Get live statistics and analysis of Tom Bradshaw's profile on X / Twitter

- Developing AI dev tools - Using: (C++, Qt), (Python, Textual), (TypeScript, Angular) - Teaching Databases II FA25

1k following879 followers

The Thought Leader

Tom Bradshaw is a passionate AI developer and educator, building innovative dev tools and sharing expert insights about the AI ecosystem. With a clear focus on practical applications, Tom blends deep technical skills and teaching to influence how AI tools evolve. His engagement is rooted in knowledge-sharing and thoughtful discourse on technology's future.

Impressions
29.2k
$5.48
Likes
116
78%
Retweets
4
3%
Replies
2
1%
Bookmarks
26
18%

Tom’s tweets are so packed with technical gems, even his coffee needs debugging before it kicks in—maybe ease up on the jargon and let a few simple punchlines slip in to keep the 'likes' awake too!

Tom’s biggest win is creating JrDev, a free and open-source AI coding assistant that not only advances development efficiency but also embodies his vision of AI as a supportive tool—not a replacement—for developers.

Tom’s life purpose is to pioneer and educate within the AI development space, empowering both novice and experienced developers with smart, accessible tools while shaping the conversation about AI’s real-world impact.

Tom believes that AI’s true value lies in the tools it enables rather than just the models themselves. He champions open source development, user empowerment, and the continuous pursuit of efficient, pragmatic solutions. He values education and helping others grow their skills with transparency and clarity.

Tom’s greatest strength is his ability to combine hands-on technical expertise with educational influence—building meaningful tools while articulating their value clearly for the community. His multi-language prowess and deep understanding of AI infrastructure position him as a credible and inspiring tech thought leader.

Despite his technical brilliance and clear insights, Tom’s follower count is surprisingly modest relative to his output and expertise—perhaps a sign that his outreach strategy could use refinement to better convert his knowledge into a wider, more engaged audience.

To grow his audience on X, Tom should lean into storytelling with more personal, behind-the-scenes content that humanizes his projects. Engaging directly with his followers through AMAs or polls could boost interaction, and strategic use of threads to break down complex topics would showcase his thought leadership while amplifying reach.

Fun fact: Tom not only codes complex AI dev tools using a mix of C++, Python, and TypeScript but also teaches a university course on databases, bridging academia and industry in his work.

Top tweets of Tom Bradshaw

🧵1/3 So many of Google Lab's AI products come to mind @julesagent 👀15 free cloud agent tasks per day 🧠Uses Gemini 2.5 Pro (excellent ability to understand complex projects) 🤯Compiles + runs tests + screenshot results 🦑Responds to tags on GitHub issues x.com/denicmarko/sta…

24k

Great to see @julesagent implementing actor-critic RL. If you code your own agents: ➡️ Feed final diffs + original prompt to a SOTA model ➡️ Loop back on flagged issues You'd be surprised how much gets caught. Also try Jules! 15 free tasks/day 👀 x.com/simpsoka/statu…

770

I have so many tasks per day I can run with @julesagent that I just keep running this same prompt on repeat 🤖

355

Kimi-K2 is live on @OpenRouterAI Getting ~4 tokens/second. Pretty slow compared to other models. Testing it on a CSS task now. Curious if the output quality justifies the speed trade-off. Anyone else benchmarking it? What are you seeing?

1k

Most engaged tweets of Tom Bradshaw

🧵1/3 So many of Google Lab's AI products come to mind @julesagent 👀15 free cloud agent tasks per day 🧠Uses Gemini 2.5 Pro (excellent ability to understand complex projects) 🤯Compiles + runs tests + screenshot results 🦑Responds to tags on GitHub issues x.com/denicmarko/sta…

24k

Kimi-K2 is live on @OpenRouterAI Getting ~4 tokens/second. Pretty slow compared to other models. Testing it on a CSS task now. Curious if the output quality justifies the speed trade-off. Anyone else benchmarking it? What are you seeing?

1k

I have so many tasks per day I can run with @julesagent that I just keep running this same prompt on repeat 🤖

355

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