Imagine your application receives 1,000 requests in a few seconds. Each request needs to communicate with your database. Now imagine opening a brand-new database connection for every single request. That's a lot of unnecessary work. This is exactly the problem database connection pooling solves.
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Estou ingressando aqui pela primeira vez e fico muito feliz em fazer parte desse espaço. Espero aprender bastante com vocês, trocar experiências e, aos poucos, contribuir com a comunidade também.
It's day 4 after launching my website, and I noticed that most of my users are coming from the USA. This is surprising because I have done more marketing in Kenya, but since it's an AI tool, it makes sense that more USA residents would be interested. I will keep an eye on this and will probably focus my marketing efforts abroad as opposed to locally. Here is the site I'm talking about: https://aiwatchdog.vercel.app/
The landing page looks compelling. A dozen tools, familiar model names, a fair price. But that page is marketing copy, not a description of how the tool fits into your weekly workflow. A plan can look great in a screenshot and still be a poor match for your actual daily work. That gap matters now because AI is no longer a single-task tool.
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass I built Vanam, an offline AI field guide for identifying birds and plants in the field. It uses the device camera, microphone, and GPS, and runs AI models directly on the device without uploading data. The results are checked through a confidence policy, written using facts from the local database, and saved to a trail. https://vanam-app-mahaveervarma.netlify.app/ https://github.com/VegirajuMahaveerVarma/Vanam I built Vanam with separate layers for the core logic, data storage, and user interface. The app f
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