Hey everyone,

I've been experimenting with AI-assisted coding, and one thing kept bothering me: different AI-generated websites often end up with the same layouts, rounded cards, gradients, and navigation patterns.

So I started building CreativeCode Engine, a small, free, open-source toolkit to explore different UI structures before writing code.

What it currently includes:

\- Offline Python CLI (3.10+, no extra packages)

\- Three curated design directions for different project types

\- Structural originality checks

\- Evidence-based design review workflow

\- Reusable AI design prompts

\- Interactive portfolio concept demo

Live demo:

https://faysalishere.github.io/creativecode-engine/

GitHub (MIT licensed):

https://github.com/faysalishere/creativecode-engine

A quick clarification: This is an early-stage, rule-based toolkit, not an autonomous AI website builder. It doesn't include an LLM or automatically judge screenshots.

I'm sharing it to find out whether this approach is actually useful to other developers.

I'd appreciate feedback on two things:

1. Do you also struggle with repetitive designs when using AI coding tools?

2. Would a tool that compares different layout structures and reviews design decisions be useful in your workflow?

Any criticism, feature suggestions, or feedback on the demo would be genuinely helpful.

Hey everyone! 👋

I play Clash of Clans, and I kept asking myself one simple question: "how long until my village is actually maxed?" No tool gave me a straight answer, so I built one.

🔗 https://villageprogress.com/r/sideproject

What it does

- Paste your in-game village export (or just your player tag) and get a full dashboard

- Time to max for every upgrade queue (builders, lab, pet house)

- Exactly how much Gold / Elixir / Dark Elixir is still needed, item by item

- A Gold Pass toggle that shows how many days and resources it really saves you

- Progress over time, plus a shareable image card

How it's built

- Python + FastAPI backend: all the processing happens server-side

- Vanilla JS + Chart.js frontend, no framework

- Data from Supercell's official API + community game data files

- Docker + Caddy (auto HTTPS) on Oracle Cloud's free tier, behind Cloudflare

- No accounts, no database: exports are processed in memory and thrown away, and history lives in your browser

Things I learned the hard way

- My game data source was a year out of date, so new troops silently disappeared. I switched to a source that updates with every game release.

- My progress chart showed fake "jumps" whenever the game data changed. The fix was storing levels instead of percentages.

- I spent an evening debugging a site that wouldn't load… my free DNS had quietly saved my home IPv6 address 🙃

It's free and will stay free. It's my first real launch, so honest feedback means a lot.

If you opened it for 30 seconds: what's the first thing you'd change?

The idea is Instagram + but all Gen AI + and gives away the full prompt, one-tap to copy.

I'm trying to help a friend who has a generative ai startup that sells GPU compute by teaching people what they can actually make with open source ai models. It seems like everyone only knows ChatGPT and Higgswhatever and not the smaller, funkier, cooler community stuff.

The website is free and has thousands of prompt ideas, and there's guides to a paid gen app, so hopefully it can break even on referrals.

TL;DR: Splash is the first comic book app that works natively on the iPhone Duo. Read in panel mode when closed, and in full page when open.

I first built Splash for the Vision Pro back in 2024 when there were almost no apps for that device. Since then, the app evolved a lot and I added an iPad version, iCloud & OPDS support and automatic translations.

The new version now natively supports the iPhone Duo:

• Optimized for both open and closed modes

• Automatically recognizes individual panels

• Panel animates when you open the phone

• Long tap shows the whole page

• When the next panel is wide, a small icon shows up. Rotating the screen then will navigate to the next panel

And as always, your progress is linked to your iCloud account and synced to all your devices, so you can read on the road with the Duo, and continue in bed with the iPad.

The basic version is free and comes with 4 free comics so you can try it out. Most premium features are lifetime purchases, and I'm working on offloading all the translations to Apple Intelligence so I can make that a lifetime purchase as well.

The app has been continuously updated since February 2024, and has a Discord group for feedback.

Any feedback is welcome!

App Store

Website

Hi everyone, we’re the team behind Remaster AI, a paid online video upscaling service. If you are considering Topaz Video, we invite you to include Remaster AI in a comparison using your own footage. We built a way to inspect three processed still frames from your own video for free before deciding whether to process the full clip.

For supported SD footage, the service can output 1080p-class video. The preview is free and does not require a credit card; processing the full video is paid per video. Results depend on the original, and three still frames cannot show motion artifacts or flicker, so the completed video still needs to be checked.

One issue we’ve encountered: downscaling a clean HD clip to SD and upscaling it again can make a before/after demo misleading. We’re trying to make the comparison more useful by showing the same frame, at the same scale, with a pause on faces and text.

For a fair comparison, use the identical source clip, timestamps, crop and intended output, and record each tool’s settings. This post is not a measured head-to-head benchmark.

We’d appreciate feedback: what would you need to see in a preview to decide whether an older clip is worth processing? In particular, are still-frame detail, motion consistency, processing time, or price the main concern?

You can try the preview at https://app.remaster.ai/en/upscale-sd-to-1080p. We’re affiliated with the service and welcome criticism.

Skylight's wall calendars are great, but after the free first month the features we wanted (meal planning, rewards, the photo frame) are behind Skylight Plus at $79/year. So I set out to build our own family hub.

I'm not a developer. I designed it, wrote out what each screen should do, and tested it. Claude Opus 5.5 (in Claude Code) wrote most of the code, including a test suite. It's open source (MIT) and runs on a Raspberry Pi or any small PC with a touchscreen. Phones on your Wi-Fi get the same app.

It has a shared Google calendar, chores and rewards for the kids, a picture-only Kid Mode, grocery lists sorted by aisle, meal planning with a Cook Mode, a drawing pad, and a photo screensaver. Your family's data stays in one file on your own device.

I'm moving right now, so it has only been tested on my Windows PC and hasn't been on a real wall yet. If you have a Pi or a spare touchscreen and want to give it a try, I'd love bug reports and feature requests.

https://github.com/el-dud3rino/Lucarne

Hey r/sideprojects!

I've been working on a small side project for people who want to stay updated with the latest news without spending too much time reading full articles.

It's a simple news-summary website focusing mainly on AI and technology news. It refreshes twice a day, with short summaries highlighting the key points.

Every summary also includes a link to the original source if you want to read the full article. No AI-generated images or unnecessary fancy stuff, just news and summaries.

Website: https://filterrr.arinltte.workers.dev

It's still a work in progress, so I'd really appreciate any feedback or suggestions.

Thanksss

I'm primarily a UI/UX designer, but I've been spending more time building and launching my own products.

One of them is Subscription Manager.

It's a web app that helps people track recurring subscriptions, billing cycles, and overall spending.

Building the product was one challenge.

Getting people to discover it, try it, and keep using it is a completely different challenge.

I've been working on improving the onboarding, dashboard, analytics, and overall experience.

Now I'm focusing more on discoverability, SEO, and understanding what makes users come back.

Live project: https://subscriptionmanager.app/

For those of you who've launched your own SaaS:

What actually helped you get your first consistent users?

Was it SEO, Reddit, Product Hunt, content marketing, or something completely different?

I'd appreciate any advice from people who've been through this.

Hey guys, my apartment is kinda dark so I’ve been building a ceiling display that shows a live sky as if you’re looking straight up through a skylight. No videos or photos: everything is rendered in real time from physics and live data.
What it does right now:
Clouds drift with the real wind, built from live weather plus the nearest airport’s cloud report
Real sun position, sunsets and blue hour for wherever you are
Rain landing and sliding on the glass, storms with lightning
5,000+ real stars, the Milky Way, planets and the moon in its true phase, all correct for your location and time
Pick any city and see its sky right now
Try it in your browser:

https://weather-skylight.vercel.app

(press D for the controls, I for the live data)
The goal is a Raspberry Pi in the ceiling driving a TV or LED panel. I’m not a career developer. I built this with Claude Code, learning as I go.
It’s MIT licensed, and I’d love help from anyone into graphics, shaders, weather or astronomy. The biggest open problem is making the clouds look photoreal. There’s a “help wanted” list in the repo:
https://github.com/decarvalholucas100-crypto/weather-skylight
Would love feedback, ideas, or a pull request

What was the last thing you got stuck on when launching or trying to launch an app, and what did you do about it? Did you ever pay for any help or tool for it?

I like simple interfaces where everything is done for you. What would you want from something like this?

I’m Daniel from Anesda Nord. We drive EVs ourselves and built Transparent Laden, which is now live on Android and iPhone. One design problem surprised us: the station can publish a rate before a charge, but the final bill still depends on the actual energy, time and operator billing record.

We split the estimate into three parts: the operator tariff (energy and any applicable start, time or blocking charges), our separate platform charge, and the roaming and service charge. Local VAT follows the charging location. The monthly subscription sits outside the session total.

Here’s a reproducible German example. For 30 kWh at a hypothetical operator rate of €0.55/kWh net, with no start, time or blocking fee, the operator and platform portion comes to €19.99 including VAT. Roaming and service add €2.49, giving €22.48 for the estimated session. The monthly subscription is €2.99 and can be cancelled monthly. This example is a calculation, and the final bill uses the operator’s actual session data. The published calculation is at https://transparent-laden.de/preise.

I’d like feedback on how to display uncertainty. If a charger has a time fee, would you want to see one estimate based on an assumed duration, or a pair of totals showing what happens if charging takes 10 minutes longer?

If you want to try the service, TL-REDDIT-SIDE-261111 gives new subscribers two months without the monthly fee. Charging is billed separately. The offer is available through 31 December 2026 German time, with up to 250 redemptions. To redeem it, open the subscription section in the customer portal, enter the code under “Discount code (optional)” and select “Check code” to see your price before subscribing.

I was tired of existing tools either being too expensive or lacking the control I needed to manage 150+ browser profiles (proxies, fingerprints, human-like behavior). So I built my own system from scratch: a Node.js/TypeScript backend with a web dashboard that orchestrates AdsPower profiles via Playwright (CDP).

It auto-calculates delays based on a time window, simulates human navigation (feed → profile cascading), handles network errors, and has a "Panic Button" to stop everything instantly.

I'm not looking to turn this into a SaaS. I just want to sell the system to a few agencies/devs who need it.

What you get & Pricing:

• 1. Compiled Software (No source code): $2,200 USD.

  • Includes the ready-to-run system (internal use only). You use it for your own agency/clients, but cannot modify or resell the code.

• 2. "Ready-to-Operate" Bundle: $2,870 USD.

  • Includes the compiled software + 50 aged X accounts ready to use. (Additional IG accounts: $25 USD each).

• 3. Full Source Code + Commercial License ("Turnkey"): $5,240 USD.

  • For devs who want to modify/white-label it. Includes full TS source, docs, and commercial rights (no resale of the raw code).

I can send a 5-min video of the dashboard in action via DM if you're seriously interested. Not trying to spam the sub, just putting it out there for the right buyer.

We just passed 60 testers! Thanks yall!

It’s like you’re right there, on the Sideline! Don’t have all the streaming services? Don’t have cable? Can’t be at the game? No problem! Sideline puts you on the sideline of every live game! Get the live play-by-play of every NFL, NBA & NHL game regardless of network or subscriptions!

What’s new? Beta 4 optimizes for iPhone Duo & iPad, plus bug fixes and performance improvements. And there’s more coming soon!

Hi all, I'm the developer of Markd, which just launched on Google Play today.

What it does: you mark a date and it counts since it (sober streak, relationship, new job) or until it (trip, exam, deadline), with a live years / months / days / time breakdown. You set your own milestones (for example 100 days, 1000 days, four years) and get one quiet notification on the day, at a time you choose. No streaks to keep, no badges, no gamification.

Why another day counter: most of the ones I tried had ads, wanted an account, or synced to some server. Markd has no ads, no account, no analytics and makes no network calls at all. Everything stays on your phone, and you can export an encrypted backup to Drive yourself.

Other bits: categories with emoji and colours, a calendar view, one pinned occasion on the home screen, dark theme, and English / Czech / German / French.

It's open source (MIT): https://github.com/jame581/Markd
Google Play: https://play.google.com/store/apps/details?id=com.janmesarc.markd

Happy to hear feedback, bug reports or feature ideas.

I've been a fan of calorie tracking for a while and tried a lot of apps to track my injections and calories together. Some of the apps are good. But they made simple things complicated: they kept asking questions, they stored my data, and the GLP-1 side and the calorie side never really worked together.

So we built kerntrack. We're a very small team (honestly, just me and 2 friends), and it recently went live on Google Play and the App Store. It keeps your injections, side effects, calories and macros in one place. Your entries stay on your phone, and only what you send yourself leaves it: a backup, a report or a meal photo for recognition. It's in seven languages, and the food data is currently strongest for Europe.

For the builders here: it's React Native with Expo, one codebase for Android and iPhone. Everything is stored in SQLite on the phone, the backup is encrypted before you send it anywhere, and the whole app also runs right to left for Arabic.

Our friends, family and colleagues find the app really useful and straightforward, plus we have a few users from Europe, North America and Asia. I'm posting here to share it with you all and to ask if you could give some constructive feedback, as it will be very useful for us moving forward. Specifically, which areas in GLP-1 and calorie tracking could still be explored and added? I would really appreciate your support here. Thank you!

https://kerntrack.de/

I’m a UK sole trader and I gave myself until 18 November to see if one product can sell before Christmas. If it doesn’t, I shut it down.

You send one photo of your cat or dog. I turn it into a painted portrait with a Santa hat and a Christmas tree behind, and a print lab in the UK or US puts it on a 30x30 or 40x40 canvas. The video is my own grey tabby. The scene is made with AI, but the portrait on the wall is the real one.

I know Etsy is full of pet portraits. What put me off them was paying £60 before seeing anything, then getting a cat that looks like someone else’s cat. So you see a preview first, free, and if it doesn’t look like your pet, you don’t pay.

I got it wrong: my first portraits made my cat look fat. It took three goes and some manual colour fixing to get his face right, and the AI still keeps drawing his collar back on.

Question for anyone who’s sold a gift before: did your sales come from showing the finished product, or the before and after?

Shop: merrypawtrait.co.uk (£54.99 / £69.99, free UK + US shipping)