December 19 – January 2, 2026

This perfectly aligns with Brian's experience building AI-powered dev workflows and his focus on automation/productivity. The idea that code generation speed creates new bottlenecks (rather than solving everything) is exactly the kind of nuanced take Brian would want to explore with concrete examples from his fintech work and side projects.

This hits multiple Brian domains - developer productivity through habit design, solopreneurship consistency, and fitness habits from triathlon training. The environment design angle is especially relevant for someone building automation tools and side projects.

This hits a core tension in Brian's life - he's built deep expertise in fintech/fullstack while simultaneously running multiple side projects. The "infinite distraction loop" framing could help him articulate when side projects are strategic diversification vs. harmful散focus, which is valuable for his solopreneur audience.

The "one important thing daily" framework aligns perfectly with Brian's systematic approach to side projects and engineering productivity. As someone juggling fullstack work, multiple side projects, triathlon training, and family time, he'd likely have strong opinions on daily prioritization systems and practical insights from implementing them across different life domains.

This hits Brian's sweet spot of practical, anti-buzzword thinking about building products. As someone shipping multiple side projects while working at a fintech startup, he's living the "test fast, iterate strategy" approach daily and has concrete stories to back it up.

This hits squarely in Brian's AI/agents sweet spot with a concrete architectural thesis about context graphs becoming the new system of record. The "decision traces as queryable history" concept directly applies to his fintech work with analytics dashboards and could spark ideas for his AI-powered dev workflow side projects.

This directly hits Brian's sweet spot on AI tooling adoption and developer productivity. The specific recommendations about coding agents, sandboxed infrastructure, and preferring prompting over finetuning align perfectly with his hands-on experience building AI-powered dev workflows at both his fintech job and side projects.

This hits Brian's sweet spot of AI/agents and future of work, especially the prediction about small teams generating huge value through AI - exactly what he's doing with his side projects. The timing is perfect for a "here's what an engineer actually thinks about these AI predictions" post that cuts through the hype.

This is essentially "Cursor/Lovable for mobile apps" - an AI tool that generates React Native apps from natural language prompts. The reviews reveal typical early-stage AI dev tool problems: works great initially but struggles with iterative changes, expensive pricing ($50/month), and reliability issues that make it frustrating for real development work.

This is exactly the kind of "AI is coming for everyone" narrative that Brian could provide a valuable counterpoint to, given his experience actually building AI integrations and understanding their current limitations. The story also reinforces why he's smart to be building multiple income streams through side projects rather than pivoting to manual labor.

The "zooming in/out" concept perfectly captures a skill Brian likely uses daily but may not have articulated clearly. Given his focus on practical, experience-based writing and his work across multiple abstraction layers (serverless architecture, business logic, AI integrations), this could spark a strong post about how this skill applies specifically to modern fullstack development.

This is a goldmine of practical AI development workflow insights from someone shipping real products at scale. The specific tooling choices, prompting strategies, and productivity patterns directly align with Brian's fintech work and side project automation goals. The contrast between different AI models and concrete workflow tips make this highly actionable.

This hits Brian's sweet spot on AI/agents and the future of software work, especially predictions about hardware becoming the new moat and local models gaining importance. The focus on young, adaptable talent being "turbocharged" by AI directly relates to his experience building AI-powered dev workflows and positioning himself as a technical founder.

This hits two of Brian's core interests: personal finance strategy and the broader economic context that drives demand for side projects and alternative income streams. As someone building fintech products and running multiple side hustles, he likely has strong opinions on whether young people should focus on skill-building vs. speculation.

This hits Brian's sweet spot of practical engineering craft and developer productivity tools. The deep dive into macOS APIs, the progression from hacky root-required solution to elegant notification-based approach, and the real-world problem of thermal throttling on Apple Silicon would resonate with his experience building dev tools and Chrome extensions.

This is exactly the kind of deep, practical AI tooling content Brian would resonate with - a practitioner's honest take on what actually works vs. marketing hype. The author's journey from Claude skeptic to advocate, plus detailed workflow breakdowns, gives Brian rich material for his own "here's what I learned" style posts.

SerpApi provides structured access to Google search results via API, which could be a game-changer for Brian's automation workflows and side projects. The pricing is reasonable for experimentation ($25/month for 1K searches), and the use cases directly align with his interest in AI agents, web scraping for business intelligence, and automating manual research tasks.

This directly relates to what Brian's experiencing building AI-powered dev workflows and automation tools. Aaron Levie's take that AI will create *more* work rather than replace it aligns perfectly with Brian's practical experience seeing AI enable new types of projects rather than eliminating jobs.

This aligns well with Brian's practical, experience-driven writing style and his interests in productivity/automation, but the content itself is fairly generic self-improvement advice. The value would come from Brian's specific take on how these principles apply to developers, solopreneurs, or busy parents in tech.

This is solid product research from Google showing measurable learning improvements (11% better retention) from AI-generated personalized educational content. While not directly applicable to Brian's fintech work, it demonstrates practical AI implementation patterns and could inspire automation approaches for his web agency tools or educational side projects.

This hits Brian's interest in personal development and optimization, but generic book lists are overdone content. However, his unique angle as a tech founder who's moved beyond his 20s could make for interesting contrarian takes on what actually matters for building skills and wealth in tech.

The core insight about "top talent" driving workplace evolution is solid, but this feels more like rehashing obvious remote work trends rather than offering fresh angles. For Brian's audience of engineers and side-project builders, the real story isn't *whether* remote work will win, but *how* to capitalize on this shift tactically.

This is a political podcast interview with Canadian Conservative leader Pierre Poilievre discussing government philosophy and policy. While it touches on economics and governance, it's primarily political content that doesn't align with Brian's technical expertise or typical writing domains.

This is a technical deep-dive into color spaces that's pretty niche for web development. While it touches on frontend tech that Brian works with, color space optimization isn't directly relevant to his fintech platform work or current side projects. Unless he's building design tools or has specific UI color accuracy needs, this is more "interesting but not actionable."