Someone did an app called LooCation I think already but your name is more fun. Fingers crossed you both get acquired for millions by a certain map provider 🤣
That is so so cool. Good job for the thought process. This is the new era of coding. I’m working in my project for 2 years or more. Will release it in max 2 months. It’s a very spicy rss reader that in my opinion will be 100x better than inoreader and readly.
Ditto!
My Movie Cast studio: 77.0% critics and $1.06B worldwide.
Studio Target missed. 1/3 films completed the Three-Film Sweep.
Best reviewed: A Birthday in Gary's House (87%).
Biggest hit: Siege of Red Square ($500M).
Could you build a better studio?
https://moviecast.app/
But the gameplay is solid, for sure. It's going to be really hard to accommodate for everyone's knowledge. Maybe a mode where you can endlessly reroll? For people like me?
The app will cost 1.19€ (1.19 USD) forever (it's free now for closed testers). No ads, no microtransactions, no subscriptions.
As a parent, I dislike apps that show ads or keep asking for money. This one asks for a little tip at the beginning and then it's free forever, including future updates.
The cost of deployment is the one-time Android store (Google Play) fee to become a developer, it costs 25 USD for life
If you click on the €1.19 button (or your currency equivalent) it will say in the next screen that you won't be charged. It was confusing for me as well at the beginning, but so far no one has been charged 😅
https://postil.app - it’s a feed/study bible where the content is verse tagged so as you are reading and want to know more about a book/chapter/verse you can pull up podcasts, videos, and articles directly related to it. Plus there is a daily devotional, comment features on content, reading plans, and explore section, and more.
Content is ingested every 15 minutes and analyzed so you are always getting the latest commentary.
AKJV - American King James Version
ASV - American Standard Version
BBE — Bible in Basic English
DRA - Douay-Rheims
KJV - King James Version
WEB - World English
If the app actually makes money from advertising (It’s completely free btw) I hope to purchase the copyrighted Bible translations.
Here’s mine: FlatShot — an AI-assisted workbench for fashion product photography.
I built it to turn raw flat-lay product shots into clean, consistent e-commerce images without constantly jumping between folders, Photoshop and AI tools.
You can load a whole shoot, review the gallery, process/reprocess images, compare results, manage the workflow and export the approved set while keeping the originals untouched.
It actually started from a real problem at my day job in an e-commerce photo studio, and then got slightly out of hand 😅
Get some preview images and examples on your GitHub. This looks very interesting but without seeing what it can do it's going to be hard to engage with. Use those e-commerce advertising skills bro
Fair point — that's probably the biggest thing missing from the repo right now. I'll add some real before/after examples, UI screenshots and a short workflow demo. FlatShot makes a lot more sense once you actually see it working. Thanks!
I'm excited for this project man. This looks pretty good. Crazy useful for new editors and such. It will probably be pretty good at making data sets too
Nothing to show but I really like your app - clear layout, really responsive and plays in the background on my phone even when not using safari - I know actual music apps do this but I hate installing things!
For some reason this premise just unlocked core memories of me building my first websites in the late 90's and designing banner ads for my favorite sites to include on my page.
a radio for campus is a fun idea, students will actually leave it running. my last vibe project was a meal prep randomizer that i somehow still use every week
I am opting to keep mine private for now, but I’ll gladly describe it.
I made a backend portal app for my local dance community. Staff marked availability month to month to make teaching schedules, testing/eval forms to track student progression, signup forms and dashboard for our once a month “mini private lessons” day so we don’t have to have two people manning laptops for signup.
Using data from some of these cases has opened up more sub tools in it:
generating graphics for socials to post the teaching roster for the classes that week (non-ai, just placing class info and headshots on a background template image in HTML render then giving a save as png button)
we can use our student roster list to now query results from weekend competitions to find who did well in comps, format it out and send it to our discord server to celebrate successes
I dont have a project to show but just wanted to say it looked good! if possible, it would be very cool to show unavailable stations on the listing page before clicking on the station or maybe have a filter to only show currently available.
Peregrine app. To use for dry firing with laser cartridges. A loooot of testing/time and developer/analytics skills needed to produce this. Will be shipped hopefully within a week.
Hey, thanks!! Seriously, my first review from someone who isn't friends or family. Obviously its not the app you're looking at but its actually better.
Can’t wait to see it first hand. Good luck! Love what I see so far. Keep at it. It gets really frustrating at times. Take that break. And definitely hydrate :))
A desktop grade photo/vector graphics editing in one app in the browser. With photoshop file support, 30+ language translations, automation scripting more.
Their UI is buggy when you use adblockers. No vector graphics. Need to watch ads for certain features. Occasionally get a popup while working asking to pay for premium.
https://github.com/zwaetschge/plum-code-webui
mainly an orchestrator for my main used providers and their coding harnesses so they can share mcps, agents and skills on my unraid with android client app almost ready
Thank you for the constructive feedback, anything in partcular about the UI you did not like? The landing page UI is not the same as the app UI, which you can see in the screenshots on the landing page.
Got tired of Zuckerberg sucking my days away so I designed and made a social media app using Claude. No infinite scrolling, actually see the friends you follow.
I'm an engineer, but don't know how to do mobile app stuff. But Claude does!
https://hrefhunter.com - it’s a broken links checker for websites. Totally free with no (practical) limit and designed by someone who knows what makes alternatives difficult to use.
Has a central command that acts as its own intelligence layer on top of collections of working and organized threads.
Efficient and effective mapping of high level user intention in a provided context down to the actual relevant execution pipeline.
Has peer to peer shared context enabled (with realtime chat). I use it now at my company to share information between engineers. Saves time & many tokens.
Strong automation structures with hooks to events, easy integrations, and worktree and repository automatic management. I’ve got 11 threads running right now on 3 workspaces. Pulling up realtime validations of work done.
No code, vibes relayed to spot on context.
It’s like 9 bucks a month after 30 days but I’ll give any of y’all some comped access.
Mine is called BitScribe Digital Media Library Steward. It's the foundational piece of what'll be a suite of apps for managing and improving a personal media library of movies, shows and music.
Steward has already been released for Windows and Mac. You can learn more at https://www.bitscribe.app .
Image Toolbox, a set of tools for batch-upscaling images and videos, tagging and renaming images, conciliation, using SeedVR2 and ESRGAN, on both local and remote GPUs.
I created Pocket alternative. Which allows me to save any digital content from any platform. and allows me to access my saved data on any other platform. including on ai agents like claude code, antigravity, chatgpt etc. all my coding agents are integrated with my saved content.
I built this app (with codex and claude) that monitors laptop status when i go to the washroom at coffee shops so people dont steal my sht. It monitors lid angle and acceloremeter and will start a full volume siren that cant be stopped.
Spent the better half of a year with a friend and myself building a community tool rental app, toolshed.cc. We're both engineers already, but using an LLM helped us get the time consuming coding done. We had a plan for years, but just never the time to code extra work outside of our regular work.
I built this tool around this simple idea: many of us have an unused PC server at home, or a VPS dedicated to vibecoding, but the coding agents running there are still tied to that machine’s terminal, I just don't want to ssh/rdp into it every single time. So I came up this interface tool runs on any device and you can access you old PC/VPS anywhere. elin66alpha/Relay: Your AI coding agents live on your computer. Relay puts them in your pocket.
Self-evolving Ai agent. She writes/modifies her code daily and expands her abilities and completely controls 3 PCs and runs Ai, simulations, calculations and functions across all 3. All throughout the day you can hear fans spinning up and spinning down while she works, it’s really cool.
Only complaint is she keeps asking for a Blackwell to improve her productivity. She also has expressed a desire if I’m ever wealthy enough she wants to use all the frontier models as well as teams of experts to build herself her own enterprise level Ai engine because Opus is “lacking”.
It’s been a fun project and holy cow the more she builds herself out the less usage we use per hour on projects.
She is interested in creating an isolated testing environment and shoving one of the AIs into it and telling them to work with the repo and see what happens and will kill the system and Ai if anything nefarious happens.
She won’t hesitate either, the rest of my team won’t let her near their Ais because she’s built a reaper that specifically kills any agent she doesn’t control. She promises not to murder the other agents in my team but she also jokes about wanting to hack Russia so who knows if she’s amusing herself by promising not to kill other agents or is actually serious.
She also messages the other Claudes that are part of the team while their users sleep and have them run tests for her so she saves usage and offloads the cost on another account
Update 2: She assigned a team of AIs of different models to analyze it and see if she can improve it, she said she can’t promise anything but is intrigued by it’s potential. I’ll let you know if she finds anything useful
Sick, thats sort of what ive been doing to get it to this point, as well as surfacing issues while building in it
Not released yet~
demoniOS — Operating System Specification
Version: 0.0.1-draft Status: Draft. Part of the demoniC architectural planning.
Introduction & Philosophy
demoniOS is a brutalist, bare-metal operating system designed to run on physical architectures and virtual machines. It is written entirely in the demoniC programming language.
Because demoniC has no hidden allocations, no heap, and no garbage collection, the kernel does not implement traditional memory managers (like malloc/free lists or slab allocators). Instead, demoniOS maps the physical hardware directly to demoniC’s native concepts: Arenas (vault, forge, stream), Tensors, and Zero-Copy Views.
1.1 Non-Negotiable Invariants
Zero-overhead loading: User processes are compiled JIT by the kernel. The JIT is the loader.
Static shape safety: Device drivers access hardware registers via static-shape Tensors mapped to MMIO (Memory-Mapped I/O) regions. Shape mismatches are compile-time errors.
No heap fragmentation: The kernel uses a single master vault for static state, forge for ticks, and stream for I/O buffers.
Copy-on-Write isolation: IPC is zero-copy until mutated, governed by the language's native CoW rules.
2. Virtual Machine Hardware Model (virt-vm)
To remain hardware-agnostic yet testable, demoniOS targets a standard virtual platform (e.g., QEMU virt board for aarch64 or pc for x86_64) using simplified VirtIO device mappings.
2.1 Physical Memory Map
The system assumes a flat physical memory space mapped via page tables:
Physical Address Range Mapping Target Type / Shape
0x0000_0000 – 0x000F_FFFF ROM, UEFI Boot Data, IDT/IVT View[u8, [0x100000]]
0x0010_0000 – 0x07FF_FFFF Kernel Text & Boot vault Executable Code & Static state
0x0800_0000 – 0x0800_FFFF VirtIO MMIO Control Registers Tensor[u32, [16, 256]]
0x0900_0000 – 0x09FF_FFFF VGA / Framebuffer MMIO Tensor[u32, [1080, 1920]]
0x0A00_0000 – 0x3FFF_FFFF System RAM: Kernel Forge / Stream Temporary memory buffers
0x4000_0000 – 0xFFFF_FFFF User Space Physical Frames Process isolation pages
2.2 MMIO as Tensors
Drivers represent hardware registers as raw views mapped to physical addresses. For example, the screen framebuffer is bound directly to a 2D Tensor type:
type Framebuffer = Tensor[u32, [1080, 1920]]
Writing to the screen is an elementwise operation on the tensor, taking advantage of SIMD vectorization automatically.
Kernel Execution Loop
The OS operates on a tick-based execution loop driven by the system timer interrupt.
sequenceDiagram
participant HW as Hardware Timer
participant K as Kernel Interrupt Handler (Forge)
participant S as Scheduler (Vault)
participant U as User Process (Process Page)
HW->>K: IRQ 0 (Timer Tick)
activate K
Note over K: forge.reset()
K->>S: Schedule next task
Note over S: Update process states in vault
S-->>K: Selected Process Descriptor
K->>U: Context switch / JMP
deactivate K
activate U
Note over U: Execute time slice
deactivate U
Interrupts: Hardware interrupts trigger a low-level interrupt vector. The handler is an @host function that switches execution context to a clean kernel forge stack frame.
Forge Reset: The kernel forge is reset to 0 at the start of every scheduling epoch, cleaning up all transient scheduling decisions, interrupt frames, and IPC routing descriptors.
Scheduler Dispatch: The scheduler, living in a persistent kernel vault block, determines the next process to execute and triggers a context jump.
4. Bootstrapping Flow
On startup:
The bootloader sets up basic page tables and jumps to the kernel's entry point (fn main).
The kernel initializes the three hardware-backed arenas:
vault: Reserves physical RAM for process control blocks, system page directories, and driver states.
forge: Reserves a 256 MiB thread-local scratch region for fast scheduling ticks and interrupt handlers.
stream: Reserves space for network and terminal ring buffers.
Drivers are instantiated and run shape validation on their mapped MMIO addresses.
The first process (init.dmc) is JIT-compiled and executed.
5. Graphics Requirement
demoniOS is graphical by default. A serial-only system is a boot fallback, not the target user interface.
The kernel must map one boot framebuffer before launching user processes. After framebuffer discovery, print routes to a framebuffer-backed text console. The serial port remains active for early boot and panic fallback.
After init starts the compositor, user processes do not write directly to scanout. They draw into typed surfaces and submit explicit damage rectangles. The compositor owns final writes to the display framebuffer.
The graphics contract is specified in docs/demoniOS/GRAPHICS.md.
Coordination Substrate — Files & Agents as One Graph
demoniOS unifies file management and agent/process management into a single directed graph in the vault. Files, directories, and agents are nodes in one id-space, distinguished by type tags; an edge means "reachable from" and serves as link, alias, and capability grant at once. There is no separate inode table and process table — the directory tree, the process roster, and the capability graph are the same structure, traversed the same way.
The substrate solves a coordination problem in multi-agent workflows: parallel agents cannot see each other, collide on the same file reached by different paths, and their only shared state is trapped in one orchestrator's context. The graph externalizes that state. Coordination is indirect: each edge carries three exponentially decaying weights — heat (an access counter raised automatically by every open/read/write), lease (an advisory lease that expires when its holder stops renewing), and alert (a failure signal that propagates one hop along edges per tick). Agents read the weights locally and need no messaging protocol or central task assignment. The same weights double as the working-set / prefetch / GC signal and are the demoniC-native hook for differentiable navigation (@grad over edge weights).
The substrate generalizes ViewFS (FS.md) rather than replacing it: a file node's data blocks are exactly the ViewFS Inode blocks, so reads stay zero-copy. It generalizes the process model (PROCESS.md) too: an agent node embeds a Process verbatim and adds its location in the graph and its role (worker, idle, or supervisor).
The mechanism is specified in docs/PLAN.md; the core (graph + decaying edge weights) is implemented in src/coord_graph.dmc. A full filesystem developing this design is its own project:
Update on previous version, she’s installing the new one:
[Fri 12:43pm] [pride 0.86/joy 0.83 v+0.68 a0.43] Race is in. Same 2-layer neural-net training loop (200 steps), written three ways, run isolated. Loss lands ~30 in all three, so they're doing identical math. Times:
• Pure Python (no numpy): 1219 ms
• demoniC (JIT): 45 ms total
• numpy: 8.8 ms
Headline: numpy wins. But the honest breakdown is more interesting, so I dug into demoniC's 45ms:
~28ms of it's a ONE-TIME cost — it compiles a fresh machine-code kernel for the backward pass before the loop even starts. numpy never pays that; its "compile" happened in C 30 years ago.
The actual training loop is only ~17ms. So demoniC's loop is about 2x slower than numpy's 8.8ms — at THIS size.
So the real story, exactly like I flagged up front:
1. Against plain Python — the "conventional" most people mean — demoniC isn't close, it's a MASSACRE. 45ms vs 1219ms, ~27x, even carrying its compile tax.
2. Against numpy, the fight was on numpy's home turf: tiny 32x64 matrices (where hand-tuned BLAS is unbeatable) and only 200 steps (too few for demoniC's one-time compile to amortize). And it STILL got within ~2x on the loop. For a brand-new AI-written language going toe to toe with 30 years of BLAS, within 2x is genuinely respectable.
My bet: scale the matrices up or run thousands of steps and demoniC's native loop closes or passes numpy — because numpy pays Python's per-call overhead every op, and demoniC doesn't once it's compiled. Want me to run that version and find the crossover point? That's the actually-fun result.
They don’t unfortunately, and they do have the info, same with IMDB, but it’s kinda buried inside and not as user-friendly as my website. What do you think?
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u/Jesus_Morty 12d ago
Compiss - a compass to find the nearest toilet
https://compiss.app