Connect with the Product Hunt community

I was wondering where I can see the last new posts on Producthunt. Especially the new projects that are being launched. I'm very much interested in the newest project, because the ones on top of the leaderbord already are known by many.
Thanks for your help, greetings Verdictfootball

I spend a lot of time on the investor side of the table, and the thing that surprises me most isn't bad decks. It's good founders following bad advice with total confidence. Someone they trust told them to do it, so they don't question it. Then they watch a raise stall and never connect it back to the "tip."

A few I run into constantly, and what I think actually works instead:

If you caught the Conversation Radar post, you know the premise: AI engines cite people talking about brands, so we built a radar for those conversations.

But there's a second half to AI visibility, and it's the one brands keep asking us about: the content you publish yourself.

Here's the honest version. Owned content works harder to earn a citation than third-party content does. We've tracked 13,000+ citations across ChatGPT, Perplexity, Gemini, Copilot, and Claude, and brand articles DO show up in that set. The ones that do share a shape: they answer one specific query head-on, they carry real facts, and they cover the query from multiple angles, not one post.

An AI landing page is often structurally useful long before a campaign is final. When the offer changes, HtmlDrag helps teams bring existing HTML into a visual working copy, update the visible campaign layer in context, add a table, image, icon, text, button, or link when it clarifies the decision, preview the complete page, and export the reviewed HTML.

The result is a focused finishing pass instead of a full rebuild or another generic prompt.

Real-time voice AI has always forced a trade-off: fast, natural, or cheap pick two. Murf AI's Falcon 2 to kills that trade-off entirely.
What it does

Falcon 2 is a real-time text-to-speech model purpose-built for voice agents receptionists, call centers, support lines, conversational AI running at $0.01/minute, about a fifth the cost of comparable models.

PH Community!

Last week we built us a tool to see exactly what our LLM calls cost.

Meridian finished as the #1 Product of the Day on Product Hunt.
The rush, the overnight exitement, the hype and the time was amzaing. Watching the votes come in, responding to comments, and seeing people share Meridian made the long night worth it.

The ranking was exciting, but the real value came from seeing developers connect with a problem we had experienced ourselves: debugging, code reviews, fixes, and unplanned tasks often go unrecorded, even though they are essential to moving projects forward. Being #1 gave us visibility and validation, but it also raised a bigger question: what happens when the launch-day momentum fades? The badge is temporary, so the real measure is whether that attention turns into lasting growth.

Guys did you saw the guys who built the outbid website, like the million dollar page but you can bid to be first, it blew up and he made 150k$ + and it's coming up.

That prove one thing, sometimes it's the simplest ideas that work's the most !

The feedback black hole in creative projects...
You leave a comment.
Someone makes changes.
A new version appears.
A few weeks later, nobody remembers why that decision was made.
For creative teams, reviewing is not just about adding comments - it s about preserving the thinking behind the work.
Curious:
How and where does your team review images, videos, or creative assets today?
And the bigger question:
Does your review history stay connected to the project?

Solo dev here. We hand-made 137 animation groups per species, six species, 5,242 frames, for a habit app where the progress bar is a pixel pet.

Then our founder said: we made all those special animations and I never see a single one.

I assumed he was wrong. He wasn't. signature_move_played had fired once in the app's entire history. The cause was arithmetic, not art: a pool weight of 8 out of 108 with a selector ticking every 7 seconds meant a ~90 second expected wait. Our median session is 59.5 seconds. We had built twelve animations that a typical session could not reach.

Fixing it surfaced four more defects. But the one that still bothers me is meta: our own detectors produced ten false alarms during the work.

OpenBox.ai is live on Product Hunt today with major product updates!

We ve expanded OpenBox from a runtime governance layer into a framework-agnostic control layer that teams can use across their existing AI agent stack.

:

8+ integrations with Temporal, LangChain, LangGraph, CrewAI, Mastra, Deep Agents, CopilotKit, and n8n

I think a lot of people want to build startups just for the sake of building a startup.

They have an idea, build it, launch it and then wonder why nobody wants to pay for it.

Hey!

We re running Agent Games, our first Agentplace hackathon, Sept 11 14.

72 hours to build an AI agent for a real business.

You can now translate your Payload CMS content from Lingo.dev.

The Payload CMS integration connects your Payload instance to a localization engine you host on Lingo.dev. Choose the collections and globals to cover, and Lingo.dev translates their localized fields into your target languages, then writes each translation back to Payload under that locale. Rich text translates as a Lexical tree, so formatting, links, uploads, and block structure survive the round trip and only the text inside is replaced.

Setup is one plugin. Install lingo.dev/payloadcms, add it to your Payload config, and redeploy. Scope, locales, and engine live in the dashboard, so you can change them without touching your config again.

A French user asked Google AI Mode: "une plateforme SaaS tout-en-un sp cialis e dans l'intelligence de visibilit IA et le SEO"

Google's AI generated a ranked list of the top 4 platforms in 2026.

Rankfender came in at #1.

We launched YourSitee today after more than two years of building it with a small team in Hungary. We wrote a blog post (a very good one actually): https://blog.yoursit.ee/introduc...

We don't want polite launch-day feedback. We want to understand what would actually make someone leave Linktree, Beacons, or a personal website builder and move their page somewhere else.

When you launch a product as a solo maker, you mentally prepare for the usual challenges: crickets on launch day, low conversion rates, or fighting for early feedback. What you rarely prepare for is a scammer cloning your entire landing page, embedding malware, and trying to hijack your search traffic before you even reach scale.

Here is the story of how DevCleaner went from a tool built out of personal frustration on macOS to a paid utility with global customers - and the weird lessons learned along the way.

The Problem: The Invisible Disk Eater

If you write code on macOS, you know the struggle:

Hey Hunters

Big announcement: we're looking for design partners for the company brain we're building at Unabyss!

After improving performance on our main platform, we're seeing more people use it every day - so it's time for the next step.

Memory (or context) is a very interesting problem in AI, but not for the reason most people think.
This is the first layer that needs to be EQUALLY READABLE BY MACHINES AND HUMANS (opinions are my own).
I have done an extensive analysis of the current products in the space, some of which are heavily funded like Mem0 or supermemory.
Current focus areas include making retrievals faster, hitting benchmarks, expanding the product surface (all valid problems).
But they're all missing the human-agent interaction part.
Right now, memory works like this: you give an context engine your memories as a dump and then it does its thing and start providing your agents the required context.
But keep doing it for a while (in any product of your choice) and then slowly it becomes a junk drawer where you know you put something but where was it, why did you add it, who changed it, poof. Good luck at that point.
This is one of the areas I'm obsessed with. How do we make context engineering as simple as a perfectly organized notion, and still ridiculously easy for agents to retrieve as well.
What I keep wrestling with in my mind these days: Imagine you are an AI-native individual with 100s of documents and dozens of ongoing clients, is a knowledge graph really the right abstraction?
What "context abstraction" would you want if you are working with agents day-in day-out?

Road to 1,000,000 Votap users - Day 79 | Current: 1467

Technical release focused on improving local AI memory management, compatibility, and build performance.

A lot has changed since our first launch!

Hello, fellow Vibe Coders. I am a new Vibe Coder who left the handmade shoe industry in Korea to embark on a startup journey. I d like to share a record of the past two months or so.

As I am Korean, I am using Google Translate to generate the English text for each paragraph; I ask for your understanding.

1. In the two-plus months since I started using Claude Code, I have built nine simple apps; I released three of them on iOS and five on Android. This count includes projects I abandoned midway because they became too difficult.

2. The total number of downloads is just over 200, and I ve generated one paid subscription and $15 in AdMob revenue. These are the results from June through July. I hope this post will serve as a record of my early, modest beginnings.

1 min demo

Grab it here https://chatgpt.com/plugins/plug...