactions per post and a 0.79% engagement rate, driven by a niche yet responsive audience. He maintains consistent tone and structure: short intros, focused claims, and high-level takeaways. Each post builds his thought leadership within compute performance rather than chasing broader AI trends. This keeps his visibility high in a very focused feed.
Ross is methodical with posting time, usually sharing content around 9 AM EST once a week, aligning with tech leader behavior and investor timelines. His 82.8K followers are a blend of developers, founders, and innovation leads. As a result, his LinkedIn feed functions as both a showcase of Groq’s credibility and a running thesis on compute efficiency. His audience growth of +4.1% monthly confirms the strategy is working.
- Username: @rossjonathan
- Influence Score: 96.3
- Followers: 82.8K
- Activity: 4 posts / month
- Engagement Rate: 0.79%
- Growth: +4.1%
- Average Engagement: 654
- Posting Habits: once a week at 9 AM EST
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X (formerly Twitter): Quick-Take Commentary for the Tech Sphere

Ross is present on X under @jonathanross321, but it plays a secondary role in his strategy. His activity here is limited—just under 2 tweets per week—but often mirrors his interviews or public appearances. He avoids hot takes or memes, instead focusing on direct links to Groq milestones and AI deployment case studies. This platform appears used for signal-boosting key announcements rather than organic conversation.
Despite a modest engagement rate of 0.41%, Ross still attracts a tech-forward audience that includes chip developers and startup media. His tweets are generally informative, often containing performance specs or deployment results. He shares press coverage, including Bloomberg interviews, to reinforce Groq’s position in enterprise AI. The tone is more clipped and objective than on LinkedIn, matching X’s faster rhythm.

The account’s growth is flat—0%—but it holds value as a citation hub, redirecting users to more detailed LinkedIn or press content. Unlike LinkedIn, Ross rarely engages in conversation threads or retweets peers. His X feed is clean, minimal, and focused, signaling that he views the platform as a public log rather than a community space. With 23.6K followers, he’s established a tech niche that responds to milestone-driven posts.
Ross posts from this account twice a week, typically around 10 AM EST. While not central to his influence, the account helps shape Groq’s positioning during product launches or government partnerships. His audience on X expects technical signal, not personality-driven content—which fits Ross’s broader strategy as a low-key innovator focused on performance over buzz.
- Username: @jonathanross321
- Influence Score: 78
- Followers: 23.6K
- Activity: 1.8 tweets / week
- Engagement Rate: 0.41%
- Growth: 0%
- Average Engagement: 97
- Posting Habits: twice a week at 10 AM EST
Jonathan Ross' Social Media Influence Summary

Jonathan Ross holds an Favikon Influence Score of 8,561 points and ranks in the Top 1% in multiple categories. He’s ranked #198 on LinkedIn U.S. and #25 in Technology & Innovation U.S., showcasing strong performance in the deep tech niche. Globally, he maintains a high presence at #680 on LinkedIn and #140 in Technology & Innovation. His influence stems from high engagement relative to niche topics and consistent performance metrics.
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Content Strategy: Shaping AI Discourse Through Technical Precision and Platform Discipline
Ross avoids generalist or promotional posts, opting instead for benchmark-driven narratives and performance-centered messaging. His tone is data-first, often beginning with a stat or claim and expanding with Groq-specific context. Posts are designed for experts, not casual browsers—each update has a clear takeaway for readers involved in the AI hardware pipeline. He frequently uses comparisons with legacy GPU systems or popular AI chipsets, positioning Groq as a disruptor. His visuals are schematic or sourced from whitepapers, avoiding splashy design. Every post is calibrated to speak to performance, efficiency, and engineering clarity. This makes his content highly shareable within dev teams and AI-focused forums.
Reachability and Partnerships

Jonathan Ross maintains a focused and industry-specific network that spans venture capitalists, AI engineers, and hardware specialists. His closest connections include figures like Harry Stebbings and brands like Groq and 20VC, reflecting a tight-knit circle rooted in deep tech and startup investment. His content regularly receives responses from influential peers and media platforms, including Bloomberg and TechCrunch. This consistent interaction with credible actors enhances both his visibility and authority in the AI hardware niche.

Ross’s partnership potential lies in his credibility as a founder with hands-on experience in chip innovation and scalable infrastructure. He’s tagged or engaged with entities like Groq Inc. and The Twenty Minute VC in multiple posts, indicating alignment with B2B and enterprise-facing partners. Brands seeking to highlight high-performance AI tools or advanced engineering solutions can expect contextual relevance through his audience. With a safe content environment and minimal political tone, Ross offers a direct path to a technically informed and highly targeted professional following.
Conclusion: Leading AI Infrastructure with Speed and Clarity
Jonathan Ross maintains a clear voice as an AI systems innovator, using LinkedIn and X to push performance-first narratives. His social presence reflects the same values as his technology: speed, efficiency, and system-level design. For brands and platforms looking to engage serious builders in AI and chips, Ross is a high-authority voice worth watching.
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