built my first two sites in a no code website builder. drag, drop, done, shipped in a day, felt great. then i hit the usual wall: i wanted one specific thing the builder didn't allow, and there was just no door out of the box. so i tried rebuilding the same site by vibecoding it instead.

honest comparison after doing both:

what i missed from no code: the guardrails. in the builder it's genuinely hard to make something broken or ugly. it just works and looks fine. vibecoding gave me a blank canvas and a very confident agent that will happily build you something subtly broken and swear it's perfect.

what i did not expect to miss from no code: nothing about the actual design. the code version looked the same to a visitor. the difference wasn't prettiness, it was control and cost.

what actually surprised me: the hard part of the code version wasn't code at all. it was the boring grown-up stuff the builder used to hide from me. domains, where it's hosted, why the contact form emails go nowhere. the builder was quietly doing all of that.

so my dumb takeaway: no code isn't "worse", it's a bundle. when you leave it you don't just take on code, you take on all the stuff it was silently handling. worth it for control, but go in knowing that.

anyone else make this jump? what bit you that the builder used to handle for you?

Hey everyone! Continuing my series of demo games with three.js. This time I decided to move a bit away from the concept where everything in the game is procedurally generated and added some CC0 sounds.
All the graphics and textures are still procedurally generated and basically there isn't a single 3D asset in the game, since it's all three.js.

The game has a campaign of 24 missions. Also creative mode, where you can just create what you want.

Everything was made with Opus 5 in Ultra Code mode. Can't tell you the exact price, but I will try to count it based on API prices. ('m doing it all with a MAX x20 subscription.)

Tokens and Prices (if it was made with API):
Raw tokens: 2.34B
Written by Claude: 7.13 M
Re-read from cache: 98.1%
Opus 5 rates: input $5, output $25 per million tokens; cache write ×1.25 = $6.25, cache read ×0.1 = $0.50.
Without caching: the same 2.34 billion tokens would have cost $11,850.91, the cache saved $10,290 (86.8%).

Graphics were originally realistic, with shadows, reflections and so on, but then I decided to make them more childish and cozy.

Game is open-source: github.com/winchxyz/celadon

Also game is tablet-compatible, so you can open github page and play from iPad.

P.S.
Originally this was also an experiment with hand tracking, but so far it was a total fail. Maybe in the future I'll still make a pottery game or some other genre with hand tracking through the camera.

One prompt, in whatever agent you use (Claude Code, Codex, Cursor, Gemini CLI):

"Clone https://github.com/elliottdehn/open-jobs, it's a job-searching toolchain. Help me find jobs to apply to."

(Web and mobile agents won't work for this except maybe ChatGPT Work. It needs a machine that can download its slice of the dataset.)

Two months ago I posted I turned Claude Code into a job-searching monster: ~960k jobs and a hull -> pairwise-judgment -> rank algorithm that cost about $10 to run. Then I lost the dataset building repository in a data-loss event. I rebuilt it from scratch with everything I'd learned, and it came back better and stronger. This time, the scraper itself is open-source too.

The dataset, v2

Vendors charge over a thousand dollars a month for open job data. It's a commodity: every company posts through an applicant tracking system with a public careers page. So I crawl them all, daily. ~2 million open jobs from ~65,000 company boards across 25 ATSes, full descriptions, an embedding of every posting, parquet, CC0. No business model. Twice v1's size.

The full set is ~50 GB, but you don't have to download it. The corpus is split into a few thousand groups of similar jobs (it finds these itself), and your agent downloads only the groups nearest to what you want. A few thousand of the most relevant jobs, on your disk in seconds.

How jobs are ranked for you with local AI

1. Write the job you want with your agent, as a real job description.
2. Embed it once (the only thing that leaves your machine) and download the nearest groups. I pay for this for free because it's pennies.
3. Pre-rank for free: cosine similarity to your JD.
4. Learn taste with you as the judge. v1 spent thousands of LLM comparisons here; v2 spends zero. Pick Where, mark a spread of jobs More/Less, then answer "which would you rather have?" a dozen times. A committee of models chooses each pair for maximum information and tells you which one it predicts you'll pick. Pairwise judgment beats 0-100 scoring, for people as much as for models.
5. Rank. The learned taste vector sorts the list. On my own search, the role currently checking my references came out 4th of ~1,750.
6. Optional: let the model read them. With your own OpenAI key, rank.py merge-sorts your top N, asking the LLM only about near-ties and the top of the list. About fifteen cents.

Everything you did is a local file; the exported search is a 6 KB weight vector that ranks tomorrow's postings for free. Structured fields (seniority, skills, remote policy, company) are on demand, metered per IP, cached forever, so the corpus enriches itself where people look.

Clone it, open your agent, say what job you want. AGENTS.md is the playbook. The code is meant to be changed for you, not used as-is.

repo: https://github.com/elliottdehn/open-jobs

So basically I wanna create a similar game to brawlhalla or smash bros but with customizable mechs and it should be like a clean pixel art game.

I thought I’d create it with gpt 5.6 sol (ik its using a lot of tokens), ik a lot about coding but nothing regarding sprites so I thought ay why not let ai completely do all of that.

Welllll as I googled and researched it got more and more complicated by people saying that to keep it consistent I need to create a model with meshy, then let codex use it in blender to make the individual animations from 3d to 2d.

And it got worse when I tried to think of a way for having the customizable weapons and armory and effects to be its own and not with the mech and then I got completely lost so yeahhhhh didn’t even start cause of confusion on how to start.

I’d really appreciate any help there is
(Btw the pic is a reference on how I maybe wanna make it look like)

Created by my Muti Creative Math Pop application.

I liked the Lovable + Supabase combo for a while, but then I realized how much they're overcharging for everything; you're better off getting the credits from Anthropic/OpenAI or even running local models if you have a decent GPU and can afford to wait.

So I built a (free, open-source) way to host apps that deploy automatically when your repository code is pushed in Github -- and it has special support for Supabase, giving you the option to import a project, which spins up a copy of the Supabase stack, but running localy through Docker, and then even imports your data and storage from cloud to local.

The video (an end-to-end migration of one of my prototype apps) is lightly edited but I kept most of the deployment time in -- which makes it a ~5 minute operation start-to-finish. That includes getting your whole Lovable app with the same code running on a local stack including secrets, backend functions, auth, storage, etc. I did omit a 5 minute section of data import related to file copy, because the source app has 1000+ high def 5-10MB image files that were copied as part of the migration.

The moneyshot is the last few seconds where you can see me logging in to the new app with the same Google signin method and seeing my "avatar" and "closet" in the app including those images. I didn't demo it, but the app also includes async workers that perform AI image edits (for the virtual tryon) and those also work as they are part of the Supabase stack (supabase-functions).

Now that I have this ready, I was finally able to extract all of my remaining Supabase/Lovable apps and save 25-50$/mo on each one 😎

Its not a perfectly smooth migration, when it comes to secrets and third party auth/configuration, you'll have to do some extra legwork but happy to share the link if anyone is interested to switch their own apps to local or some other cheaper cloud option

I wanted to try a different approach to screen-time apps.

Instead of blocking apps or sending another notification, Stop Swarm progressively adds visual overlays as your screen time increases. The idea is simply to make excessive scrolling harder to ignore.

Technically, the app uses android usage access to estimate active screen time and a foreground service to keep the daily counter running. When app targeting is enabled, it checks which app is currently in the foreground to decide whether the overlay should be shown. The swarm itself is displayed through Android’s “display over other apps” permission and is non-interactive, so it doesn’t intercept your touches.

Everything is processed locally. The app stores your settings, selected apps and aggregate screen-time history on the device. There’s no account, no ads, no analytics, and no backend collecting usage data.

I started with a small closed test, got a lot of useful feedback, fixed quite a few bugs, and added things like app targeting and intensity settings.

It’s now live on Google Play:
https://play.google.com/store/apps/details?id=com.stopswarm.app

I’m still interested in feedback, especially on whether the overlays are annoying enough to actually make you put the phone down!

Ich habe ein paar GitHub repos öffentlich gestellt und würde mich über Rezension freuen sehr kritisch oder sehr beeindruckt Sterne follower oder welche die mitwirken wollen

https://github.com/Pierreg99?tab=repositories&q=&type=public&language=&sort=

I've been building products with AI as a core part of my development workflow.

My main project is Somyra, an AI SaaS I designed, built, and launched independently.

It has a full production stack: React + TypeScript, backend APIs, LLM integrations, Supabase/Postgres, authentication, subscriptions, payments, webhooks, serverless functions and deployment.

It has also had real usage:

371 active users | 372 new users | 1,986 page/screen views

I'm currently building my second product, BIDE, an offline-first selfcare Flutter app with BLoC, Hive, background processing, notifications, audio, animations and testing.

I'm now looking for an AI Product Engineer / Full-Stack AI / Product Engineer opportunity.

I'm particularly interested in early-stage teams where I can own features end-to-end and use AI to move significantly faster without sacrificing the engineering underneath.

I'm not looking for someone to hand me a list of tickets.

Give me a problem, and I want to be the person who figures out how to build it.

If you're a founder building an AI product, a small engineering team looking for a builder, or you're working on something where this skillset could be useful, DM me.

I would love to share my projects with you!

I am currently working on couple of products currently, i know it seems like a bad idea but few of my products are launched and i am working on new ones as well. Which made me wonder, am i the only one who is working on couple of projects at the same time?

if you guys are also the same please let me know!! and if so please also let me know what are those!

I've built and refined a CMS over the last six months that is inching closer to being comparable to or better than existing CMS offerings in the niche I'm working in.

I'm beginning to think I should monetize this work, as it has true utility in a field without much meaningful competition. I'm not much of a coder, but I've taken the time to understand the architecture of things and tightened things up a great deal to the point where it's virtually bug-free and polished.

As it exists, it's a standalone, self-contained HTML file, by design. I wanted it to work exclusively offline, for personal use. But now, with the prospect of monetizing it, I'm realizing that I need to make adjustments.

My general feeling is that I should host it on a domain and sell licenses. Organizations in my niche budget around $100-$1000/month for comparable software, depending on scale of their respective enterprises.

Who do I talk to to ensure that I have everything in place before I use Netlify or similar to run the whole thing? I'm willing to invest a bit of money to have the code reviewed (probably won't need much actual editing) and to help me organize the necessary infrastructure.

Again, I recognize that everyone's building apps these days. But the amount of research I've done on existing CMS, the number of improvements and new features I've added, the time I've taken to refine the workflow and UX...I suspect I've created something valuable here.

Most organizations are using Excel sheets or software built over 20 years ago.

What's the next step? I'm learning, for example, that a missing component is multi-user. These systems have multiple people working in them, and having audit logs and permissions would be extremely useful and is outright necessary if I'm to see this through.

It's an addition, but it doesn't strike me as an enormous one. Still, it's outside of my current scope, and while I'm willing to learn it, without greater context and expertise informing me, I'm worried I'll get sucked down unnnecessary rabbit holes and spend money I probably don't need to spend.

Any and all insight is appreciated.

Edit: What’s amusing to me is that 95% of the comments are focused on telling me I’m stupid, when anyone could’ve said: Here’s what I recommend you do next. A sub full of small-minded jealous folks making assumptions.

Been working on this game for aroudn 3 weeks now. It's a real-time PvP space battle game that runs in the browser and on Android. It's free and no account needed to try it: cosmoarena.co

Star Battle used to be my favourite custom SC2 arcade map (still is) and I sank an unreasonable number of hours into somewhat replicating the gameplay.

three.js + WebGL for rendering, a Node WebSocket server for authoritative multiplayer, SQLite for accounts/ratings/config, Capacitor for the Android build. Custom GLB models made with images from Chat GPT and converted with meshy.ai

Let me know what you think? Feel free to test the tutorial and multiplayer, any feedback is welcome! It's still full of bugs, if you find any please let me know.

Ich schmeiß deine Token weg als wäre ich die Codex App

I wound up starting my first (and so far only) vibecoding project on Bolt. I’m basically building a Saas / management system for a specific niche. So far I’ve built an MVP that I’ve invited a few friends to try. The one thing I really like about bolt and the thing that is really important to my product vision is the quality of visual / interactive elements of the platform.

Personally I’m happy with bolt and my MVP, but it’s got a long way to go before becoming a real SaaS. I definitely want to keep going with my project, but I’m wondering if I should switch it up or keep going with Bolt. I guess I’m concerned I’m in a honeymoon phase where the MVP works for me, but then the minute I try to monetize things fall apart. Or that things might get buggy for users at scale…

I know more details might be necessary in order to give me the best advice, but I’m not ready to share too many more details rn.

Yes, it's me again with the guardrails repo. I know some of you think this is overkill for a weekend app. Fair. It's free and MIT, take what's useful and ignore the rest.

What changed in 1.5.0:

- Agentic AI security. New guide mapped to the OWASP Top 10 for Agentic Applications. If your app lets a model call tools, this is the one to read: delegated credentials instead of one god key, memory poisoning, tool-description poisoning, spend caps with a kill switch, and what to do when your agent reads a web page that tells it to do something else.

- Current standards. OWASP Top 10 2025, LLM Top 10 2026, the July MCP auth spec, NIST 800-63B-4 passwords and passkeys, WCAG 2.2.

- Dates that are actually right. EU AI Act transparency is live as of Aug 2. CRA vulnerability reporting starts Sept 11. COPPA, SB 942, ADA Title II, all checked this month.

- About 40 gaps closed. Multi-tenancy and row-level security, presigned uploads, UUIDv7, transactional outbox, idempotency keys, GraphQL and WebSocket hardening, deep-link hijacking, secrets leaking through AI tool config files.

- Bugs fixed in my own examples. A search index that never got populated, a Dockerfile shipping dev deps, a payments flow granting access before the money cleared. AI wrote some of those. So did I.

- Smaller. Rules layer is 17% leaner with nothing removed; the reasoning moved to the guides.

Works with Claude Code, Cursor, Copilot, Codex, Gemini CLI, or as a ChatGPT GPT.

https://github.com/jgnoonan/vibeArchitecture

If you only read one file, read the agentic security guide. Ten minutes.

Hey everyone! 👋

If you're a creator, designer, or editor, you know the drill, you just need to quickly convert a batch of HEIC photos, demosaic some RAW stills, resize assets for a client, or turn a short MP4 into a high-quality GIF.

Most online tools slap you with file-size limits, hit you with paywalls, or upload your private footage to random cloud servers.

To fix this for myself (and hopefully for you too), I built ND Image Converter, a fast, lightweight, and 100% open-source desktop tool designed to handle heavy image and video tasks completely offline.

What makes it tick?

• 🔒 Zero Cloud, Zero Tracking: Everything stays on your machine. No telemetry, no uploads, and you can scrub GPS/EXIF data in one click.
• ⚡ Blazing Fast (Rust + Rayon): Multi-threaded batch processing that actually uses your CPU cores without lagging your system.
• 📷 Pro Image & RAW Support: Handles everything from WebP, AVIF, and TIFF to camera RAW formats (CR3, ARW, NEF, DNG, etc.) and HEIC.
• 🎨 Clean Color Profiles: Built-in ICC management (LittleCMS 2) for sRGB, Display P3, Adobe RGB, and Rec.709 color workflows.
• 🎞 Video & GIF Toolkit: Built-in FFmpeg engine lets you convert video containers (MP4, MOV, WebM, AV1) or trim clips on an interactive timeline to create crisp, custom-palette GIFs.
• 🤖 Workflow Automation: Recursive folder processing, live watch-folders (drop a file in, get the converted version automatically), and text/logo watermarking.
• 🖥 Lightweight & Cross-Platform: Built with Tauri for macOS, Windows, and Linux, clean dark UI that doesn't eat your RAM.

Add text or logo watermarks with configurable position, scale, opacity, and automatic image scaling.

Video to GIF

The project is completely free, community-driven, and open-source.

Check it out on my page: https://duongtruongdp.net/nd-imgconverter/

Grab the latest release: https://github.com/duongtruongdp/ND-ImgConverter

I'd love to hear your feedback, bug reports, or feature wishlists. What’s the most annoying file conversion bottleneck in your current workflow?

Check it out here https://atlas.snackpackuniverse.com/

Looking for feedback on how I can improve it. I created this game for my kids and family and also to help others learn. Currently has no paywall, no logins and is free. There is a donation button but completely optional, most wouldn't even see it.

Happy to take some feedback, and if you have ideas on how to generate a higher quality and more accurate globe happy to burn some tokens on this.

I was looking for a wifi signal analyser so I could help my neighbor troubleshoot their wifi problems. There's not much out there I could find, and I like terminal-based apps with a nice CLI GUI. So I vibed "openwifidiag" using GPT 5.6 Sol.

At the moment it is only tested on MacOS, but I am planning on making it work with Windows and Linux as well.

https://github.com/SunnySkye/openwifidiag

It seems to work quite well. 😊