If generating code is a commodity, then what is built, and how is the most critical question to answer.

This is the goal of Shotgun - to help you turn technical research and spec generation into context for software engineers, AI code-gen tools like Codex, Cursor, Claude Code, with complete codebase understanding, and agents doing the heavy lifting.

Shotgun produces clean, reusable artifacts and exports to the agents.md ecosystem to help you get the most out of code-gen tools and Agents.

New release highlights:

This came to my mind when I read about how the creation of Sora has raised concerns that it could be an AI equivalent of TikTok (critics warning it could fall into the same addictive patterns as other social platforms).

And after several messages with some people, I also noticed how I wasted a lot of time on my desktop instead of doing something productive or learning.

Every developer who s tried to scale AI knows this pain:

• Agents crash randomly

• Logs are scattered everywhere

• Retries spin forever

• Cloud bills explode

You end up firefighting instead of building.

Today, we launch Palify 2.0 The Creator Economy Network on Product Hunt

Palify is where creators, professionals, and communities come together to:

Some of you noticed the app hitting limits today that s because every generation is powered by integrations with external APIs, which can get expensive fast.

Right now, I m keeping Lumora simple: paste your landing page get a 14-day drip sequence, with customizable tones and export options. The goal has always been to remove blank page paralysis for founders and marketers.

I keep seeing advice like use this model for the easy stuff and that one for complex problems. But it makes me wonder what really counts as a complex problem for an LLM?

For us, complex usually means lots of steps, deep reasoning, or tricky knowledge. But for AI, the definition might be different. Some things that feel easy for us can be surprisingly hard for models, while things that seem tough for us (like scanning huge datasets quickly) might be trivial for them.

MarketFit is coming to PH on Sep 28.

There is a special offer just for 1-day (Sep 28) check our post on 28th.

Fun bit 1:

Hi PH :)

We've had our PH launch precisely 1 month ago, and we're now making a little over $1k MRR.

(could've been around $2k but we had to refund some because product wasn't ready yet)

Two months ago, we launched @Meet-Ting here on Product Hunt in closed beta.

And you know what that s meant?

• Lots of new features

• Lots of bugs (oh yes)

• Lots of new users (grateful)

3 days ago, I was wondering what the future of universities would be in this AI world (and education in general).

I didn't know that YCombinator was going to bring an alternative solution:

Hey folks , recently, TopazLabs (well-known in the AI video/image enhancement space) announced they're shifting from lifetime licenses to subscriptions only. That's sparked a lot of chatter - some say subscriptions feel cheaper upfront, but many users feel it becomes more expensive long term, especially since canceling can be tricky and refunds are limited.

We're curious to hear what the Product Hunt community thinks about this shift:

As a user, do you prefer subscriptions or lifetime licenses? Do you see a difference between desktop apps vs. online/cloud apps? Why?

As an AI developer or maker, which pricing model makes you feel more confident investing in for the long term?

To everyone who's been following our journey - we did it! After months of rebuilding based on your feedback, Asa 2.0 just launched and it's completely transformed.

What's new for your teams:

1. Redesigned Dashboard - Clean, intuitive, and built around your actual workflow

2. Kanban Task Boards - Visual project management that actually helps instead of overwhelming

3. Enhanced Wellbeing Tracking - Energy, stress, and mood insights with smart detection for managers

4. AI Workflows - Natural language task management ("move this to Alex" actually works!)

This is more of a feedback for marketers who are trying to establish contact with bigger influencers.

Thanks to my experience from "both sides", I noticed certain patterns that could work better and satisfaction would be on both sides. :)

The AI gold rush feels like it rewards teams who ship fast. Many teams are working on a 9-9-6 (9am-9pm, 6 days a week) schedule to keep up with the state of the art breakthroughs and features. Does this give teams an edge against their competition or is this slowly burning teams out.
If you're building in the AI space, I would love to hear what your take is:

• What works for your team and do you follow the 996 schedule?

• Did following a 996 culture create more bugs or actually lead to breakthroughs and push you ahead of your competition?

• How would you balance your life outside of work if you followed this schedule?

Making this post to raise awareness and ideally find a middle ground for teams that are currently growing and trying to keep up with the competition

I've recently seen more cities that are growing teams and building offices that seem to be growing rapidly? 
SF seems like it's one of many hubs that have been growing in the recent years. I'm trying to see which cities people are looking into and where people think will be the next startup hub? 
I've seen mixed opinions on cities like New York and Toronto but would love to hear what other people think as well!

Splitz has incorporated many new features since its launch 2 years back. It's still a completely free app to use :)
Some of the prominent features are -
Personal finance management - Apart from group expenses, you can track your personal expenditures on Splitz as well. Any groups you create, will automatically be added and tracked as your personal trip expense.

Dynamic currency conversion - Splitz gives you a choice to enter expenses in any currency in a group. The app will automatically convert your amount to the group default currency!
iOS launch - We recently launched the app for apple ecosystem, which was the most asked question from the users.
Bill images - Users can now upload images of bills along with their expenses.
Custom categories - Users can create custom categories in a group if the existing default ones are unable to correctly categorize your expenses.
Do share your thoughts on this thread if you've used any of these features

When we started Shipper 55 days ago, it was basically a text box that spat out React code into a sandbox. No onboarding.

Since then, things moved fast. The first wave of feedback told us two things loud and clear: people wanted easier ways to get started, and they didn t want to lose their progress.

Traditional professions like doctors, judges, and the like need specialised academic guidance (certificate) + experience. I agree.

But what about technical and humanities? So far, everyone has argued that a university will bring contacts (I'm not arguing, that's true... but the same can be done with hustling/projects).

Hey Product Hunt community!

I'm excited to share Postage.to with you all - a web app that bridges the digital and physical world by letting you send real letters to anywhere in the world, directly from your browser.