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Product Hunt now flags comments that are AI-generated. Honestly, I think this is a good thing.

I am attaching a screenshot below that shows how AI comments are marked.

Hey Product Hunt!

Murmell is now live!

Still processing yesterday!

@Articos launched on Product Hunt and ended the day at #3 with 350+ upvotes.

Some context on the day: We launched alongside well-backed products @Monid @Claude by Anthropic Fable 5.1, @OpenClaw, and several from YC portfolios. Landing at #3 as a bootstrapped team was more than we expected going in.

Hey everyone,

Quick heads up: OpenObserve AI Observability goes live on Product Hunt this Thursday, September 10, at 12:01 AM PT.

We ve been building OpenMarket for the last few months, and today we shared the first research preview.

The idea is simple: products represented by agents that explain, compare, and compete on claims.

Introducing Aura by Neural - Intelligence is no longer an app. It s the computer.

With Aura, AI stops being a boring chat app you open and chat with, it's a presence that is just there and you can call it anywhere with a simple shortcut!

Hello,

Just a quick note on what changed :)

Main update:

Many makers have shared the same experience: posts about what broke are 1000x more interesting than posts about polished things that are working perfectly =D

And sometimes, nothing is actually broken.
You just discover something that makes you change direction.

For us, we built a CMS where users could create their own pages:

userpage/ourdomain.com

Your lockfile is the one part of a pull request nobody reads line by line. 0.33.0 reads it for you.

Now that we have some distance from the initial AI boom, can you say whether AI took your job or improved it?

I definitely felt the impact in the first half of 2024.

I know there s a p/introduce-yourself topic here on PH, but honestly, it s hard to meet everyone there.

So let s do it here.

Who are you?

What are you working on?

B2B marketing feels simple from the outside:

Post on LinkedIn.
Send cold emails.
Do SEO.
Run ads.
Build in public.
Go to events.
Start a newsletter.
Launch on Product Hunt.
Do founder-led sales.

Well, after this post, they probably won t be that secret anymore.

But there are still a few things not everyone knows about: 

WX 1.1 is out

Quick update for anyone who caught the launch. WX is a synth built around randomization, you hit a button, it generates a patch, and the interface shows you what's happening as a weather radar display. It was built for people who want interesting sounds without learning synthesis first.

Here's what's new:

I had Claude Code running behind a notes window. It reached a permission prompt and sat there while I kept working. I was on the same Mac the whole time.

That felt worse than missing a finished task. I was not away. The terminal was simply not where my attention was.

What s in the recent tab of your AI conversations?
Doesn t matter if it s about work, coding, planning, writing, or something completely random...

Just curious what everyone is actually talking to AI about =D

Mine was about applying late to Y Combinator for Fall 2026.

To be honest, I posted the question in p/yc and got rejected there =D

I d love to share a few things I figured out while preparing our Product Hunt launch - and I'd love for experienced makers and hunters to add their own advice.

Here s what I learned:

Cover video

If possible, include real people even briefly. Seeing the makers behind a product can create more trust and connection.

I m curious how other makers approach this.

The more features a product has, the harder it becomes to explain it without overwhelming a new user.

Do you:

guide users step by step
give them a simple starting task
let them explore everything themselves
use videos/tutorials
hide most features until they need them
or something completely different?

Very excited to share this with you all early: We've been working on a free, desktop database IDE for valv!

It is a file based database client that lets you

• bring your own agent

• connect your DBs and MCPs

• build HTML dashboards

• use codemode for complex analysis

• get citations for validation

• work on SQL, tables and more

• have your agents learn about your DB

• create git backed workspaces to share queries and dashboards with your team

All free, early for you before a full launch to download at https://valv.sh

I ve noticed a pretty big change in my own behavior over the last year.

If I m looking for a tool for something specific, I ll usually ask ChatGPT first, then check Product Hunt or Reddit to see what real people are saying. Google has become more of a second step for me.

What I m curious about is whether thats actually changing discovery for other makers too, or if I m just unusually deep into AI tools.

I run multi-client creative work (video, ad scripts, photography) and feedback always ends up scattered across WhatsApp, email, and Figma comments. Half the time nobody's sure which version actually got approved.
Curious how others handle this, especially freelancers and small agencies juggling several clients at once.
Is your bottleneck getting clear feedback, keeping versions straight, or something else entirely?

Maker update: Termexo v0.8.2 is out today. This release focuses on typing responsiveness while multiple agents produce output.

Output now uses one application-wide subscription with routing by terminal ID, reducing duplicate callbacks and UI work. History replay restores the terminal display without reprocessing old output through task, handoff, and startup readers. Draft persistence is batched, and terminal size ownership is handled on focus/click instead of every keystroke.

Also new: Claude 1M context configuration, separate Claude/Codex effort settings, per-terminal launch overrides, and direct agent buttons in empty workspaces. Actual context and effort support depends on the CLI, model, account, and provider.

Termexo is MIT-licensed and runs on Windows. Agent CLIs and model services need their own setup. Release notes and installers: https://github.com/gemron/Termex...

A few of you installed him on launch day and never touched him since. That's the point, but he's changed since then. Right click the plant, "Update", done.

What's new:

• He updates himself now.

• You can offer him to someone, with a note inside. Right click, "Offer a cutting". They get a link, the note opens when their plant sprouts.

• Fixed: when the plant ends up off screen, he comes back to the middle.

• Fixed: you can now park the plant against the edge, or slightly off screen, so he takes less room. The bubble follows him.

  If yours already says 0.2.15, you're good. Go pick who gets the first cutting.

If your agents work with images, documents, video, or structured records, not just chat logs, you've likely hit the same wall we did. Most memory tools treat everything as text chunks in a vector store. An agent walks into a repeat problem like it's the first time, every time, because the memory underneath it was never built to hold what the agent actually saw.

Aperture Nexus is our answer. It's built directly on ApertureDB, the unified graph-vector-multimodal database already running in production, so multimodal facts stay first-class instead of being reduced to captions or extracted text. Context, who, what, when, why, and how, is stamped on every commit. Every commit traces back to its original source, the image, the document, the actual session, today; lineage surviving across updates is a v2 item. Knowledge and Memory both live together in ApertureDB.

Most AI agent tools treat launch day as the finish line. You upload your knowledge, publish, and the agent just runs. Forever, as far as the system's concerned. Nothing ever checks back in and asks if it still holds up.

That's a real problem once an agent is actually making someone money. Knowledge goes stale, prices change, policies get updated, and an agent keeps answering with the same confidence whether it's right or not. Revenue coming in doesn't tell you anything about whether the knowledge behind it expired. If anything it hides the problem, because nobody goes looking while the money's still showing up.