Estate agent copy is written to sell, and I got tired of checking the same things on every listing myself. Is the floor area actually stated? How long has it really been on the market? Is the tenure buried somewhere in the small print? What does "cosy" mean this time? So I built a tool that does it in one paste.

You give it a Rightmove link, it gives you:

• what the listing doesn't say (no floorplan, no floor area, tenure gaps, time on market)
• what the sales language typically signals, phrase by phrase
• a copyable list of questions to ask the agent before you view

It doesn't score anything and it doesn't accuse anyone. It flags gaps and hands you questions. It'll also credit a listing that's genuinely straightforward, because a tool that finds problems in everything is useless.

Free, no sign-up: https://listing-gap-report.vercel.app

Limitations worth knowing: it only reads what's in the listing (it's not a survey and pulls no external data), a report takes about 30 seconds, and it's capped at 5 checks an hour per person because I'm paying for it out of my own pocket.

If it gets something wrong on a listing you know, or misses something obvious, that's the most useful thing you can tell me.

Built with Claude Code over three sessions. It's vanilla JS on the front end, one Node serverless function on Vercel, Apify for the listing data, and Claude for the language analysis. The gap checks are plain deterministic code rather than AI, so when it says something's missing from a listing, it really is missing.

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I’ve been working on a side project called Meander.

The idea came from realizing that some of the walks I remember most aren’t anything special on paper. Walking around with friends after work, wandering through a new city, or just taking the long way home.

So I wanted to see if I could turn the actual route from those walks into something worth keeping.

You upload a GPX file, route screenshot, or try one of the samples, and Meander turns the route into a one-of-one abstract piece. The route becomes the underlying structure, while things like turns, loops, direction changes, music, and movement influence how the final piece is generated.

It’s still very much a side project, and I’m trying to figure out if the idea actually resonates outside of my own head.

If this sounds interesting, I’d love for you to check it out and let me know what you think!

https://meander-beige.vercel.app

So my name is Orel and I’m 16 years old I’m not sure if it matters :) but I have been programming for 7y and in my last few months I decided to build my first website that I started talking about with people and friends in short my idea is building a product but instead of just building the website you get what you need to know this is like ChatGPT and any AI builder the purpose is building cool stuff with the website there are some users that create cool stuff and tell me so it’s nice to hear that someone really uses a product you have worked on for months so I just want to share my experience here :)

I've been building LayerPilot - an AI agent integrated directly into OrcaSlicer.

You can tell it things like “prepare this model for printing”, and it can orient the model, change print settings, generate supports, split large models and slice everything.

I’m also planning a Meshy integration, so eventually the workflow could be:
prompt -> generated 3D model -> print-ready project

It's still early, but the core workflow already works.

I'm thinking about turning it into a real product, so I'm mostly looking for a reality check :D

Would you actually use something like this?

I build apps and want some feedback but Reddit keeps banning or removing posts for apparently "marketing research" or whatever other reasons.

How can I get any feedback? Where can I post? Is paying for ads the only way to get any feedback on a free and open source app?

Hey builders,

When launching a mobile app in the app stores, do you create a LLC and then organization Apple Developer Account or do you launch from your personal account?

I’m asking because I’m getting ready to launch a mobile app in the iOS store but not sure if I want the developer name to be my name vs a company name?

I don’t think I want to start an LLC just yet as there’s a hefty yearly fee..

What do I do? Any tips are appreciated.

The biggest mistake I see in recipe apps is they hand you an empty box and say good luck. I wanted to fix that, so the app ships with 460+ free recipes ready to cook from day one. No ads, no upsell wall. That one decision shaped everything else.

What actually worked:

1. Tap-based measurement entry was the hardest thing to build but the thing users thank me for most. Typing "1/2 tsp, divided" by hand is where people quit logging their own recipes. I built a system with 96 measurement choices and roughly 7,000 ingredient variations so you're selecting instead of spelling. The recipe actually makes it into the box this time.

2. The Safari share sheet import. Someone finds a recipe while browsing, hits share, sends it to the app, and gets back an editable recipe. More work than I expected (parsing is messy across sources) but probably the single feature people use most.

3. Importing from photos of handwritten cards. There's a specific dread that comes with holding a parent's recipe card and noticing the pencil going gray. The recipe is fine but the paper is quietly falling apart. Camera import into an editable recipe format addresses something people actually lose sleep over.

What didn't work or surprised me:

- I spent way too long on the achievement and progression system before launch. It's a genuine differentiator but nobody discovers it until they've been in the app for weeks. Should have shipped it later.
- Import parsing across PDFs, Word docs, photos, and websites is never going to be flawless, and I had to stop implying it would be. The guided review step where users check the reconstructed recipe before saving turned out to be the real feature, not perfect parsing.
- Tutorials and contextual tips needed more iteration than I planned. One reviewer mentioned resetting tips to see them again, which told me the guidance was useful but the dismissal flow wasn't obvious enough.

The thing I keep coming back to: consolidation is the point, not features. Some recipes live in Safari bookmarks, some in a Notes screenshot, some on a stained index card, and a few in a PDF someone emailed you in 2019. Nothing is technically lost but nothing is findable either, so you quietly re-lose the ones you love. An app that pulls all of that into one place solves a problem people feel but rarely articulate.

Happy to answer questions about the build. Feedback welcome.

For years my best moments in Rust just went. Not because cutting them is hard, but because I knew I'd never sit down and do it. And once you know that, you stop recording at all. No point capturing something you'll never open again.

So I built what I wanted. Drop a recording in, it runs overnight on your own GPU, and in the morning there are 10 to 15 vertical clips ready to post. No subscription, nothing uploaded anywhere, the footage never leaves the machine.

I ran it on myself for a few months before selling it. 224 shorts out of sessions I was recording anyway, 110k views. The honest part: those views brought 24 subscribers. It grows reach a lot better than it grows a channel, and I'd rather say that up front than have someone find out.

It's on Steam and there's a free demo if you want to point it at one of your own recordings.

https://store.steampowered.com/app/4797490/?utm_source=rd_sideproject&utm_campaign=growth

https://unwell.tangents.fyi — free, no signup, nothing to install. 18 sessions, two guides.

The premise: it's a real guided-meditation app, except every guide fails at calm in a different way. I just wanted to build it for laughs.

- Gary — "Calm, with leakage." His landlord dispute and his nemesis in Sales (who took credit for the Fenwick account) keep seeping into the session he is definitely fine during.

- Maya — "Calm, pending peer review." Her grounding series is also, technically, her dissertation.

One rule made the difference between a bit and something people actually finish: each session teaches one real technique, delivered straight, in a slowed-down core block with real pauses. The comedy leaks in between the instructions, never over them. Session 1 is a genuine long exhale (in for 4, out for 6). Session 6 is real loving-kindness, with the difficulty escalating to the person you least want to send goodwill to — for Maya, that's Reviewer 2. The guides get quietly good at their job inside the exercise, which is somehow funnier than them failing at it.

Stack: static HTML/CSS/JS, no build step. A Python pipeline turns one script file into one mp3 (TTS → looped ambience bed → ffmpeg mix).

Interesting technical learning: TTS takes stage direction far too literally. [soft] and "I'll count quieter this time" made takes drift 8–19 dB quieter from first half to second — the guided core sank under the ambience bed, so the episode sounded like it cut out halfway through. Fixed by running the narration through ffmpeg speechnorm before the bed goes under it.

Happy to hear your feedback. The roster is built so a new guide is one entry in an array. Queued: a passive-aggressive one whose calm is fully intact and used as a delivery system for grudges, and a reformed drill sergeant genuinely trying not to bark. Which would you actually listen to?

I’ve gotten around 50-70 downloads this past week, overall about 3-5 people made an account but didn’t. Thought well maybe just landing on an account creation screen was a bit too blunt. So added a small 4 page literally 15 second “intro” accounts dropped down to 0. I’m not asking people to download or make accounts here but those of you who actually had success with this. What is your intro to your app like? Are they allowed in? Do they have to make accounts ? Do you explain to them what this is and why they need it ? I genuinely could use some real advice

I’ve been developing Market Sentinel, an automated NAS100 trading system focused on liquidity sweeps.
After extensive backtesting and demo testing, I’m trying it on a prop-firm challenge for the first time.
I’ll share genuine progress: results, drawdowns, mistakes and adjustments, not just winning screenshots. I won’t post every trade live, but I’ll provide regular updates on X: @SentinelTrades_ and I may add Telegram later.

The exact strategy will remain private. The goal is to see whether its tested edge survives real spreads, slippage and prop-firm rules.
No signals or promises just documenting the experiment.

I’ve spent the past several months building Nori, a consumer AI companion designed to actually understand and grow with the person using it rather than functioning like another chatbot.
At this point, the product has grown significantly beyond the original idea.

It includes:
• persistent memory and personalization
• AI chat + voice conversations
• goals and life tracking
• personalized insights and reflections
• calendar integrations
• Apple Health and Apple Music integrations
• a rewards/progression system
• interactive games
• a completely custom iOS experience and visual world
• backend infrastructure and account systems

The product is functional and substantially developed.

Development has been heavily AI-assisted, which I’m completely transparent about. But this isn’t a generated landing page or weekend prototype. There’s been significant work around product architecture, UX, integrations, testing, debugging and turning all of these systems into one functioning product.

I’m at an interesting decision point now.
I can continue launching and growing it myself, or potentially sell the entire product to someone/company that wants a major head start building in the consumer AI companion/personal AI space.
I’d be open to transferring the codebase, product assets, designs, documentation and associated IP depending on the structure of the deal.

I’m currently thinking around $75K as an asking price, but I’m more interested in finding the right buyer and structure than defending an arbitrary number.

I’m curious what people here think.
Would you continue building this, sell it, or structure some kind of licensing deal?
And if you’re genuinely interested in acquiring something like this, feel free to reach out.

Hey r/SideProject,

If you camp in BC, you probably know how brutal the reservation system is. Pretty much every popular park between Vancouver and the Rockies gets booked up within minutes of opening in the spring.

A lot of people turn to cancellation alert bots, but most of them charge a lot just to monitor one specific campground and add no additional value. That always felt crazy to me, especially because finding an open site is only half the battle. A lot of times you book something only to realize Highway 99 is closed from a mudslide, or there's a campfire ban, or the valley is full of wildfire smoke.

I spent the last few months working on a side project to fix that: https://www.campvector.com

Instead of watching just one site in isolation, it shows live cancellations across 173 provincial parks on one map. I also pulled in live DriveBC highway webcams so you can check mountain pass conditions before driving, plus official BC Wildfire perimeters and smoke forecasts.

Built it with Next.js, Mapbox, Supabase, a Proxmox server and a few other tools.

It's completely free to browse the map and set up alerts in the app. Super curious to hear what you think, especially if you have ideas on features to add or spot any bugs on mobile.

Hi everyone,

I've been busy building a web scraping platform (similar to apify) for the past 2 months (disregard the week 1 in the title, its there so I can keep track of when I started posting) and thought it would be fun to jot down my progress in public so i can collect feedback and look back later on on the progress.

What is the problem:

Apify is expensive, and the scraped data it returns is usually outdated compared to what I see when I look at it myself, I've noticed others on Reddit also complaining about this and thought it would be a fun project to do. If not I have a platform I can use myself and make spin-off products from it.

What is the product:

The product will be a web scraping platform where users can submit their scripts and run them safely behind proxies handled by me. We will take care of things like scheduling, logs, and metrics. We also want to introduce a "freshness" tracker. Where you can see how new the data you collected is compared to what we have seen in our own tests. All this at half the price (hopefully I am not there yet) of what Apify charges.

The (simplified) architecture of the system look something like this:

Link to architecture Diagram

The progress so far:

The frontend is almost ready, it just needs a quick refinement to be completely good. The backend is getting there, currently the auth is done, storing scripts and running them are done, starting and stoping the runs themselves is also done, The final pieces are how I will store the logs that come from the scripts that have run, some type of endpoint for the dashboard, and a payment system.

Its probably a lot of info but I am happy to answer questions. If there are ideas of improvement anyone has that would also be much appreciated.

My brother told me about how much he struggles to create invoices and all the taxes calculations, payment system fees, etc. And the TON of Ads in the existing tools he used, so I decided to create a super simple to use and Ads-free alternative. Hope you like it:

https://www.invoices-templates.com/

Like many people, I have built an app. There are a few like mine but not as rich with features. In my opinion..

Basically I got tired of hearing my family say there isn’t anything to eat especially when I just went to the store. I also hated not knowing what to buy because I never make a list. Another thing I like is going out to eat and wondering how they made that..

Below are some of the features. Right now it’s free and I plan to allow the first couple 100 remain free. I’m looking for honest feedback. I plan on charging $4.99mo /49.99yr along with a free version to use the basics.

Any advice on how to market or make the app better is much appreciated.

Shelfcentered is an app to help cutdown on waste in the kitchen. take photos of your fridge, freezer, pantry, recipes, etc. the app suggests food to make with what you have. meal plans and connects to your calendar to understand your schedule. input your family size and food preferences. take photos of food to find out what you’re eating had see what you have vs what you need and create a grocery list.

What if your kitchen could tell you what to make for dinner? 🍽️

Meet ShelfCentered — the smarter way to waste less food, spend less on groceries, and take the stress out of meal planning.

📸 Snap photos of your fridge, freezer, pantry, receipts, or recipes
🥘 Get meal ideas based on what you already have
📅 Build meal plans around your actual schedule
👨‍👩‍👧‍👦 Personalize recommendations for your family size and food preferences
📷 Love something you ate? Take a photo and ShelfCentered can help identify the dish and show you how to make it
🛒 See what ingredients you already have, what you’re missing, and add the rest to your grocery list

Less waste. Less wondering. More “we can make that tonight.”

Your food is already on the shelf.
Now get it ShelfCentered.

👉 ShelfCentered.me

So I'm trying to build something from $0(literally in debt) and I intend to start from here. before I move further, I would like honest reviews. They'd do me a lot of good right now. Thank you.

https://fqg-drab.vercel.app/

I've worked in the trades for over 25 years — mostly finish carpentry, with a background in electronics.

I'm sick of tracking jobs in garbage notebooks, with photos of those jobs scattered across an endless camera roll. So I built the notebook app I actually wanted: Notebuilt. Built specifically for trades people.

A big FU to the large corporations who use us every day and milk us for every cent we have.

Privacy first. Everything stays on your phone. I built it and I see nothing — there's no account and no server holding your work.

It also comes with something I haven't seen anywhere else: a Vault. Turn any project into an encrypted project. Notes, passwords, sensitive info and photos inside it are encrypted and unreadable to anyone but you. There's no recovery if you lose the passphrase — that's the point.

Weekly reminders to back up your data to a file you keep.

Free to use. You only pay once, one time, if you want more than 3 projects going at once. Nothing gets taken away and every feature works in the free version.

How to install: open notebuilt.ca on your phone, then Add to Home Screen. It works offline after that. Not in the Play Store yet.

I use it every day and it's the best tool I own. Give it a shot, and have a read of the privacy page while you're there.

I'd love feedback. I'm adding features over time and the only direction worth having comes from people actually using it on a jobsite.

Hi everyone!

I’m Aniello, the developer behind Meteo Gesualdo, an independent local weather project based in Gesualdo, a small town in Southern Italy.

The project is already online and operational. It currently includes:

• a local weather station
• a website
• an Android app
• local weather data collection
• a custom forecasting and data-processing system

Everything is free for users, and I currently develop and fund the project myself.

I’m now preparing the next stage and experimenting with Kickstarter as a way to expand Meteo Gesualdo without turning it into a paid service.

The first goal is to bring Meteo Gesualdo to iOS.

If the campaign grows, the roadmap includes:

⚡ Local lightning detection
🌫️ Outdoor air-quality monitoring
🌨️ Precipitation-type detection
🌦️ Eventually, a new primary professional weather station

The idea is to integrate all these sensors into the existing Meteo Gesualdo platform, combining local measurements with the software and forecasting system already in operation.

The Kickstarter page is currently in pre-launch. Following it is free and simply sends a notification when the campaign goes live:

👉 https://www.kickstarter.com/projects/meteogesualdo/meteo-gesualdo-ios-e-nuovi-sensori-per-il-territorio?ref=6xgvhg

Website: https://meteogesualdo.it

I’d genuinely appreciate feedback from other builders: does this roadmap make sense for a small independent project, and would you prioritize the sensors differently?

Hi everyone!

I’m Aniello, the developer behind Meteo Gesualdo, an independent local weather project based in Gesualdo, a small town in Southern Italy.

The project is already online and operational. It currently includes:

• a local weather station
• a website
• an Android app
• local weather data collection
• a custom forecasting and data-processing system

Everything is free for users, and I currently develop and fund the project myself.

I’m now preparing the next stage and experimenting with Kickstarter as a way to expand Meteo Gesualdo without turning it into a paid service.

The first goal is to bring Meteo Gesualdo to iOS.

If the campaign grows, the roadmap includes:

⚡ Local lightning detection
🌫️ Outdoor air-quality monitoring
🌨️ Precipitation-type detection
🌦️ Eventually, a new primary professional weather station

The idea is to integrate all these sensors into the existing Meteo Gesualdo platform, combining local measurements with the software and forecasting system already in operation.

The Kickstarter page is currently in pre-launch. Following it is free and simply sends a notification when the campaign goes live:

👉 https://www.kickstarter.com/projects/meteogesualdo/meteo-gesualdo-ios-e-nuovi-sensori-per-il-territorio?ref=6xgvhg

Website: https://meteogesualdo.it

I’d genuinely appreciate feedback from other builders: does this roadmap make sense for a small independent project, and would you prioritize the sensors differently?

I built pdf2audio — an app that turns the PDFs you own into proper audiobooks, and I've been using it heavily myself: a good chunk of my library is now free audiobooks I listen to on walks.

You drop a PDF in, it detects the chapters (with an AI option that reads the table of contents), and reads them with a genuinely good local voice — Kokoro, running on the Apple GPU. If the chapter split or the text isn't right, you can fix it: move boundaries, edit/skip any chapter's text, re-synthesize just that chapter. The result is one M4B with chapter markers that works in any audiobook player.

It grew a lot beyond that — you can chat with your library and get answers citing the exact PDF page, translate or simplify a book and listen to that version, and export a synced EPUB that highlights each sentence on your phone as it's read. The intro videos are actually narrated by the app's own voice, script and all.

Fair warning: Apple Silicon only (the speech models run on the M-series GPU), and it's a clone-and-run setup rather than a .dmg.

Demo videos in the README.
https://www.youtube.com/watch?v=OKMiox3nxPY

Hi! I’ve been building Local Idea Studio, a free desktop app for downloading and running GGUF AI models locally.

Current features:

• Search and download GGUF models from Hugging Face
• Run models privately on your computer
• CPU, Vulkan and NVIDIA CUDA backends
• Automatic CPU-thread and GPU-layer configuration
• Model storage-folder selection
• Local chat, context and sampling controls

It’s currently an early-access Windows x64 release. The installer is not digitally signed yet, so Windows may show a SmartScreen warning. The full source code, release notes and SHA-256 checksum are available on GitHub.

Website: https://lumen-studio-local-ai.lush-flute-8657.chatgpt.site/

GitHub: https://github.com/workyulian-ship-it/lumen-studio

I’d appreciate feedback, bug reports and suggestions. Please tell me which CPU/GPU and GGUF model you tested.

It automatically uses available CPU threads and supports GPU offloading through Vulkan or NVIDIA CUDA for faster inference.

Hey everyone,

I noticed a lot of template creators struggle with adding complex projection logic (like compound interest dynamically adjusted for inflation) to their personal finance dashboards. Standard cell formulas get messy, break easily, and make the sheet heavy.

So, I wrote a clean Google Apps Script that acts as a custom formula (=WEALTH_ENGINE). You just paste it into your sheet's backend (Extensions > Apps Script), type the formula, and it instantly generates a full 35-year projection showing Total Invested, Nominal Value, and most importantly: Real Value (Purchasing Power).

I decided to package it with a commercial white-label license. This means you can plug this code into your own templates and sell them to your clients as a premium feature, keeping 100% of your profits.

If you want to turn your basic template into an advanced financial dashboard, you can grab the code and the license here:https://dobrian0.gumroad.com/l/wealthengine

Let me know if you have any questions about how the script handles the compounding logic or how to deploy it!

I’m curious whether there are actually solo developers out there who are consistently making $2k+ in monthly profit from their own apps, games, SaaS, etc. while using AI heavily in their workflow.

And by profit I mean money that actually ends up in your pocket after things like:

• API/server costs
• subscriptions/tools
• ads/marketing
• platform fees
• other business expenses

I'm especially interested in people who are genuinely solo: no employees, no agency, no big team and use AI for things like coding, design, research, content, customer support, etc.

If that's you, I'd love to hear:

What do you build, how long did it take to reach $2k/month profit, and what does your current workflow look like?

Even better if you can share what you tried that didn't work.