In 2025, managing subscriptions isn't just about tracking payments, it's about understanding your habits and making smarter financial decisions.
Subsavio isn't your typical subscription tracker. It goes beyond basic monitoring by analyzing your usage patterns, identifying underutilized services, and providing actionable insights to help you decide which subscriptions are truly worth keeping.
We has been experimenting a lot with workflows using Cursor / Claude Code recently, and we keep running into the same issue:
The AI is incredible at logic, features, APIs, and iteration but when it comes to UI and understanding designs things start to fall apart pretty quickly.
I think yes - but only if it solves a real problem well enough that people actually care about the product. A lot of products are adding AI because they feel like they have to. But if the core workflow is still messy, confusing, or not that useful, AI does not fix the product.
I m building PrepIt for coffee shop operations, and this is something I think about a lot. Maybe for some products, AI can be a real advantage. For others, clarity, reliability, and solving a very specific problem still matter more.
Curious how other founders see it: Is AI now a requirement, or can niche SaaS still win by being focused and practical? Also drop your no-AI project if you have one!
We're working on a free Gaming Peripherals MCU Database here's why we built it.
Chipset selection for gaming mice and keyboards is surprisingly non-trivial. The same MCU category (ARM Cortex-M4, BLE 5.x) can mean wildly different polling rate support, USB architecture, power budget, and security capabilities depending on the vendor and specific series.
We've been maintaining an internal reference at Developex for years every time we started a new gaming peripheral project, the first question was always "what MCUs are we comparing?" This spreadsheet was the answer.