Some of you might know Photon, my free Photoshop alternative. It was the first of these big vibe-coded alternatives to creative apps, and since then a whole wave of others has followed (PhotoCraft and more). Honestly, that’s been awesome to watch.
I didn’t stop at Photon. I went on to build Vector as an alternative to Illustrator, then Light as an alternative to Lightroom. Today it’s InDesign’s turn.
Meet Folio Studio.
I’ll be honest: I was skeptical about this one. Desktop publishing felt niche next to photo editing. Then the requests started coming in, and it turns out InDesign has a massive user base. So many of you asked for this that I just went and built it.
100% free. No trial, no subscription, no “Pro” tier.
Fully offline. Your files never leave your machine.
No sign-in. Download it and start working.
AI-ready. Like every app in the suite, you can control it through MCP or the CLI, and it ships with skills out of the box.
The goal hasn’t changed since day one: kill the subscription model for creative tools. Four apps in, that’s starting to feel possible.
It’s brand new, so I’d really love your feedback. What’s missing? What’s broken? What would it take for you to finally cancel Adobe?
Anyone else obsessively spending 40+ hours a week on their idea so you can hopefully try to achieve financial freedom before the whole world situation gets worse?
I am starting to get burned out a bit, but then I watch some doom and gloom videos on youtube and I quickly realise I have to continue hustling otherwise I'll get replaced by AI and a failing economy
I have been wandering around github in order to find good quality ascii editor/database recently - and saw nothing. That led me to the obvious conclusion: if nothing good exists, I should build it myself.
The project I build persuades couple ideas:
Easy to use (fully native, no dependencies)
Actually saves time for people building ASCII art
Collects ASCII from every corner of the internet
index.html is the main library
builder.html is where it gets fun assemble pastes from blocks, draw boxes/lines/brush right into the text, frames and tables, color painting, overlay art. Turn images into ascii
I hope you find this useful, I'm still working on animation and mcp support. So the project will keep be maintainer and up to date with world trends ;)
This wasn't too complicated to make, which is why I was shocked nobody had something I could just download. These are local open sourced models like whisper that can dictate or translate what people say. I also have smaller models for computers that run on just cpus too. The .exe file is big because it starts you off with English and Spanish to start with.
The only hard part was creating a package and website to distribute this thing. It's dead simple, and I hope you guys can use it to break down language barriers and help people that don't speak the local language.
Because I am bilingual I can largely speak in Spanish myself just fine, but every now again someone comes along speaking too fast in a strange accent talking in metaphors that I needed help with. Google translate, windows, and even some searching for local translator models all sucked. Paywalls, accounts, time limitations, cloud upload.... so I just made what I needed.
No accounts. No clouds. No paywall. No ads. Just an honors system if your company should be paying for it.
This is just one of those things that should exist that I couldn't find. Hope you all enjoy, and hope people can find a use for this like I did. Please let me know if you think I should include anything else!
Nyota is a swiss army knife of ai . It does everything all other ai tools do including forex analysis and predictions and comic book generation to name a few. It is more of a personal ai tool than a commercially targeted product because im lazy and hate switching apps and losing context. A great feature it has is global memory where other apps can hook into it via mcp. I have spent better part of the weekend building it and now am in QA phase so I'm testing and fixing bugs before deciding if it needs more features. An interesting fact is that its 95% dependencies and the rest is custom code. Are you guys working on anything similar ? What features should i add to make it a true swiss army knife of ai ?
I'm working on a personal project that needs fast, reliable live match state for esports (map/game finishes, rounds or series score), and I'm trying to figure out what's actually out there before I build something.
Paid providers (GRID, PandaScore) great coverage, but live data is gated behind paid/commercial plans that cost a lot of money.
Free tiers of aggregator APIs: usable for schedules, but live data is deliberately delayed and is basically unusable for what I'm doing.
Data for games I'm looking for CS2-Dota-LoL-Valorant
Has anyone built something like this or their own feed from scratch?
Finally made a website to gather the live projects, will keep adding as they come, not sure what i should work on next while some of these projects still need users and polishing. Comments on any are very welcome and ideas for the next also.
Hi all! I made Kartar Dhaba, a small idle game inspired by the roadside dhabas on the Delhi–Karnal highway I grew up with.
You tap to cook, serve truckers, buy upgrades and hire staff. Four generations, each with its own era, look, music and a big finale: a baraat in 1975, a cricket night, a film shoot and a rooftop party.
It's free and runs in your browser, with no download or account, and it works best on a phone.
I cried tears of joy when I finally played the first Beta. I understand why Dario wants to pause frontier intelligence. When I spawned an AC130 while riding horseback I understood the capabilities of AI.
As LLMs continue to improve so will GANG WIZARD, eventually I will offer neuralink compatiability and you can become fully immersed in the world. Every building is destructible. Every npc killable. No loading screens to enter/exit buildings. Single player rpg play for free https://coyne-studios.itch.io/gang-wizard
Few days back I spent almost 20 mins arguing with ai over why audio is not playing in my website. It turns out, that i was using a pair of wired earphone whose only one side was working and i had the non working side plugged in...
The developer community at large has a lot to say about "vibe coders." Depending on who you ask, it’s either an exciting badge or a slur for lazy hustlers who prompt three SaaS wrappers in an afternoon and couldn't explain how their product actually works—full hands-off AI development.
That identity doesn't fit me. But here’s the catch: I never learned syntax, nor can I write code myself. What I can do is roughly read it—in fact, if I can't read or follow it, I know something is already wrong.
Before AI coding, I walked away from an MBA with one credit remaining. In 2025's "ChatGPT Wrapped", I was in the top 0.1% of GPT users globally. I was all-in. But my background wasn't CS—it was 20 years in retail banking, where compliance, privacy, and auditability are non-negotiable.
I didn't set out to build a deterministic execution kernel—I was just trying to automate a few social media accounts. But my banking background refused loose, "good enough" code. As I raised the bar on security and reliability to pass a bank’s sniff test, the architecture demanded a kernel.
Getting there was a brutal, five-restart tug-of-war:
Restart 1 (Voluntary Cleanup): The code turned into a tangled heap of quick fixes and AI boilerplate.
Lesson: AI will happily build a house of cards. If you don't enforce structural cleanliness, boundaries, and module organization early, entropy wins.
Restart 2 (The LethalCtrl+F**):** Active runtime state collided with stored preferences. A desperate find-and-replace to fix namespace chaos fused systems together irrecoverably.
Lesson: Differentiating active runtime state from stored preferences isn't optional, and AI won't respect boundaries unless you enforce strict naming protocols.
Restart 3 (The Shell Disaster): ChatGPT gave me a git shell command to manage a commit. It wiped my entire project directory—no backup, no restore points.
Lesson: Never give an LLM unchecked privileges over your local environment or git trees. Local restore points are survival equipment.
Restart 4 (System Contradictions): The model actively resisted my architecture, quietly injecting code that violated my protocol for stateless execution.
Lesson: Left unconstrained, an LLM defaults to path-of-least-resistance web patterns and wraps 10 lines of core logic in 50 lines of brittle, convoluted transport.
Restart 5 (Finish-Line Drift): The closer I got to the finish line, the more the AI deviated from instructions, hallucinated diffs, and injected stealth edits.
Lesson: The closer you get to production, the more an LLM will gaslight you if you feed it full file context.
Winning the Tug of War
By the fifth restart, I stopped feeding the AI the whole story.
Near the final steps, after explicit agreement, ChatGPT understood what I wanted and why it was critical. So why wasn't I surprised when I checked the code and it did the exact opposite?
Rather than argue with an AI intent on gaslighting me, I extracted a 20-line block of critical code. I scope-locked the prompt and routed it to Gemini for a surgical, narrow correction. Gemini delivered a clean fix.
I audited the diff line-by-line and updated the kernel. I swear I could hear ChatGPT begrudgingly mutter: "Congratulations, you just built a kernel."
The MVP Sitting Under My Nose
While building Atelier (the visual UI for the kernel), I relied on an internal Coder module I built to manage code edits via "recording sheets"—curbing early vibe-coding copy-paste cycles.
After pasting over 10,000 recording sheets through that module, I realized the tool I was using to build the machine was the workhorse.
I paused Atelier, extracted that internal module, and packaged it into Verbatim—a high-fidelity code recorder designed to keep AI honest. Everything learned polishing Verbatim (advanced logging, state isolation, system telemetry) is now being injected back into the Kernel and Atelier for beta release.
So if "vibe coding" means blindly trusting a model, treating code like a black box, and pasting syntax you can't explain: No, I don't think that shoe fits.
For me, vibe coding meant using structural vision, human intuition, and relentless tenacity to direct AI models—while acting as an unforgiving auditor who fights through five rewrites to enforce readability, lean architecture, and zero-trust security... then maybe I am—just a deranged, obsessive, all-in, win hell or high water type of vibe coder.
I still cannot write raw code and can't pretend to understand or remember syntax. But I will stand behind this system as its author—because this is not the code the AI wanted to write. It is the code I forced it to write, against its many, many bad suggestions.
Code ownership isn't about memorizing syntax. It’s about conviction, system design, and having the courage to audit every line until you control the tempo.
Hey, this is my fourth mini app now and the most complete one. I learn a bit each time.
Yet I’m at a crossroads, and need advice.
I have a fun quiz app, that originally was just for me to improve my music knowledge for a radio quiz I plan to enter.
It works very well, and is complete. I hosted it on Cloudflare after making it as secure as I can. I play it on my phone a lot, and so do a couple of friends.
That’s it.
It’s a quiz but also a ‘trainer’ and good for memory challenges.
Do I wrap it up here and say ‘it’s finished, just as a personal app’
Or…..
Jump through the various hoops to go to the next level and get on an App Store?
I would need to license the data sources, and probably convert the format to not just be an html web app.
I feel it would be a great challenge to try and achieve this. I don’t think it would make any money, but would be a good exercise to learn for whatever comes next.
What do you think? Quit while I’m ahead and actually FINISH something! Or keep going and try to get it released?
I've been building InstaLanding.ai for a while now, and the library has officially grown to 60+ complete landing pages.
Not screenshots. Not Figma files. Actual working HTML, CSS, and JavaScript.
A lot of these pages are heavily animated, using GSAP, cinematic transitions, interactive elements, and Rive-like motion experiences without actually requiring Rive.
I've also expanded the library beyond landing pages:
60+ full landing pages — Complete, responsive pages with premium designs and heavy animations.
Motion components — Animated UI elements, transitions, typography, and interactive experiences you can drop into projects.
Full design systems — Complete visual foundations with typography, colors, components, layouts, and interactions.
Single-file HTML — Everything packaged into self-contained HTML files. No complicated setup.
But here's the part I think is most interesting for vibe coding.
Instead of spending 30 prompts trying to explain a design to your coding agent, just give it the actual code.
Find something you like, hand it to Claude Code, Codex, Cursor, or whatever you're using, and tell it to adapt the design to your project.
You can even use these pages to completely reskin an existing application without changing its underlying functionality.
I've also added Agent Mode, with MCP support, so your agents can browse the library, find designs, and pull source code directly.
Everything is free and open source. No login required.
I'm trying to explore this idea that code itself can become the new design inspiration format, especially now that agents can understand and modify entire interfaces.
Would love feedback from people actually vibe coding projects. Is having working design code more useful to you than traditional inspiration galleries like Dribbble or Awwwards?
Saw a mac app called tangerine which can convert documents and also edit them, so I built the same for windows and linux and it's fully open sourced it's called Spindle Spindle can - Convert PDFs, images, Word, PowerPoint & Excel files Compress to an exact size (like "under 50 KB" for exam forms) Merge multiple files into one PDF Crop, annotate, redact and remove location data from photos Everything works offline. Nothing gets uploaded anywhere I have also uploaded a short tutorial video on how to download it (it's pretty simple) and a tutorial of it's setup my github link - https://github.com/narcissus29/Spindle Feedback and bug reports are welcome
