In 2024, 68% of startups we surveyed abandoned no-code MVP builds within 6 months due to scalability bottlenecks, while custom SaaS builds took 3.2x longer to reach production but delivered 4.7x higher per-user LTV over 18 months. The choice between Bubble and custom SaaS isn’t about 'code vs no-code' – it’s about matching your scaling trajectory to your tooling constraints.
Some time has passed since my last love-hate post about this stack. Short update: I hate to say it, but cough — I like it.
A while back I wrote a post called "Wolverine + Marten: My story and subjective take." The TL;DR was: I went from skeptic to cautious optimist, the codebase shrunk a bit, and I told you to commit fully or don't bother.
A few months and a lo...
A deep, practical mapping from Java to Dart: syntax, type system, concurrency, tooling, Flutter, and backend (Shelf, Relic, Serverpod, and the broader pub.dev ecosystem). This guide is written for engineers who already know Java and want fast mental-model transfer plus honest gaps (what one language has that the othe...
Keeping inventory accurate across Shopify, warehouses, and marketplaces sounds simple. At scale, it is one of the hardest engineering problems in ecommerce.
A single API call after each sale works fine at 200 orders a day. At 20,000 concurrent transactions, it collapses.
Here is what breaks first:
Privacy and web search are in constant tension. Every time you type a query into a search engine you are handing over something valuable: a window into what you are thinking. Most people accept this trade-off without much thought. This post breaks down the real privacy risks at every layer of the search stack and explains exactly where Hister fits in.
We will take a look at different pr...
This is a submission for the Gemma 4 Challenge: Build with Gemma 4
*Most apps still treat “healthy” like it’s a universal setting.
High protein? Great.
Low fat? Great.
Organic? Great.
*
Except… that’s not how real bodies work.
The real‑world problem
In the real world, “healt...