Share me your Saas. I’ll try everyone
Put it in below format
Link - Tag Line
https://www.hyperdocs.io/ - FREE AI Documentation Software
I’ll share Free Product Docs Tool for the needed ones 😀
We're a small team of 5 people but we have chaos in our workplace. I'm constantly stuck in "task management mode". The question is: is there any AI SaaS or a tool out there that is solving the issue of task creation, updates, assignment and etc without installing bunch of agents or stupid prompts and is integrated quickly for the whole team? We currently use Slack and Jira.
Hey r/webflow I'm the founder of Neue World here (Webflow Enterprise Partner, Dubai), so some of you might recognize the name.
Side project turned real thing: I've been building \*\*Flozi\*\*, a tool for tracking and improving how your sites show up in AI search (ChatGPT, Perplexity, AI Overviews); basically the "is my client's site even visible anymore" problem that's been creeping up on every agency I talk to.
It's in beta and genuinely not done. I'd rather get it broken now by people who actually run client sites than polish it in a vacuum for another two months.
So: \*\*3 months free, no card, for the first batch of people willing to actually use it on a real site and tell me what sucks.\*\* Bugs, confusing UX, wrong data, "why would I ever use this"; all useful. I'll be in the comments.
Limiting this to 10 users - DM me on why you want it and I'll send a link for you to register and sign up.
https://getfilly.app
I built this AI form filler app after my friend who is an immigration lawyer started compiling filling similar applications forms over and over. I first made a standalone app for him which he loved and based on his feedback I made Filly Ai
Please check it out and give a feedback 🙏🏻
It was a Monday, I spent nearly two hours moving information between AI tools.
Not because the work was difficult. Quite the opposite.
I had perplexity researching competitors, Claude helping me think through positioning, Codex writing code, and a growing collection of notes scattered across documents, screenshots, and browser tabs.
The AI was doing great.
I was the problem.
Or more accurately, I had accidentally become a middle manager.
At first, I didn’t notice it. The workflow felt normal. I’d ask claude to analyze a competitor, copy the findings into a document, send a summary to chatgpt, ask it to generate images, take the best ideas, move them into another document, then switch to codex to update parts of the product.
Every individual interaction felt efficient.
The overall process was not.
Around lunchtime, I realized I was spending more time moving context than making decisions.
The AI wasn’t waiting for answers.
The AI was waiting for me.
Whenever I switched tools, context broke. Each model knew something slightly different. Every conversation required setup. Every task required explanation. Every new agent started from zero.
The more AI tools I adopted, the more coordination work I created for myself.
That’s when I started wondering whether we were solving the wrong problem.
For the past few years, the industry has focused on making models smarter. And to be fair, they’ve improved dramatically. Today’s models can write code, conduct research, generate designs, and reason through complex problems.
But intelligence is no longer the bottleneck.
Coordination is.
Imagine hiring five brilliant employees and forcing them to work in separate rooms. None of them can see what the others are doing. None of them share context. Every time you want them to collaborate, you have to manually relay information between them.
That’s essentially how many of us work with AI today.
The problem isn’t that the agents aren’t capable. The problem is that we’re still acting as the communication layer. What struck me was how different this felt from working with actual teammates.
When I work with people, I rarely spend time packaging context. I point at something on my screen and say, “Can you look into this?” We both see the same thing. The conversation starts from shared context rather than explanation.
That made me question why AI interactions are still built around chat windows.
Why am I opening another application to discuss something that’s already visible on my screen?
Why am I describing a bug that the system could see?
Why am I pasting screenshots when the screenshot is already right there?
The more I thought about it, the more chat started to feel like a temporary interface.
Not a destination.
A bridge.
The command line was once the primary way humans interacted with computers. Then graphical interfaces arrived and changed everything. People didn’t stop computing. They simply stopped typing commands for every action.
I suspect we’re approaching a similar transition with AI.
Today, we prompt.
Tomorrow, we direct.
The future may not be about opening another chat window and writing better prompts. It may be about working alongside teams of agents that already understand the context around them.
The human’s role becomes less about transferring information and more about providing direction.
Less explaining.
More deciding.
Less coordination.
More judgment.
The irony is that AI was supposed to remove busywork. Yet many power users have found themselves doing a new kind of busywork: coordinating intelligence.
The next wave of AI products won’t win because they have slightly better models.
They’ll win because they reduce the cost of coordination.
And if that happens, the most valuable skill won’t be prompt engineering.
It will be learning how to direct teams of agents effectively.
That’s the shift I’m watching most closely right now.
Over the past few months, while building Denker, we’ve spent less time thinking about models and more time thinking about interfaces. Not how to make AI smarter, but how to make working with multiple agents feel natural.
What happens when agents can see the same context you’re looking at?
What happens when they can coordinate with each other instead of forcing you to relay information between them?
What happens when assigning work to an agent feels as simple as pointing at something on your screen and saying, “Take care of this”?
I don’t think we have all the answers yet.
But I do think the future of AI looks less like a collection of chat windows and more like a team.
And the companies that figure out how humans direct those teams may end up defining the next generation of software.
That’s the future we’re exploring with Denker. Follow us on Product Hunt. We are launching soon!
I’ve been building Aristotto, an AI creative platform that has become much bigger than the original idea.
It started as “one place to generate AI images and videos,” but I kept running into the same problem: generating something is only step one. After that you still need to edit it, reuse it, organize it, turn it into content, turn it into ads, share it with a team, and keep iterating.
So I’m building the full workflow around that.
Right now Aristotto includes AI image/video generation, avatars, effects, reusable creative assets, a media library, team workspaces, and a Video Studio.
The Video Studio is a big part of the direction. The goal is that anything you generate can go straight into the editor, where you can stitch clips together, extend/prolong shots, add audio, apply effects, add captions, and build actual videos instead of just downloading disconnected outputs.
I’m also building Marketing Studio, which is currently behind a feature flag and will be enabled for beta users in the next couple days.
Marketing Studio is focused on making product/app ads: upload or paste a product/app, generate ad concepts, test hooks, create UGC-style videos, and turn generations into usable marketing assets.
I’m giving selected beta users a paid subscription / credits during the beta. I’m specifically looking for active users who will actually use the credits, push the platform hard, try different workflows, and tell me what breaks or feels confusing.
Best fit testers are probably:
- founders
- marketers
- creators
- ecommerce/product people
- agencies
- people making short-form content or ads
You can try it here:
https://aristotto.ai/join-aristotto-beta
What I’d love feedback on:
- Does the overall platform make sense, or does it feel too broad?
- Is the generation-to-video-editor workflow clear?
- What would you expect from a serious AI video editor?
- Does Marketing Studio sound useful for real ads/content?
- Would teams/workspaces matter for your use case?
- What would make you come back and keep creating regularly?
There is a lot more coming, but I’d rather build the next parts with real beta users than guess alone.
I’ve been building a platform called **HEXIUM AI**, and I’d love honest feedback before I invest more time into it.
The idea is an **AI Business Operating System** that combines:
🤖 AI agents
🌐 Website generation
⚡ Workflow automation
📈 Business planning
🚀 Business launch tools
Instead of using 10 different tools, the goal is to have everything in one platform.
I’m currently in beta and trying to figure out:
Is this something founders or small businesses would actually want?
Which feature would be the most valuable?
What would stop you from using it?
I’d genuinely appreciate brutal feedback.
*(If anyone wants to see what I’ve built so far, I’m happy to share screenshots or the beta link.)*
Hello everyone, I build a tech-startup which is focused on bringing in all your documents from different sources into one single source of truth (based on the open source paperless-ngx project) and having an AI assistant behind it which does all your paperwork. The AI assistant does the tagging, and sorting of your documents, you can chat with your documents, the assistant can reply to mails and attach all the necessary documents, and more ... .
The best part is, that it is all backed by EU law and is completely EU sovereign. Right now I am starting to migrate it into a EU sovereign AI platform which we build on our own. Privacy and security first.
I also recorded some demos on it, if you like, you can see it in action on paless.eu .
What do you think about that project ?
I am a founder and a developer, created a SAAS having Zero-Knowledge client-side encryption. That means, every confidential data or even files will be encrypted before leaving the client browser using the key entered by the user. Only the users can decrypt the data using the key they had used.
I have provided lot of configuration options while creating that secrets such as expiry, burn on view, custom address, key hint, etc. User can get notified that they have received the secret if the recipient mail entered.
User can enable two factor authorization from profile to enable extra security. The codebase kept open source to review the implementation if any doubt is there regarding the security.
Suppose, you have one document that you want to access securely from any device. You just have create the secret and then using the generated URL and the encryption key, you can access it from any browser. It is even responsive on mobile screens. After creation of secret, it even gives the qr code, that can be used to redirect on the URL.
My SAAS is new and I need your advice to make it better. There is not even single unique logged in user, some users created secrets but never logged in to the system.
What can I do more, so that the users would like to use my system again and consider paying it?
app url: https://ilusion.io
Github URL: Open-source github link