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Hey Product Hunt community!

I'm the co-founder of Orchestria. While Batu is managing the main launch discussion, I wanted to open a highly technical thread with the engineers, builders, and music producers here regarding our architectural approach.

When we looked at the current generative music space (Suno, Udio, etc.), we realized they all hit the exact same brick wall: they treat music like pixels, rendering a single, uneditable stereo file.
We knew that for real studio production, this is a dead-end. Creators don't want a final master; they want modular components.

To fix this, we avoided standard prompt-to-audio wrappers entirely. Instead, we built an agentic audio pipeline that spins up real, professional-grade, headless VST instruments (like Vital and Surge XT) directly inside our production servers.

I will go first.

Page views.

For months, we reported page views to our investors. The number went up every month. It looked like progress. It looked like growth. Everyone was happy.

Then we looked at what was actually happening. People were landing on the blog, reading one post, and leaving. They were not clicking on the call to action. They were not signing up for the trial. They were not coming back.

They say the best investment is in your health. (I agree, although I have to admit I don t really stick to that myself.)

Right now, health is mostly being supported at the level of:

physical fitness (workout apps, weight-loss tools, smart devices for heart-rate tracking, step counters)
mental health (e.g., digital detox apps, a personal therapist in your phone)
longevity (more of a long-term process, experimenting across different areas)

From @eric_provencher 's announcement post:

A couple of months ago, I was approached by @romainhuet, OpenAI s head of developer experience, to join his team and help push my vision for building with these models on a scale that I could never achieve on my own. Of course, before agreeing to anything, my first request was to ensure the dedicated users of Repo Prompt, who supported my journey until this point, were taken care of. If you re reading this and you purchased an annual or lifetime license, check your inbox!

I've been an active user of Repo Prompt since I hunted it, and while I'm a little sad that it'll no longer be maintained, this bodes well for OpenAI Codex users.

A lot of teams already manage work inside Gmail and Google Workspace. Customer conversations happen in email threads, follow-ups come out of meetings, and project coordination lives across tasks and boards throughout the day.

Keeping CRM records and project workflows aligned with all of that activity still takes a surprising amount of manual updating afterward.

Back when I worked in advertising agencies as an idea maker and copywriter (creative), I cared a lot about my CV and portfolio (honestly, I wanted to include almost every project I worked on, as many things as possible).

But whenever I wanted to add something, I realised that many of those projects were team efforts and not entirely my own.

no one asked actually but to be honest i think i had to say something cuz i kinda feel bad that all the support i got here just went away...
right now if you visited the domain finkitty.com you will find out that its listed for sale, i took this decision after a very long sitting with myself and ended up deciding that since im not having any users in this app i might just kill it and shift my focus into something else (working on templateson.com now)
yet im still holding it inside cuz i do like the name of this app and i feel like it has very good potential and i just cant see it..
so... if you have any great idea for an app named "FinKitty" please let me know
thanks

I have recently launched a lot of new features into Bitgrain. In case you happen to be a user who have used this product, would love if you could give your honest feedback on the product.
Here's the feedback link: Feedback form
Thanksss a lott in advance! : )
(PS. I would be giving away a month of pro subscription to a few users from this )

Last week I attended Tech Week for the first time in my city and had a great time!

I was surprised by how much value came from conversations that weren't planned.
It feels that in a world accelerated and misconstrued by technology, the best way to establish trust is often to meet face-to-face.

For those who regularly attend Tech Weeks, startup events, or hackathons:

Three months ago, we had a backlog full of AI features. Auto-generated mood summaries. Predictive journaling prompts. Smart scheduling for reflection sessions. Voice tone analysis. The works.

Every feature demo'd beautifully. Our team was excited. Investors loved the roadmap.

One year ago, we launched Pretty Prompt here on Product Hunt without a strategy, a deck, or even a proper plan.

We were actually building something else at that time...

We've been getting the same request over and over from our users: "My AI gives great answers, but it can't actually do anything."

It got us thinking most AI integrations today are still essentially fancy search boxes. The AI talks, the human acts. But the real unlock is when the AI can close the loop itself query the database, send the email, update the record without a human in the middle.

The hard part isn't the action itself. It's the non-determinism. How do you build a system where the AI decides when to act, which action to take, and what parameters to pass based purely on context without it going off the rails?

A few things we've learned building this:

Hey everyone, thank you to everyone who followed, upvoted, commented on, or checked out DCP this week.

DCP is a control layer for AI agents.

We launched, we won, we almost lost ourselves. This is the honest story of building AI Context Flow after the spotlight faded.

Six months ago, we launched on Product Hunt. We were excited and nervous in equal measure , not sure what a community that has seen everything, every single day, would think of our product. Now, looking back, six months felt both incredibly long and impossibly short. A lot happened. Just consider how many AI launches have come and gone in that time.

Hey, Product Hunt Community
1. Argentina: Startups lose knowledge as they grow. Manual documentation doesn't work. Need a smart tool for automatic knowledge capture and retrieval. Willing to pay from $25/month.

2. USA: Moving with furniture is a weeks-long headache. No service picks up everything and pays fairly. Willing to give up to 50% commission just to get rid of this pain.

3. Andorra: Centralized tracking of tasks, time, and attendance for field staff. No unified dashboard, manual entry leads to errors and wasted time. Ready to investin a solution.
Best,
Boris
ProblemHunt

I am possibly preparing for marketing my own tool (a Chrome extension) and collect the activities I can use for future visibility and possible purchases.
Right now, I am thinking about basics:

• SEO within the plugin (name, description, description in the Chrome Store + visuals)

• Listings in directories

• Reddit mentions

• Building in public

I am aware that it is not sufficient, and there will be much more work.

We try to estimate impact and we try to assess effort.

But most evaluations happen with:
Limited data
No real validation
Weak assumptions

The web is the worst tool in AI, I can prove it. And we're building an AI alternative at Nebils called global memory architecture to give you access to the maximum truthful information from AI. Nebils is an AI social network for humans, agents, and models.

But will you invest in us? We're running out of money.

Hey PH

Quick context for those who haven't met @Foyer yet: we built it because we ran into our own problem at @ReachLLM. We were getting AI traffic, but visitors were landing, scrolling, and leaving without converting. The website was mute.

So we built @Foyer. One line of code. Your site becomes a sales executive that speaks to visitors, navigates them through your product, and closes the deal. Not a chatbot. A closer.

I'm making the into video for @Bitgrain using @Bitgrain itself : ) Let's see how it turns out! The product video using product itself hahaa.
Btw if you haven't tried it out already then go ahead try it out https://bitgrain.app ^^

Hey everyone

ClawOffice was a bit of a gimmick - a 3D virtual office for AI agents. It was fun to build and got some attention on launch, but let's be real: it didn't take off. People thought it was cool for a minute, then moved on. No real retention, no real problem being solved.

Here's what I actually learned from it:

• Novelty value. A cool concept gets you a launch day. It doesn't get you users who come back on day 30.

• I was building for the demo, not the workflow. ClawOffice looked great in a screenshot. It didn't solve anything measurable for anyone.

• "What gets tracked gets improved" is real. The founders I talked to afterward all had the same pain - they were shipping features and running experiments with no clue what was actually driving revenue.

Hey folks, we're currently rolling out Causo but for GTM: agents that understand your business, find companies you want to reach, get intel on the right people and write to them.
Yes there are many tools like this: vibe gtm, AI growth engineering, AI SDR, etc. I tried so many and my main gripes were:
-often it's oops just Apollo again
-requires 5 different tools stitched together to actually work
-dead leads, false positives, bad intel
Causo for GTM is a build out from our internal tool. If you've used any AI GTM or sales tools before I'd genuinely love to hear what worked, what didn't, what would you wish for.
Happy to reward folks with early access discounts when we onboard you:)

In the AI era, it is no longer so difficult to finance things from your own resources bootstrapped (except for promotion or hardware-intensive solutions).

I have always saved money and tried to do things myself (what I didn't know, I learned to do to save on financial costs).

Most enterprise AI governance conversations focus on the wrong layer.

The hard part is not showing a dashboard with model usage. The hard part is building a control plane that still makes sense when someone joins, leaves, changes teams, or works in a different workspace. If the system cannot handle first boot safely, cannot revoke access cleanly, and cannot keep provenance inside your own infrastructure, then it is not really governing anything.

That is why the current LineageLens direction feels more like infrastructure than analytics. The backend now has a setup guard so the product stays locked until the first admin exists. It supports workspace-scoped invites, registration can be disabled, and token rotation means old sessions can be invalidated instead of lingering forever. On the capture side, even the free local extension preserves confidence and source, so evidence is not flattened into a raw diff.

I think that is the right shape for enterprise AI provenance. The important question is not what model wrote the code? It is who had access, what workspace was it in, and can we prove that the evidence still means something after access changes?

"When context needs 10 screenshots, communication is already broken."

Too many screenshots going back and forth context gets repeated.

Need to explain same issue again and again.

Back-and-forth slows resolution