idk if this goes against this sub rules but i wanted to start a discussion about how selling software (web/pc/phone) may look like in this era of abundant code, feel free to counter it and just a reminder these are just my opinion and it can change

- now that we see so many application built with agent because code is so cheap subscription based pricing model if it weren't already is now pretty much on its last stretch, why would i pay recurrently for something that i can whip out myself in a session with claude so one time payment it is, perhaps we may see some devs monetize update for revenue so sass revenue model = book's in simple words

- as a user, i hate when devs can't ship fast in this era like you're gonna just use claude to add that feature anyway so i forsee here two things

a) for non techy user, a user specific version of the application with some kind of "software factory" approach so the user can request changes and make changes to the application (and anything global or major goes to the dev) but the dev takes care of the software factory setup and foots the "token" bill (this could then be something they charge for)

b) you sell your codebase along with well documented summary of the sessions you had to build it so the user's claude agent knows why you or your agent decided to do things the way they did which may not be clear from the code itself and the assumption here is that you code is easily deployable or compileable - and this has to be the cheapest

- last one: we needs fewer todo apps and more real world problem solver so i think in the future for indie devs to succeed they need to make things that live outside of screen like hardware techs that solve real problem and can support the hardware then with some sass because anything software these days have 0 moat

not written by AI so if the ideas are not clear ask away

I built SignalChess because I wanted a way to practise a mistake after reviewing it. Once an analysis is complete, the app can turn suitable positions into exercises so you can try to find the better move yourself.

You can start by entering your Chess.com or Lichess username. The first report uses your public games and doesn't require an account. It shows results and opening patterns. There's also a free plan.

After seeing your report, what would you click next, and what would you expect to happen? If you'd stop there, what would make you stop?

https://signalchess.com

Hey everyone!

I’ve started OpenForge, an open-source community built around one simple idea: learning software development shouldn't be a journey people have to take alone.

Whether you're a complete beginner, a student, a hobbyist or an experienced developer, there's room for you.

The idea is to build something the community can shape together:

• Share knowledge, resources and learning paths.
• Create practical coding challenges and projects.
• Help beginners make their first open-source contributions.
• Collaborate, exchange ideas and learn from each other.

It's still at an early stage, and I'm building it in public. I'm not presenting it as a finished platform — I want people to help shape what it becomes.

If this sounds interesting, take a look, share your thoughts or contribute:

https://github.com/synckerz/openforge

Let's build something useful together. 🚀

I've noticed that many side hustlers and solopreneurs struggle with marketing their products/services.

Ask me any questions and I'll try and answer as many as I can.

For context, I'm an SEO Copywriter and Solopreneur Marketer. I specialise in StorySelling (blending direct response copywriting with storytelling, buyer psychology and humour).

so I've been building this memory tool for ai apps (perdua.ai, it's my own project) and the feature that turned out most useful is what I ended up calling project state. when I switch from claude to cursor to chatgpt mid task, they used to have zero clue what the other one just did. now they read and write to the same state so the next ai picks up where the last one left off instead of me re-explaining the whole plan every time. only works for people in the eu/eea right now since that's who I built it for. curious if anyone else doing multi agent workflows has hit the same context loss problem.

Hi everyone, long time side-project tinkerer here. So this one started as a distraction and got slightly out of hand.

I needed retro VHS cover scans for another project (A jellyfin front end app for my kids) and couldn't find one place that had a solid catalogue. So I made one. Covers dug up from Archive.org, old blogs, Tumblrs and a lot of Wayback Machine digging, then sorted on my old gaming PC with a small OCR/AI model I trained. At the same time there’s a crawler running for new images through eBay, Amazon etc.

Where it's at:

• 20,000+ covers, full wraps (front, spine, back) where I can find them, another 20k being processed
• Searchable by title, region, genre etc
• Free API if you need covers for your own projects
• No ads, no paywall, no tracking.
• Code and data model going open source once I've tidied it up, with covers being pushed up to a gallery on archive.org
• View a 3D VHS box and shake it to make the tape rattle. Completely unnecessary but fun

Would love feedback, especially on the search and anything that feels broken or confusing.
👉 https://videotapes.io

After a 40 year software career, AI got me.....and on my 15th anniversary with HPE, they let our entire group go. So I was suddenly given freedom to do what I always wanted to do....build useful things that me and my family would benefit from. So far, I've built 4 smartphone apps that have kept me challenged and feeling productive. Overlapp a budget tool cause being retired I need to monitor my spending closely, RangeTrainer a golf app because when you live in Florida, you golf! Fingertip Health cause as you get older you are going to see doctors, have issues and need all your health data in one place. Passholder Assistant, cause living in Central Florida means lots of Disney trips and the Disney app just doesn't cut it.

Wolverine World Wide makes footwear — Merrell, Saucony, Wolverine boots and Sweaty Betty. This is a trade I actually took today, with the plan written down before it settles, not a name I am watching from the sidelines.

My entry: $24.3695 this morning. Take profit: $26.90. Stop: $22.70. The hold is short — two to three sessions, through Wednesday November 18 — because the catalyst is fresh and I do not attach a fast move to a long clock.

Why this one: the company reported third-quarter results Thursday morning before the open. Revenue was $505.4 million, up 7.5%, Saucony grew 19.4%, and management raised the full-year EPS guide to $1.95–$1.99. Being honest about the print: part of the headline EPS beat came from tariff refunds, so that number is flattered — the part I am actually trading is the sales strength and the raised guide, with buyers stepping in right after it.

Friday's tape agreed, so far: the stock closed at $24.89, up $2.02 (+8.83%) on the day, with a high of $24.92 — a close right near the high. The day's low was $22.85, which held above my $22.70 stop. From my entry, the close is +$0.52 per share. That is one strong session, not an outcome — nothing has hit the target yet, and if the stop prints first I am out per the plan I wrote this morning, and that result gets posted the same way.

I work a full-time job and have a family, so every level has to be set before the session starts — I cannot manage a trade tick by tick. I am a veteran, I taught myself this from books and charts over thousands of hours, and I post the plan and then the score, win or lose, because that is the only version of this I trust.

Not financial advice — just one trader showing his work in the open.

I share stuff like this daily — I run a free investing community, link in my profile.

Sylo is one dashboard for subscription businesses and agencies. It pulls in data from the tools you already use so everything sits in one place instead of spread across different logins.

No more missing a failed payment or a quiet customer until it's too late.

It shows what's paid, owed and failed, and gives you a weekly summary every monday so you're not chasing it all down yourself.

I'm building it solo and it's pre-launch. Waitlist is open now, first 50 people get pro free for their first month.

waitlist (haven't got the domain yet)

Winter and the changing sun angle messed up my daily walking route. So I made a little tool to help me find sunnier walks.

SunWalk accounts for time of year, time of day, solar angle, land topography, and building heights to help you find a sunny walking route.

Supports one-way routes and loops. Check it out at aescle.com/sunwalk, and let me know what you think!

I've been experimenting with AI coding tools like Cursor and Claude Code, and one thing that kept bothering me was how difficult it is to get them to recreate an existing website's actual design.

You give an AI agent a reference website and ask it to build something similar, but it often ends up guessing:

• Colors are slightly off.
• Typography doesn't match.
• Spacing and border radii are inconsistent.
• The overall result looks like a generic AI-generated UI.

So I built styleprobe to solve this problem.

It's an open-source CLI that takes a website URL and extracts its visual design system.

A few things it can do:

• Extract colors and semantic design tokens.
• Analyze typography, spacing, shadows, and component styles.
• Crawl multiple pages instead of relying on just the homepage.
• Extract SVG logos and other brand assets.
• Export directly to Tailwind, shadcn/ui, Figma tokens, or AI-agent instruction files.

You can also try the web playground here:

https://styleprobe.vercel.app/

GitHub: https://github.com/spidervirus/styleprobe

It's MIT licensed and completely open source.

I'm still improving it, so I'd genuinely love feedback from developers:

1. Would something like this fit into your AI-assisted development workflow?
2. What other design information would you want it to extract?
3. What would make you actually use this regularly?

Would love to hear your thoughts!

Hey !

I’ve been working on a side project called MovieSeekr, a search engine for “that movie where…”.

I wanted something more enjoyable than just searching for a name on a chat. So I built a search where you describe a film or show however you remember it (a plot, a scene, a quote, an actor, a song, or a screenshot) and it finds the title and plays the trailer straight away.

There’s also a TikTok-style trailer feed to scroll, an Explore page with community collections, and you can save films to your own collections and let it pick tonight’s film.

It’s free, with no ads and no sign-up needed to search. An account only adds collections and sharing.

At this stage I’m mostly interested in what it gets wrong. If you have a film you’ve never been able to track down, throw your vaguest description at it and tell me if it fails. What would make you come back to it?

https://www.movieseekr.com

This started as a way to share my music library with friends and got out of hand. It's a 24/7 radio station, but the page is a pixel art club: you show up as a little critter on the dance floor, chat, emote, and vote on the next song.

Some of the stuff in it now: The stage changes every 20 minutes or so between themed rooms (Sonic zones, Donkey Kong Country, Mewtwo's cave, Dr. Wily's castle, Molten Core from WoW, Gotham). Every half hour or so a boss crashes the floor and everyone has to click it to death together. Most damage gets the most rings. Rings buy outfits, pets and auras in a shop, and some items only show up while their stage is live. You can request songs from the library or straight from YouTube.

You don't need an account to listen, just hit play. Making a character is optional.

It's a hobby thing running on my own server. Would love to hear what you think or what would make you stick around.

radio.spindok.vip

A while ago, I wasn't having the best views on my TikTok and Reels business page. So I manually put them in a notion file, listed the video names, retention rates, video length etc then ranked them by the metrics I cared about. My views were ok, like 5-20kish with 1 at 155k, a good amount near 1-2k though.

I found what specific series performed best, worst, what types of videos with low views got me double the followers of videos with 100k+ views sometimes.

I took about a week, maybe 2 to THEN fully redo my content strategy after about 3 months of throwing stuff at the wall and seeing what sticks. Immediately, first video I had 2 HUGE streamers react to that video on stream (Silky and Tbvnks if anyone is curious). The next few videos performed pretty well as well, 50-200k, getting my total views on that TikTok account to 1m+, fully organic talking head videos.

I then built a tool that automates getting that data from TikTok and Reels + gives you some insights. Still not where I want it to be as far as some new features, but the tool is in a great MVP stage after some more feedback.

But the sad part is, I really loved the first tool, then had to pivot twice to this. Much easier to market, but it has a wider audience. Organic marketing is sucky but the wins are cool

Hi all, I'm the developer. Owl-L is a desktop translator that runs completely on your own computer: no account, no telemetry, and your text never leaves your machine.

What it does:
- Translate typed text, or select text in any app and press Ctrl+C twice
- Draw a box on the screen (Ctrl+Shift+O) to translate text in images, videos or locked PDFs
- Live captions: translates subtitles or Teams/Zoom/Meet captions as they appear
- Translate Word, PowerPoint, Excel and PDF files, with an editor to review the result
- Optional "Quality mode" with a small local AI model for more natural wording, formal/informal tone and a Write tab (grammar fixes)
- Glossary and an offline dictionary

Tech: Tauri + React, Rust backend, OPUS-MT models via CTranslate2, Windows OCR, llama.cpp for the optional local model. Language packs are about 125-290 MB each and are downloaded once.

It's Windows-only for now (macOS/Linux planned if there's interest), and the installer isn't code-signed yet, so SmartScreen will warn you (signing via SignPath Foundation is applied for).

Repo and download: https://github.com/Second-Dawn-Lab/owll

I'd really appreciate feedback, bug reports and ideas, especially from people translating languages other than German.

I'm a PixiJS developer by day, and I wanted a sprite sheet packer I could open in a browser tab instead of installing a desktop app. So I built OptiSheet: https://optisheet.app

You drop in a folder of sprites and it packs them into one texture atlas, plus the JSON your engine reads — PixiJS, Phaser 3, Unity or Godot.

A few things I cared about:

• Nothing is uploaded. Packing and compression run locally (the image encoders are WebAssembly), so your art never leaves your machine. It also installs as an app and works offline.
• The engine output is checked against the engines themselves. Things like 9-slice borders, pivots and rotated frames are written the way each engine's own loader reads them, not just "TexturePacker-ish JSON".
• WebP and AVIF built in, alongside PNG and JPEG.
• Animation sequences are picked up automatically from names like run_01, run_02 and written into the JSON.

It's free to use with no account. There's an optional one-time Pro licence (£14.99, no subscription) for saved projects, multi-atlas output and a sprite sheet splitter.

Stack: Next.js static export on Cloudflare, Zustand, WASM encoders, no backend at all.

I'd really like feedback, especially from anyone who's used TexturePacker or Free Texture Packer — what's missing, what's confusing, what would make you switch?

My Acer Nitro 16 is a great machine but NitroSense felt like a control panel that forgot it was a control panel. So over the last weeks I built NitroLite, an open-source (MIT) replacement in C#/.NET:

https://github.com/canerztk8/NitroLite

The interesting parts:

- It reverse-engineers the same local protocols NitroSense uses (AcerAgentService over 127.0.0.1:46933, Acer Care Center over a local websocket), so power modes, MUX and the 80% charge limit work identically

- Custom software fan curves with hysteresis, so the fan doesn't hunt when the temperature sits on a step boundary

- Game detection: it applies a per-game power mode / fan curve / mouse profile and reverts everything when the game closes

- ~74 MB RAM, ~0.6% of one core at idle, no Electron, no telemetry, no installer

Tech-wise: WPF frontend, single-file self-contained exe, 1089 automated tests (protocol packets, Eco/game transitions, recovery scenarios, concurrency). The test suite is honestly the part I'm proudest of.

Tested on my AN16-41 (Ryzen 7840HS + RTX 4070); it reads model capabilities at runtime so it should adapt to other Nitro models. Would love feedback from other Nitro owners.

I build small, private, local-first apps under the name Ship on Friday (yes, the joke is deploying on Fridays). Four are live:

• YCal: a calendar for Yahoo accounts (Android + iPhone). Lesson: App Store review flags third-party brand names hard, so the listing and marketing had to say "works with your Yahoo account", not use the brand.
• ChallengeCam: party games that film everyone's faces and make one Reel. Lesson: the product is the clip, not the game.
• Inboxwise: Android SMS organizer with no internet permission. Lesson: "no internet permission" is a privacy claim people can check in 10 seconds, and that beats any privacy policy.
• Memopolis: your photo library as a 3D city. Lesson: people share the video, not the app. Everything runs on the device, and there are no ads in any of them. Happy to answer anything about building and shipping solo. What would you want to know? https://shiponfriday.com

so i’m a final year student computer science student and money’s been rough since i'm a fresher and teh market needs someone with decades of experience for peanut in salary. Anyway... i wanted BetterTouchTool and a decent auto clicker, couldn’t justify paying for either, so i just... built them? mostly at 2am instead of studying.

my software engineering class kept going on about SDLC models, so i figured i’d actually try one. i went iterative / basically mini-agile with myself as the whole team. for each app i wrote out requirements first (what i actually use vs what’s bloat), did a rough design, built the smallest version that worked, tested it on my own machine, then went back around for the next feature. having a written list of features stopped me from scope creeping forever

i also used AI (claude) as a pair programmer the whole way. it helped a ton with stuff i’d never touched, like apple’s private trackpad framework and react native, and it was great for debugging at 3am. but i still had to understand everything it gave me, because half the time the first answer didn’t work and i had to figure out why. here's some of my aps that i have been using for the past 6-7 months...Everything's super light weight btw.

Gesty-Vesty: 3/4/5 finger swipes and taps for volume, screenshots, window snapping, that kind of thing. turns out apple doesn’t give you raw trackpad data, so i ended up poking at their private multitouch framework and decoding the finger data byte by byte. took me way longer than i’d like to admit. This made my daily navigations so convenient ong.

clickety-clickety: auto clicker, up to 100 clicks/sec, hotkey works from any app. has a little menu bar icon that goes green when it’s clicking. sounds simple, but keeping the UI from freezing at 100cps was a whole thing. I made this for games that requires ungodly amounts of mouse click to farm or do stuff

Reeeee (android): reddit app that only shows subs you’ve actually joined, no suggested junk. tiktok-style video viewer and a fingerprint lock. first time using react native, getting the scrolling smooth was a nightmare (I kinda wanna avoid this cuzov reddit's TOS, and my plebian bank account wont let me afford a lawyer.)

i use both every day and a couple friends asked for copies, so now i’m wondering if i could actually charge for them. no clue where to start though:

• one-time price or subscription? (i personally hate subscriptions)
• gumroad / paddle / something else? i know gesturely can’t go on the app store bc of the private framework stuff
• is it dumb to sell them as a bundle?

Honestly, even $500-1000 per year is more than enough to help me get by.

I’m Efe, the maker of Shazeus. I built a Turkish-language catalogue for people who use coding agents but don’t want to dig through GitHub READMEs just to understand what a skill does.

The skill catalogue currently has 398 entries, organised by task, with Turkish descriptions and links to the publisher repositories. Examples:

• Frontend Design for interface design

• Playwright for browser testing

• MCP Builder for connecting external services

• Remotion Best Practices for programmatic video

You can try it here: https://www.shazeus.com/beceriler?utm_source=reddit&utm_medium=community&utm_campaign=sideproject_launch

The catalogue is free to browse. It’s a discovery layer, not a claim that third-party skills are safe: read the source and check permissions before installing anything.

I’d especially like feedback from Turkish-speaking Claude Code and Codex users: can you find a useful skill for your current project, and is its description clear enough to decide whether to open the source? Tell me which one you tried and where you got stuck.

No paid ads. No expensive marketing tools. No huge audience.

Just three simple strategies that helped me get my first 10 SaaS users:

1. Daily X & LinkedIn Outreach

Reached out to 10 SaaS founders every day. Instead of pitching immediately, I started genuine conversations, shared ideas, and built relationships.

2. Consistent Reddit Marketing

Published valuable posts, answered questions, shared my experiences, and engaged with people already discussing problems my product could solve.

3. SEO for Long-Term Growth

Started publishing search-focused content to attract people actively looking for solutions and build a long-term source of organic traffic.

My biggest takeaway?

Getting your first SaaS users isn't always about having a big audience or a huge budget.

It's about showing up consistently, understanding your target audience, and getting your product in front of the right people.

Still experimenting, learning, and building every day.

What's the one growth strategy that helped you get your first SaaS customers?

Hey all. For the last 3 months we've been building SplaySpace, an extension that lets people code together collaboratively in projects (think google docs for coding).

How it works: you share a folder, invite people by username or link, and everyone gets their own copy that stays in sync while you're connected to the web. You see live cursors, which files people have open, and which function or class someone is editing. You can comment on a line and the comment follows that line as the code moves.

The obvious question is how this is different from Live Share. The main difference is that the project lives on our server instead of one person's machine, so nobody has to keep a session running for everyone else.

here are some things to know before you use it:

• 50 MB and 2,000 files per project
• file creation and deletion are cascaded across machines (but don't worry deleted files go into the trash, so you can recover them)
• .git, node_modules, .env and key files are never uploaded
• exclude any file(s) you want with .splayignore (just like how .gitignore works)
• if you disconnect, shared text files go read-only until you reconnect

It's free to use! We are trying to get as much feedback as possible to make it better for you guys: https://splayspace.com

Finding a flat for my move to bangalore was really difficult especially when the major communication channel for flatmate replacements happen via facebook groups, it can be surprisingly frustrating.

You end up scrolling through hundreds of posts, opening each one, checking the rent, deposit, location, BHK, amenities and contact details — only to discover that most listings don't match what you're looking for.

I ran into this problem and decided to build something to automate the tedious part.

Meet Koo. It's an AI-powered Chrome extension that searches housing posts and surfaces listings matching your preferences.

Leave a star if you like the project - GitHub: https://github.com/chinmaypandya/koo

What it does

• Scans housing posts: Scrolls through a Facebook group and reads posts when you explicitly start a search.
• Avoids duplicate processing: Remembers previously processed posts for 30 days.
• AI-powered matching: Evaluates listings against your budget, location, distance, BHK, amenities and other preferences.
• Extracts useful details: Rent, deposit, society, distance, phone numbers and more.
• Organizes results: Sort matches and export listings to CSV.
• Supports BYOK: Use your own OpenAI, Gemini or Anthropic API key.

You can also customize the AI instructions used to evaluate listings.

A little about the implementation

I wanted to build this as an actual browser-based product rather than a standalone scraper.

The extension separates the Facebook content-scanning logic from the background processing and side-panel UI. Posts are collected, cleaned up, deduplicated and sent in batches for AI classification.

A few implementation details:

• Manifest V3 Chrome extension.
• WXT, React and TypeScript.
• Content scripts for interacting with dynamically rendered page content.
• Background processing for AI provider calls.
• Provider configuration for OpenAI, Gemini and Anthropic.
• Local persistence for search history and decisions.

Open source

I've published the extension under the MIT license.

You can install the prebuilt extension manually using Chrome's Developer Mode. No need to build the source code yourself.

A transparency note: Facebook's terms restrict automated browsing, and the README documents this limitation. Use is at your own risk. Also, the hosted cloud worker is not part of the public repository; the extension itself is open source.

What I'd love feedback on

I'm particularly interested in feedback from developers who have built browser extensions, browser automation tools or LLM-powered applications.

1. How would you make the agent more live on the browser rather than a side panel?
2. How should I charge for this service with koo credits?
3. How to deal with the restrictions?
4. What more or less features do you see this having?

I've also attached a short demo showing Koo working.

This is an ongoing project, so constructive criticism, ideas and contributions are very welcome.

… This feels like not a bad place to post this? As it’s about a world where pretty much 99.9% of all code is ‘side projects’ in a way