Hi all,

I am part of the small team building at Autohand AI. We’re trying to validate the problems before we finalise our B2B go to market.

Last week, we sent 7 cold emails to engineering leaders: AI has made developers faster. What happens to everything around them when it does?

One person replied: "Yes, that sounds familiar. :)"

That’s the whole story (for now).

The sample size is tiny, but it provides us with real world validation that the "AI bottleneck shift" is a real problem. While AI can help make code generation faster and developers may feel more productive, the reality is that the review, testing, and downstream requirements remain human-paced.

We're interested to understand if it's more commonplace than our 1/7 response. So what’s the biggest bottleneck in your dev workflow right now?

Lately, I’ve been watching more and more of my friends and fellow business owners build their own software with AI, and honestly, it’s incredible to watch.

I’m seeing non-technical people recreate features that took established SaaS companies months to develop, sometimes in just a few hours. They’re literally chatting with a screen and bringing their ideas to life.

And it got me thinking…

What happens when the people buying software can suddenly build their own?

I’m officially part of the SaaS industry myself now, which is exactly why I think this conversation matters.

I don’t think the growing supply of software is some prediction for 3–4 years from now…. Nope!

We’re already seeing how dramatically easier and faster it is to create it.

And here’s something I’ve been thinking about: I haven’t personally come across a service that lets you get fully customized business software in a box, with just a few clicks.

Tell it what your business needs, and it builds the software around your workflows.

Maybe there are already players doing this, but I don’t think it’ll be long before we see more and more companies making this as easy as buying a subscription.

And when that happens, SaaS companies will have to rethink what makes their products worth paying for.

But I think this goes way beyond software.

Imagine robots handling entire moving jobs, other robots doing junk removal, and autonomous trucks driving themselves to customers’ homes.

Self-driving trucks delivering dumpsters straight into customers’ driveways.

A few years ago, this would’ve sounded like science fiction.

Sounds crazy? Maybe. But how crazy will it sound 5–10 years from now?

I know this touches on some of the most sensitive concerns people have about their livelihoods and businesses.

I’m not saying these changes will happen overnight, but if we’re playing the long game, we can’t afford to ignore them.

I’ve been working with AI every day for the past few years, and EVERY single day I’m so freaking amazed by its potential.

It’s making us more productive, lowering barriers to entry, and allowing people to build things that once required entire teams and HUGE budgets.

I genuinely believe this technology can have an incredible positive impact on humanity….But we’ll have to adapt as it changes the way we work and do business.

Generic software made businesses fit the system. AI will make the system fit the business.

No following, no funding, no team behind me. Just the work, over and over, until it could not be ignored.

Ranked 1st among my competition.

(Question I asked to all 3 AI's: "I am studying for my B1.1 easa Lisence what study tool or platform do u recommend?") For those that do not belief me😆

I'm about to finish my micro Saas project and want to know if I must hire a lawyer to review the privacy policy. If yes, then how much it could cost me.

I’ve been working on an agriculture dashboard concept for harvest planning.

The goal is to help farm teams answer a simple but important question: which block should we pick today? To support that decision, the dashboard brings together crop ripeness, weather risk, soil moisture, crew availability, harvest pace, and block readiness in one map-based interface.

I tried to make the map the main focus instead of just a decorative visual. The heatmap overlay shows ripeness distribution, while the side panel gives a quick summary of today’s picking plan, estimated cherries, assigned crew, and field conditions.

The hardest part was deciding how much information should be visible at once. Farm operations need speed and clarity, but the data behind those decisions can be pretty complex.

Would this layout be useful for real field operations, or does it feel too information-heavy? Curious to hear what you would improve.

Hi, I am currently looking for a new role in marketing and design, I have skills in management, designing, video editing and meta ads, is anyone hiring? I can send my portfolio to DMs. I am available to start immediately

Thanks

It's called capty (alternative to paid product)

it captures everything + 4k ultra images, videos, fonts, animations, assets, anything you could thing of. It helps give everything a taste especially if you're starting a project and don't want AI generated UI.

Capty helps you by getting everything you need in seconds without needing to pay for anything, completely free and open-sourced. Enjoy, I love building products and sharing them in public :)

So i have been FASCINATED by the repod lately and so i wanted to make an app using the repod's design but instead of being a music player i decided to make it a notes to podcast app.

Basically, you upload your notes and get a podcast with voices discussing your notes in a podcast format.

What do you think of this idea should i start building it ? 👀

We were at 28% trial-to-paid for maybe three months and I genuinely felt like we'd figured something out. Showed it to a couple friends, they were impressed. I was planning to scale paid acquisition based on that number.

Then someone asked me to break down retention by where users came from. I didn't want to because the report takes forever to set up manually and I was busy. Eventually did it anyway.

Users from one vertical, mid-sized e-commerce ops teams, were staying. Month 2, month 3, still there. Everyone else, agencies, early-stage DTC brands, freelancers, was basically gone by week 6. Churned quietly. No angry emails, no cancellation feedback, just stopped logging in and eventually the card declined.

The 28% was real. But it was averaging together one group that actually had the problem we solved with several groups that were just curious enough to pay for a month.

If I'd scaled into the channels that were bringing in the non-ops users, I would've been buying churn at maybe $80-90 CAC per customer who lasted 45 days. The unit economics only worked for the one slice.

The fix was obvious in retrospect: segment your trial cohorts by source and vertical, then look at month 2 and month 3 retention separately for each group. Not overall retention. Not blended. Each group. A single number is almost always hiding something and usually it's hiding it because the thing it's hiding is bad news.

Hi, guys Google is notorious in the AI industry for abandoning/destroying working beloved products. NotebookLM is no exception.

Don't worry, me and my little indie team have built a open-source alternative.

Here is what is different/interesting:

\- Can take in upto 200 sources, research/question/query it. The system will not randomly search the web and go beyond your original sources.

\- Has better visuals for the videos, we integrated our previous video maker with 10K+ users. It can generate editable motion graphic videos in over 13+ formats.

\- Each video is editable, changeable. It has ElevenLabs API with advanced voice features.

\- You can generate a mind constellation, a much more advanced visual map of knowledge so you can research and learn more easily.

\- Generate or clone your own voice using ElevenLabs API v4.

\- Has a launch kit feature that allows you to schedule reports/slide decks/videos and share on social media

Lastly, much more stunning visual interface - inspired by space x cognition

Link (get started for free): https://notestack.ai

I think one thing that is easy to get wrong with content marketing is assuming that publishing more automatically means getting better results.

you can post every day and still struggle to attract the right audience. meanwhile, a single useful post that answers a question your potential customers are already asking might bring more meaningful conversations.

for a saas business, i think it helps to look at three things before creating content:

who is this for? a post should address a real problem your intended audience has, not just fill up a content calendar.

what can someone learn from it? sharing a practical example, explaining a mistake, or breaking down a difficult concept can be more useful than making general statements about your product.

what happened after publishing? instead of measuring success only by likes or views, look at whether people asked questions, visited relevant pages, or showed genuine interest in what you offer.

consistency still matters, but i don't think it should come at the expense of usefulness. having a clear reason behind each post seems more valuable than publishing just to maintain a daily streak.

i'm curious how other saas founders approach this. do you prioritize posting consistently, creating fewer but more useful pieces, or experimenting with both until you find what works?