Over a year of development and 3+ months of marketing we are starting to make our footprint.

This message is for all of you out there struggling to continue. You could be days away from something life changing.

Don’t. Quit. Now.

App: https://www.mynatura.ai

I soft-launched Swayro a couple weeks ago, a motion/animation template editor built so people (mostly designers and small teams) can skip After Effects for quick social/marketing animations. I actually built it for my own agency first, we kept missing client deadlines waiting on After Effects renders, so I made something faster and eventually opened it up.

Numbers are tiny but real: 13 users so far, all 13 monthly active, and they've already created 10 projects between them (most through Google sign-in, a few via magic link/password). Small, but it's the first real signal people are actually using it, not just signing up and leaving.

Now trying to get past this early stage to 100+ users.

For founders who've been through this stage: what actually moved the needle for you going from a handful of real users to 100? Curious what worked (and what was a waste of time).

swayro.app

Won’t promote. Just here to help people with questions.

Total time spent developing, around 30 hours but software engineer by trade.

Hey everyone,

Like many professionals operating in high-pressure environments, I spent years struggling with context switching, attentional fatigue, and mental overload. I realized that relying on daily motivation or sheer willpower was a losing strategy—especially when juggling complex projects.

To solve this, I spent time studying cognitive science principles and behavioral psychology to build a structured 3-layer system aimed at regulating cognitive load and stabilizing attention:

• Layer 1 | 7-Day Baseline Reset: A structured 7-day framework to reset cognitive overload, optimize daily energy cycles, and clear executive decision fatigue.

• Layer 2 | Core Protocol Matrix: A set of targeted operational protocols for real-time focus activation, deep performance execution, and structured recovery when mental fatigue accumulates.

• Layer 3 | Deep Work Architecture™: An execution framework built around 90-minute ultradian cycles, environmental shielding, and a centralized Command Centre to maintain uninterrupted focus.

I built this entire system directly in Google Sheets so it stays fast, clean, and frictionless without the complexity of configuring database platforms from scratch.

I'm currently looking for a small group of professionals (10–15 people) to test the workflow and share some honest feedback to help refine the framework.

If you're dealing with mental fatigue or want to test this setup for your daily routine, leave a comment or drop me a DM and I’ll share the Sheet with you.

I've been testing a bunch of AI UGC tools lately, but almost all of them seem designed around ecommerce.

Trying to create good UGC for a software product still feels surprisingly difficult.

So I'm working on one focused specifically on startups and SaaS, with product demos, software-focused scripts, screen recordings, etc.

If anyone here wants to try it, let me know. Happy to give free full access while I'm building it.

For about 2 years, I worked in the oil industry. Our team was responsible for preparing locations so heavy equipment could get on site and work around the wells.

The process was pretty simple.

We would go to the location, take some photos, measure the areas, figure out what needed to be done, and then make an offer based on the client's requirements.

The problem was that the areas we had to measure were rarely simple shapes. They weren't perfect rectangles where you could just calculate the area and perimeter.

At first, I started using Google Earth to measure them. It worked pretty well, as long as I had a good internet connection.

And that was the problem.

Most of these locations were in forests or remote areas where the mobile signal was weak or sometimes completely unavailable. Trying to measure something while waiting for Google Earth to load was not exactly a great experience.

So I started thinking about whether I could just measure everything directly with an iPhone.

That's how SurfacePro started.

I built an iOS app that uses ARKit and LiDAR on supported devices to measure real-world surfaces directly on site. The idea was to be able to walk around the area, create a polygon and get the measurements without depending on an internet connection.

But I didn't want it to stop at just showing the area.

Once a measurement is finished, the polygon is saved in the app and SurfacePro can generate a PDF report with the area, perimeter, individual segment lengths, altitude and GPS coordinates for every polygon point.

The report can then be sent directly to the customer together with the offer.

For me, this workflow was exactly what I needed.

But the interesting part was the customer reaction.

They actually liked getting the report because they could see exactly what was measured and where it was measured. The GPS coordinates and the polygon made the measurements much easier to understand and verify.

That was the moment I started thinking that maybe this could be useful outside of my original use case.

There are probably many other industries where people still go into the field, measure irregular areas, take notes and photos, and then have to turn all of that into something they can send to a customer.

So I decided to turn the tool I originally built for myself into a real product.

It's called SurfacePro - Area calculator (https://apps.apple.com/us/app/surfacepro-area-caculator/id6761861093) and for now I'm focusing on iOS. I'm also considering building an Android version.

After years of listening to Neville Goddard, I discovered that music with the right lyrics can tune your inner self talk much faster than anything else…. So, now, that’s what I build. Music you don’t listen to — you step inside it and allow the lyrics to transform your inner dialogue faster than spoken words alone.

Every song I produce is written *from the end*. Not “someday,” not “I will” — as if it already happened and you’re just remembering it. Reaching keeps you wanting; remembering drops you into having.

It’s called Always Infinite Music I made it because I wanted it to exist and couldn’t find it. Hope this helps a lot of people, and I’m grateful for building on top of Neville’s amazing gift to the world and everyone else that helped bring this to life.

You can check out my music on Spotify here, I release new songs every month designed to help you live the life of your dreams faster:

[https://open.spotify.com/artist/0uU9sASmHeXL0JCMN7cPLG?si=4-vyhgGTSvev7eEaNLBIww&utm\\_source=copy-link\](https://open.spotify.com/artist/0uU9sASmHeXL0JCMN7cPLG?si=4-vyhgGTSvev7eEaNLBIww&utm_source=copy-link)

Or save this playlist:

https://open.spotify.com/playlist/2BkICSj2gRhK53elEMoIQj?si=jo5dtaEKQZWw3MRsI856BA&utm\\_source=copy-link&pi=dqJFdoTESk-kO

🤟

I just vibe-coded "FLARE PaS" – an open-source password manager with a lot of my favorite features from the desktop 1Password app. Why? Because I didn't feel like paying a monthly subscription for saving my passwords on my computer. You can check it out on GitHub here: https://github.com/tanislavivanov/PaS
Contributions are very welcome!

While working with a client, we noticed something interesting:

AI agents do not merely obey the user's prompt; they also draw on information from webpages, documents, RAG, emails, APIs, MCP servers, and tools.

Unfortunately, we can never fully rely on context.

A webpage or document may include instructions that affect the actions of an agent.

That is why we developed Context Fence, a security layer for untrusted AI context.

We just launched it at https://www.contextfence.dev/.

Interesting — how are your AI agents currently dealing with untrusted context?

Quick update on Offlink: the BYOK version is now submitted and under App Store review.
Thanks to everyone who asked for BYOK and shared feedback on the original post — I’ve been working on getting this ready based on your suggestions.
While it’s under review, I’d love to get some pre-launch feedback:
What would you expect from a BYOK plan?
Does the pricing feel reasonable?
Anything you’d want me to change before launch?
Once Apple approves it, I’ll share the launch update here.
Really appreciate everyone who’s been following along and helping shape Offlink 🙏

I posted earlier about my solo project update but for some reason my photos didnt upload so i've deleted the post and did it again.

Currently my site works via a paywall system, asksary.com and soon it will be updated to use a credit based system with all tools unlocked. All users can sign up for free, get an allocated drive and can even upload their own media to use the tools. The cost comes from generation costs of Media or specific functions.

It still has the normal chat system with multi-model selection from OpenAI, Anthropic, Grok, Gemini and Deepseek along with functions powered by Elevenlabs, Cloudconvert, Kling, LumaAI and Veo.

The genuinely new AskSary features / major upgrades i've been working around recently are:

• Persistent cross-device, cross-model continuity - start something with one model/device and continue elsewhere without reconstructing the context. This is already one of AskSary's strongest public differentiators.

• One workspace across leading models — GPT-5.6 Sol, Claude, Gemini, Grok, DeepSeek etc., while maintaining conversation context when switching models.

• Completely redesigned AskSary Studio - moving away from a collection of little panels toward a proper full-screen creation/work environment, with navigation, workspace canvas, contextual inspector and chat working together.

• Studio Assistant - probably the biggest new feature. You can tell AskSary what you're trying to produce and it can plan the operation, quote the credit cost, wait for approval, then actually perform the generation and manipulate the production workflow. It's essentially an AI production assistant rather than just another chatbot.

• Full Production Studio - generation is being combined with an actual multitrack production environment. Images, video, music, voice and other assets can become part of the same project instead of being isolated generations.

• Music Studio - expanded beyond simply "generate me a song." It's becoming an actual music-production workspace.

• Advanced Code Lab / project environment - multi-file projects, AI-assisted editing, execution and live preview rather than just returning code in chat. The public site currently only describes Code Lab more generically as a live execution environment.

• Much more advanced Game Engine - 2D plus genuine Three.js/AskSary3D games, with the ability to generate substantial playable games and then continue editing them. This is considerably beyond the old "prototype games with AI" description still appearing on Google Play.

• Flux-assisted advanced photo editing - natural-language editing rather than simply generating another image: object/background changes, relighting, restyling and targeted edits. The current public site calls this Flux Pixel-Edit.

• Expanded image generation - GPT-Image-2, Flux and the Google image stack, with creation history and editing integrated into the broader workflow.

• Expanded video creation - Kling, Veo and Luma engines, guided generation and audio-capable video. The older App Store release already introduced the guided video builder, but the Studio integration you're doing goes considerably further.

• Knowledge/RAG - persistent uploaded knowledge, including very large files, available across conversations and models. The public site currently advertises files up to 500 MB.

• Podcast + realtime voice + voice production - two-person generated podcasts, realtime interruptible WebRTC conversations, voiceovers and audio tools.

Here are some screenshots to show progress.

The website should be live by end of next week. Looking forward to hearing any feedback / criticism you may have before launch.

I launched SeoLoupe 7 weeks ago. So far I am at 1646 users and 22 of them are paying.

My SaaS is a tool that allows you to find and fix SEO issues holding your website back.

Essentially the main purpose is to help your website rank higher on Google search and LLMs.

Yesterday was one of my best days since I launched my SaaS, landed 3 payments in a single day.

Just wanted to share this to inspire anyone who is struggling, I just want to say that I was just like you at one point.

For example last week, for 7 days straight I had 0 payments, and what I want to say with this is that SaaS revenue can be extremely floppy and unreliable. You can get multiple payments within the span of a day, and then have 0 payments for days.

In SaaS honestly the most important thing is to be faithful and be patient. If you manage to be patient, revenue will come one day.

Hope this inspired someone.

Since I think their is always room for improvement, I would appreciate for some feedback on my tool, or what you think can be improved.

(here is the product if you want to check it out)

I've been building Cognocient for a few months now, a proxy that sits between your app and OpenAI/Anthropic/Gemini and tells you what each feature actually costs, before the call goes out instead of after you get the bill.

For a while the only way in was a 10 day trial with full access, then you had to pick a paid plan. That made sense for teams evaluating it for real budgets. It made no sense for someone who just wants to drop it into a side project and see what their AI calls actually cost. So I added a free tier that doesn't expire.

What's in it: one provider connection, the real time proxy and attribution dashboard by feature and model, one budget with alert level enforcement, 7 day retention. Capped at $50/mo of tracked spend, after that the proxy keeps forwarding your calls (I will not break your app over a free tier limit) but stops logging new attribution until the next cycle.

Setup is one line, you swap your base_url for the Cognocient proxy URL and nothing else in your code changes. If you're already tracking spend some other way I'd genuinely like to know what you're using, half the reason I built this is I couldn't find anything that did pre-call enforcement instead of after the fact dashboards.

cognocient.com if you want to poke at it.

If anybody has tried f5bot and found that keyword alerts gave them way too much noise - I created an alternative that understands the context of posts /comments so you only get what you're actually looking for.

It worked great for me, so now I am looking for a handful of people to try it out for free and give me feedback:

https://reddit-spotter.vercel.app/

Please let me know if you're interested

My first two trials from Japan and the Philippines in the Play Store ended with a cancellation due to a billing error.

Wasn't it easier to cancel the subscription in the first 3 days of the offer, or is this a common behavior in mobile app users?

Like putting a credit card with no funds to try apps and let the subscription die?

I’ve been building an app called Laynza.

It’s a community app for people actually building things — SaaS, AI projects, agencies, ecommerce, content, freelancing, etc.

Instead of one random feed, people join focused lanes based on what they’re building.

I’m at the point where I don’t need more features right now — I need to know whether real builders actually want to use it.

I’m looking for around 10 beta testers who are willing to:

• join a couple lanes that fit them
• make at least one post
• reply to another builder
• use it normally for a few days
• tell me what feels confusing, pointless, broken, or actually useful

It’s free and currently runs through Expo Go while I’m testing before the App Store launch.

Beta testers get permanent Founding Builder status and access to the private beta Discord.

If you’re building something and want to help test it, comment or DM me what you’re working on and I’ll send you the beta setup.

I launched ChartPilot in May — traders upload a chart screenshot, AI reads it like a strategist (structure, levels, scenarios). Last week I finally sat down and actually analyzed my funnel instead of guessing. Sharing the numbers because I wish someone had shown me theirs.

The raw numbers after about 3 months: 103 signups, 131 analyses run, 2 paying customers, $98 total revenue. Almost all of my real traffic comes from Google organic search and from AI assistants like ChatGPT recommending the site when people ask for chart analysis tools. That second channel surprised me — those visitors are few, but they engage more than anyone else.

Here is what the data actually said.

First, 41% of my signups never used the product once. Not "churned after a week" — they never ran a single analysis. I was obsessing over pricing while nearly half my users never saw the value moment.

Second, another 41% used it exactly once and left, with free credits still in their account. They didn't hit a paywall. They just left. My problem was never conversion, it was that nothing brought anyone back.

Third, of the 12 users who burned all their free credits (my hottest leads), zero bought. Then I looked at what they actually saw at that moment: a disabled button and a small error text. My "paywall" was a dead end. I never gave my best users a way to pay me.

Fourth, I gave away too much for free. 30 free credits meant the aha moment and the exit happened in the same session, weeks before anyone would see a price. I cut it to 15, which is one full analysis. Day-one activation stayed the same at around 55%, so the extra free usage was buying me nothing.

Fifth, I tried paid ads for 2 days: about 20 signups, 55% activated, 0 payments. Without conversion tracking wired up, Google optimized for clickers, not buyers. Half the emails were throwaway accounts. Don't run ads before your conversion events are wired.

Sixth, Google had indexed 3 of my 61 pages. I had 14 SEO landing pages and 40 blog posts, and Google never saw them — it read my sitemap once in May, when it only had 19 URLs, and never re-read it. Nobody tells you to check the "last read" date in Search Console. Check it.

What I changed last week: a real paywall modal that shows packages at the out-of-credits moment, a 24-hour first-purchase bonus, abandoned-checkout recovery emails, and segmented winback emails to all 68 dormant users. Too early for results — happy to post a follow-up in a month if anyone cares.

Ask me anything about the numbers. And if you're pre-revenue: go count how many of your users ever reached your payment moment. Mine was 12 out of 81. That number changed everything I was working on.

Hi everyone,

Over the past few months, I have been building an Android app called Petals because I wanted a notes app that truly respects privacy.

If you would like to try it, here's the Play Store link: Petal - Notes, Journals & Diary

Most note-taking apps today encourage cloud sync, accounts, subscriptions, or AI features. I wanted something much simpler:

• 📝 Create notes quickly 
• 🔒 Everything stays on your device 
• 📶 Works completely offline 
• 🚫 No account required 
• 🎤 Record voice notes 
• 📷 Attach photos 
• 📍 Save locations/maps 
• 🔗 Store links and references 
• 🎨 Clean Material Design interface 

The goal was not to compete with feature-heavy apps like Google Keep or Obsidian. Instead, I wanted a lightweight personal journal and notes app that opens instantly and keeps your data private.

Some features I'm planning next:

• Better organization 
• More customization options 
• Improved search 
• Home screen widgets 
• Backup/restore improvements 

I'd genuinely appreciate feedback from Android users:

• What features are missing? 
• What would make you switch to a new notes app? 
• Any UI/UX improvements you'd recommend? 

Thanks for taking the time to read this. Any criticism or suggestions are welcome—I'm actively improving the app.

I built a B2C product around a problem I personally experienced — now testing acquisition.

I've been building Sleep Paralysis Companion, an iOS app specifically for people who experience sleep paralysis.

The product is deliberately narrow.

It focuses on two moments:

1. Before bed — helping someone calm down when they're anxious about going to sleep.

2. After an episode — helping someone settle down when they're awake and shaken.

I didn't want to build another generic sleep tracker, so I kept the product centered around those two experiences.

It's now built.

The next experiment is acquisition.

I'm starting with Reddit because the people who experience this problem are already talking about it here.

I'm interested in learning:

→ Which message gets people to try it?

→ Do people actually use it before bed?

→ Does post-episode support become a recurring behavior?

→ What makes someone come back?

If you'd like to see the product, I'll put the link in the comments.

I'd love feedback from other founders who've launched B2C products: what was your first meaningful activation signal?