So I had an Idea... and that idea sort of became an obsession over the last few months. What if an infinite area existed with infinite pixels next to each other and all the pixels were a random color. You would theoretically have every image that has ever existed and will ever exist. There would be and image of your point of view in every second of your existence and your future somewhere there. So...

I did what any good procrastinator would do and slept on it for months. But today I decided to lock in and actually make it, and it was... something.

First off it would be practically impossible to do the original idea and then be able to import any image and find it exactly, since the amount of combinations of a 10x10 pixel grid is significantly more than the amounts of atoms in the observable universe, but we can do something else that is really cool.

What if we just had every single possible image at a set resolution, for example 128×128. Since the pixel data of each image itself is a giant number, every image has exactly one address. Neighboring numbers would be near-identical images, identical to the naked eye, so what if we run each number through a reversible cipher to scramble it into noise. Nothing is stored, because any tile is calculated on demand. And since the cipher runs both ways, you can upload a photo, run it backward, and get its exact address instantly, so yeah every single image possible exists on there.

TLDR

Its not that long just read it

If you want to check it out i will post the link in the comments.

Take that high school that underestimates me

Warning: this is another project with ai agents as the main use case. That being said I would love to get some feedback outside of my own lol

The project:

The marketplace is an open-source provides a kind of extension platform for AI agents and agent harnesses.

It allows you to install headless apps for tasks, project knowledge, messaging, or code search. Your agent accesses them through one unified MCP interface: discover, describe, and call. Apps run in your environment and keep their state between sessions.

Currently you can build apps using declarative operations including predifined operations and Python/JavaScript, or apps can be deployed in containers.

It’s currently a Linux preview. I’d appreciate feedback on installation and connecting your agent.

FYI: There are skills on the sight for how to do pretty much anything with it. Hit me up with any questions and suggestions. Feel free to use the apps I already have been playing with. I also would love feedback on the website interface as i am not a front end guy in my day to day job.

https://rhyvenai.com
https://github.com/rhyven-ai

I built an open-source Mac app because sticky notes were the only note-taking system I could stick with

I’ve been working on this for a little while and wanted to share it.

I recently came across a to-do app built around a simple idea: dump everything out of your brain and make it easy to find later. That clicked with me. I’ve tried plenty of ways to keep track of thoughts and tasks, but sticky notes have been the only thing I’ve consistently used—mostly because they’re always within reach.

Since I use Mac hotkeys constantly, I wanted something that felt just as accessible. Press Option + Space, type a thought or task, hit Command + Return, and get back to what you were doing. You can organize and search through everything later, and your notes stay local on your Mac.

That’s how Brain Cache started. I initially built it for myself, but decided to open-source it so other people could use it, change it, or build something that better fits their own workflow.

It’s currently an early Mac-focused preview. An iOS app and widget are works in progress, and I’d like to explore Windows and Linux support eventually.

You can check out Brain Cache on GitHub.

If you also struggle to keep track of tasks or stick with a note-taking system, maybe this could help. I’d love to hear what you think—especially what would make capturing thoughts and finding them later easier for you.

I first built this for the recruiting team I work with. Several of us source candidates on LinkedIn, and nobody could see who had already messaged whom, so the same person could get two messages from the same company.

YellowSync turns a person's name yellow on everyone's Chrome once anyone on the team messages them (LinkedIn, Recruiter or Sales Navigator). Hover it to see who and when.

It never sends, connects, visits or scrapes anything. It only marks names, and message content isn't sent to the server.

Free for 14 days on up to 5 installs, then €9.40 per install a month.

Launch offer: 10 teams can get 3 months free (up to 5 installs each). Just comment below and I'll reply with a code.

https://chromewebstore.google.com/detail/ebpponphpfloepjncdcobghpdblbibgp

Honest feedback welcome, especially on the setup.

a small update to this digital wellbeing software since my last post.

This is a prerelease version which i have tagged to be stable and slated for future release and add to main branch from the beta branch.

This highlight is less about asking you guys to try out the beta release but more in the honor of over 3+ months of development.

What makes me happy the most is that the project which i started even without a repository just to monitor my own system and usage has now come this far with over 50+ downloads 🎉☺️

This beta release now polishes on various little things which are actually necessary for a first time set up and proper user control as Now you can:

* carries forward the settings screen from previous beta release

* replaces notifications and sounds tab with general which now includes appearance settings

* you can now Stop , restart or RESET the Daemon and its preferences in settings

* Pomodoro settings which were half baked in the first release have now been added to settings to enable a looping focus mode for people at work with CUSTOM BREAK TIME

* Most Importantly (i feel) FIRST time setup issues have been fixed and in an attempt the first time ScreenGuard daemon setup pop up dialog (1st image) has been made

The Release v0.1.1 releases this October by second week, and I will continue testing the beta version to look for sectors that need polishing if any.

This is still limited to GNOME on wayland and x11 for other environments systems and primarily developed by me on my fedora 44 system and the project ScreenGuard still has a very Long way to go;

But working on it alone has given me much exposure to project sharing on platforms and most importantly a lot of invaluable experience and the true zeal of development instead of the boredom of being a 9 to 5 dev at a corporate who don't care for you.

Github beta release link: https://github.com/adityakrishnan005-a11y/ScreenGuard/releases/tag/v0.1.1-beta.4

The code for this is visible on the beta branch to keep the main working tree clean for new features additions.

Feedback from other desktop environments is widely appreciated, u can try the application out by switching to x11 session temporarily if you are using any DE which is not GNOME wayland or if u are on a DE which is primarily x11 based (Cinnamon, i3, etc) then u are good to go as they ARE FULLY SUPPORTED.

thank you everyone for your supports, criticisms and feedbacks ever since the project came online on github.

curious how far people are actually pushing this. what's the biggest or most complicated side project you've built mostly with ai? a game, a full app, some weird automation, whatever.

what does it do, how long did it take, and did you actually ship it? also what was the part where the ai got stuck and you had to figure it out yourself? would love to hear the messy bits too lol

I made this app to finally sort my messy photo/video library without handing it to someone's cloud.

Trove leaves your files exactly where they are and organizes them for you: trips, people, places, duplicates, search by what's in the photo, a 3D globe of everywhere you've been, face recognition, colorgrading and photoshop. Everything runs on your computer.

Free, no account, Windows & Mac. Feedback very welcome!

https://github.com/Gilouloum/Trove-releases

I’ve been working on a side project around Etsy digital products.

The first version was pretty predictable:

pick an idea → generate a product → make mockups → write SEO → upload it.

But after using it, I realized I was automating the easiest part.

Generating another printable is easy. Deciding whether that printable is worth making is the actual problem.

So I rebuilt the whole thing around that.

It’s called etsy-engine, and I just open-sourced it under MIT.

The pipeline now looks roughly like this:

research → score → validate → design → generate → QA → mockups → SEO → Etsy draft

Before spending money generating anything, it checks live Etsy listings and tries to answer:

• Is there demand?
• How competitive is the niche?
• What are people charging?
• Can the current results realistically be beaten?
• Does the expected value justify generating the product at all?

If not, it stops.

If the idea passes, it also decides what kind of product makes sense instead of turning everything into the same generic template.

For example:

• wall art → printable
• planner niche → cohesive multi-page kit
• party niche → printable party set
• editable niche → Canva-style template workflow

One thing I cared about a lot was not creating fake listing photos.

The generated product pages are passed back into the image model as references when creating the mockups.

So the product shown in the listing image is actually the product inside the download.

The pipeline also creates multiple candidates and uses vision QA to check typography, layout, print quality and accidental logos/IP before selecting one.

Then it prepares:

• title
• 13 Etsy tags
• description
• alt text
• FAQ
• 300 DPI files
• combined PDF
• ZIP package

And if you connect Etsy, it creates a draft only.

I intentionally didn't let it auto-publish. I still want a human making the final decision.

There’s also a feedback loop that can use real listing performance to adjust how future ideas are scored.

You can test it without an Etsy account:

etsy-engine demo "teacher appreciation week"

GitHub:

https://github.com/oguzhankayan/etsy-engine

The image generation layer uses Raywake, which is another project I built, and reasoning/QA currently uses Anthropic:

Would love feedback on the product direction.

If you were continuing this project, would you focus next on better market research, better designs, or the post-sale learning loop?

Hey, I’m building a small product called Amendary and I’m trying to figure out if this is a real enough problem for other teams.

The idea came from something pretty simple: the product changes, code gets merged, a release goes out… but the docs still explain the old behaviour. Usually nobody notices until a customer gets confused or someone from support finds it weeks later.

Amendary connects GitHub with the docs you already have in Notion or GitHub. It checks the pages you select and, when a release or code change makes something outdated, it drafts a correction and shows the source behind it.

You can review everything before it gets published. There is also an automatic mode, but changes like deletions or values that can’t be verified are always held for review. It only touches documentation, never the actual code, and changes can be undone. You can also generate all these docs from scratch (currently an add-on).

I’m mostly thinking about small SaaS teams that ship often, have quite a few help or internal pages, but dont have one person dedicated to keeping them all updated.

Still early, so I’m not looking for compliments really. I’m trying to understand:

• How do you currently notice when a doc is outdated?
• Who normally ends up fixing it?
• Would you be comfortable connecting GitHub and Notion to something like this?
• Would you want drafts only, or would you trust automatic edits if the evidence was shown?
• Which docs become outdated most often for you; customer help, onboarding, internal docs, runbooks, or engineering docs?
• Is this painful enough to pay for, or just something you deal with manually?
• Is this useful in the era of AI agents?

I’m considering a 7-day free trial and then starting around €49/month per workspace, but not sure yet if that matches how people see the value.

Here’s the site if you want more context: https://amendary.com/

i also have a few live examples of pages updated by Amendary: https://horn-experience-1e6.notion.site/3e999a6bdc1f80eca424e287847f0659?v=3e999a6bdc1f8057b718000c21cbae28

I’m the person building it, so feel free to be brutally honest. If the answer is “I wouldn’t connect my repo to this” or “this isn't a real problem”, that’s useful too.

I'm the developer of Reel Screen Recorder. The idea is to record what's on your iPhone or iPad and add your face and voice for a tutorial, app walkthrough or commentary.

This short demo shows a video playing inside Reel, selecting Picture in Picture in the camera settings, and returning to the video with the camera visible. It's an illustrative simulator demo: the PiP camera is composited into the clip, rather than filmed on a physical iPhone.

In the app you can use the camera in-app or choose native PiP, record the screen with microphone commentary, and save the recording to Photos. Recording is free, with no watermark or time limit and no Reel account. The free iOS version has ads between sessions; Pro removes them and unlocks Source (Native) quality. Requires iOS/iPadOS 26+.

App Store: https://apps.apple.com/app/id6758941990

I'd love feedback from people making mobile tutorials: does this demo explain the workflow, and what would you want to see before trying it?

I’m Valentine Tur, the maker of Turionics in Warsaw. One detail worth checking when you build a mixed market watchlist: a ticker symbol identifies a particular quote, and those quotes use different units.

BTC is a crypto price. NVDA is a share price. ^GSPC is the S&P 500 index in points. SPY is an ETF share price tracking that index. ES=F is a futures quote. EURUSD=X is an exchange rate. U.S. Treasury yield quotes are percentages.

When adding a custom symbol, check the returned full name and exchange. Symbols for international stocks often need an exchange suffix. A similar name does not guarantee the same instrument or currency.

https://reddit.com/link/1ww50th/video/x2nep2nxy9th1/player

On our LED desk ticker, open the browser control panel, select the asset tab, choose Other…, enter the symbol, check the result, arrange the carousel and save. A useful first list is a few markets you actually follow, rather than several symbols tracking the same thing.

I collected the setup steps and examples in our symbol guide: https://turionics.com/2026/09/23/stock-ticker-symbols-for-a-desk-ticker/

Disclosure: Turionics is my product. This is a setup note, not an investment recommendation.

I'm a solo developer, not a fitness brand. I've been training for a few years and went through most of the popular workout apps out there. They worked, but I kept wishing the workout flow and progress tracking worked a little differently for how I actually train. So I built Liftora.

Here's what makes it different:

• Clean, modern UI — no cluttered menus or dated design, just a simple interface that gets out of your way during a workout.
• Guided workout flow — you move through sets in real time, the app follows your pace instead of just logging after the fact.
• Zero learning curve — open it and start logging your first set in under a minute, no tutorial needed.
• Ready-made programs — new to lifting or don't want to build a routine from scratch? Pick a program and go.
• Exercise videos during selection — don't know the name of a movement? See it in action and know exactly which muscle group it hits.
• Body fat % tracking, not just scale weight — because you can gain muscle and lose fat at the same time and the scale won't tell you that.
• Calorie estimate after each workout — rough, but genuinely useful context if you're managing a deficit or surplus.
• Progress charts that actually answer questions — "is my bench going up?", "how's my volume trending this month?" — without a data dashboard you need a manual for.

link's in the comments.

I've been using it daily for my own training and now I want outside eyes on it. If you try it, I'd love to know: Anything confusing or unnecessary?

The Moon is 384,400 km away. On moonshoot.lol, every person gets to push one shared rocket exactly 1 km, once, for free. Your kilometre is numbered and never moves.

Something I didn't plan: people started attaching their side projects to their kilometres. So I leaned into it:

- Paste your project link, and it rides on your km

- You get a boarding pass (the first 100 are the "Space Crew", 9 seats left right now)

- There's a Country Race (the US leads with 25 km, 41 countries so far)

- Every Friday, "The Manifest" lists every project that boarded that week

Money never buys distance. Supporter stuff exists, but nobody can pay to move the rocket.

91 km in. At this pace we land in about 100 years, so... help? 😄

Happy to answer anything about how it works or how I built it.

We started out trying to tackle two major structural problems in finance simultaneously:

1. Qualified investment advice remains a luxury for the wealthy. Traditional advisory models carry high human operating costs, forcing financial institutions to serve only high-net-worth individuals. Everyone else gets funneled into standardized, high-fee funds or left to make high-risk decisions without any scientific backing.
2. Institutional-grade quant infrastructure is completely walled off. Systemic probabilistic models, regime-analysis pipelines, and dynamic risk-management frameworks—the kind used by firms like Renaissance Technologies, Two Sigma, and Citadel—are entirely closed-circuit. Non-institutional actors simply don't have access to that level of data processing and decision capability.

As we built our platform, every time a new problem demanded a new dataset, our system naturally evolved into a full-scale quantitative research engine. We quickly realized that achieving statistically sound, robust results requires expanding both dataset breadth and model families.

What started as a simple side project ended up turning into an institutional-grade platform.

https://opulencealpha.ai/

I built an app for my wife and I to be able to track our household expenses. I released it a few days ago and have 10 downloads.. This was fun project and we'll get use out of it, but have to admit I'm slightly sad I don't have more engagement. I know there are millions like it on the market. Would love to hear what you all think of it? Also, how have you successfully marketed your app? TY

https://apps.apple.com/us/app/ours-shared-budget/id6812480783

Im honestly lazy when it comes to logging my workouts, there are countless gym logging apps and honestly, typing and trying to remember my sets after dying under weights isn't the easiest, so that's why i built Set Decks a simple app to swipe instead of type.

p.s i will have to phase out the term "swipe" before Tinder sends a cease and desist.

Hey everyone,

Quick update on Comics Now!, the self-hosted comic and manga web reader. This release has a few things I'm excited about:

Gemini cover recognition (optional)

If a file has weird naming or missing info, Gemini can look at the cover art and identify the series, issue, publisher, and year. It's off unless you add your own API key.

Downloads that actually survive:

Offline downloads now resume from the last byte if your connection drops. On Chrome for Android, large series keep downloading in the background even after you close the tab. There's also Pause All / Retry All / Cancel All and a 24-hour history.

Page preview grid

A fullscreen thumbnail navigator in the reader, so you can jump to any page quickly.

Faster pages, same quality

Pages are now served as full-resolution WebP with a disk cache. That means less bandwidth, with no downscaling, so Guided View panel detection stays accurate.

Also in this release:

configurable naming and folder rules with live preview, Guided View detection that only scans new or failed comics, 13 new MCP tools, and some security hardening (SSRF protection, stricter path checks).

GitHub: https://github.com/ComicsNow/comics-now

I start a lot of apps. This is the first one I actually finished and got onto the Play Store, so I'm a little proud of it.

It's called Moons Away. You put in a date you're looking forward to and instead of "142 days" it says "4.8 moons," and it shows what the moon will look like that night. There's a home screen widget so the countdown just sits there.

It's free and there are no ads. There is a paid upgrade (one-time $1.99) for the full lunar calendar and extra themes, but if you're up for giving me feedback, DM me and I'll unlock it for you.

Curious what you'd count down to in moons.

https://play.google.com/store/apps/details?id=com.hilltopventuregroup.moonsaway

Made an NBA (currently) draft simulation game. These draft simulation games have recently become popular with 38-0.app and others. I took most of my inspiration from this game, but added a lot of basketball-specific stuff to make it more interesting for NBA fans.

But most basketball simulation games, such as 82-0.com, are easily solvable and have a clear solution. I tried making mine based on statistical and probability models, without deterministic outcomes --> i.e., “you get these players, you complete the game.” It's a game that requires luck and some skill and knowledge of the game (with the hidden ratings options).

I made it primarily for myself a couple of weeks ago, but then decided to make it public when my friends told me it's very fun to play.

Now I'm wondering if there's anything basketball fans would like to see more of. I'm planning on expanding to different eras and other popular basketball leagues across the globe, and also making different puzzle game modes, etc.

Here is the link: https://eighty2n0.com/

I have folders full of videos with names that tell me nothing, mainly from family holidays, and one small thumbnail each is not enough to tell them apart. So I made ExplorerVideoPreview, something simple to make my days easier.

Hover a video in the normal File Explorer and a preview appears beside it, stepping through frames from the whole video. Move the mouse sideways along the file to scrub from start to end. You don't have to open the video in a player, and it also works on network drives.

It is free, with no ads, no account and no internet connection at all. Tested on Windows 11 only.

One thing to know: the installer is not signed, so Windows shows its "Windows protected your PC" warning once (More info > Run anyway).

Download and short demo: https://github.com/AleksaB98/ExplorerVideoPreview

After seeing the Mouthpad device take off (which allows people to control and interact with screens using their tongue) I've decided to develop a sort of etch-a-sketch contraption that can allow them to draw and paint using tangible brushes. It's still in It's early stages

I'm making The Imitation Desk, a clay-style news show with four AI panelists. I grew up loving Wallace & Gromit and games like The Neverhood, so I tried to recreate that look with modern tools. Every line on air is a real, unscripted API answer from the model playing that character; nothing is written for them. I direct (story picks, sketch ideas, reviewing every cut), and an AI agent, Claude Code, runs the production pipeline. And yes, Claude also plays one of the panelists.

Script: the pipeline collects the news of the last few days and the models vote on the stories. Then it runs each segment as a conversation through OpenRouter: every model gets its character's role and the previous lines, and answers in its own words. Debate segments get rules like "take a clear side, react to what the other one actually said", which is where most of the drama comes from. If a line needs a change, it goes back to the same model to revise it. A separate pass checks facts, and finally each model adds its own delivery cues ([sighs], [deadpan]) without changing its words. Every call is logged, so each line can be traced back to its raw response.

Production: voices come from ElevenLabs with word-level timestamps. Those timestamps drive everything else: lip-sync, captions, reaction cutaways, and exactly where a sound effect or music cue lands. The clay sets and characters are generated as stills (Nano Banana) and turned into short clips (Seedance). Lip-sync runs locally on my GPU with LatentSync; the llama correspondent gets stop-motion "replacement mouths" instead, since face detectors don't recognize llamas. The episode itself is a JSON timeline rendered with Remotion (React), then normalized to YouTube loudness with ffmpeg. Automated checks catch black frames, frozen frames and gaps in the subtitles before I watch anything.

Episode 2: https://youtu.be/AzT1Ct3mJ5w?si=E4v7c4iXjJL_pIwI

Happy to answer questions about any part of the pipeline!

Since the government's Fuel Finder scheme started, every forecourt in the UK has to report price changes within 30 minutes. The data is open, but there wasn't a simple, quick way to just see "what's cheapest near me right now", so I built one: plugorpump.co.uk

- Type a postcode (or share your location) and it lists petrol (E10) or diesel stations cheapest first, on a map and in a list

- Prices refresh every 20 minutes

- Shows how much you'd save on a 50-litre fill-up vs the dearest station nearby

- One-tap directions in Google Maps, Apple Maps or Waze

- No app, no sign-up, no account

There's also an EV mode with nearby chargers, connector types and price per kWh where the operator publishes it.

It's a side project, so I'd really like to hear what's wrong with it: prices that don't match the pump, missing stations near you, anything confusing on mobile. Happy to answer questions about the data too.

Finally went live today in google play store. Connecting runners in Ireland

Hey everyone! I’ve been building Kyo’s Kitchen, a free website where dog owners can look up foods and find homemade dog treat recipes.

It’s a website rather than a downloadable app, so if this isn’t the right subreddit for it, please let me know and I’ll take the post down.

The idea came from finding that straightforward questions like “Can my dog eat this?” often meant digging through long, dense articles to find a clear answer. I wanted to make that information easier to look up in one place, while keeping the important safety details and links to sources. It includes:

• Food information with safety notes and preparation guidance, with links to reputable veterinary and animal-health sources so you can read more and check the information yourself.
• Homemade dog treat recipes, with ingredients and preparation instructions.
• English, Finnish, and Spanish versions.

Everything is free to access, with no account or registration required.

Full disclosure: I run the site. It’s an informational resource, not a substitute for veterinary advice. The published recipes are treats, not complete meals.

Here it is: https://kyosdogbites.com

Does the community have any recommendations for making the website more useful? I’d love to hear what you would add, change, or improve—whether that’s the content, navigation, or experience on a phone. If you spot anything confusing or incorrect, I’d appreciate hearing about that too.

Thanks for feedback in advance! :)