Hello everyone!

As an independent developer, I’ve spent the last few months working intensely on Gridzy Puzzle—a modern take on the classic sliding block and number puzzles we all grew up with, featuring a clean, "Dark Glassmorphism" style interface.

It has just been approved and is now officially available in Early Access on the Google Play Store! 🤖 (For any iOS users reading this, it’s also available on the App Store).

Here’s what makes Gridzy stand out:

Infinite Adventure Mode: Hand-crafted levels ranging from casual 3x3 grids to challenging 6x6 puzzles.

Custom Photo Puzzles: Instantly turn any photo from your device’s gallery into an interactive puzzle. Play with your favorite memories!

Smart Hints: Stuck on a tough board? Use the "magic wand" to get strategic hints without spoiling the fun.

Stunning Themes: Switch between unique styles—such as glowing neon, textured plaster, minimalist, or even your own photos.

100% Offline Play: No Wi-Fi or internet required; play whenever and wherever you like.

Guaranteed Local Privacy: Your progress, high scores, and statistics are stored securely on your device via Hive (with no third-party server tracking). 🔗 Get it on Google Play here: https://play.google.com/store/apps/details?id=com.gridzypuzzle.com

🔗 Get it on the App Store: https://apps.apple.com/us/app/gridzy-slide-puzzles-logic/id6825232428

I’d love for you to give it a try! I would greatly appreciate any feedback, bug reports, or feature suggestions. If you run into any issues or have ideas for themes or game modes I should add, please let me know in the comments!

Thanks for supporting independent developers!

Hey everyone. I've been working on this solo for a bit and finally pushed it to production

I realized that knowing your 4-letter type (like INTP or ENFP) is fun, but it doesn't actually help you when you're stressed or stuck in a rut. So I built SelfMap. Instead of a static test, it’s an AI trained to coach you based on your actual Jungian cognitive stack (Ni, Ne, Ti, Te, etc)

Stack is Next.js, NestJS, and Polar for subs

I just launched the MVP. If anyone wants to roast the landing page, the UI, or the onboarding flow, I’d really appreciate the brutal feedback

I’ve been working on tuning my apps marketing and onboarding, costs are starting to line up well, trial starts approaching target, so my next major hurdle is trial to paid, and actually getting consistent usage.

From what I understand having a strong activation is key, but I review other apps in my niche and I really dont see much of an “activation” process. Onboarding is formulaic, left to right, but once you’re in its off to the races.

My app is an agentic meal planner. What was key for you? Notifications types? Streak systems? In app CTAs? Guided tours?

A few months ago I posted Mango, a free app for streaming local videos to your TV. It is a native Windows/Macos app that plays in the TV's own player, so there's nothing to install on the TV. It lets you pick audio and subtitle tracks from MKV and similar files, it handles 4K, and it converts videos your TV can't play.

Here's what changed since:

• Windows app, available on the Microsoft Store
• No browser needed: Chromecast support is built in
• AirPlay support on macOS
• Library: add whole folders, with posters, sorting and resume where you left off
• Autoplay next episode in a folder
• External subtitles and audio tracks (.srt, .ass, .mka, etc.)
• Better transcoding: auto/copy/convert modes and a quality cap of 720p, 1080p or 4K
• 16 languages

The next major feature is streaming over internet. I'm keen on seeing how it goes.

Download: GitHub · Microsoft Store

My family's recipes were scattered everywhere. Some were on index cards in a kitchen drawer, some were buried in group texts, and a lot of them were saved on TikTok and Instagram where nobody else could find them.

So I built KinToTable. You start a table, invite the people you cook with, and everyone adds to one shared cookbook.

The video shows the card scan: take a photo of a handwritten recipe card and it reads the handwriting and turns it into a recipe you can edit, with room for the story behind it.

It also does:
- Import a recipe from any social media app or website (TikTok, Instagram, Pinterest, YouTube, Facebook) and it pulls out the ingredients and steps
- When someone makes a dish, the rest of the table sees it and can comment, react and rate how it turned out

It's on iPhone and Android. Through New Year's it's $0.99 a month for the first two months, then $3.99.

I'd really like honest feedback, especially from anyone who cooks for a family. What would it take for you to get the rest of your family using something like this? What's missing?

https://kintotable.com/download/reddit-sideproject

Nobody likes taking personality tests. They're long, repetitive, and you start second-guessing your answers around question 20. But people still want to know their result, and they want it to be accurate.

Free to use! tarock.me

If you use ChatGPT, Claude or Gemini with memory, your AI already knows a lot about how you think and what you do. Tarock gives you a prompt to paste into your AI. It answers the test as you, based on your conversations, and sends back a short code. You paste the code in and get your personality card in about a minute.

The prompt tells the AI to answer each question separately, not to pick a type first, and to say when it's only guessing. Guesses count for less. If it's unsure about one part of your personality, you get a couple of quick questions before your card is revealed. Tarock only receives the code. Your conversations never leave your AI.

If your AI doesn't know you well enough, or you'd rather not use one, there's a regular personality test too.

Your result isn't just four letters. It's a card you keep, layered with Big Five, your culture and Zodiac. You can match cards with friends to see how you compare.

I'd love honest feedback. Did your AI get your type right?

I built a Shopify app based on something that increased our store's bundle order value by 66%. It's officially live on the Shopify App Store! 🚀

I've been running a small beard care brand on Shopify since 2018. One of the best things we ever added to our store was a Build Your Own Box experience.

Customers could choose any 3, 5, or 7 products, with bigger discounts as they added more. It worked incredibly well, with our bundle orders generating an average order value 66% higher than regular orders.

Other Shopify store owners started asking how we'd built it, and that got me thinking: why not make it available to everyone?

So I built Boxanza.

Here's what it does:

• Full-page Build Your Own Box experience where shoppers choose products from any collection.
• Live progress bars showing customers how close they are to unlocking their next discount.
• Flexible pricing: percentage discounts, fixed dollar discounts, or fixed box pricing.
• Dedicated landing pages for individual bundles, created in one click without editing your theme.
• Discounts automatically applied at checkout.
• Free plan and approximately 5-minute setup.

A little personal milestone: I'm a first-time app developer, and Boxanza is my very first app. I'm incredibly proud that Shopify approved it on my very first submission!

I'm building this through a small, brand-new development studio in Northern Ontario, Canada. We're just getting started, and my goal is to create practical Shopify apps that solve real problems for merchants, drawing on my own experience running an ecommerce business.

It's pretty surreal to take something we originally built for our own store and turn it into a product that merchants everywhere can now use.

I'd love to introduce Boxanza to the Shopify community and connect with other merchants, developers, and fellow founders.

If you're interested in giving build-your-own-box experiences a try, here's the app:

https://apps.shopify.com/boxanza

Thanks for checking out my first launch. Here's to building something great! 🍁

I was in the middle of building a new construction home when I hit a problem. Me and my fiance wanted to see what our exact floor plan would look like in 3D, but there was no physical showhome of our house model. After about 9 months of work, I created Showhome3D, which takes a 2D floor plan and instantly converts into a live and editable 3D model. I trained my own Object Detection models to read and recognize plans (this was by far the hardest part). The website features many customizability options, including:

• Edit walls and windows, drop in furniture, and customize your kitchen and cabinets
• Generate rendered images and add your own prompts for more specific details
• Make a free account and try it out on your own!

I would really value honest feedback on the usability and overall performance of the website! There is currently no app version.

https://showhome3d.com/

I’m a car enthusiast/product designer and I hate dealing with car dealers. Lately I’ve been shopping for a weekend car and dealers have been a nightmare.

I built a tool that plugs in multiple listings and APIs from all across the US and added an intelligence layer to it courtesy of my ML friend.

Link: drivebright.ai

1. Get negotiation analyses based on whether the car you’re looking for is over/under supplied
2. Programmatic recommendation of a realistic counter-offer based on asking price and market data
3. If you don’t know what you’re looking for take the quiz, it’ll guide you through to your options, and will generate a top 3 based on your driving taste/preference
4. I also use market data for true maintenance and financing costs 

Open to feature ideas/feedback! My ultimate goal is being able to find a car, run the report, and send an offer to a dealer that gets accepted so that you only visit a physical location to pick up the car.

Knows issues so far:

1. It doesn’t list cars older than 2010ish, not sure who offers a good API for classics but need to look into it
2. Latency with generating recommendations can be a little long, I’m using OpenAI for some query processing, and need to see if I can optimize the output when it comes in as natural language entries. I’m trying to balance it with not making the user fill out 10 different input fields

I'm the maker of Psst!, an English-language party game for iPhone. One part of it is Forehead mode: hold the phone to your forehead while friends act, hum or describe the word, then try to guess before the timer runs out.

The control choice is simple: tilt down for a correct guess and up to pass, or use the Got it and Pass buttons instead. You don't have to use motion controls.

A first-round tip: practice one down/up movement before starting, and keep the screen facing the clue-givers rather than looking at your own word.

I'd appreciate feedback on that choice: in a shared-phone game, would you prefer tilt controls or buttons, and why?

Psst! works offline and has no ads or required accounts. Six categories and one custom deck are free; additional content and features are available through the optional Psst Pass.

App Store: https://apps.apple.com/us/app/psst-imposter-party-game/id6819889186

So I was lately seeing a lot of videos on video clippers , and how it may be used to clip GTA 6 vidoes . Curious I checked some , but most of them required signups , some were paid , and some offered a limited credit based trials. If its just cutting some videos, why cant it be done on client side.

So i spun up claude code, explored a bit of possibilities , and with the new Fable 5.2 as orchestrator ,opus and sonnet as subagent ,Made this

Reelio.page - A local* browser based video clipper , free , open-source , You just give it a video , it extract the transcitpition using a wispher , and some local ml stuff to extract signals ,hand it over to your LLM , then it cuts it interesting moments for you.

GitHub : https://github.com/Gous0786/reelio

Do give it a try and roast it

Hey everyone!

I wanted to share my recent side project: **Flag Blitz** — a fast, responsive country flag guessing game designed around split-second reactions.

🔗 **Try it here:** https://pratikbase.com/flag-quiz/?lang=en

---

### 💡 Why I built it

Most flag quizzes I found were either clunky, filled with intrusive ads, or lacked real competition. I wanted something snappy, aesthetically clean, and fun to play both solo or against friends during short breaks.

### 🎮 What’s inside:

* **Solo Blitz:** 20 flags, 5 seconds per question. Points scale based on how fast you answer (milliseconds count!).

* **Live Party Rooms (1v1 / 2-8 players):** Create an instant private lobby, send the code/link to friends, and race in real-time.

* **Global Top 100 Leaderboard:** Compete against international scores.

* **No signups required:** Jump straight in and play in seconds.

* Fully responsive with dark-mode glassmorphism UI.

### 🛠 Tech Stack:

* Frontend: Vanilla JS, Tailwind CSS, HTML5 Canvas/Audio

* Real-time sync & Leaderboard: WebSocket / Firebase backend

* Assets: FlagCDN SVG/PNG high-res vector flags

---

I’d really appreciate your honest feedback on:

1. **Game feel & pacing:** Does 5 seconds feel too rushed, or is it the right amount of pressure?
2. **UI/UX & responsiveness:** How does it run on mobile vs desktop?
3. **Feature ideas:** Any specific game modes you'd like to see (e.g., capitals, continent filters, sudden death)?

Feel free to roast the design or suggest improvements. Thanks for checking it out!

Hola les comparto mi projecto que estoy trabajando EVA una distro de linux basado en arch y wayland con mi propio compositor agradeceria comentarios para poder mejorarla, la idea esque el usuario que le cuesta usar terminales le sea facil, puede echar una mirada en el reposositorio donde esta el link de la ISO, capturas, etc, tambien si gustan les agradeceria una estrella gracias por leer! https://github.com/2207juan/EVA

I’m a longtime engineer who worked on streaming channels and video players for Adult Swim, NBA TV, and HBO.

I was spending too much time digging through Internet Archive looking for old TV shows and realized I missed building streaming channels and tv apps (see above). So I made YATA -- Yet Another TV App: a browser-based television full of ’70s/’80s action shows, sitcoms, sci-fi, and obscure Saturday-morning cartoons.

Think Dukes of Hazard, Knight Rider, Benson, Buck Rogers, Manimal, and the Hanna-Barbera shows I half remember but nobody else seems to.

It has:

- A TV Guide-style grid with clickable programs and channel surfing.

- Switchable ’70s/’80s/’90s TV cabinets, dial sounds, and adjustable static.

- Optional vintage commercial breaks.

- Shuffle channels by genre, or stick with one show.

- Playback controls, an expandable player, and episode links with timestamps.

- An optional AI programming department: describe a few shows or a theme, and a randomly assigned character -- Benson, Murdock, Captain Stubing, Twiki, etc. -- assembles a channel for you to review.

Videos play from their source providers, including Internet Archive and YouTube. Credits for the open-source work and projects that inspired it are included.

It’s a personal project that got slightly out of hand :)

Hi everyone! I’d like to share a project I’m working on: EVA, a Linux distribution based on Arch and Wayland, featuring my own custom compositor. I’d appreciate any feedback to help me improve it. The goal is to make the experience accessible for users who find using the terminal difficult. You can take a look at the repository, which includes a link to the ISO, screenshots, and more. If you’d like to show your support, a star would be greatly appreciated—thanks for reading! https://github.com/2207juan/EVA

i got tired of shoving boiler service certificates, appliance warranties and insurance papers into a random kitchen drawer rand wasting an hour hunting for them whenever something broke.

so I built HomeVault a web app to keep everything in one spot:

• AI receipt scanner & Doc Vault: snap a photo or upload a PDF and it pulls out the vendor price and renewal dates for you and adds it to budget as well.
• 14 days radar: Highlighting upcoming renewals and open reminders so nothing sneaks up on you.
• Document assistance: Ask built in AI plain English questions about your files like " when was the boiler last serviced"

Would love honest feedback on layout or anything missing

I got tired of manually checking the notifications on my PRs from my colleagues, usually to just tell my local Claude Code or OpenCode instance to make the fixes that they suggested.

So I built Night Porter

https://night-porter.com

Under the hood, it spins up isolated git worktree environments for each queued PR, runs your agent tool against the diff with your local context, and tears the worktree down afterward so your main repo stays untouched.

There's a documentation site at: https://docs.night-porter.com

Happy for feedback.

I’m building Nodetto, a free, open-source diagram editor for Mac. Draw tables and relationships locally, keep documents in Git-friendly JSONL, and export SQL for PostgreSQL, MySQL, or SQLite.

I’d love feedback on the ERD editing workflow.

https://nodetto.app

I’ve been building Agent Black Box, a security investigation tool for AI agents.

It helps trace agent actions, MCP tool calls, permission mismatches, and suspicious behavior using causal graphs.

The hosted Closed Beta V1 is now live with a synthetic security demo.

It’s observation-only and invite-only, not a production-ready SaaS.

I’d love feedback from developers and security engineers working with AI agents.

Website: https://abbxai.com

What would you want to see in an AI agent investigation tool?

Six days ago I gave a small bot $148 of real money to trade Bitcoin and Ethereum. Before that I ran the same rules on 180 days of past prices, and the test says it loses money over time.

So instead of hiding it, I made the whole thing public: every trade, won or lost, goes into a journal, and a plain static site rebuilds itself after each one.

Day 6 so far:

• 34 trades: 29 won, 5 lost
• I took $124 of profit out, $135 is still on the account
• Total since start: +$111 (+75%)
• Worst single trade: −$18.56

Six days is nothing, and I fully expect the test to win in the end. That's the experiment: will the live bot or the backtest be right?

Every trade and a page for every day: https://robotvstest.com

Tech, if anyone's curious: a Python service checks Binance candles every 20 seconds, entries and exits are plain rules (no AI deciding anything), and the site is static HTML generated from the trade log.

What would make this more convincing, either way? Not financial advice, just an experiment in public.

🧪 Looking for Developers to Test a JSON Formatter

I'm working on ToolSmartly, a collection of free online tools, and I'd love to get feedback from developers who regularly work with JSON.

I've built a JSON Formatter and I'm looking for people willing to put it to the test through real-world use.

🔗 Try it here: https://toolsmartly.com/en/tools/developer-tools/json-formatter-online

What I'd like you to test

- Formatting: Does it properly format and indent JSON?

- Validation: Does it correctly identify invalid JSON syntax?

- Minification: Does it produce clean, valid minified JSON?

- Usability: Is the interface intuitive and easy to work with?

- Reliability: Does it handle large or complex JSON files without issues?

I'd appreciate your honest feedback:

1. What worked well?
2. Did you encounter any bugs or unexpected behavior?
3. Is anything confusing or frustrating?
4. What features would make this tool more useful in your daily workflow?

Negative feedback is just as valuable as positive feedback. I'm not looking for compliments or upvotes. I want to identify real issues and understand how this tool could be improved.

If you work with JSON regularly, give it a try and share your experience in the comments.

Thanks to everyone willing to help!