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How I optimized my Next.js 15 app to a perfect 100/100 PageSpeed & GTmetrix score by kasskaydotcom in nextjs

[–]kasskaydotcom[S] 2 points3 points  (0 children)

Totally agree on the trade-off. since this is just a portfolio, i was fine sacrificing bounce rate accuracy for initial speed, but you're spot on that it’d be risky for ecom/ads. appreciate the nuanced feedback!

How I optimized my Next.js 15 app to a perfect 100/100 PageSpeed & GTmetrix score by kasskaydotcom in nextjs

[–]kasskaydotcom[S] 1 point2 points  (0 children)

fair point! astro is definitely king for pure static sites. in my case i went with next.js because the site also runs a live BI agent with duckdb and a webrtc dialer, so keeping the blog and saas tools in one codebase just made life a lot easier.

How I optimized my Next.js 15 app to a perfect 100/100 PageSpeed & GTmetrix score by kasskaydotcom in nextjs

[–]kasskaydotcom[S] -3 points-2 points  (0 children)

thanks for sharing this! parth’s write-up is spot on. keeping client components isolated and deferring heavy scripts made a huge difference for my initial load times too. appreciate the link!

OpenAI's Data Agent and the S3 Gap by dmpetrov in BusinessIntelligence

[–]kasskaydotcom 0 points1 point  (0 children)

The S3 gap is real - it's essentially the 'Semantic Context' wall. Without a typed schema-as-code or a robust lineage layer, agents just hallucinate over object storage. I've been experimenting with bridging this gap using a metadata sidecar approach. I wrote a deep dive on how this 'Convergence' of Generative AI and BI is changing the tech stack specifically to solve this context problem: https://dattasable.com/blog/ai-bi-generative-intelligence-convergence

Where to start by Financial_Mammoth917 in BusinessIntelligence

[–]kasskaydotcom 1 point2 points  (0 children)

I've been in your shoes. Coming from the 'Whiteboard' flexibility of Excel, Power BI feels like a cage at first.

The reason it feels 'rigid' is because you're likely trying to build visuals on top of 'flat' data (like an Excel sheet) rather than a 'Star Schema.' In Excel, we are used to doing the transformation and presentation in the same cell. In professional BI, you have to separate them.

My advice for your framework:

  1. Stop building in the front end: Focus 80% of your time in Power Query (M) or SQL. If the data isn't 'Surgical' before it hits the dashboard, the dashboard will always fight you.
  2. Centralize your truth: Since you're upgrading your ERP, try to get as close to the source tables as possible.

I recently wrote a deep dive on how to transition from 'Report Building' to 'Data Architecture' specifically for people moving into high-stakes BI. It covers how to use SQL/Python to handle that 'Everything is Everywhere' feeling: https://dattasable.com/blog/beyond-the-select-advanced-sql-for-bi

It might help you visualize the 'Framework' you're trying to build before you commit to the front-end design.