r/indie_startups

BloomDay has been live for six weeks. The garden — where you grow plants by completing tasks - was flat and lifeless. It looked like a spreadsheet with leaves.

Rebuilt it. Full 3D now. Users now have actual growth journeys, you watch them develop. Collections system so there are species worth hunting for.

185 downloads, 26 countries, 16 five-star ratings. Zero marketing budget.

The app is genuinely better now than when I launched it and I'm not embarrassed to share the link anymore.

https://apps.apple.com/tr/app/bloomday-tasks-garden/id6760038056

This is for everyone and especially for those who are stuck at 10-20 or 0 users and have no real feedbacks, i will review your saas in exchange i expect the same and this is for everybody

if anybody finds something interesting feel free to help and give a feedback to each other

i go first building tool for salespeople and agency owners to send a commitment before they send invoice or proposals and never get ghost again, this is the first ever tool to prevent ghosting

now your turn i'm curious

DocuScanr encrypts all your documents on your phone using AES-256. No cloud, no accounts, no tracking. OCR, PDF export, annotations, all processed locally. Here's the site with more details: docuscanr.com . Would love any feedback. Thanks!

No decks. No demo calls. No "we help companies leverage synergies."

Just: [Link] + what it does.

Scrap.io : Pull every business from Google Maps and turn it into a lead list in seconds.

Your turn. Drop yours below 👇

Hey r/iosapps,

I’m super excited (and a little nervous) to share my very first app with you all!

I built this because I always found it weird that most water trackers give you the exact same 2-liter goal whether you sat on the couch all day or walked 15,000 steps. Your body needs more water when you move, so I wanted an app that actually understood that.

I spent the last few weeks learning and building HydroBuddy AI. Here is what makes it different:

• Apple Health Sync: It reads your daily step count. The more active you are, the more it dynamically increases your water goal for the day.
• Weather Adjustments: If it’s a super hot or humid day, you can manually tap the weather icon, and it will boost your goal to keep you hydrated.
• The 'Buddy': I animated a little droplet character named Hydro who hangs out on your screen and changes his mood based on your progress!
• Widgets: Interactive Home and Lock Screen widgets so you don't even have to open the app to log your water.

App Store Link:https://apps.apple.com/us/app/hydrobuddy-ai-water-tracker/id6761210383

Pricing: The core Apple Health sync, dynamic goals, widgets, and the droplet buddy are 100% Free. There is an optional premium tier ($4.99/mo or $24.99/yr) if you want advanced heatmaps, smart reminder, AI insight and CSV data exports.

Since this is my first app, I would absolutely love any feedback you have on the UI, the animations, or the step-tracking math!

Is anyone else tired of AI ""presentation"" tools that just spit out ugly, uneditable markdown? I was just watching a demo of ""Monoslides"" on rednote (it’s a project from that 48h sprint in Shanghai) and I was ready to roll my eyes at another prompt-to-PPT generator. Then I saw how they actually solved the design gap and had to find the repo. It’s insane.

The core problem with normal AI slide generators is they produce garbage. They just ask an LLM to output markdown or basic HTML. If you want actual high-end aesthetics, like cinematic layouts that look genuinely designed by a human, a basic API call doesn't work. The agent needs a real environment to execute complex design operations and iterate.

So instead of building a normal frontend, this team (a veteran dev and a Gen-Z PhD) literally built a local sandbox. They shoved a lightweight Linux-like OS into the browser. Their runtime has a browser bash session, an observable in-memory file system, and node/npm execution.

If you look at the screenshot, the AI isn't some dumb chatbox floating over the UI. Its a 'prompt curator' docked on the side. You feed it the overall PPT prompt and instead of just spitting back text, the agent acts like a local operator. It reads the local file system, breaks your prompt into a task list, and executes tool calls physically inside that browser sandbox to manipulate the deck.

Because the file system is observable, the moment the agent modifies an asset or code in the sandbox, the UI updates instantly. Watching the raw dev logs of this was a trip—the feedback loop was so fast that people were literally suggesting design tweaks in the comments and the devs were having the AI execute them in the sandbox live. That’s the advantage of building in an environment that actually talks back to you.

Idk. Seeing hardcore infra and actual product taste combined like this is super rare. We usually get backend guys building highly functional but ugly tools, or design guys building beautiful but thin wrappers. Putting a literal OS in the browser just so the AI has a real execution environment to make aesthetic slides is definitely the exact kind of ""over-engineering"" the scene needs right now.

Anyway, this REDHackathon demo makes me realize the real moat right now isn't the AI model itself. It's building a serious local runtime for the AI to actually do work in.

Anyway, back to fighting with my Next.js middleware.

Shipping Forze in public. Here's the honest update.

What Forze is: You type a startup idea. It comes back with market research, brand identity, landing page copy, and a feasibility score. Under 10 minutes.

What's working:

• The core product works. People are using it and getting real output.
• Surgical editing just shipped — you can now go back and refine specific sections without rerunning everything.
• Document as prompt is live — feed it a business plan or rough notes instead of typing from scratch.
• Payments finally went live this week. Took longer than it should have.

What's not working:

• Vague ideas produce vague output. Still figuring out the best way to guide users toward more specific inputs without making the experience feel like a form.
• Distribution is harder than I expected. Organic reach on LinkedIn and X is slow at this stage. Reddit keeps shadowbanning new accounts. Working through it.
• I underestimated how much people want to be told their idea is good rather than getting an honest score. A 4/10 feasibility rating is valuable. Not everyone sees it that way yet.

What's next:

• Better onboarding — first-time users need more guidance on how to get the best output
• More agent transparency — showing the reasoning behind the feasibility score, not just the number
• Growing the user base without burning out on content

If you're building something and want a fast way to pressure-test new ideas — try it at the link below.

And if you've been through a similar distribution grind at early stage — what actually moved the needle for you? Genuinely asking.

Here is the link: www.forze.in

I have a problem. I start projects with loads of energy, disappear for a week, come back with no idea where I was, and never finish them. Sound familiar?

So I built Sidequick to fix it for myself.

You describe what you're building, and it uses AI to break it into stages and quests, small achievable tasks that unlock as you go. Every time you open the app, it tells you exactly where you left off. There's a streak system to keep you coming back, XP for completing quests, and the whole thing is designed around one goal: actually finishing things.

It works for anything: coding projects, writing, design, and learning. Not just for developers.

It's completely free, no account needed, works offline, and runs locally. Windows, Mac and Linux. You bring your own Anthropic or OpenAI API key for the AI features.

Would love to know what you think, especially if you have the same "graveyard of half-finished projects" problem I had.

Download: sidequick.co

working on this for a while and wanted to share it with people who might actually find it useful.

the backstory is pretty simple. I kept building things with LLMs and running into the same two problems after shipping. costs that didn't match my estimates because users generate way more near-duplicate requests than you'd expect. and output quality that was fine in testing but inconsistent in production because real users don't write structured prompts, they write whatever comes to mind.

synvertas is a gateway that sits between your app and your model provider, works with OpenAI, Claude and Gemini. semantic caching catches the near-identical requests and serves the cached response so you're not paying twice for the same intent. a prompt optimizer intercepts the user's input and rewrites it into something cleaner before it hits the model, which makes a real difference for output consistency. and there's automatic provider fallback so if one of the three has issues your app doesn't go down with it.

the integration is one URL change. your existing SDK, your existing code, nothing else needs to touch.

Introducing Stamped

I’m building a new iOS app discovery platform called Stamped.

https://stampedios.com

The goal is to bring attention to the millions of apps on the App Store that often go unnoticed, while giving users a simple place to discover new apps and games in one feed.

It’s free to list and build your developer’s profile

Right now I’m inviting the first 30 indie iOS developers to join the beta group.

What early builders get:

•	Free featured placement during the beta phase

•	Early visibility in a curated discovery feed

•	Direct feedback on how users interact with their app listing

•	A chance to help shape what the platform becomes before public launch

This is still very early, and I’m looking for developers who want to test, share feedback, and be part of the initial version of the platform.

If you’re building an iOS app and want to be included, feel free to comment or DM me.

https://stampedios.com

https://cracked-crystalball-99.github.io/chess-engine/. Have set up free ai chess bot. Defaults to 1600 rating. Challenging. Interesting. Many people in the world would still lose. What if users were offered feedback, on mistakes and blunders? Would you pay for that? FYI: video tech, like MS Clarity might be sufficient for dev to note the chess games, played by beginners.

At moment, not thinking hard about it, just thinking it might be a reasonable value proposition. That is, for the right users.