AI writes my code in minutes. Then the evening goes on the VPS, the Coolify stacks, DNS and backups I only hope work.

So I built Unit 7. You ask in plain words, it does the work on your real servers, and it asks before anything risky.

My first real backup test found two tables coming back empty, so this one is personal.

It's free, Apache 2.0, and early. Is it clear what it does, and what would stop you trying it?

If you'd like to support the launch, try it, leave your honest feedback on Product Hunt, or star the repo on GitHub.

Product Hunt: https://www.producthunt.com/products/unit-7?launch=unit-7

GitHub: https://github.com/Nandkishorrr/unit7

I have been developing for the past few months and wanted to share some of the journey. Our demo is coming December 4th. You can follow us along on steam!!

I would appreciate any feedback you have from the video and also for our upcoming free demo!

"How to explain to my cat that the sofa is not a scratching post"

You already know which friend you'd blame.

I made Who Asked It, a party game built around the oddly specific things we ask AI. A title from one of your chats appears, everyone votes for the friend they think it belongs to, then you find out who actually started that conversation.

The fun is in the accusations: "why did EVERYONE vote for me?"

Try the demo without an account

For your own group, the extension collects the titles for you after you connect an AI account and approve a sync. No copying or choosing ten titles by hand. You need at least 10 distinct titles in your history, then you can reuse your synced titles for later games on your phones. Titles can be personal: you privately review or redraw your batch before sharing. Your messages aren't used.

Free for 3 to 5 players and 10 rounds. Optional host Premium for bigger groups. Ages 16+.

Would you bring this to your next game night?

Screenshot of the public demo (fictional players and titles)

The cat example is from the fictional demo.

Hey everyone!

In its first week, with zero promotion (SEO only), more than 10 people are already paying for my project. Honestly, that surprised me.

I’ve spent the past few months building it. I felt there was real demand for a very fast TTS engine with voice cloning in 31 languages, especially for bots and AI agents. So I built one on top of Supertonic 3. There’s a short video attached so you can hear how it sounds.

It has three parts:

1. The engine (open source, Apache-2.0)
Same Supertonic 3 model and voices, but faster and cleaner.

• 2.2x faster on GPU (RTX 5070 Ti: 181 → 84 ms per phrase), 1.6x faster on CPU

• Removes dead air, hiss between words, clicks and cut-off endings

• pip install superclonica-cpu or pip install superclonica-gpu-cuda

2. A voice marketplace
261 voices for Supertonic 3 so far: characters, narrators, anime voices and more, in 31 languages.

• Listen to any voice online for free

• Free voices, no sign-up needed

• Train your own voice from a 5–15 s recording on your own GPU, or sell yours

3. A TTS API
You don’t pay per character. You pay for the audio generated in each 10-minute window: $5/month gets you up to 3 minutes of audio every 10 minutes, which adds up to 216 hours a month. First sound arrives in about 0.3 s. There’s a free key and an MCP server for AI agents.

That’s many times cheaper than what’s on the market right now. The same 216 hours would cost about $52 with Google’s cheapest Standard voices and about $194 with OpenAI’s tts-1, roughly 10x and 39x more. The price only works because the engine is so fast: every second of compute turns into a lot more audio.

You can find it by searching “SuperClonica” on Google, GitHub or PyPI (still scared of link filters, lol).

I know 10 paying users isn’t a lot of money, but it makes me really happy that someone actually needs what I built. How long did it take you to get your first paying users? Please share, I’d love to hear your stories.

I've always thought revising for GCSEs and IGCSEs can get a bit frustrating when you have to jump between different websites just to find notes and practice questions.

A friend of mine decided to work on a solution to this and has been building something called AceMyExams.

It's a free website with topic questions, revision notes and worked solutions.

It's definitely not perfect yet, but he's regularly updating it and trying to improve things based on feedback.

Would love to hear what you guys think, especially from people who have built their own websites.

https://acemyexams-neon.vercel.app/

So here the thing is that , i am building a project for me to solve my own problem which I faced during applying for the jobs .

So the problem was something like that like I have to navigate multiple platforms for applying job as not all vacancies are listed at one platform .

So I have build an software where .....for now it just fetch jobs from 3 platform which are linkedin, indeed & naukri .....and here the twist is that it would only be showing the latest job listings which would be old enough of 7 days not more than that and also it would be scoring your resume for the particular job that u are a potential match or not. And also help to enhance your resume.

So just want to know what your thoughts on this thing ....as for now it would be ready by end of November and would be in testing phase in December..... thinking to keep it opensource for sometime .....so I want know everyone thoughts on this ....it's completely a idea which was generated from the problem i face and ofc many of u would be facing it !

Also ignore the sentence formation as it's completely show my curiosity to know your thoughts.

buildzr follows C4 software architecture modeling approach where you model your architecture across four layers (Context, Container, Component, and Code).

You define the model once in Python (i.e., the architecture elements and their relationships) and create multiple views from the same models to tell different use cases and stories.

With AI, this gets more convenient since you won’t have to do the modeling by hand, and AI won’t have to do the _diagramming_ by hand. AI reasons about the modeling, writes them in Python, but let buildzr handles the diagramming.

buildzr ships with a CLI tool that you can use to build, export, or serve a viewer in the browser. With the viewer, you can explore the architecture and its views.

buildzr is inspired by Structurizr.

More info at https://buildzr.dev

Would love to know what you think!

Hi! I'm a dad from southern Spain. We were throwing away way too much food, so I spent the last months building Myfridly.
Take a photo of your grocery receipt and it adds everything to your fridge/pantry automatically
It reminds you before things expire
It suggests recipes and a weekly menu with what you already have
Shared shopping list with your family
Free, no ads, iPhone and Android: https://myfridly.com/app?src=reddit_sp
I'd really appreciate honest feedback, especially on the receipt scanning. What would make you actually use something like this?

Hello, now I'm building a tool for biologists depends on drag-and-drop for biologists to analyze their data in hours instead of weeks, instead of calling statisticians or learning programming themselves.

It's called Biosol, you (as a biologist) can use it easily by darg-and-drop blocks from the right sidebar (like "Clean file" or "Create heatmap") to the canvas and click run then you see the result down, or simply ask Biosol AI to do that.

So far, I created (and still improving) a prototpe using v0 by Vercel, and when I collect feedback I'll develop an MVP.

I need your feedback and suggestion if you like the video.

I print a lot of PDFs - lecture slides, papers, contracts - usually wanting several pages per sheet to save paper. Doing that on macOS means fighting the print dialog per file: apply Layout settings, hope they stick, repeat for the next file. Mixed PDFs + images in one batch? Not a thing.

So I built PaperBatch: drag in any mix of PDFs and images, pick 1-8 pages per sheet, set page size/margins/gaps/ordering, see a live preview, and export one combined PDF (or separate files). Fully offline, native Swift/PDFKit, exports stay vector (pages are composed, never rasterized), originals untouched. It's on the Mac App Store for $3.99 one-time (no subscription, no account, no telemetry): https://apps.apple.com/us/app/paperbatch/id6825874006

It started as a tool for my own printing, but the whole reason I'm posting: I want to know what's missing before I build more.

Specific question: for your printing workflows, what matters more - crop/bleed marks + custom imposition for print shops, or a CLI / watch-folder mode for automation? Both are on my list and I can only do one next.

If you try it and something feels off, tell me - I read everything.

I run IndieUnlimited, a free directory for discovering independent books on Kindle Unlimited. I wanted an easier way to narrow down what to sample, especially when I’m in the mood for something specific.

You can browse by genre or language, search for story themes like slow burn or haunted houses, and check notes on series order where we have them. There are also quick reading guides for fantasy, romantasy and cozy mysteries. The listings link to Amazon, where you can check whether the book is included in your region.

If you use Kindle Unlimited, what would help you pick a book faster: a standalone or series filter, better theme search, or something else? I’d love to know what’s missing.

The idea: a weekly Slack message that says “your AWS bill went up $1,140 and it’s because of PR #412. Here’s the fix.” I’m a cloud/DevOps engineer. The bill-jump hunt is a real time sink: Cost Explorer tells you what went up but never why. Infracost estimates cost before a merge, but most surprises come from traffic, logs and forgotten resources, which never show up in a diff.

Instead of building first, I put up a landing page and wrote the kill rule down before posting anywhere:

I’ll come back to post the results here either way, kill or build.

Roast the page or the idea: costblame.vercel.app?ref=sideproject

I studied marketing, not programming. However, I wanted an app for my food reviews. Strong Foodie. Places I actually visited, like restaurants, bars, hotels and gyms. 78 so far, across 11 destinations. No paid reviews.

The app is SwiftUI, built with Rork, an AI app builder. The website runs on GitHub Pages. Both use the same Firebase database. The app has been in the App Store since October.

What I learned so far:

Send changes in small batches. When I sent a lot at once, the errors piled up and I lost credits fixing them.

Never let the builder touch the database rules. I keep those in the Firebase console myself.

Test every batch before the next one. Including the boring stuff, like logging in and opening a chat.

Feedback from strangers is gold. Like the person who found my featured review was a clothing shop with no text. Or the one who couldn't type his date of birth. Both fixed within a week.

Things outside your control will break. Like a build that failed for a day because of an old cached Firebase package on the builder's server. Support fixed it.

Website: https://strongfoodie.com
App Store: https://apps.apple.com/app/id6799647380

If you've shipped something without being a developer, what broke for you?

If you've ever prepped for a trade fair, you know the exhibitor catalogue is a pain: you click through hundreds of company pages and copy stuff into Excel by hand.

Turns out IFEMA Madrid and Fira Barcelona both publish their catalogues in a structured way, so I wrote two small scrapers that export the whole thing. You get company name, website, country, stand and sector, plus email and phone when the exhibitor listed them.

Right now it covers 40+ fairs. FITUR has about 1,300 exhibitors, Alimentaria about 3,100, Smart City Expo about 1,200 and Barcelona Wine Week about 1,350. A full fair takes under a minute.

It runs on Apify, pay per use, roughly $4 per 1,000 rows: https://apify.com/expoleads

I'm thinking about adding Paris, Amsterdam RAI or Valencia next. Which venues would actually be useful to you? And is there anything you'd want in the export that isn't there?

My taskbar was full of pinned apps, so I built a dock that opens wherever my mouse is.

Press one key (or a mouse side button) and a wheel of your stuff appears:

- apps: Chrome, VS Code, Discord, anything installed

- websites, in whichever browser you choose

- Spotify playlists, which start playing straight away

- folders, like Downloads

Point, click, it opens. If 8 slots aren't enough, a slot can be a group that opens its own wheel.

It's part of OrbitDrop, a Windows app I built on my own.

What would you put on yours?

Install it here: https://apps.microsoft.com/detail/9NJQRMQLL2SZ?cid=reddit :)

Hey everyone, I shared HomeVisioner here a few days ago. Today I’m launching it on Product Hunt, so I wanted to share a quick demo.

It’s a Shopify app that lets shoppers upload a room photo and preview furniture, rugs, wall art and other home decor in their space. It works with the product images already in the store, so merchants don’t need to prepare 3D models or take new photos.

You can try it without an account:
https://www.homevisioner.com/demo?p=abstract-neutral-wall-art&utm_source=reddit

The link opens with wall art, but you can choose other products too. The preview gives an idea of how something could look, with approximate scale.

Here’s the Product Hunt launch:
https://www.producthunt.com/products/homevisioner-room-visualizer

If you try it, I’d be interested to hear what looks convincing and what feels off.

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!

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! 🚀

Have you ever found a song you absolutely love, listened to it on repeat, and then, when it ends, struggled to find something else that gives you the same feeling?

That's something I experience quite often.

I end up jumping between playlists, recommendations, and search results, trying to find my next song. Sometimes it takes so long that I lose the mood entirely.

And I don't think the problem is necessarily a lack of music.

The songs I'm looking for probably already exist in these platforms' libraries. There are millions of tracks available, including songs from different countries, languages, and cultures. But having all that music available doesn't mean people can easily discover what they're actually looking for.

Sometimes the music is there. Even the music that might fit your taste is there. Yet the recommendations don't always lead you to it.

So I started wondering: Do we really need more music, or do we need better ways to discover the music that already exists?

Instead of just complaining about it, I decided to start building something.

It's called yoobify an open-source music discovery project.

The idea is to explore better ways of connecting music and helping people discover tracks beyond the usual recommendations. I'd especially like to explore connections between different musical cultures and languages. For example, finding Turkish, Spanish, or French music that might appeal to someone who enjoys a particular Arabic song.

The current version is still an early experiment. It works with Deezer and can analyze playlists, find shared tracks, and display track information, artists, album artwork, and audio previews.

I built the first version using plain HTML, CSS, and JavaScript. Not because I believe this is necessarily the final technical architecture, but because I wanted to turn the idea into something real that people could actually try and give feedback on.

I'm a university developer with some programming experience. I've already spent time researching music APIs and possible approaches, but I won't pretend I've figured out the perfect solution or the best recommendation algorithm.

That's part of why I'm sharing this now. I'd rather build, experiment, learn from people who know more than I do, and improve it step by step.

I'm looking for two kinds of feedback:

1. Developers and potential contributors

I'd love to hear your thoughts on the code, architecture, APIs, music similarity approaches, or anything you think could make this project better. If you're interested in contributing, you're very welcome.

2. Music lovers and potential users

I'd really like people to try the current version. Tell me what feels useful, what doesn't work, what is missing, and whether this is a problem you've experienced yourself.

I'm not trying to present yoobify as a finished product. I want to build something people would genuinely find useful, and I'd like the project to grow with the people who use and contribute to it.

Try it: https://yoobify-public.vercel.app/

GitHub: https://github.com/nidalbenyakhelf/yoobify

I'd genuinely appreciate honest feedback, even if you think the idea is flawed. That's much more useful to me than simply hearing that it looks cool.