r/startupaccelerator

Hey everyone,

Semi-long post here 😄

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I’m making this post to get some feedback on a platform I’ve been building.

I’m working on it solo, with some help from friends. The project is still in a very early stage, so I’m sure there are bugs and things that need improvement.

That said, I’m starting to get really excited because I already have my first 5 users that I don’t personally know.

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A few words about the project:

The platform is built around a Grid with 1 million spots (Tiles).

Users can claim a Tile, and once they do, they can upload media to it (images/videos) and connect their social accounts.

Users can also create SUBGRIDS, which are custom grids where the creator chooses the size and purpose (for example: giveaways, photo/video collages, event tickets, etc.).

Other users can upload content into these Subgrids. The more active a Subgrid becomes, the more visibility the parent Tile gets through the algorithm. Users contributing content also receive a smaller visibility boost.

One feature that has received especially positive feedback so far is the Infinity Grid, where all Tiles across the platform (main grid, subgrids, profiles) are displayed dynamically based on the visibility algorithm.

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Right now, every user gets one free Tile with a signup.

In the future, Tiles will probably have a cost, although I haven’t fully decided on the monetization model yet.

At the moment, my main goal is to get people uploading content before the official mobile app launch.

This platform needs content to feel alive.

You can explore here --> subgrid.app

Would genuinely appreciate any feedback, ideas, criticism, or thoughts.

3 months ago I had $0 MRR and a LinkedIn outbound tool nobody had heard of.

Today I'm at $488 MRR. Not life-changing money. But the growth curve finally looks like a hockey stick, and I figured out why, which is more valuable than the number.

Here's what I learned the hard way.

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What I built

LinkedNav - A LinkedIn outbound platform. It sends connection requests and message based on context, handles inbox replies with AI drafts, and tracks campaign performance.

(do NOT use sequence, sequence is for boomers)

The pitch is simple: most LinkedIn outreach tools are spray-and-pray. Mine tries to be surgical, warm leads, quality lists, AI message that has your approval.

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Feb 2026: basically nothing

I had the product. I had no users.

My go-to-market strategy was "build it and they will come." They did not come.

I was posting on Twitter. Writing cold emails. Doing things that felt productive but weren't. The chart was flat. A few one-time payments that didn't stick. I almost pivoted.

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The thing that actually worked

Around April, I did three things differently:

1. I used my own tool to promote my tool.

I'd built a LinkedIn outbound platform and wasn't using it for my own outreach. Classic founder mistake. I started running actual campaigns to find users for ourselves. Eating your own dog food isn't just about finding bugs, it's the most authentic distribution channel you have. When someone asks "does this actually work?", I can say "I got you from it."

2. I integrated with Claude Code via MCP, and made YouTube videos.

Instead of making users learn another dashboard, I let them run their entire outbound workflow through Claude Code, conversation-style. Type /kickoff, define your ICP, build a list, launch a campaign. No context switching.

The moment I shipped this, something clicked. Developers and technical founders got it immediately. They didn't need a sales call. They cloned the repo, ran /kickoff, and had a live campaign within an hour.

The YouTube videos did something the README couldn't, they showed the workflow in motion. Seeing is believing for a tool like this.

3. I stopped targeting everyone and started targeting one persona.

I'd been pitching our tool to "anyone doing B2B sales." Too broad. I narrowed to technical founders and indie builders who were already using Claude Code. Small market, but they trusted the tool, understood the workflow, and had a real

LinkedIn problem.

The MRR graph from April onward tells the story.

What I'd do differently

- Distribution first. I spent months perfecting the product before thinking about how people would find it. Should have been the opposite.

- Niche down immediately. "LinkedIn tool for everyone" is not a positioning. "LinkedIn outbound for technical founders who hate CRMs" is.

- Eat your own dog food. I run outbound campaigns with LinkedNav every week now. I find bugs faster. I know what actually works in the real world. Use your own product aggressively.

- Community > cold outreach. My best customers came from being helpful in communities where my target users hang out — not from DMs or cold email blasts.

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Where I'm going

Still early. $488 MRR is just a starting point.

The product is free to try. If you're doing LinkedIn outbound and want something that plugs directly into Claude Code, I'm happy to answer questions below.

Happy to go deeper on any of this, GTM, the MCP integration, what the sales safety limits actually look like in practice, whatever is useful.

Building AI demos is getting easier.

Building reliable agent systems for production is still difficult.

Orchestration. Memory. Tool integrations. Observability. Reliability.

Most AI products moving beyond prototypes eventually run into infrastructure complexity.

Supahmation is being built to solve that.

An Agentic AI infrastructure platform focused on helping developers and businesses build, orchestrate, and operationalize AI agents and autonomous workflows more effectively.

Current focus:

• Agent orchestration
• Stateful memory
• Tool integrations
• Production reliability
• Observability for AI systems

Early access waitlist is now open.

Looking to connect with developers, builders, and teams working with AI agents, LLM workflows, automation, or autonomous systems.

Question for people building in this space:

What has been the hardest infrastructure challenge you've hit while building AI agents?

https://supahmation.com

Generic packing lists are almost always useless. they don't care if it's monsoon season or if you're actually planning to hike — they just give you a generic list of t-shirts and socks. I got tired of manually checking weather patterns and luggage weights every time i moved countries, so i built a dynamic generator.

The tool covers 130+ countries and factors in destination-specific climate data, gender, and specific activities. the logic splits everything into essentials, clothing, electronics, toiletries, health, and carry-on items. it also estimates the total weight of your gear, which is usually the part where people mess up.

It is completely free. I am looking for blunt feedback on the logic for multi-activity trips — specifically if the balance between "essentials" and "other items" feels right for your region.

https://pack-lightly.com/tool/packing-list-generator/

Hey everyone,

We recently crossed almost 1,000 downloads and around $300 in revenue.

Still small numbers, but enough to start learning real things from real users. Here are the biggest lessons so far:

1. ASO matters way more than I expected
Around 80–90% of our downloads come from App Store search. For a mobile app, ASO is not optional. Better keywords, screenshots, translations, and conversion rate can slowly compound into more visibility.

2. Always make it easy for users to give feedback
Some of our best product decisions came from users who reached out directly. A simple email, form, Reddit post, or feedback button can be enough.

3. Onboarding is probably the biggest revenue lever
If users don’t understand the value quickly, they leave. Small changes in onboarding, copy, screen order, and paywall timing can have a real impact.

4. Track everything that matters
You need to know where users come from, where they drop, what they use, what they ignore, and where they convert. Without analytics, you’re mostly guessing.

5. Translations can unlock unexpected markets
We translated the app into 8 languages and were surprised to see traction in places like Russia. Even when revenue is lower, more users means more feedback and more behavioral data.

6. US users monetize much better
For us, the US install-to-payment conversion rate is roughly 2x higher than the rest of the world. Other countries help us learn, but the US is where most of the revenue potential is.

7. Test a paywall during onboarding
Around 68% of our conversions happen before users even sign up. I know onboarding paywalls can be controversial, but for us it clearly matters.

8. Reviews are harder than they look
It took us several attempts to find a review prompt logic that actually worked. Timing matters a lot: not too early, not too late.

Main takeaway: the more data you have, the less you rely on your own assumptions. What you want as a founder doesn’t matter as much as what users actually do.

Our app is Paintly, a small app to learn art history through one artwork a day, in around 2 minutes.

Paintly is available on iOS and Android here if you want to try it:
https://taap.it/getpaintly

Happy to answer questions or debate any of this in the comments.

Hey everyone, I hope you are well.

I built a platform for builders who built vibecoded sites/businesses/apps/start ups etc, who just want to build and not worry about markets, competitor analysis, pitch decks, business plans etc. You pop your URLs, code, files, images, chatgpt, Claude, Gemini chats etc in and it generates it all for you. You pivot, change prices, markets, it changes it all for you as a living document and workspace and export it in any format you want.

This idea stemmed from my own frustrations of building a healthcare startup as a tool for myself but spiralled into something else.

It's early stages and looking for some potential testers if possible who will get free access to help me improve it and hopefully help you too.

https://ceoworkspace.lovable.app/

Cheers

Not asking for validation. Asking if you’d actually pay and why or why not. Be brutal.

The problem.

Every developer building with AI APIs is one bug away from a surprise bill. It happened to me. A retry bug caused one user to hit my endpoint nearly 3,000 times in 14 minutes. Nothing crashed. Everything returned 200.

My Anthropic bill told a different story.

Normal protections don’t work here. Rate limits are per API key not per user. Observability tools show you the damage after. Nothing watches in the execution path where calls actually happen.

So I built Monrow. Three lines of code. Wraps your Anthropic or OpenAI client and throws an error before the next call fires when something looks wrong. Free tier. No account. No card.

The business model.

Free protects one server. When you scale to two servers each sees half the traffic and neither fires. Pro at $29 a month aggregates across all servers so detection works at real scale. That is the only reason to upgrade. I am not going to pretend otherwise.

Live right now. MIT licensed SDK. monrow.io

What would make you pay $29 a month for this? What would make you not? What am I missing?

Built a prototype that generates custom podcast episodes from a prompt. You choose format, style, and length. Looking for 10-15 people to test it and give honest feedback on accuracy and audio quality.

https://genesis-atom-stream.lovable.app

Quick survey after testing if you have time:

https://docs.google.com/forms/d/e/1FAIpQLSe5cakTjMNi0TFVBG9IZxGry3cTmwnRQvSYDWVTyW9VdkPlWQ/viewform?usp=dialog

Hi Guys, ı am an indie dev. and developed a subs. tracker app. There is an algorithm app that uses math rather than ai. The app Basicly does everything a subs. app does and additionally gives real saving advices according to your spending habit. ı havent been succesfull so far and need feedback from you guys.

Can you check and give feedbacks?

here is the link: https://apps.apple.com/us/app/yula-subscription-tracker-ai/id6759402076

Most journaling apps: write essays daily 😵‍💫

My Days: Tap a mood ± activity → done ⚡ (close anytime, we’ve got it auto-saved)

☁️ Sync across devices Secure backup & sync with Google Drive

🔒 Your data stays yours Private by default. Nothing sold. Full control.

💸 No subscriptions. Ever Pay once. Use forever.

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✨ More than just a journal When you want to go deeper, we’ve got you:

📸 Images & voice notes

📍 Location & weather tracking

✍️ Rich text notes

🧠 Templates & guided prompts

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🧩 Built for daily life Go beyond journaling with:

✅ Counters & habit tracking

📝 Notes & quick captures

📅 Planner to organize your day

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🎯 The goal? Make journaling so easy… you actually stick to it.

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Web- https://mydaysjournal.com

Android- https://play.google.com/store/apps/details?id=com.reflectivalabs.journal

Ios- coming soon

Web app- app.mydaysjournal.com

Reddit- /r/mydaysjournalapp

Twitter- https://x.com/MyDaysJournal

I developed Weather World because I wanted a simpler, more helpful way to stay ahead of the forecast. I truly believe that a weather app should be a tool that makes your life easier, not a source of distraction with ads and confusing menus.

How it helps you: The core of the app is all about visual clarity. I’ve focused on creating intuitive graphs that let you see temperature shifts and precipitation trends at a single glance. Instead of reading through long lists of numbers, you can visualize exactly how your day will unfold. It’s minimalist, lightweight, and built for speed—perfect for anyone who values a clean Android experience.

I’d love your support! Please give it a try and see if it helps your daily routine. If you find it useful, please recommend it to your friends! As a solo developer, your support and word-of-mouth are what help me improve and grow.

In compliance with the community rules, I’ve shared the link via IndieAppCircle. Check it out there and let me know what you think!

Find it here: https://play.google.com/store/apps/details?id=com.danie.pocasisveta

Got this traffic for my astrology website in 18 days is it ok

The Premise

CalcByEA is a fully functional web calculator where almost every button is locked behind a paywall. You need to buy 'DLC packs' to unlock basic operations like addition, multiplication, and the equals sign.

The number 0 is free. Everything else costs money.

This is not a bug. This is the product.

It's satire on the video game industry's microtransaction model — specifically EA Games, who turned a $2 cosmetic DLC in 2006 (Horse Armor for Oblivion) into a multi-billion dollar monetization philosophy.

I built this as a mirror to the gaming industry. EA has been voted 'Worst Company in America' twice, and yet their model of shipping incomplete games and selling the rest as DLC became standard across the entire industry.

By 2021, FIFA Ultimate Team was generating $1.6B/year from digital card packs alone. The Sims 4 base game went free while the full content now costs $1,000+. Star Wars Battlefront II's loot boxes triggered government investigations into gambling laws.

So I asked: what if we applied the same logic to something universally free - a calculator?

Try it yourself. Try to add 1 + 1. See how far you get for free.

calculatorbyea.com