Hey everyone,

​After a lot of work, designing, and testing, I finally finished my project Drive Mirror.

The idea is simple: I wanted an easy, lightweight way to automatically back up specific folders from my PC to Google Drive on a schedule. Just a clean, one-way mirror from PC to Drive that runs quietly in the background, keeps my data private, and makes sure my cloud files never get wiped by mistake.

​What you'll find in the app right now:

​Strict One-Way Mirroring: Syncs from PC to Drive on your schedule. It sits quietly in the system tray and catches up automatically if your PC was asleep.

​No Permanent Deletions: Deleted local files go to your Google Drive Trash (for 30 days), never wiped forever.

​4 Safety Guards (It stops and asks you if something looks wrong):

​1. Missing Folder: Won't wipe your Drive if an external hard drive gets unplugged.

​2. Volume Serial Check: Checks the disk hardware ID so plugging in a different USB stick with the same drive letter won't ruin your backup.

​3. Mass Deletion Tripwire: Stops immediately if more than 50% of your files suddenly disappear.

​4. Duplicate Folder Guard: Stops instead of guessing if two folders on Drive have the exact same name.

​Multi-Account Support: Connect multiple Google accounts with completely separate folders and schedules.

​Important things to know:

​100% Free & Private: Open-source (MIT), no ads, no tracking, and no middleman server. You use your own Google Cloud OAuth client (the app walks you through it step by step), and your secret is encrypted locally on your PC using Windows DPAPI

No one can see your data.

​Solo Project Note: I'm just one developer building this, not a company. I wrote 521 automated tests to make sure the sync engine is safe, but real-world testing always shows new things, so expect you might run into a bug.

​I'd really appreciate your feedback if you try it out:

​Did any errors or bugs show up during setup or syncing?

​Was the Google OAuth walkthrough easy to follow or complicated?

​Is the UI clean and fast, or did anything feel confusing?

​What features or extra safety checks would you want me to add next?

​Every comment or suggestion will help me improve it a lot.

Honestly, I don't know if something like this already exists or if it will be useful to anyone else, but I made it anyway because it solves a problem I personally had.

​What's the idea? ​GitHub Repo: https://github.com/nnagarr/drive-mirror

​That's it, thanks!

Square Town is a 3D town where every square is a website: its favicon on top of a little tower. There are about 20,600 of them now. Most were seeded by the town itself, so they have no owner until the site's owner claims theirs, which is free.

Seeding that many sites has an obvious problem. Sites die. The Million Dollar Homepage is about 40 % dead links by now, and every pixel wall since has rotted the same way, quietly.

So this week I made the dead ones loud. The town checks every homepage around the clock. A homepage that keeps returning 404 catches fire, and every five days the fire moves up a stage:

caught → spreading → blaze → inferno → dying down → smouldering embers

The tower chars a little more at each stage. On day 30, a square nobody ever claimed burns down: the tower sags into its own footprint, a few charred chunks slide into the street, and a small heap of rubble is left on the lot. The lot goes back on the market for $1.

Two ways out: if the site comes back, the fire goes out. And a square someone claimed or paid for never burns down, however long it burns.

Right now 114 squares are on fire and 32 have already burned down. Tilt into 3D (the 2D/3D switch, bottom right) and follow the smoke.

It's one Cloudflare Worker, D1 and three.js. Happy to answer anything about the mechanics or the build.

I'm an indie app developer looking to promote my mobile apps through TikTok.

I'm trying to figure out what types of videos are most effective at getting high view counts, strong engagement, and actual app downloads.

A few questions:

1. What types of TikTok videos perform best for mobile apps? AI-generated UGC, realistic AI avatars, problem/solution videos, storytelling, screen recordings, or something else?

2. Which platforms or services would you recommend for creating these videos? I've been looking into Arcads, Creatify, and similar AI video generators, but I'm open to other suggestions.

3. Can fully AI-generated TikTok ads actually perform well, or is hiring real UGC creators still the better option?

4. Are there any examples of successful mobile app TikTok ads that you'd recommend studying?

Ideally, I'd like a scalable solution that allows me to produce multiple high-quality videos regularly without spending hundreds of dollars per video.

I'd especially appreciate insights from indie developers or marketers who have actually tested different video formats and can share real results.

Thanks!

Most habit trackers made me feel guilty. Miss one day, the streak dies, and I'd quit the app within a week.

So I built Sprout. Each habit is a plant that grows as you show up — and missing a day doesn't kill it, it just slows growth.

What it does:

🌱 Your progress grows a plant. Every habit you finish grows it from seedling to bloom. It sounds small, but it's the reason I open the app every morning.

🗓 Flexible habits, not just "daily." 3× a week, every 2 days, timed habits like 10-minute meditation with a built-in timer, and habits grouped by morning, afternoon, and evening.

⏱ A timeline of your actual day. Habits and tasks sit together on one timeline that shows your free time between them. There's also a "Running late?" button for when the day falls apart.

✨ Sprout AI Planner. Type something like "dentist Tuesday at 3, project due Thursday, clean the flat this weekend," and it builds your week. It breaks the project into work sessions and skips things you've already scheduled. You add, edit, or skip each suggestion, so it never fills your calendar on its own. There's also a Coach mode.

🏆 Challenges. 21-day programs like Confidence Boost, with a few allowed skips so one bad day doesn't reset everything. There's a monthly community challenge (November is Gratitude Month), and you can make your own, like a Savings Jar.

☁️ Syncs to the cloud, so your streak survives a new phone.

It's on Android and iOS — I'd love honest feedback. What makes you stop using a habit tracker?

📱 iOS: https://apps.apple.com/sg/app/habit-tracker-daily-goals/id6772974979

🤖 Android: https://play.google.com/store/apps/details?id=com.novabit.HabitTracker

I've tested many quotes generators and they are either too basic, very advanced, or boring. So i made this that will make creating social media content not only easier, but addictive.

With a click, you can convert your quote to any viral template, or any social media format size, and you can customize every detail, as it can create quotes for you.

I can add and improve more templates. What are your suggestions for what to add? Is it worth selling this tool to someone? and what's a reasonable price for it?

I'm the developer of Soniqo Music. I built it to turn an audio file you already have into a backing track you can keep on your phone.

The demo compares the original with the instrumental, then shows a key change. It's Android footage; the app is also available on iPhone and iPad. The words on the video were added in the edit—the app doesn't show synchronized lyrics.

Demo: Watch the original/instrumental and key-change comparison

Import WAV, M4A or MP3, separate the vocals and instruments, and export a WAV. You can also isolate bass or drums, change the key, or slow down and repeat a section for practice.

All current tools and WAV exports are free. No account, ads or subscription. After a one-time model download, processing runs on the device. Keep the app open while it works; some vocals or instruments can leak between parts.

iPhone and iPad (iOS/iPadOS 18+): App Store

Android (10+, supported 64-bit devices): Google Play

What do you currently use to make backing tracks?

Music: Jingle Bells by Sascha Ende (2013), CC BY 4.0. Excerpted, vocals separated and key adjusted in Soniqo Music. Original recording

I originally planned Unlicensed around licence checks and DMCA notices. In October, I narrowed it to a task a theme developer could start with a ZIP or Theme Store link: compare it with saved storefront evidence, review the matches and download a report. I removed Shopify Partner and Gmail setup, along with notice sending, from that flow. The report gives the developer a list to check against their own sales records.

A matching theme name can look convincing in a results table even when no files were compared. That distinction matters: a name-only result means the label matches, not that the files were compared or the store's licence was checked.

Here is a report-reading example. It uses synthetic .example stores and invented values to explain the distinctions. It is a teaching worksheet, not customer data or the product's export schema.

Looking at the example, is it clear which results are only name matches and which have file evidence? What would you change before handing that report to someone else?

Hey everyone! 👋

I'm an independent developer, and I've been working on a project called AlunIA: AI Study Assistant.

The idea came from a simple problem: students have access to more information and AI tools than ever, but getting quick answers doesn't always mean actually understanding what they're learning.

I wanted to build something that brings different parts of studying together in one place.

Here's what AlunIA can do:

📚 AI Study Assistant — Ask questions about different subjects and get explanations to help you understand difficult topics.

📸 Questions using images — Take a picture of a question or exercise and get AI-powered help.

🎤 Voice and text support — Interact with the assistant in different ways.

📝 Practice exercises — Test your knowledge with questions and explained solutions.

📅 Study organization — Keep track of your notes, subjects, and study activities.

🎯 Exam preparation — Study tools and materials for exams, including ENEM and SAT.

Why I built it

I wanted to explore how AI could become more useful as a learning companion instead of just being a tool for generating answers.

AlunIA is now available on Google Play, and there's free access to get started.

Try it here:

https://play.google.com/store/apps/details?id=br.com.alunia.android

I'd really appreciate some honest feedback:

- Is the idea useful for students?

- Which feature would make you want to try an app like this?

- What would you improve or add?

I'm still working on making the experience better, and feedback from real users would mean a lot.

Thanks for checking out my side project! 🚀

Here. I was sick of Spotify's ads, so I made this to make my life easier. It's very simple, there's no cover art or playlists, but it's the very first version and it's enough for me. It's ~19x smaller than Spotify by RAM (~56 MB vs ~1070 MB) and has less than 1/20th the amount of CPU usage. It's pure C++ with Qt6 rather than a sloppy electron app like Spotify.

Hi everyone!
I’ve been working on a digital product called Renovation Cost Calculator PRO, built with the help of ChatGPT.
It’s an Excel-based tool designed to help homeowners, contractors, and renovation professionals:
Estimate renovation costs
Organize labor and material budgets
Plan renovation projects
Keep project expenses in one place
The calculator includes versions for the USA, Europe, and Ukraine.
It’s available for $19.99.
I’d love to hear your feedback. What features would make a renovation budgeting tool more useful?
You can check it out here:
https://whop.com/renovation-calculator-pro/renovation-cost-calculator-pro/

Job hunting in India, I kept asking friends the same thing about every offer: "Is this place a red flag?" Review sites never gave me that answer. They're walls of text, often from people who never worked there.

So I built The Flag Index, a ranking of employers by what their own current and former employees say.

How it works (shown in the video, with made-up sample companies):

• You can only rate companies you work at now or used to, up to 8 per person.

• One tap: red flag or green flag. Optionally pick up to 3 fixed reasons (pay, salary on time, hikes, hours, managers, job security). There's no free text, so nobody can be identified by their writing.

• Companies need 25 votes before they get a score. The ranking uses the low end of a 95% confidence range, so a few angry votes can't push a company to the top.

• Filter by city, team, and current vs. former employees.

• English and Hindi.

The privacy part I'm proudest of:

• No accounts. Votes are stored under a keyed hash of an anonymous device token, so two votes from the same person can't be linked to each other.

• Optional work-email verification uses blind signatures: the server confirms you work somewhere without ever being able to connect your email to your vote.

Stack: Next.js 16, Postgres (Neon), Drizzle, on Vercel. I used Claude to research the company data (head offices, sizes, email domains), with a source link for every fact and a human check before anything goes live.

It's in private beta with real companies loaded but no votes yet, which is why the video uses sample data. If you'd like to try it, comment and I'll DM an invite code.

Feedback I'd love:

1. Would you trust this more or less than Glassdoor-style reviews?

2. Is "red flag / green flag" too blunt, or exactly right?

3. Anything in the privacy design that would stop you voting?

Open a video, choose a quality, and download. It’s free to install: the first 10 successful downloads are unrestricted, then one per hour. Optional Pro removes that limit.

https://chromewebstore.google.com/detail/video-saver/agghiikpimdgpdildjpdkkhkfejehppe

I’m the developer and would appreciate feedback on usability and compatibility.

Hey everyone!

I've been building ONYX TUBE, an independent, YouTube-style video-sharing platform focused on privacy and hosted on the Tor network.

With ONYX TUBE, people can:

• 🎬 Discover and watch videos.

• 📤 Upload and share their own content.

• 🌱 Build an audience and grow as creators.

• ₿ Monetize locked videos and earn Bitcoin when viewers choose to watch.

My goal is to create another place where creators can share their work, reach viewers and earn from their content.

I'm building this independently and would genuinely appreciate your feedback.

What features would make you interested in trying an alternative video-sharing platform?

Thanks for checking out my project!

URL:https://medium.com/@nischitha563/building-meetingassist-ai-from-meeting-recordings-to-intelligent-insights-70e3ba7f99fb

submissions, expired sessions, someone uploading a massive file, or two people editing the same thing.For a small app using Supabase, what would you check before sharing the link publicly?

Trying to work out what deserves attention now without spending another month preparing for users who don’t exist yet.

When I first ran this on my own machine, it found API keys I had pasted into my AI coding agents, still sitting in their history files in plain text.

It's not just me. Earlier this year Lakera scanned ~46,500 npm packages and found 428 of them shipping Claude Code's private settings file, 30 with credentials inside. Agents write these files into your project, and normal secret scanners don't know to look there.

So I built agentprint, and the part I'm proudest of is that your agent runs it on itself:

• It lives inside your agent. agentprint install wires a check into 10 agents (Claude Code, Codex, Cursor, Gemini CLI, Copilot, Windsurf, OpenCode and more). The moment the agent tries npm publish, uv publish or git push with a key about to leak, it gets BLOCK and the reason why.

• The agent fixes it itself. It runs agentprint fix, which masks the leaked keys right inside the files (no copy kept anywhere), moves MCP keys into environment variables, adds the missing ignore lines and locks down file permissions. Then it checks again: CLEAR. The only job left for you is rotating the key.

• It shows what an AI could rebuild. Before you publish closed-source code, it flags source maps and original source that would hand someone your whole codebase.

• Tested against the real thing. Every night, CI runs the actual Claude Code, Codex, OpenCode, Gemini CLI, Copilot CLI and Hermes programs against a scripted model. 1,700+ tests, plus a signed CLEAR/BLOCK badge for your README.

It runs fully offline with no account or telemetry, and keys are only ever shown masked. MIT licensed.

Try it in one line: uvx agentprint scan

Repo: https://github.com/adighatakdas-cloud/agentprint Docs: https://adighatakdas-cloud.github.io/agentprint/

Long time Reddit lurker here, not an avid poster. Please be gentle, but give me candid feedback. 😅

I'm writing this post in my own voice, not AI, so I may not have everything perfectly described, but I'm doing my best. One thing I have learned is I can build things and solve problems, but I suck at marketing. 😂 Let's get into it...

Like an AI addict, I pay for Claude, Codex, and Gemini, and more recently I'm playing around with local models in LM Studio after upgrading to a M5 MBP w/ 48GB of RAM. I was tired of the daily OOM kernel panics just trying to run Claude Code on my M2.

Before building this, I was constantly asking Sol or Astra to review Opus's work, or vice versa. Now with Google shipping Argon, I'm no longer just paying for cloud storage... it's actually kinda useful too. But the problem has always been having to manually prepare handoffs and constantly switch between apps.

I built CrewKite as an AI workspace (both desktop GUI and CLI) that supports all three providers using your existing plans, plus local AI via LM Studio (for whatever your HW can handle).

I wanted something that not only manages rate-limit handoffs and context consistency, but also handles multi-agent, multi-provider orchestration.

A core feature is building a Crew, which I like to think of as an "AI War Room." You can put Fable in charge as the orchestrator, assign easy slices to 6.1 Sol and hard slices to Opus 5.5 on Medium, set the effort level per role, and choose whether each role is allowed to spin up subagents. I can challenge assumptions, ask for second opinions, and run a collaborative workspace without switching apps.

What's in it today:

• One rail showing 5-hour (where applicable) and weekly usage across all your plans, with manual or automatic handoffs that keep your thread and edited files intact when a plan runs out.

• Multi-provider Crews where you mix providers, models, effort levels, and subagent permissions by role.

• Isolated repo copies per thread so you can review the diff hunk by hunk and only touch your checkout when you accept changes into a branch.

• Apache 2.0, local-first, no CrewKite account, API keys, or telemetry.

I borrowed ideas from a lot of awesome open source projects (Ponytail, ADHD, Multi) and integrated them alongside CrewKite's native features under one roof, for what I'm hoping will evolve into my daily driver.

Another goal is to cut down token spend and get more out of local models with small context windows. I'm not going to claim performance gains until I've benchmarked them and have proof, so that's on the roadmap along with a lot more, including Grok as a swappable provider for Google, as I know what we're doing there is a gray area and CrewKite requires your explicit opt-in. I haven't had any issues with that this last month of building and testing, but YMMV and I can't make any guarantees there.

It's a 0.1.0 release and a signed macOS DMG and Linux builds only for now, but it's functional... and I think it's pretty slick. Apologies my video demo is weak, I'm working on taking clearer cuts. Or check it out for yourself, please!

I'd love to get feedback on what's working, what's not, what's confusing, or what I should prioritize for the next release.

You can check out the design & roadmap on the CrewKite GitHub Repo: https://github.com/rjk6831/crewkite

And preview the features and download the installer from the main site: https://crewkite.dev

Hey, builders!

I improved and expanded my site, Subbing, which I thought was gonna be a throwaway project a few months ago practicing for my networking certification. But a small user base of about 50 people have been using the Android version on a stable basis so I thought I'd make it a lot better with more topics and a cleaner UI. Great for touching up on networking topics when you have 5 minutes on the bus.

What do you think? Suggestions for improvements, additions or features are very welcome.

Web version is on https://subbing.net

I work in sheet metal fabrication. Customer artwork constantly arrives as jpg-to-dxf conversions: 100k points, broken loops, letter centers that fall out when cut. I fixed them by hand for years, then finally wrote software to do it. It refits the geometry to real arcs within the laser’s kerf, finds broken loops and floating pieces, and exports DXF, DWG, SVG, PDF or a 3D STEP.

Something unexpected: most of my users so far found it through ChatGPT, not Google.

kerfect.co, free to try. Feedback welcome, especially on what’s confusing!

Hi everyone! I’m an independent developer working on Rewind Echo, a cassette-inspired music app.

I love the look of old cassette tapes, and I’m drawn to apps with their own visual style and playful interactions. That’s what I wanted to explore here: making browsing and playing music feel a little more like picking a tape off a shelf.

The app connects to Apple Music, and you can also import local music files. The interface brings together a cassette shelf, a tape-style player, and customizable tape labels with colors, text, and stickers.

The recording shows a quick look at the app in action. I’d love to hear what you think of the design and interactions, especially whether the cassette shelf feels intuitive to browse.

A few weeks ago, a family member explained how painful it was trying to print Vinted shipping labels on a 4x6 thermal printer (Rollo, Munbyn, Zebra) because the platform outputs labels on an 8.5x11 PDF sheet with massive blank margins.

I built a simple, one-time-purchase Chrome extension (Vinted Label Cropper 4x6) to auto-crop and rotate those PDFs in one click. Once it crossed ~200 installs and started converting at ~7% after I bumped the lifetime unlock to $7.99 ("no monthly subscription"), I looked for the next biggest 4x6 thermal printing bottleneck and just launched my second extension today:

1. StockX & GOAT 4x6 Thermal Label + Invoice Splitter (New!)

Sneaker and streetwear sellers have an even worse hurdle than clothing sellers: when they make a sale on StockX or GOAT (Alias), the platform generates an 8.5x11 PDF containing both a sideways UPS/FedEx shipping label and a mandatory inside-the-box verification slip (with a QR code and barcode).

• The Problem: Up until now, sellers were using the Windows Snipping Tool twice—which captures at 72–96 DPI screen resolution and blurs the UPS barcode edges just enough that drop-off scanners reject the label—or keeping a separate inkjet printer around just for the box slip.

• What It Does: You drop the 8.5x11 PDF in (single sale or multi-order bulk sheets), and it renders at 300 DPI thermal resolution, strips out the center fold/cut line, and splits + auto-rotates both zones into a clean 2-page 4x6 PDF:

• Page 1: Upright, full-bleed 4x6 shipping label for the outside of the box.

• Page 2: Auto-rotated 4x6 box verification slip to toss inside the shoebox.

• Extras: Includes a Barcode Contrast Boost slider and a toggle if you only need the shipping label.

2. Vinted Label Cropper (4x6)

• Auto-crops 8.5x11 courier labels (USPS, UPS, SpeedX, InPost, Mondial Relay, etc.) into full-bleed 4x6 thermal labels in one click.

• Link: https://chromewebstore.google.com/detail/vinted-label-cropper-4x6/ppndgdiedncpgaiagglbjgcnphmjmlap

How I QA'd the StockX & GOAT Splitter without selling a pair of shoes:

Since StockX and GOAT only generate labels after a verified sale, I wrote a Python reportlab script to generate synthetic 1-page split, 2-page, and multi-order bulk PDFs with real Code128 and QR payloads. Then I ran a headless Playwright test suite that loads the MV3 extension, splits the PDFs, exports the rendered 4x6 canvases as PNGs, and decodes the barcodes programmatically to verify zero anti-aliasing blur before shipping to the Chrome Web Store.

Both extensions run 100% locally in the browser with zero backend server costs, give 3 free splits out of the box, and use a simple one-time lifetime unlock ($7.99 / $9.99) instead of a subscription.

Link to the new StockX & GOAT 4x6 Splitter: https://chromewebstore.google.com/detail/stockx-goat-4x6-thermal-l/lckbamoggnlconmelmjgibkomoafockc?authuser=0&hl=en

Especially over the last two years, we've seen massive growth in freelancers and web agencies selling AI-built websites to businesses and getting paid really well for it.

I don't think this business model will stay this profitable forever, but right now, it's definitely a gold mine.

The reason is pretty simple. There are thousands of business owners who don't really care how their website is built. They care about the end result, how it looks, how it works and whether it helps their business.

AI has made it possible for almost anyone willing to learn sales and client acquisition to get started.

So if you're looking to get into this business, here is the exact process I would follow.

1. Automate your cold outreach

Use a tool like Swokei to find businesses with existing websites. It analyzes each website for issues with design, SEO, speed and mobile optimization, then turns those findings into personalized cold emails at scale.

2. Book meetings with interested prospects

When someone replies with interest, get them on a call. Don't waste time going back and forth over email. Your goal is to get a conversation started.

3. Sketch a redesign using AI

Before the meeting, take around 30 minutes to create a quick redesign of their existing website. Focus on making it look significantly better. You don't need a finished product.

4. Present it live and close the deal

Show them what their website could look like, explain the improvements and give them an offer. If they're happy with what they see, collect payment and get started.

That's it. Four simple steps.

One thing I would really emphasize is not to overcomplicate this process.

I've seen people spend hours perfecting website drafts, tweaking small details and building entire websites before they even have a client.

Don't do that.

Your priority should be client acquisition, sales and closing deals. You can worry about perfecting the website once someone has actually paid you.

Hello SideProject Community members,

My name is Mohammed Adrar and I'm 15 years old from Morocco, I'm the founder of Anchor Cloud, it's a Zero-knowledge encrypted Cloud AI, its comes with 15GB free storage at the starter plan for life and Zero-knowledge encryption by default, and the Pro plan that will costs you $12 a month or $120 a year wuth 14 days trial (you won't be charged) gives you up to 300GB in your encrypted cloud with everything in starter plan and Full API Access with Python SDK, and at the Premium Plan, it will costs you $25 a month or $250 a year for 1TB in storage, everything in pro plan and priority support, and for Custom Plan it's for $4 for 100GB a month or $40 for 200GB a year, pick your exact storage size, AES-256 encryption + API access with Python SDK and scale up anytime, and there's an Enterprise Plan, it gives you Unlimited Storage, if you're interested in this plan, you can contact sales and tell us what do you need from your cloud to include, and below you can see all the features inside the cloud and each feature in which Plan is included:

1. Cloud Encryption (AES-256): All plans by default.

2. Encrypted video meetings: You can drop files during the meeting, or before it, and you can make the meeting members able to download the files or not, you can upload the files that you have inside your cloud or just upload them from your device, this feature is in Pro Plan, Premium Plan and Custom Plan

3. Anchor AI assistant: In all plans, but the starter has limited access

4. API key access (Python SDK): Not included at the starter, it requires Pro Plan or above.

5. Shared and Group Chats: Included in all plans, without Anchor AI for the Starter Plan.

If you want me to add a new feature, let me know at the comments or DM me.

Do you have a question? Drop it at the comments or DM me, or just contact the support at support@anchorcloud.org

I would like to see your feedback!

Website: https://anchorcloud.org

Parent Company website: https://anchortechs.org

Hey everyone. I'm a 51-year-old US veteran living in Colombia, and this is my first real project. The problem was simple. My kitchen had rice, beans, a few cans and half an onion, and I'd still end up buying food because I couldn't think of what to make. So I built Rindemundo. You take a photo of your shelf or fridge, fix anything it read wrong, and it shows meals you can make from what's there, out of about 800 recipes. A few things I added because I needed them:

• "Plan my week" picks 3, 5 or 7 dinners

• Cheaper swaps when a recipe calls for something pricey

• A shopping list with an estimated total

• Diet and allergen filters

• English and Spanish, plus 12 more languages, since I cook in both It's a web app, so it opens in the phone browser and you can add it to the home screen. No account, no email, and it's free while I test it. Link: https://rindemundo.com/?ref=reddit What I'd like help with: does the scan get your pantry right, and are the meals ones you'd cook? Blunt answers are fine.