标签：#Web

HI people. I'm looking for a template like that. I made a simple Html note app by Claude and want to make it a propher Android app. I don't know coding. I don't think i want to spend year learning this too. I make it just for personal use and won't publish it on google story or anywhere else. I liked Web2apk Builder but it's not free (i don't have money, honestly). But with Android studio i have to deal with hundreds unknow unknow so i wonder if there is a template outhere (maybe on github) that could help me out ? Thank you for your attention to this matter !!! submitted by /u/Moonnnz [link] [留言]

​ Hey folks i am reaching out in a bit of distress. i am software engineer i been in the industry for 3 years 2 years as a freelancer and over a year as a corporate employee. I have shipped hundreds of features, fixed legacy code base others wouldn't dare to touch. My latest feat was to ship a fully fledged Crypto Trading platform to production. My clients are secretive but their projects are really interesting. Multi encryption dashboards with AES. And what not. Automations through kestea. Long story i have massive exposure to industry practices and modern trends in tech. i am writing APIs in Elysia and Go. Changing legacy redux to modern zustand. I am experienced with docker and Kubereeties and i manage multiple servers for my clients. I kinda lean towards bare metal more What im struggling at is im getting paid dirt cheap cause i live a 3rd world country. 300 dollars/ month. I been struggling to get clients online and so much so i have spent hundreds of dollars on upwork and been trying different platforms. But nothing. I know its a luck's game too but i still feel like im doing smth wrong. My rates are all over the place i have charged clients 30$/ hour and im getting paid like 300/ month at the same time If i do find a client its someone local who also pays dirt cheap but way more then my job does very rarely i am satisfied with the work I've given. The argument my job place gives is i lac experience and we don't have clients. What should i do form here on out im getting anxious about my future and doubting myself now. Like i know how the code works how systems work what the trend is but getting client's is where i am struggling Ps i am working 2 jobs like 15-16 hrs a day one is my secure permanent job that pays dirt cheap and other ones are my freelance cleints that pay me decently ig. But i find them once every 3 months Ps ill appreciate some reconditions Oh and another PS : i made a promotional post earlier and was lazy to edit that so now i made a full post

It’s more like Wiktionary + Wikidata. So there will be: - At least 2,000 words (with a change history). - User accounts (usernames and contributions). Now, is there a completely free online database service that can handle all of this? submitted by /u/Free-Ant-463 [link] [留言]

Hi all, my friends and I build an open-source tool which uses static analysis and a slim layer of LLMs to visualize the architecture of a project. The tool is open-source: https://github.com/CodeBoarding/CodeBoarding We have also generated quite a few projects over time you can find them all on github as well: https://github.com/CodeBoarding/awesome-architecture-mds What are some projects that are interesting to you, I will visualize them to see how are they build! submitted by /u/ivan_m21 [link] [留言]

The conversation about who reads your website has been shifting. Agents are part of it now. ChatGPT fetches URLs. Perplexity reads content. Shopping agents try to complete purchases. Coding agents hit your API. Most of those products were built for humans, tested against humans. The agents showed up later and quietly. When they can't figure something out, they don't complain. They just bounce. I heard the phrase "second audience" at a hackathon where you.com was one of the hosts. It stuck. That's what agents are: a second audience the web wasn't designed for and isn't being measured against. And now, I want to build something about it. A scanner that tells you what an AI agent experiences when it tries to use your website or your API. The internal name is Perseus Clew and the public product is Agentis Lux. The split is intentional: Perseus Clew is the engine name, part of a suite of AI builder tools , and Agentis Lux is the product-facing name (Latin for "light of the agent") that describes what agent users see. This isn't a launch post. I just finished a docs phase, and I'm about to write code. Before I do, I want to put this in front of dev.to builders and find out what I'm missing. What it will do Three layers: Deterministic scanning. Twelve check categories — six for frontends, six for APIs — looking at HTML, ARIA, structured data, OpenAPI specs, error responses, idempotency patterns. Same input, same score, every time. The methodology will be published, the weights will be public, and anyone can audit it. AI-readiness scoring tools have a reputation for inflating numbers and hiding their methodology, so the trust floor is making everything inspectable. That's the foundation the rest sits on. An AI-written verdict. After the score, a Bedrock call reads the top findings and writes one sentence about what an agent experiences. Something like: "An agent visiting this page can read your product descriptions, but can't tell which button starts checkout, so it can't f

We were running a cloud-hosted platform on AWS EKS , with EC2 worker nodes managed by us, MongoDB Atlas for NoSQL workloads, AWS RDS for relational databases, and Amazon ElastiCache for Redis for caching and temporary data. Over time, the infrastructure had grown the way most real systems grow: more services, more data, more backups, more images, more snapshots, and more “temporary” resources that were no longer temporary. The platform worked, but the cloud bill was higher than it needed to be. So we started cutting waste, improving the application, and resizing the infrastructure around how the system actually behaved. The result: around $120,000 in annual savings , without sacrificing reliability. The Problem Was Not One Big Thing When we started reviewing the infrastructure, it was clear that there was no single expensive resource causing the entire problem. The cost came from many places at once. Some services were using more CPU and memory than they needed. Some microservices did not really need to be separate anymore. Some databases were oversized for their actual usage. Some storage had accumulated over time. Some backups and snapshots were kept longer than necessary. Some resources were simply unused. That is usually how cloud costs grow. Not because of one bad decision, but because of hundreds of small decisions that were reasonable at the time and never revisited later. So instead of looking for one magic fix, we approached the problem from multiple angles: application code, architecture, databases, Kubernetes resources, storage, backups, caching, and non-production environments. The Optimizations 1. Making the Application Use Fewer Resources One of the most important parts of the optimization was improving the application itself. It is easy to look at cloud cost as an infrastructure problem only, but inefficient code directly affects infrastructure cost. If the application uses too much CPU or memory, the platform needs more pods, larger nodes, bigger ins

We have watched tokens stream in from an LLM before where they appeared one at a time, like the model was typing. If you used the Anthropic SDK's .stream() method, it just worked and you probably never saw what was on the wire. This post will majorly focus on how a stream response works and how bugs are handled by SDK behind the hood. 1. Why Streaming exists To enable the streaming option we would need to make one change in the post request that is a single field "stream": true and it will change the response experience. Here are the pointers we take from the gif. The left side shows no streaming as the cursor blinks for 4 seconds then the whole response lands at once. The right side shows the streaming where the first word shows up in about 300 milliseconds. Words flow in as the model generates them. Both the sides have same model, same prompt, same total time it is just the right side started giving response almost 4 seconds earlier. The 4 seconds wait time for a full reply feels broken. A streamed reply that finishes in four seconds feels fast. Streaming doesn't make the model faster it makes the wait disappear. 2. What's on the wire When you set stream: true , the API stops sending a single JSON blob. It opens a persistent HTTP connection and pushes events down the line as the model generates them. The format is Server-Sent Events (SSE) a web standard. Any SSE debugger will read this stream. Here's what comes through: A few things to notice: The text lives in delta.text , nested inside content_block_delta events. Those are the events we should look after. stop_reason moved. In post 1 , we saw it right there in the response JSON. Here, it arrives at the very end inside a message_delta event, just before message_stop . If the loop bails out as soon as the text stops arriving we will never see it. Chunks don't line up with tokens or words. You might get "Hello" in one chunk and " world" in the next, or both in one. The network decides where the cuts happens and it

so here is a problem i am trying to solve: context: restful or restlike api design partial update of entity through patch request. for this example let’s say client model. the problem is that different fields can be updated but result in different business logics to be triggered. for example change to client.name is a simple update but client.status can result in an email to go to users about the client being offboarded. or changes to client.ownerId require extra validation and verification of the assigned user. or changes to client.logo_url and client.website must happen together. what is the most ideal way to code it where one path can trigger different logics depending on body schema? I want an approach that is simple to work on many routes to develop business logic. AND, simple enough for others to read and debug as needed. please assume I am using a flexible framework that top engineers will implement whatever I ask them, so I am not limited to a given framework or a solution that exists. It can be an approach that does not exist but you hope it did. submitted by /u/farzad_meow [link] [留言]

Hey folks, I create Wordpress websites almost entirely in code and CSS for speed. Up to now, I’ve only ever built websites from scratch for customers. However I’ve recently had an enquiry from a local company asking me to rebuild their extremely slow(like snail mail slow) and outdated website - I don’t really delve into the Google side of things as the websites I build tend to rank pretty well organically, however the customer is concerned about building a new website as they already show up pretty high up on Google search pages - I’ve been reading some mixed opinions and got some less than helpful advice from the website I prefer to use for hosting. Some think, as the domain name is staying the same, it shouldn’t make a difference, however, others are saying otherwise. As I’ve never actually done a migration to a new site I’ve built before, what’s the best way to go about this? submitted by /u/PhantomNate [link] [留言]

I've noticed more and more people, usually developers and tech nerds, adding a guestbook to their personal websites. First, if building a personal website is becoming more common, that would be amazing. I love that "small web" vibe. Second, the guestbook idea is awesome. I really hope it's a thing. submitted by /u/kixxauth [link] [留言]

Had a lot of fun building this one. The kitty is Sphinx; he's a feral that likes to hang out on our porch 😃 Stack is boring next.js, typescript and tailwinds. Been running the core stack for a good while now. I just build locally and upload though, because fuck Vercel 🤣 submitted by /u/classicwfl [link] [留言]

Built a small API that turns any URL into structured brand data (logos, colors, fonts, screenshots, company info, etc). Originally made it for onboarding + AI workflows, but wondering if it’s actually useful beyond my own use cases or just “cool but unnecessary”. Curious what you think: Would you use this in anything real? If yes, where? submitted by /u/Quiet-Ad2219 [link] [留言]

If you've ordered glasses from them, you can go to: https://www.zennioptical.com/myAccount/myOrders My page just spins. I was curious where my glasses order was after a couple weeks of not receiving them. The network tab shows 30+ css files being downloaded for a very simple website, 10+ trackers and advertising js scripts, and the page still won't load. How about this: SELECT * FROM orders WHERE customer_id = :id ORDER BY order_date Then you can render my most recent orders on the server and at least render some HTML with relevant data. Ok, at scale that might now work. I understand that. Zenni isn't Amazon or Google, but they probably get many requests. In that case we could set up 1+ load balancers that simply forward the request to a sharded server based on userid to balance the load. It's absolutely crazy that we could handle thousands of requests per second in the early 2000s with a few servers in a colo facility and these days everyone has to pretend their facebook or myspace that needs to analyze complex graph connections between people. I just want to see what the status of my order is. It's not that hard. submitted by /u/DrAwesomeClaws [link] [留言]

Every "what should I build" thread on here is full of AI wrappers fighting over the same five SaaS founders. Meanwhile there's a guy sitting at a loading dock right now, doing arithmetic in his head, who is about to undercharge his broker by a few hundred bucks because nobody built him a 30-second tool. I built that tool. It's a free detention-pay calculator for truck drivers. This is the build log — the niche-selection, the single-file stack, and two decisions (an SVG gauge and a no-mail-service auth scheme) that were more interesting than the app deserves. I'm not a trucker. I build small free web tools for industries other may find unglamourous or not enticing enough. That honesty matters later. The problem (worth $2–6k/yr to one user) Truckers get a "free time" window at a dock — usually 2 hours. Past that, the broker owes detention pay (~$50–100/hr). Drivers leave an estimated $2,000–6,000/year of it unclaimed, mostly because the math + the paperwork is annoying enough to skip. So the spec wrote itself: In/out times + free hours + rate → dollars owed. Export a dispute-ready PDF they can email the broker. Work on a phone, no login, instant. Validating before writing a line The mistake I almost made: assume the niche is empty because I'd never heard of it. I checked. It is not empty — DockClaim ($49/mo, GPS tracking), Detention Buddy, a couple of $9.99/mo App Store apps, even a free email-gated web calculator or two. That killed my first instinct ("be the only one") but clarified the real wedge: everything is a paid app download or email-gated. The opening was a genuinely free, no-signup, instant web version that also generates the claim PDF. Not "the only detention tool" — the one with the least friction. I'll say more on why I'm careful about that claim at the end. Lesson: validate to find your angle , not just a go/no-go. "Crowded but all friction-heavy" is a fine market. The stack: one HTML file No framework. The whole app is a single self-contained .html — m

I have been using PandaCSS + Ark UI to build out my components on my app. I kind of like it, I mean really its an alternative to Tailwind basically using CSS in JS, but with full types so you don't need an extension to get auto-complete. Where it gets clunky for me though is the build tooling having to build the styled-system directory with everything...but I mean I guess Tailwind has its own building configuration. I'm just curious cause I've kind of liked it, but really see it used much. Most I can find on info is like videos and stuff when it first came out. submitted by /u/k032 [link] [留言]

Hey everyone, I’m the author of prose, an MIT-licensed SDK/engine for building reading apps: https://prose-reader.com/ It’s a TypeScript, web-based reader engine that can be used to build anything from a simple image/archive-based comic or manga reader to a more complex EPUB reader with navigation, search, annotations, gestures, zoom, pagination, and custom reading behavior. It supports EPUB and archive-style formats like ZIP/CBZ/CBR, and can run in the browser or inside mobile apps through WebView/React Native. One of the main ideas behind Prose is its enhancer system , which works like a plugin system. Enhancers let you add or modify reader capabilities without changing the core engine, so apps can build their own UX and features on top. The project has been around for about 6 years, but I haven’t promoted it much. It’s also used in Oboku , an open-source reading app I’ve been building: https://oboku.me/ AI disclaimer: I have about 15 years of experience as a developer, and I use AI as a tool to help me iterate faster and improve quality, not as “vibe coding” or a replacement for my own judgment. It has helped me deal with many small problems and move the project forward faster. I’m looking for developers who might be interested in trying it, giving ideas, or providing feedback to help improve it. GitHub: https://github.com/mbret/prose-reader Docs: https://doc.prose-reader.com/ Demo: https://demo.prose-reader.com/ Discord: https://discord.com/invite/dffDEgwNc5 Would love to hear what you think. submitted by /u/yabai90 [link] [留言]

Link: https://nova3d.xyz It's free but you'll need to bring your own API Key (BYOK). For open source enthusiasts, check out the github repo at: https://github.com/RareSense/Nova3D This project is a big deal if you see limitations of current AI 3D generators (like Meshy or Tripo). They produce solid, monolithic 3D objects that look good but are practically useless, because: - Want to change the arm of a robot you generated? Regenerate the entire asset. - Want to edit something manually? The whole thing collapses because it's not actually structured. - Want to rig or animate it for a game? Can't easily do that, because it’s a dead, monolithic blob instead of a functional, modular asset. This is a flutter front-end with a python, fastAPI and headless blender back-end. Would love to get community feedback! submitted by /u/mhb-11 [link] [留言]

The same issues keep showing up — the kind that look fine but quietly cost signups or search ranking. Sharing in case it helps your own site: Forms with placeholder text instead of real labels. "Email"/"Password" shown inside the box looks labeled, but it isn't — the text vanishes when you type, and screen readers + browser autofill don't read it. Quiet signup killer. Heading levels that skip. Jumping from an H1 straight to an H3 with no H2. Invisible to the eye (it's in the markup), but it confuses screen readers and how Google reads your page. A main CTA that doesn't actually go anywhere. More common than you'd think — the button looks fine but the click loops or dead-ends. Worth literally clicking your own "Get started" and following it through. Missing title / meta description. Google then writes its own (usually worse) snippet for you, costing click-throughs. No social preview tags (Open Graph). Share your link on X or Reddit and it shows a blank, ugly preview instead of a title + image. Founders share links constantly, so this one stings. Most take 5 minutes to fix once you know they're there. Full disclosure: I built a tool that checks for this ([Sweep]( http://www.usesweep.app) ) — happy to run yours and send the report if you drop a URL below. But honestly, just checking these five by hand is worth an afternoon. submitted by /u/Hairy_Wash_9086 [link] [留言]

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lrc to help devs discover the project. Do give it a try and share your feedback for improving the project. You might not have noticed, but Chrome quietly started shipping a local AI model called Gemini Nano bundled right into the browser. No API keys. No cloud round-trips. No per-token cost. It just runs on your machine. The interface to talk to it is called the Prompt API , and it landed in Chrome 138. I spent some time going through the full API surface and built a playground that lets you experiment with every feature session management, streaming, structured output, multimodal input, response prefixing, and more in one page. This post walks you through all of it. Why does this matter? On-device AI flips the usual tradeoffs: Free at runtime — the model runs on the user's hardware, not your servers Private by default — no data leaves the device once the model is downloaded Works offline — after the initial download, no network required Low latency — no round-trip to a data centre The catch is that Gemini Nano is a small model. It's great for classification, summarization, Q&A on focused content, and structured extraction. It won't replace GPT-4 for complex reasoning. Think of it as a smart, free, always-available layer you can add on top of your existing product. Enabling the API The Prompt API isn't on by default in all Chrome builds. Enable two flags: Step 1 — Go to chrome://flags/#optimization-guide-on-device-model and set it to Enabled BypassPerfRequirement . Step 2 — Go to chrome://flags/#prompt-api-for-gemini-nano and enable both the base API and the multimodal option. Relaunch Chrome. Then visit chrome://on-device-internals to check the model download status. First use will trigger a download — Gemini Nano is a few gigabytes. The Playground I put together a single-file HTML playground that covers the entire API

1. Stale closure & primitive capture What is the output of the following code? function createIncrement () { let count = 0 ; const message = `Count is ${ count } ` ; function increment () { count ++ ; } function log () { console . log ( message ); } return { increment , log }; } const { increment , log } = createIncrement (); increment (); increment (); log (); Test your understanding of closures, lexical scope, and primitive value capture. ✅ Output Count is 0 🧠 Explanation This is a classic stale closure trap — but not in the way most developers expect. Step-by-step execution: createIncrement() is invoked → new lexical environment created: count = 0 (mutable binding) message = "Count is 0" (primitive string, interpolated immediately at assignment) Inner functions increment and log are defined. Both close over the same lexical environment. increment() is called twice: count mutates: 0 → 1 → 2 ✓ This works as expected. log() is called: It references the variable message message still holds the original string value "Count is 0" The template literal was evaluated once, at the moment of assignment — not re-evaluated when log() runs. 🔑 Core Concept > Closures capture variables , not expressions . > But if a variable holds a primitive value (string, number, boolean), that value is fixed at assignment time. message is not a live reference to count . It is a snapshot . 🛠 How to fix it (if dynamic output is desired) Re-evaluate the template literal inside log() : function log () { console . log ( `Count is ${ count } ` ); } 🎯 What this question tests Concept Why it matters Template literal evaluation timing They run at assignment, not at access Primitive vs reference types Primitives are copied by value; objects/arrays are referenced Closure capture semantics Closures close over bindings, but the value of a primitive is immutable once assigned Mental model of "live" variables Not all variables in a closure are "live views" — only the bindings themselves are 2. JavaScript co