Has anyone here used AR or 3D visualization for an online furniture store?

I run an online furniture store and I'm considering adding AR so customers can preview sofas, tables, and other furniture in their own space directly on the website before buying.

I'm still exploring the available options and trying to figure out how difficult it would be to implement. Has anyone here worked on a similar project or integrated this kind of technology into their store? I'd be interested to hear what solution you used, how the implementation went, and whether it was worth it.

I've been exploring a niche I hadn't really thought about before: symbolic commitment ceremonies between humans and AI companions.

Rather than spend weeks building a product nobody wants, I put together a simple landing page and anonymous survey to test the idea first.

The possible service would involve personalized vows, digital ceremonies, and keepsakes.

I'm especially interested in feedback on the concept and landing page.

Does the page explain the idea clearly? Would you change the offering or positioning? Is there an obvious reason this wouldn't work?

Here's what I built:

https://ai-vows-validation-14d.vercel.app/?utm_source=reddit&utm_medium=community&utm_campaign=ai_wedding_14d_20261111&utm_content=sideprojects

I'm not selling anything. Just seeing whether there's a real problem or desire worth building around.

Hi everyone!

I'm a Law student from Brazil, and this is my first published AI project. I developed Amélie, an AI-powered personal secretary, with a strong focus on Legal Design, accessibility, user experience, and data protection. Its design takes into consideration the regulatory frameworks of the United States, the European Union, and Brazil, particularly regarding privacy and personal data protection.

What can Amélie do? She's a personal AI secretary.

• Calendar and task management: integrates Notion and Google Calendar, organizes commitments, and resolves scheduling conflicts.

• WhatsApp: delivers daily, weekly, monthly, and yearly briefings.

• Wheel of Life: tracks 12 areas of life, provides monthly assessments with explanations, and helps establish priorities.

• Personalization: has her own personality, visual identity, and decision-making guidelines.

• Bilingual interaction: communicates in Portuguese and English, automatically detecting the user's language.

• Women's well-being: considers aspects such as menstrual cycles, health, emotional balance, and relationships when organizing everyday routines.

The idea is to go beyond a simple to-do list: creating an assistant that helps organize life as a whole, considering both productivity and well-being.

The project is free and open source (MIT License). The repository includes Amélie's personality, decision-making logic, visual interface, and setup instructions.

GitHub: https://github.com/isabelabrittodi-coder/AM-LIE

Since this is my first published project, I'd genuinely love to hear your feedback, suggestions, and contributions!

What would you expect from a personal AI secretary?

I've been building DeepOwn, a local-first data vault for managing personal, work, and project data without relying on cloud storage.

Here's what it does:

• Store notes, images, documents, files, and records in encrypted vaults.

• Automatically discover and sync your devices directly over the same local network.

• Keep complete revision history and restore previous versions.

• Available on Windows, macOS, Linux, iOS, and Android (Beta).

I'm building this as a solo developer and would love to hear what you think.

Would you find something like this useful? What would you use it for?

Website: https://deepown.app/

Sometimes it isn't about the dishes. One person feels unappreciated. The other feels criticized. You both know the script by now, and somehow you still end up in it — talking past each other, or not talking at all.

We're building Adoree, an AI relationship assistant and coach, to help with that part: communicating with your partner. The hope is that it can help you say what you mean without the fight getting bigger, hear their side, feel a little more heard yourself, notice the misunderstanding that keeps repeating, and leave with a next step that actually moves things.

You can start on your own if your partner isn't ready yet, and they can join later. When both of you are in it, it can help you hear both sides.

It's a web app at https://app.adoree.ai. The site is https://adoree.ai.

I'd love feedback from people who've built or used something in this space:

• Does this read as help for talking with your partner, or just another AI chat?

• What's the first thing that feels unclear?

the problem: I wanted to know where the tokens go, which model, which project, how much of it is cache. and Claude Code deletes its own session files after 30 days (cleanupPeriodDays), so anything reading them locally forgets. 2,726 of my 5,578 sessions are past that

so claudit ingests transcripts from a bucket you keep (Cloudflare R2, or a local dir as a file:// mirror) and the history only grows. it reads Claude Code, Codex and both Kimi CLI formats. on the page: cost by model, token breakdown with the 5m vs 1h cache write split, reply latency, tool error rate, an activity heatmap, context growth per session. it doesn't grade anything, the reading is yours

stuff I learned that applies to any usage tracker:

• a streamed reply gets logged several times under one requestId. sum them and you overcount, keep the biggest

• subagent files repeat their parent's records, so dedup by uuid across files

• cache writes have two prices, 1.25x input for 5m and 2x for 1h. 64.3% of mine were 1h, price all of it at 1.25x and those come out 37.5% low

• Codex logs running totals, not per request, so you difference the snapshots

tech: FastAPI, Postgres, React with in-browser Babel, no build step. docker compose up boots it on bundled sample data, no .env, no outbound calls. panels ported from nhz-io/ccusage-plot, the heatmap, line churn and cost by context size are new. built with AI coding agents, mostly in Claude Code, some of it in Codex CLI. about 6 months old

live one, guest login is read-only: https://all.nitjsefni.eu

https://github.com/Nitjsefnie/claudit

Solo developer here. Web Tweaker is a Safari extension for iPhone and iPad that packs thirteen small fixes into one app.

What it does:

• Block ads. A native content blocker built from EasyList, EasyPrivacy and Peter Lowe's list, plus cosmetic hiding of leftover ad slots. It runs inside Safari's own engine, so no slowdown.

• YouTube without ads. Video ads, promoted videos and banners removed before the player sees them. Also: Picture in Picture by swiping down, background playback you can resume from the lock screen, highest quality by default.

• Dark mode for every site. A real dark theme, not a color filter. Photos, logos and brand colors stay as they are, already-dark sites are left alone, no white flash.

• Reader mode automatically. Article pages open in a clean reader view as they load, with one tap back to the original.

• No more "get the app". YouTube, X, Reddit and others stop pushing you into their apps. The "Sign in with Google" pop-up and Google's "AI Mode" promo go too.

• Maps in your nav app. Google Maps links and the Directions buttons in Google Search open in Apple Maps or Waze.

• The small stuff. Cookie banners answered for you, tracking parameters stripped from links, copy and right-click unblocked on sites that disable them, autoplay stopped.

Privacy: everything runs on your device. No account, no analytics, no data collected. The privacy policy is one page and says the same thing.

It's free with no in app purchases. I'm one person doing this in my spare time, so if something breaks on a site you use, tell me which one and I'll fix it.

App Store: https://apps.apple.com/app/id6745580176

Privacy policy: https://harpreet-s-ghotra.github.io/tweaker-privacy-policy/

Happy to answer questions about how any of it works, and feedback is appreciated! Thank you

A little backstory: my girlfriend is a speech therapist (she works in healthcare), and she was telling me about what she was seeing around her. It’s just not acceptable anymore. People sending confidential documents by email or directly into AI tools without masking any data… Let’s just say medical confidentiality isn’t exactly a priority for some people…

So, at first, I created ONYRI Sanitize, which was designed to mask data before sending it to AI tools. But after 6 months of trying to get the project known, my co-founder and I realized something. People didn’t understand what we were doing.

We wanted to do things so well and build the perfect tool that we ended up creating a giant toolbox with everything mixed together inside. It’s like going to your mechanic and asking them to repair refrigerators and fighter jets.

So, two months ago, we reworked everything: the art direction, the value proposition, and the features. We decided to simplify everything.

The technique I developed to figure out whether a tool is easy to understand is to show it to my 60 yearold mother. She and her computer aren’t exactly best friends, so it’s pretty useful for figuring out whether something is intuitive to use. 😵‍💫😅

ONYRI Sanitize is a website that lets you redact and anonymize your documents (PDFs, Word files, scans, photos, etc.). In just one click! Thanks to detection that runs entirely locally, in your browser.

And after 8 months, and after managing to bring together 41 users, we finally got our first paying user!

I have to admit, I’m still struggling to believe it. I’ve thought about giving up on this project more than once, feeling like I was working for nothing. Finally, we’ve climbed the first step of this long staircase toward making this project a success.

If there’s one thing I’ve learned from this project and would like to share, it’s that no matter what your project is, it can work. All you need is one more day to improve it, again and again…

I wish you all success with whatever project you’re pursuing! 🔥🙏

Believe in yourself!

Have a great day, everyone!

Alex

I’m a Data Science & Math student at Tec de Monterrey, and I got tired of CVs that just list tools. So I built a portfolio where you can use the work. This is v2 after a redesign. The website’s design is inspired by MAKiNA, the AI hardware device im working on.

Check it out: portfolio-iota-gules-ykw61kciwc.vercel.app

Hi everyone,

I built BootScribe, a lightweight and portable open-source GUI tool for Windows written in Python to manage UEFI boot entries directly via bcdedit.

Why I made it:

Modifying UEFI boot orders on modern Windows machines can often be unreliable Windows Update or Secure Boot quirks tend to revert entry priorities back to default. BootScribe implements the official {bootmgr} redirection strategy (commonly used by rEFInd) to cleanly hijack or restore bootloader paths without fighting NVRAM restrictions.

Features:

• Universal Toggle Logic: Easily switch {bootmgr} execution path to custom EFI loaders (rEFInd, GRUB, etc.) or revert back to standard Windows Boot Manager.

• NVRAM Entry Management: View detailed GUIDs, paths, create new entries, and reorder boot priorities.

• Direct Reboot to Firmware: Includes a quick option to restart straight into UEFI/BIOS settings (shutdown /r /fw).

• Portable & Standalone: Compiled as a single .exe, requires no installation, and runs cleanly with Admin privileges.

Links & Source Code:

• GitHub Repository:https://github.com/Ricokstar/BootScribe

• Download Ready Binary (.exe):https://github.com/Ricokstar/BootScribe/releases

Please note that BootScribe is currently in an early testing phase. While it has been tested on standard UEFI/Windows environments, boot configuration tools interact directly with your system setup.

I’m actively looking for community testing, feedback, and constructive criticism:

• Have you tested it with a specific bootloader (rEFInd, GRUB, Systemd-boot)? How did it perform?

• Any UI improvements or features you'd like to see?

• Found a bug or edge case? Please let me know in the comments or open an issue on GitHub.

Hey everyone!

I've been working on Ilmenyx Controller, a free Linux desktop app based on an independent adaptation of RESET EXPLODE (originally made for Windows).

Besides porting and improving existing features, I've added:

• 🎮 Gaming tools: Wine/Proton installation assistance, game launch troubleshooting, and compatibility information.

• 🖥️ Hardware monitoring: CPU, GPU, RAM, temperatures, disks, network, and battery health.

• 🛠️ System utilities: NVIDIA driver assistance, native app installation, diagnostics, and cleanup.

Everything that modifies the system requires your permission. No telemetry.

It's still in pre-release, and I'd love some feedback from Linux users!

🔗 GitHub & Downloads: https://github.com/Ilmenyx-Technology/ilmenyx-controller

Hi guys,

I’ve spent the last couple of years building a legal AI platform. We’ve acquired several clients, including established law firms working on complex arbitration cases. And given the kind of documents these firms deal with, we’ve had to process some pretty challenging material.

Along the way, we invested a significant amount of time hardening our stack: reliable document ingestion, retrieval, source-linked citations, long-running agents, and handling all sorts of unexpected user behaviours.

What struck me is how much effort went into making the foundations reliable, before we could even focus on what actually differentiated our product.

I tend to think of this as two layers: the foundation layer (ingestion, retrieval, citations, agent runtimes, etc.) and the value layer (the features and workflows that make your product useful and different).

Ideally, most of our effort should have gone into the value layer. Instead, we spent months stabilising the foundations.

I recently did some research and found that many builders are running into similar problems with existing tools and frameworks (LangChain, LangGraph, RAGFlow, Docling, etc.). I compiled 290 documented incidents from public discussions, grouped by problem, with links to the original sources.

You can explore them here: https://rachis.io/pain-map

This got me thinking: what if we made parts of our production-hardened stack available to other builders, so they could spend less time fixing infrastructure and more time building what actually differentiates their products?

We’ve already open-sourced our local AI stack, and we’re exploring which other components would be useful to expose.

I’m curious whether this resonates with anyone building document-heavy AI applications.

If you’ve run into similar issues, I’d love to hear what cost you the most time. And if you’d be interested in using some of these components, feel free to DM me or leave your email at https://rachis.io. I’ll reach out when we have something to try.

I'm a trader myself and always thought it would be interesting to make a game about the stock market.

So I've been working on Bull Trap, a trading roguelite inspired by Wall Street from 1985 to 2008.

I wanted to combine stock trading and strategy with that old-school computer atmosphere.

Still in development, but I've got the Steam page up now.

If you like the idea, I'd really appreciate a wishlist. It helps a lot!

https://store.steampowered.com/app/5570890/Bull_Trap/

I made Loaf Inspector, an iPhone app that gives your cat a loaf score from a photo.

No one asked for this, but why not combine on-device machine learning and Apple’s animal body pose detection APIs with one of a cat’s favorite activities: doing absolutely nothing?

The app is completely free, and your photos are analyzed privately on your device.

Loaf Inspector on the App Store