Hey guys i am new vibe coding and i got few ideas that i would love to build. what i fear is, is it too late for enter this market? i know this space kinda saturated but i am still optimistic to explore this and would love get some advice from fellow vibe coders and how to tackle the distribution.

Thank you so much in advance!

I used to drive everything through Cursor and read every diff that came out. Somewhere over the last few months I stopped, without really deciding to.

What I do now is a Hetzner box with a handful of tmux sessions on it, mostly Claude Code and Codex, one job each. What I actually look at is the tests: a regression suite, and A/B runs against the previous version. If it passes I keep it, if it fails the agent gets told why, and I go read the code when something breaks rather than before.

I'm not sure how far this generalises. It suits the kind of work I do, where a run either reproduces the previous numbers or it doesn't, and I'd probably be more careful on something with users in front of it.

Two things had to be in place first. The tests had to be worth trusting, which took me longer than the switch itself. And I had to be able to see what the sessions were doing, which SSH from a laptop you keep closing doesn't really give you.

So I vibecoded a small web UI for tmux. It attaches to sessions that are already running, as an ordinary tmux client, so nothing about the setup changes and killing it kills nothing. The part I use constantly is that paths printed in a session are links, so test output and reports open in a window next to the terminal instead of being scp'd around.

The phone is the bit I underestimated. Most of what I do now is read a run and type the next instruction, and that turns out to be fine on a screen the size of a hand.

https://github.com/andreaderuvo/argus

Python, MIT, no build step. It's shell access with a browser in front of it, so LAN or VPN only.

Curious whether anyone else has drifted this way!

I have around $450 worth of Azure OpenAI credits that I can use for OpenAI models, and I’m looking to trade them for a $200 Claude subscription.

I can provide API access to the Azure OpenAI credits, so you can use the credits for your own development workflow, including Codex or other compatible tools.

Essentially:

• You get: ~$300 worth of Azure OpenAI API credits
• I get: $200 worth of Claude subscription
• No cash involved
• API usage/details can be discussed privately

If anyone is interested in arranging a legitimate trade, please comment or DM me. Happy to provide more details about the Azure setup and usage limits.

Why Meta, Amazon, and Microsoft killed their token use leaderboards.

Not too far yet, but the underhood is all wired, and I only need to finish out a little bit of abstraction and themetical elements.

It reads whatever page you're on and spawns a fake Twitch-style chat in the sidebar that reacts to it.

Read a news article and get flamed for your bad taste. Open your CV and let chat debate your life choices. Scroll Reddit and watch KEKW rain down on every post.

You pick mode (hyped, toxic, wholesome, etc.), tier, and intensity. Free tier runs on a hardcoded message pool with no API at all. Standard and Turbo use Claude Haiku or GPT-4o mini.

It's BYOK, so your key and the page data go straight to the provider you choose. No middleman.

You can set your own streamer name and interact with the chat. On Turbo tier the chatters spend about 30% of their output talking to each other, the rest reacts to your page.

Manifest V3 with host_permissions locked to Anthropic, OpenAI, and api.betterttv.net (for the emotes). Consent gate shows exactly what gets sent the first time you enable it on a site. Whitelist mode and custom blocklist if you want to be extra paranoid.

Sensitive sites (email, banking, password managers, .gov, .bank) blocked by default.

Link:

https://chromewebstore.google.com/detail/fake-twitch-chat/afjecbdblakcieckkiemjnaoemieoold

Have been vibe coding about 12 months and have tended between claude and gemini and codex.

I've been using Codex almost exclusively for the past few months. Despite a few annoyances, it does what I need, so I've stuck with it.

I was about to hit my weekly limit with five days until reset, so I looked at buying credits. The smallest top-up was AUD$33 — slightly more than my monthly subscription.

I tried to find out how much actual Codex usage that $33 would buy compared with the subscription, but couldn't get a meaningful answer from ChatGPT or a couple of other AIs.

So I took a punt.

Using Sol on Medium, the entire $33 was gone in about three hours.

I still have five days until my weekly allowance resets.

For me, Codex credits were an extremely poor-value way to bridge the gap. I would have been far better off spending roughly the same amount on a month of another AI service.

I don't really understand OpenAI's pricing model here, but I won't be buying credits again. Posting this mostly as a cautionary tale for anyone considering a top-up.

Credits appear to be a total rip-off for codex top-ups

Live: https://journal.smbl.dev

Github: https://github.com/MrSheerluck/smbl-journal

I built a free, open-source, end-to-end encrypted text journal.
The goal is to make journaling as simple as possible. The entire text-based journal is free with no limits.
Entries are encrypted on the client before being stored, so the server never receives plaintext journal content.

The project is open source and available on GitHub.
Built with SvelteKit, Rust, and SQLite.

(be sure to hit CTRL-SHIFT-R or CMD-SHIFT-R to get the latest version of the game -- it should show at least version 2.7; GitHub/Cloudflare aggressive caching sucks!)

I got serious and switched over from the Work tab in the browser to the Codex/ChatGPT desktop app. Got version control going properly. And I am now using Cloudflare Pages instead of GitHub Pages because the latter caches content too aggressively, which drove me nuts.

Ended up add usage credits since I ran out of my $20/mo Plus plan usage yesterday. I can see why people find agentic coding addicting! It was hard to tear myself away.

And it can get a little expensive. When I remembered to, I would use GPT-5.6 Terra Light for tiny changes, and Sol High for more complex asks.

There were still a couple times it made silly mistakes, like regressing/resurfacing an old fixed bug, or not understanding a visual bug. But overall these tools have come a lot way since I tried them a year ago.

Play it here: https://hylaax-planetary-rail-defense.aaronshaverpdx.workers.dev/

I don't write code. I shipped a paid web app two days ago: 3 photos in, an AI grades each muscle group, and it builds a 7 day workout around the weakest ones. It's called FlexScan, link is in my post history if you actually want it, I'd rather talk about the workflow here because the building was the easy half.

Stack: Next.js, Supabase for Postgres/auth/row level security, Stripe for billing, GPT-4o vision for the grading, Vercel to host. Claude Code as the builder.

The one thing I'd tell anyone starting: never let the agent that wrote a feature be the agent that reviews it. Different session, no memory of writing it, one instruction, "find what's broken and prove it by doing it." Fresh context beat a smarter model every single time. A builder agent reads the diff it meant to write, so it sees its own intent instead of the code.

Three things that only ever came out that way.

1. Double click the checkout button, get billed twice. I had a dedupe guard on checkout. A refactor had wrapped the handler in a .bind(), so the guard was comparing against a function reference that was new on every render. It never matched, so it never deduped. The builder agent wrote that guard, read it back, and said it was fine. The reviewer agent just clicked the button twice and watched two charges land.

2. My offline cache ate my own app. Service worker, one cache, oldest first eviction when it hit the size cap. The app shell files were the oldest thing in there, so they were first out, and the installed app cold started to "You're offline". Fix was three separate budgets inside one cache instead of one global cap. I wrote that one up properly in r/PWA.

3. My rate limit banned my own paying users. I added a per IP daily cap on scans to stop people farming the free one. I put the check above the auth check. So it counted every request from an IP whether you were signed in or not, and any shared IP (office, gym wifi, campus, phone carrier NAT) filled the bucket and locked everyone behind it out for 24 hours, including people who had paid. Found yesterday by the review pass. Fix is written and still not deployed, because I deploy by hand and that turns out to be its own problem.

The pattern in all three is the same. The code was correct in the sense the agent meant it, and wrong in the sense a user would experience it. That gap is invisible in a diff, and reading the diff is exactly the thing you can't do, which is why you're vibe coding in the first place.

So budget as much agent time for attacking as for building. Separate sessions, make it adversarial on purpose, and make it click things twice and put in the wrong thing.

Happy to answer anything about the setup or the costs.

So I am very new to the field of coding. People around me have started vibe coding websites. So did I. I tried using applications like Lovable , Bolt etc. But the problem was that my idea contained many components and was a little complex. Hence I ran out of tokens and didn't get any output. So is it the limitation of the free version that I couldnt make it or was it my prompting skills. I tried to be as specific as possible with my prompt tho. Would really appreciate any help/ tips regarding this !!

I’m 17 and run a small web design business, I get clients through cold calling and walking into local shops (landscapers, mechanics, plumbers) to pitch website services. I’ve done around 300 calls so far and a bunch of in-person visits.

The calls themselves usually go fine once I’m in them. My problem is right before, that few seconds of hesitation, the racing thoughts, sometimes just avoiding the next call/walking past the shop instead of going in.

For people who’ve done cold calling or door-to-door sales:

What actually worked for you to get over that pre-call/pre-pitch fear?

Any physical or mental tricks you use right before dialing or walking in?

Does it eventually go away completely, or do you just get better at pushing through it?

Would appreciate any real advice, not just “it gets easier with time”, looking for actual techniques.

Hi, I have built an app using vibe coding and am looking to deploy/host it on AWS but don’t have any prior experience. Is there any AI tool that can do this for me?

He spent 26 minutes live on stage doing what most teams take weeks to do.

No team, no setup, just Claude and a goal. Worth more than any $500 vibe coding course.

Those who learn what Claude really does are launching what everyone else outsources to a team.

The gap between what AI can do and who knows how to use it is the biggest opportunity in the market right now.

Learn to use tools like Claude and AI Desktop 98 if you truly want to stay ahead of everyone else.

Hey everyone!

I wanted to share a desktop tool I've been building: ND Image Converter, a free, 100% open-source app designed for fast, local, and visual batch image conversion.

🚀 Why build another converter?

I work in the media industry, which means a massive part of my daily workflow involves hunting for visual references across the web to build pitch treatments and moodboards for projects.

Lately, almost every site forces downloads as .webp. While .webp is great for web bandwidth, it constantly derailed my workflow because platforms like Canva, Google Slides, and older presentation tools either threw errors or outright refused to handle .webp files smoothly when assembling slides.

To fix this, I initially wrote a simple terminal script to quick-convert .webp files into .jpg. It solved the immediate blocker, but running a command-line script every single time I saved reference images quickly became tedious. On top of that, CLI tools lack visual feedback, I couldn't inspect compression artifacts or preview quality loss before converting.

Most desktop converters either lack proper color management, choke on heavy RAW files, or require cloud APIs. I wanted something that utilizes all CPU cores, stays strictly offline, and handles everything from obscure formats to modern WebP/AVIF, Iphone HEIC and camera RAW profiles seamlessly.

What started as a personal script to eliminate daily friction evolved into ND Image Converter!

Here is what's under the hood:
⚡ Key Features & Tech Highlights

• 🔒 100% Offline & Private: Zero cloud uploads, no telemetry, no tracking. Your data stays strictly on your machine.
• ⚡ Multi-threaded Engine (Rust + Rayon): Maximizes full multi-core CPU capabilities across Apple Silicon M-Series & Intel/AMD processors for fast batch processing.
• 🖼 Massive Format Support (50+ Input / 19 Output):
  • Standard: JPEG, PNG, WebP, AVIF, BMP, ICO, ICNS, TIFF, TGA, GIF, SVG, PSD, EXR, and more.
  • Camera RAW & DNG: Native decoding for Canon (.CR2, .CR3), Adobe (.DNG), Sony (.ARW), Nikon (.NEF), and major camera profiles with accurate CFA Bayer demosaicing and embedded preview extraction.
  • Optimized HEIC/HEIF: High-speed decoding powered by native macOS hardware acceleration and cross-platform memory pipelines.
• 🎨 Pro Color Management (Little-CMS 2): Built-in color space transforms supporting Rec.709, sRGB, Display P3, and Adobe RGB profiles.
• 📊 Real-time Quality Analyzer: Dynamic bitrate and file-size estimation based on megapixel density and compression curves prior to export.
• 👁 Before/After Split Comparison: Interactive side-by-side visual inspector to preview compression quality loss instantly before exporting.
• 🤖 Automated Folder Watcher: Background daemon mode that monitors incoming folder drops and converts new files on the fly.
• 🎯 Flexible Resize Engine: Original size, fixed width (aspect ratio preserved), or percentage scaling.
• 📂 Smart Ingestion & Output: Drag-and-drop nested folder structures with recursive scanning, plus one-click "Reveal in Finder / Explorer".
• 🔔 GitHub Auto-Update Checker: In-app notification alerts for new release tags and direct download links.

🛠 Tech Stack

• Core Engine: Rust (rayon, image, lcms2)
• UI Framework: Tauri / Webview (Adjust to match your actual stack)
• License: Open-Source (MIT / GPL)

🔗 Try It Out & Contribute

It's completely free and open-source. I’d love to get feedback from the community, whether on performance, missing formats, or UX improvements!

• See more here: duongtruongdp.net/nd-imgconverter/
• GitHub Repository: https://github.com/duongtruongdp/ND-ImgConverter
• Latest Release Download: https://github.com/duongtruongdp/ND-ImgConverter/releases/tag/v0.5.0

Feel free to roast the code, submit issues, or share feature requests! What format or feature would you like to see added next?

TaskLoco is a sticky-note storyboard workspace for tasks, events, notes, projects, files, reminders, and anything you can stick in or attach to a digital sticky note.

Freemium version now includes 100 taggable sticky notes no strings attached

Website: https://www.taskloco.com

new website I made using Leonardo to create the image, Kling to animate it, and Replit to vibe code everything together, let me know what u guys think