I built Sitemapper after getting tired of checking a sitemap, then checking pages, then checking robots, then trying to remember what changed after the last deploy.

It does that in one pass. Give it a public site and it reads robots.txt, discovers XML sitemaps, checks live pages, and keeps a snapshot so later runs can tell you what actually changed.

The part I care about most is not an SEO score. It is catching boring regressions like a page turning noindex, a canonical moving, a URL disappearing, or the sitemap suddenly shrinking.

Free first scan, no account: https://sitemapper.oortstack.com/

If you try it on something weird or messy, I would like to know where it falls over.

When we started Svay, the opportunity seemed pretty obvious. AI was making it dramatically cheaper and faster to create good marketing, so we thought the answer was to build better tools for doing it.

Then we spoke to 50+ businesses.

And the thing we kept hearing was that they already had tools for almost everything.

Canva for design, ChatGPT for writing, etc...

But someone still had to sit in the middle of all of them, decide what should actually be made, move the work around, check the quality, publish it and then figure out what to do next.

That changed how we thought about the product.

We stopped thinking about Svay as another tool a marketer would use and started trying to build Svay like the marketer itself.

Around 10 companies are now interested in trying it. The product still isn't really self-serve, so right now we're using it internally and with a few early pilots.

One thing we got pretty wrong was the quality bar.

We assumed that if a business was barely posting anything, getting them from zero to consistently decent content would already be a huge improvement.

Turns out, even businesses doing almost nothing have a very high bar for what goes out under their name.

They might not have the time to make the work themselves, but they know immediately when something feels average. In hindsight this is pretty obvious, but it changed the way we're building a lot of the product.

If Svay is going to behave like an employee, it needs judgement, not only speed.

For video, it can now go from research → idea → script → video → review → publish. It can also join meetings and take context from places like Slack and WhatsApp. The biggest time saving we've seen so far was taking something that used to take around 10 hours down to about 5 minutes.

Another interesting thing has been the reaction when we show businesses what it can already do.

A few times we've explained features that literally already exist and people have responded like what we're describing sounds unrealistic.

Basically, they didn't realise a system could already work this way.

But I think the harder problem is becoming more obvious as we build more of it.

Svay currently has around 20 different touchpoints where it can learn something about a company. Meetings, messages, research, previous work, feedback, performance and so on.

Making each of those things work is one problem. Making all of them feel like the same brain is much harder.

If Svay researches a competitor at 9am and finds something important, then joins a meeting at 3pm, it should already know what it found, understand why it matters and have something useful to say about it.

That, I think, is where the difference between an AI tool and an AI employee starts becoming real.

The bet we're making is that businesses eventually want one system they can trust to take responsibility for marketing, rather than another set of tools someone still has to operate.

The thing I'm trying to figure out right now: when you hear "AI marketing employee", what would it have to do before you'd trust it with your marketing without checking everything it creates?

If anyone wants to see what we're building: svay.ai

Hi everyone! 👋

I've been working on Dosera, an Android app designed to make medication tracking simpler and less stressful.

I built it because I wanted something more focused than the typical health apps — no complicated dashboards, no unnecessary features, just a reliable way to remember and keep track of your medication.

What Dosera does

💊 Medication schedules — Set multiple medicines, doses and schedules.

⏰ Reliable reminders — Exact scheduled alarms with a full-screen alarm where you can quickly mark a dose as Taken, Skipped or Snoozed.

📊 Adherence tracking — See taken, skipped and missed doses, streaks and daily progress.

👨‍👩‍👧 Caregiver support — You can optionally notify a caregiver through Telegram when a dose is missed or skipped.

🔒 Local-first privacy — Your medication data is stored locally on your device. No cloud account is required.

📄 PDF reports — Export your medication history and adherence data.

The app is currently live on Google Play:

https://play.google.com/store/apps/details?id=com.leon55490.dosera

I'm especially looking for people who actually manage medications regularly, or developers who are interested in testing the reliability/UX.

I'd really appreciate feedback on things like:

• Are the reminders reliable on your device?
• Is the alarm screen easy to understand?
• Is anything confusing when adding a medication?
• What feature would make you keep using the app?
• Did anything break or behave unexpectedly?

Even a quick comment after trying it would be incredibly useful.

Thanks!

I've been building my first real SaaS for the past few months, and I kept falling into the same trap: every time I thought it was ready, I found one more thing that "needed" to be fixed before I could show it to strangers.

The product is ActivCue. It's a family activity app that takes things like the kids' ages, available time, energy level, mess tolerance, materials in the house, etc. and generates activities that fit that particular moment.

Getting the core feature working wasn't actually the hardest part.

The harder part was everything around it:

• authentication and account restrictions
• Stripe subscriptions
• database security/RLS
• mobile layouts
• making AI-generated activities consistently age-appropriate
• handling generation latency
• building a demo
• analytics
• privacy/terms
• figuring out when the remaining bugs were "don't launch" bugs versus normal things I could improve later

I finally reached the point where continuing to build without real users was probably giving me less useful information than actually launching.

So today I started promoting it for the first time.

I'm starting with organic posts instead of paid ads because I want to learn whether strangers understand the product, where they drop off, and what objections come up before paying to send traffic at it.

For anyone who's launched a SaaS before: what did you discover only after real strangers started using it that you never would have caught during development?

If anyone wants context for what I built, it's activcue.fun. I'm much more interested in launch/product feedback than selling subscriptions here.

Hi! My Downloads folder had been left unkept for a very long time. I started cleaning it up with Finder but it was quite cumbersome so I started creating a simple app to help me filter out and delete or move the files in the folder.

It genuinely helped me clean out my Downloads folder and as I thought of more features I wanted in a file manager I started to add them.

Features such as: Fuzzy go to folder/file where you only need to type a few letters of the path to get suggestions and jump to the correct path instantly. Hover over an image or PDF file to preview it instantly. Command palette to find actions fast. Dual-pane view and tabs that remember their own filters.

As I used the app I added even more features that I wanted: Batch rename with regex support and presets for common operations. Converting HEIC/WebP/AVIF image files to JPG/PNG. Sidebar, single-click open, keyboard controls and many other small quality of life features I discovered while using it. Since it's a file manager I put real work into safe file operations, and the only network request it makes is an anonymous version check.

WhimFiles has a launch price of $19.99 and a fully-featured 30-day trial.

The trial can be downloaded here: https://whimfiles.com

I hate to ask, really, but...
Considering the kind of work, I don't think "piss filter" is really an argument.

Some argue that the video is years old but a backwards search shows that the video is like maybe a year old. They don't see anything wrong with it.
What makes me question it are the following:

1. People rather step on unstable bricks instead of taking the ones that are closest. Height is not a reason, since they all kneel down.
2. at the 2 second mark, the women in front takes a brick and a second one falls over. There is no collision, even though the bricks are tightly stacked. It just falls into the gap without a noise or any kind of detectable collison. It also looks to me like it overlaps for just a millisecond with the other brick a bit closer to the viewer.
3. at around the 5 second mark, the women in the upper left takes a brick that seems to warp a little bit. But maybe thats just the dust.
4. When the women in front throws the last bricks onto her head, they just seem to fly into the right place and just after do an incredible job of not falling, even though they are extremely wobbly. Maybe those workers have just an incredible sense of balance (which they no doubt have).

Edit:

5. I just noticed something else. When she stacks the first few stones, the dust flies upwards. With the last bricks it suddenly settles downwards.

What makes me think it might not be AI:

1. Even if its just a year old, that would still be good for 2025 AI video
2. the inscription on the bricks is rather consistent

Edit2:
Wow this is more devisive than I thought. I kinda thought everybody would tell me I'm an idiot for thinking this is AI

For most of my life I tried to be someone else. I'd find someone I admired, decide they were better than me, and copy them. That mindset pushed me into a business I never enjoyed and only started because I looked up to one specific guy. It failed. I felt completely lost.

Around that time I was obsessively tracking my sleep with a Whoop, trying to optimize it. I kept getting good recovery scores. And I was still exhausted, yawning through entire afternoons, dead by 2pm. That's when it clicked: the score doesn't do anything. It just confirms you slept well or badly. Cool. Now what? Knowing isn't fixing.

So I built the thing I actually wanted. It takes the data your wearable already collects sleep, recovery, heart rate, and turns it into a daily protocol instead of another number. It tells you what supplements to take based on your metrics, predicts your most productive hours and gives you the exact time window when you should do deep focus tasks and light focus tasks, it tells you how much caffeine you have in your system left based on your first coffee taken and notifies you when you should take the next caffeinated drink for maximum productivity, it even tells you when to nap so your energy lasts the whole day instead of crashing and much more...

It's on the App Store as RizeAI https://apps.apple.com/us/app/rizeai-maximize-your-energy/id6762402079. i built by myself, it's early stage right now, and I want honest feedback, what's confusing, what's missing, what you'd never use. Tear it apart.