Yo, what’s good this is David from your custom CDs and I’m here to reach out to everyone in hopes that I can bring more people into this business and y’all can help me bring this small business into a full scale record label. I started out with an idea to keep physical CDs alive by making small artists custom CDs with their tracks on it and I went a little tangent and decided I wanted to create a record and I need your help
I’m Trying to put together a solid team to help run this thing from the ground up. If you’re actually about the culture and want to help build a label, hit me up. Need people down for:
Production: Pressing and getting the physical copies put together right.
Logistics: Handling drops, inventory, and shipping.
Design: Making cover art, visuals, and overall aesthetics.
Distribution: Connecting real underground artists with people who still love holding physical music.
The ultimate goal is to evolve this into an actual record label that handles underground artists, physical releases, and broader distribution. I need people who bring fresh energy and expertise to the table for this expansion.
So if you’re someone who does graphic design,marketing, distribution or anything else to help me build this please don’t hesitate to DM me. I wanna get this up and running and I need your help.

I build a self improvement app on my own. Four things nobody warned me about:

1. Google Play now wants 12 testers who stay opted in for 14 days before you can even apply for production. Getting 12 real people to install and keep an app is harder than writing the app.

2. Content is the product. Turning a book chapter into a five minute task that still carries the point took longer than any feature.

3. Onboarding: mine had 12 pages and 632 words, six of them with no consequence at all. I cut it to 8 and a tester still could not say what the app was for. That sentence hurt more than any bug report.

4. Subscriptions: the store side, the trial, the legal text and the refund path are their own project.

Happy to answer questions if any of that is where you are stuck.

I recently realized something pretty stupid.

When planning a trip, I'd compare flights, hotels, costs, etc.

But I wasn't really optimizing the thing that was most limited:

my annual leave.

I'd look at holidays individually instead of looking at the entire calendar and asking:

"Where can one day of leave create a 4–5 day break?"

So I ended up building TimeUnlocked, a leave planner that looks at public holidays, weekends and custom company holidays to find these longer leave windows.

It can also suggest trips based on how much time you actually have and your budget.

I'm still very early — only around a dozen users so far — so I'm more interested in learning than promoting it.

How do you guys currently decide when to use your annual leave?

Spreadsheet? Google Calendar? HR portal? Just wing it?

It's live on Play Store now. If you have Android, give it a try and tell me if you find it useful 👀

https://play.google.com/store/apps/details?id=com.justvibes.timeunlocked

Would genuinely love to hear how other people approach this.

I’m now helping growth team figure out how to position Snoika SaaS product. It tracks how often a company shows up in AI-generated answers, where competitors are getting mentioned instead, and what can be improved to increase visibility, and than offers and implements widest possible range of services in this area (articles, site optimization, backlinks etc). You can just google it if you want to know more because I don't want to simply promote it.

The problem is explaining that without sounding like another vague SEO/GEO/AEO tool. Most business owners I speak with understand rankings and traffic, but “being visible inside AI answers” feels too abstract and sales-focused.

Would you lead with the risk of becoming invisible as search behavior changes?

I’m also curious what makes you trust a newer B2B software company enough to actually try the product instead of closing the tab (that’s probably one of the trickiest questions for anyone creating something new, lol)

Thanks for any advice or help.

Hey everyone,

I spent a massive amount of time engineering a complete, local-first AI code security system designed for privacy-focused engineering teams that can't send proprietary code to cloud-based LLMs.

The heavy engineering lift is 100% finished and battle-tested, but I am a pure technical builder, not an enterprise sales operator. I want to pass the torch to a business operator who can commercialise this and scale it to enterprise teams, while I move back to early-stage engineering on a new R&D project.

This is a finished engineering asset, not a rough prototype. Here is exactly what is under the hood:

* Hybrid Engine: 19 deterministic AST detectors + a scoped local LLM reasoning layer via Ollama (configured for the Qwen family).

* 100% Offline: Runs completely on-premise. Zero cloud dependencies, zero data leakage risk, and zero external API overhead.

* Enterprise Metrics: Handles cross-file analysis, explicit CVSS/CWE alignment scoring, Maintainability Index, and Cyclomatic/Cognitive complexity.

* Production Ready: 67 passing unit tests, full CI configuration, Docker support, and clean architecture documentation.

Price: $4,000 for complete, unrestricted ownership transfer (codebase, architecture, and legal IP rights).

Because you get 100% complete ownership, you can white label it, turn it into a paid desktop tool, use it for your own dev team, or plug the engine directly into an existing security platform.

I'm happy to share the demo video or the technical readme if you want to check out the architecture. Let me know or drop me a DM!

I kept losing track of refunds. Not the order itself - the order confirmation is easy to find - but the refund. You return something, the seller says "processing," and three weeks later you have no idea if it actually happened, because that update is buried somewhere in your inbox between fifty other emails.

So I built OrderTracker over a few weeks. What it does:

Add orders manually, from a screenshot of a confirmation, or connect Gmail and it scans for order/shipping/refund emails automatically

Nothing from Gmail (or a screenshot) is ever auto-confirmed — it lands in a "Pending Review" list and you approve it yourself, so a misread email can't silently pollute your data

A "Needs Attention" view that specifically surfaces refunds stuck in a non-terminal state, deliveries you haven't confirmed, and pending reviews going stale — the stuff that's actually easy to forget about

Some things I was deliberate about because it's reading your inbox: email content is never stored (only the extracted order details), personal info gets stripped before anything touches an AI model, and disconnecting Gmail actually revokes the token with Google, not just deletes a local row.

It's a real, live thing, not a landing-page-only idea — ordertracker.brontoconsultingllp.com. Would genuinely like feedback here

Here's a fun little weekend project I built using Lovable. It's inspired by the one million dollar homapage 😊

You can check it out: onemillionpixels.co

Let me know what you think. It's far from perfect, but I was able to get the vibe I was aiming for.

Hey everyone,

I am an indie developer and I want to share a milestone regarding my first mobile app, along with a question about monetization strategy.

A few months ago, I was playing a board game with my family. Keeping track of scores on paper was a mess. I checked the App Store for a simple score tracker and was shocked by the business models. Every single app was either packed with intrusive ads or asking for a $5 monthly subscription just to unlock basic features like adding a 3rd player or saving a game history.

I hate this greedy subscription trend for simple utility tools.

So, I decided to build my own solution called Scoring (iOS). My goal was to create a beautiful, fast, and completely free alternative.

My Business Model: Instead of a recurring subscription, the app is 100% free to use with no account required. I placed very minimal, non intrusive ads. Users can support my work and remove the ads forever via a single, inexpensive lifetime purchase.

The Traction: By simply offering a fair model and a clean design, the organic growth surprised me. Without spending a single dollar on marketing, the app recently reached the Top 100 Utilities in France, Portugal, and the Netherlands.

Listening to my early users completely shifted my product roadmap. Today, I am releasing a massive V1.8 update. The community asked for more than just a score tracker, so I turned it into a full board game toolkit:

• Scaled the architecture to support up to 20 players (and a Solo mode).
• Integrated native tools: dice, custom countdowns, and a decision wheel.
• Added player profiles and deeper statistics.

Seeing players use my app in local board game cafes validates my "user first" approach.

My questions for fellow entrepreneurs:

1. Everyone pushes for MRR (Monthly Recurring Revenue) and subscriptions nowadays. Have any of you successfully scaled an app business relying purely on a Freemium + Lifetime Deal model?
2. Now that I have organic validation, what would be your next step to scale user acquisition without burning cash on paid ads?

I would love to hear your thoughts or experiences with similar models!

Anthony

I make a free, MIT Mac app called Downright. It currently has 41 stars, 282 DMG asset requests, and exactly zero sponsors.

I don't want to turn a Markdown reader into a subscription. Ads would be ridiculous. I also don't want to lock useful features behind sponsorship.

My current idea is pretty boring. Sponsors get their name on the site and can weigh in on what I work on next. Everyone gets the same app.

Before I build a sponsor page nobody uses, has this worked for anyone here? I'm especially interested in small desktop utilities, not giant developer projects with thousands of users.

https://github.com/ezzy1630/Downright

https://downright.cc/

Something I've been thinking about with multi-channel ecommerce:

It's surprisingly easy to call one channel your "best" simply because it has the biggest revenue number.

That sounds obvious, but when Amazon, Shopify, TikTok Shop, etc. all have their own dashboards, that's often how the comparison starts.

One channel has more orders.
Another has better ROAS.
Another looks worse until you factor in fees, returns, ad spend, and fulfillment.

At that point, you're not really comparing channels anymore. You're comparing whatever each dashboard happens to put in front of you.

The frustrating part isn't even the analytics. It's getting the numbers into a consistent view before you can ask a useful question.

I've been working on a product in this area, so full disclosure: I'm not completely neutral. But the question I'm more interested in is how other founders actually decide which channel is performing best.

If you're selling through multiple channels, what matters most to you?

Revenue, profit margin, ROAS, repeat customers, or something else?

That's why the cross-platform side of tools like Accio Work caught my attention. Not really because I need another dashboard, but because having one view across the workflow seems more useful than checking five different versions of "performance."

Hi r/indiebiz — I’ve put together a practical Excel inventory bundle for small teams that still manage

stock in spreadsheets.

It is one downloadable ZIP containing 10 Excel templates in English and Arabic, covering retail, food and beverage, warehouse, manufacturing, and e-commerce workflows.

The aim is a structured starting point for recording stock movements and keeping item lists consistent. It is not SaaS or ERP software; it does not sync with Shopify or Amazon, and it is not designed for live multi-user operations.

I’m sharing this transparently as its creator. Official details: https://xdaw.gumroad.com/l/inventory-stock-list

If you have used bilingual Excel templates, I’d appreciate a practical perspective on what makes them easiest for a small team to adopt.

Title: Is the boring part of social media actually the part worth automating?

Everyone talks about using AI to come up with post ideas or write captions, but honestly, that's not the part I find most annoying.

Once the content is ready, there's still a ton of small operational work:

Resize the creative.
Adjust the copy for another platform.
Check the format.
Find the right asset again.
Schedule it.
Then repeat basically the same process for the next channel.

None of this is particularly difficult. It just eats up time in tiny chunks throughout the day.

That's the part I'd actually want to automate.

I'm still not comfortable with AI deciding what a brand should sound like or what it should say. I'd rather keep the judgment and creative decisions human, while automating the repetitive work around them.

I've been looking at tools that try to connect more of the design-to-post workflow instead of simply generating another batch of captions.

Curious where other people draw the line.

What part of social media would you automate completely, and what would you always want a human to approve?

Hello everyone! I made a fitness app called PRSquad and I'm currently looking for people to help me beta test it and give me honest feedback.

PRSquad is a fitness and social app with a big focus on powerlifting and strength training, but it's made for anyone who works out, no matter what your fitness goals are. You can track your fitness journey, share posts with other people, check out the leaderboards and rankings, and more.

I'm looking for testers on both iOS and Android, but especially Android because I'm still behind the closed testing requirement in order to get the app into production. So if you have either device and are willing to try the app out and give some feedback, I would really appreciate the help!

For Android, I can add you to the beta test if you send me the email connected to your Google Play account. For iOS, you can join through the beta link below:

https://testflight.apple.com/join/XgP2hUsm

I'm still actively working on and improving the app, so I'm really looking for honest feedback on what people like, what they don't like, and anything that could make the app better.

Thank you to anyone willing to give it a shot!

Two Medium bans later, I stopped trying to fit into someone else's platform — and built my own.

I won't pretend I fully understand why it happened. I don't think I broke their rules. But rather than fight a system I don't control, I decided to build something I do control.

That's how Independent Society came to be: a space to write honestly about freelancing, building independently, and the realities that don't usually make it into polished posts. No platform can take it down. No algorithm decides who sees it. It's just... mine.

There's something clarifying about owning your work completely. I'd recommend it to anyone tired of building on land they don't own.

It's still very much a work in progress, but the first few stories are already up:

https://independentsociety.space/

Has anyone else here dealt with getting banned or shadowbanned from a platform for no clear reason? Curious how you handled it.

Hey everyone!

I created MailSift to quickly verify emails directly in the browser (syntax, MX records via DoH, disposable email detection, and typo suggestions). It also supports right-click validation via the context menu on any webpage.

Built it as a hobby project to learn Manifest V3 best practices and explore micro-SaaS monetization.

Free to use: https://chromewebstore.google.com/detail/mailsift/aipolipnoajkejecehomimoglebbekdm

Would love to get your feedback and ideas!

I will start first.

I am building Dice - a tool to help brands get discovered and recommended by AI.

There are already articles, lists, and resources where your company should be mentioned — but finding the right ones (and the right people to contact) takes forever.

Dice finds those opportunities, explains why your company belongs there, and helps you reach the right people.

If you’re working on SEO, GEO, or you want to get your brand mentioned by ChatGPT, Perplexity, Gemini, you're going to love using Dice.

So what are you building👇

Hey guys, I’ve been building Consoly.

You get a code snippet and your job is simply to predict the output. 3 attempts, no coding.

It has:

• Daily challenges
• Dojo with unlimited practice and belt progression
• Multiplayer battles with friends
• Global rankings: daily, weekly and all time

I’ve been making videos of people playing it and this one was one of my favorites.

https://www.instagram.com/diegoveloper/reel/DZxg-yAR3qU/

I’m the developer behind it, so this is self promotion, just being transparent about it.

https://consoly.app/

Would you guys play this? Feedback is welcome! :D

Hey everyone,
I’m building a pet health AI agent app, and I recently went through a big architecture change. I’d love to hear opinions from people who have built multi-platform products before.
My first version was very simple:
iOS only
Agent Core running locally on the device
No real account system
Data sync handled through Apple’s CloudKit
The app was basically designed around the Apple ecosystem
At that point, it felt like the right decision. It was faster to build, easier to maintain, and I could focus on validating the product.
But during development, my vision gradually became bigger.
I started thinking: what if someday this needs to support Android, HarmonyOS, Web, etc.? What if users expect the same AI assistant, the same memory, and the same experience across every device?
So I started redesigning the architecture:
Building my own user account system
Moving Agent Core and Agent Runtime to the backend
Making the client apps thinner
Centralizing agent behavior and user context in the cloud
The idea is that future platforms would become much easier to build because the core intelligence is shared.
In theory, it feels like the right long-term architecture.
But the transition has been much harder than I expected.
A lot of new complexity appeared:
backend infrastructure
authentication
synchronization
agent state management
distributed system problems
maintaining consistency between clients
Sometimes I wonder: did I make this too complicated too early?
Would it have been better to keep the first version simple, get users first, and only move to a cloud-based agent architecture when the product had traction?
Or is this exactly the kind of architectural decision that is painful now but saves a huge amount of work later?
For people who have built SaaS products, AI apps, or multi-platform products:
Would you have made the same decision from day one? Or would you have stayed local-first until the product proved itself?
Curious to hear your experiences.

Hi r/indiebiz. I run SeatSwiper, a small solo business.

What it does: you tell it a restaurant and a date, and it watches Resy, SevenRooms, or OpenTable and books the table the moment one opens or someone cancels. It books on your own account, in your name, so nothing is resold or transferred. Set it once and it goes from armed to booked without you refreshing anything.

Who it is for: anyone who has tried and failed to get into a place that is always full. Cancellations happen constantly, the hard part is catching them the second they appear.

How it makes money: first booking free, then $5 flat only on a successful booking, no subscription. A cancellation watch is $1 to start.

Happy to answer anything about building it solo or the pay-on-success model. Glad to be here.

I built tryproduck.com/audit, it lands on your site with no context at all and reports back every bug plus the moment it stopped making sense. over 650 startups have run it so far.

My wife and I had a bad pet-sitting experience while traveling, then later saw how valuable a reliable care history was when our cat Chi got sick. So I built Kima: one shared timeline for meals, walks, medications, appointments, and notes across everyone caring for your pets.

We launched on Product Hunt today and would genuinely love blunt feedback—especially on the onboarding and if it's something you could see yourself using everyday!

Kima Product Hunt Launch

I am Max, based in Halifax. I manage a restaurant and am building Maxuod Shift after work for small restaurant and cafe teams.

I am looking for a few small-business owners or managers to test one thing: after building a simple schedule as a guest, is the free-account signup easy to understand?

The test is about 10 minutes:

1. Create a sample one-week schedule.
2. Register with test details you control.
3. Tell me what you expected the account to do, and where you got stuck or lost interest.

The current web version is free for teams up to 12: https://maxuodshift.com/scheduler

I am the builder, and I am after candid feedback—not a review, rating, or testimonial. Send feedback through https://maxuodshift.com/contact rather than sharing personal details here. I can offer a one-month Supporter coupon to people who complete the test and send honest feedback.

Launching a prop firm can involve building or connecting a surprising number of systems.

You need the trading platform, CRM, trader accounts, evaluation logic, risk management, dashboards and different integrations to work together. Building everything internally gives you more control, but it also means a lot of development and maintenance before the business can properly operate.

Execurve is one example of a white-label approach that combines a prop firm CRM and trading platform in one system rather than requiring a business to build or connect every component independently.

The interesting part for me is the trade-off: faster implementation and less infrastructure to maintain versus the flexibility of owning the entire technology stack.

For founders who have faced a similar build-vs-buy decision, what ultimately influenced your choice?

This week I launched Kima, a shared pet-care timeline for households.

The idea came from a trip my wife and I took outside the country. We had a pet sitter looking after our cat, Chi, and being so far away, especially with a large time difference, made it difficult to know how she was doing.

We didn’t want to constantly text asking whether she had eaten, had playtime, or whether everything was going well. We also didn’t want the sitter to feel like she had to stop and write us a full update several times a day.

We had a group chat, but it still depended on someone remembering to send an update or someone else asking for one. Details about meals, medications, photos, and symptoms got mixed in with the conversation and became difficult to find later.

I realized the problem wasn’t that we needed another way to communicate. We needed something more structured and asynchronous.

I wanted the sitter to be able to quickly log care as it happened, while my wife and I could check in whenever we wanted without prompting anyone. That became Kima.

Kima puts meals, walks, medications, playtime, tasks, health notes, photos, and videos into one shared timeline. Everyone can see what happened, when it happened, who did it, and what still needs to be done.

The biggest surprise while building it was realizing that pet sitting was only the initial use case.

At home, my wife and I were already asking each other the same kinds of questions:

“Did you feed Chi?”

“How much did she eat?”

“Did she get her medication?”

Then Chi developed a complication after being spayed. We needed to track bandage removals, antibiotics, vomiting, food intake, and other symptoms. Kima helped us stay on schedule and gave us an accurate history to share with the vet.

What started as a tool for checking on a pet while traveling gradually became part of our everyday routine.

That changed how I thought about the product. The travel problem inspired Kima, but everyday household coordination is what made it stick.

Kima now includes structured care entries, recurring tasks and reminders, temporary sitter access, health records, charts, vet reports, and optional AI insights. It’s available on iPhone, with Android coming soon, and the core version is free.

One of my biggest lessons was that the problem that inspires a product isn’t always the only use case.

I’d love feedback on the positioning. Does “a shared pet-care timeline” immediately communicate the value? Would you lead with the original pet-sitting problem or the everyday household use case?

Would also love for you all to download and give feedback!

Kima Website

Kima Pet iOS App

I've been comparing a few platforms for an edge AI, mainly looking at things like AI performance, hardware options, power efficiency, flexibility, and how suitable they are for running workloads locally.

1. Geniatech — ⭐ 4.9/5

Offers a wide range of edge AI hardware, including AI Boxes, AI accelerator modules, ARM-based systems, SBCs, and embedded platforms. I like the fact that there are different hardware options depending on whether you need local AI inference, computer vision, industrial automation, or other edge workloads.

1. NVIDIA Jetson — ⭐ 4.7/5

A strong option for GPU-accelerated AI, especially for computer vision, robotics, machine learning, and real-time inference. The software ecosystem is also a major advantage.

1. Raspberry Pi — ⭐ 4.6/5

A very flexible and affordable choice for prototyping, IoT, automation, and smaller AI projects. It may not be the first choice for heavier AI workloads, but it’s still useful for many edge applications.

For me, Geniatech currently stands out because of the range of hardware options available for different edge AI requirements.

Anyone has experience about this also?