WebDeveloperMentor

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WebDeveloperMentor

WebDeveloperMentor

@MentorWebDev

Daily dose of web development. Managed by @csaba_kissi

Katılım Aralık 2021
12 Takip Edilen81.5K Takipçiler
Venelin K.
Venelin K.@venelinkochev·
time to pick up my SEO game... building comparison pages for @DirectifyApp
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WebDeveloperMentor
WebDeveloperMentor@MentorWebDev·
Be honest... which domain makes a project feel more credible?👇 1) .com 2) .co 3) .io 4) .app 5) .dev 6) .cloud 7) .ai
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Sevalla
Sevalla@sevalla_hosting·
API pagination is how APIs split large datasets into smaller, manageable chunks instead of returning everything at once. No pagination → returns all records in one request. Easy to build, but can become slow, expensive, and unreliable as data grows. Offset-based → uses limit and offset, like “skip 20, return 10.” Simple and common, but performance can drop on large datasets, and results may shift if new records are added. Keyset-based → uses a stable field like id or created_at, for example id > 100. Much faster for large datasets, but requires consistent sorting and works best with indexed columns. Cursor-based → the API returns a cursor token that tells the client where to continue. Great for real-time or frequently changing data because it avoids duplicates and missing records better than offsets.
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Csaba Kissi
Csaba Kissi@csaba_kissi·
🚨 NEW PROJECT LIVE! I just launched a tiny SaaS experiment 👀 Here’s how it works: • Anyone can buy ownership of the homepage • Once you buy it, your profile becomes the public face of the site • Starts at $15 • Price goes up $5 after every claim Ownership is temporary. Bragging rights and dofollow links to your site are forever. Who wants the page first? 🚀 iownthispagenow.com
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WebDeveloperMentor
WebDeveloperMentor@MentorWebDev·
What for what? 🖼️ Frontend →HTML + CSS →Javascript →React →VueJs →Angular →Svelte 🔙 Backend: →Nodejs →Python/Django →PHP/Laravel →C# →Java 💽 Database →MongoDB →MySQL →Postgres →SQLite 📱Phones: →React Native →Flutter →Swift 💻Desktop: →Electron →Tauri →C# →Swift 🖥️ System →Go →C++ →Rust Add more 💬👇
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Emma K McGrattan
Emma K McGrattan@emmakmcgrattan·
We're excited to announce VectorAI DB, the first vector database purpose-built for high-performance, reliable AI at the edge. RAG isn't dead. It just can't run in the environments that need it most. In manufacturing, 46% of AI pilots never leave the OT network. Healthcare, defense, and financial services are no different. VectorAI DB runs RAG pipelines, semantic search, and real-time AI agents on-premises, at the edge, or air-gapped. Before today, 1,000+ devs across three hackathons had already built on it. A maritime AI system. An on-device AI therapist. Cardiac imaging on a closed hospital cluster. And these are just a handful of what VectorAI DB makes possible. VectorAI DB is NOW OPEN to the public. Come throw your hardest problem at it. Download link in the comments.
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WebDeveloperMentor
WebDeveloperMentor@MentorWebDev·
I spent an afternoon modeling out the real cost of managed vector database pricing, and there's a structural thing you only see when you run the numbers. The cost scales with index size. 10GB index, one query costs X. 100GB index, that same query costs 10X. 1TB, it's 100X. same query. same answer. completely different bill. The reason is that managed providers keep your entire index in hot memory. You pay for the RAM whether or not your vectors are being queried. It's economically rational for them. It's a slow trap for you. At a small scale, it's invisible. At 50M+ vectors with any real query volume, you're looking at thousands per month for retrieval alone, before you pay for egress, embedding, or anything else. VectorAI DB is a Docker container. fixed compute. The pricing model is your infrastructure bill, nothing else. launched today.
Emma K McGrattan@emmakmcgrattan

We're excited to announce VectorAI DB, the first vector database purpose-built for high-performance, reliable AI at the edge. RAG isn't dead. It just can't run in the environments that need it most. In manufacturing, 46% of AI pilots never leave the OT network. Healthcare, defense, and financial services are no different. VectorAI DB runs RAG pipelines, semantic search, and real-time AI agents on-premises, at the edge, or air-gapped. Before today, 1,000+ devs across three hackathons had already built on it. A maritime AI system. An on-device AI therapist. Cardiac imaging on a closed hospital cluster. And these are just a handful of what VectorAI DB makes possible. VectorAI DB is NOW OPEN to the public. Come throw your hardest problem at it. Download link in the comments.

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WebDeveloperMentor
WebDeveloperMentor@MentorWebDev·
LEARN JAVASCRIPT BEFORE REACT LEARN JAVASCRIPT BEFORE REACT LEARN JAVASCRIPT BEFORE REACT LEARN JAVASCRIPT BEFORE REACT LEARN JAVASCRIPT BEFORE REACT LEARN JAVASCRIPT BEFORE REACT LEARN JAVASCRIPT BEFORE REACT
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Eleftheria Batsou
Eleftheria Batsou@BatsouElef·
What's one small coding win you had this week? Big or tiny, share it.
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WebDeveloperMentor
WebDeveloperMentor@MentorWebDev·
Stage 1 – HTML Stage 2 – CSS (Grid, Flex) Stage 3 - Git + GitHub Stage 4 – JavaScript, DOM Stage 5 – React || VueJS || Svetle || Angular Stage 6 – REST API Stage 7 – Node.js Stage 8 – Mongo Stage 9 – Build projects to gain experience 🏆 – Full Stack developer. 🙌
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Sevalla
Sevalla@sevalla_hosting·
Laravel tip 💡 The tap() function allows you to perform actions on a value and then return it.
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Sevalla
Sevalla@sevalla_hosting·
Laravel Tip 💡 Instead of using if statements outside your query, use the when method to conditionally add query constraints.
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Shefali
Shefali@Shefali__J·
10 GitHub Repositories to Learn NodeJs🔥 Open this🧵 Bookmark for later🔖
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