Connect with the Product Hunt community

One question I always have around a Product Hunt launch is how do you actually measure whether it was successful?

Teams spend weeks preparing for launch day and coming in the top 5 is obviously one way to look at it but I am curious what other signals people pay attention to. For those who have launched before, what did you look at afterwards to decide whether the launch was actually worth the effort?

Aaaaaaand we're live !!
Cristiano Ronaldo ? Satoru Gojo ? Donald Trump ? Minecraft Creeper ?

Elite your goat and bid on it.

I have build close 2-3 applications till now, none succeeded. But, while starting building or even starting to market, I never thought of making it big enough. It is simply because I was working on small problems and creating small solutions for it and to be honest, never wanted to raise investments.

But, in the startup and saas scenario, there are companies and saas with minimal idea have taken investments. For me, investments are a way with which you come under pressure of increasing your numbes faster. While indie saas owners can benefit all the profits themselves while never have to be under pressure when app or startup is down etc.

What do you think? Raising investment is a good choice for founders or when is investment needed?

Not "I prompted it to generate code and then edited it for three hours."

I literally mean: I typed what I wanted, sent some screenshots when things got complicated, and by the end of the afternoon I had a live website - copy, my actual Instagram posts, engagement data, a full documentary film section pulled from five different sources, and a published URL I could send to someone.

The wildest part wasn't the website. It was the Meta developer portal moment.

Instagram blocks unauthorized requests, so the agent explained how to connect via the Graph API. I told it upfront: "Explain it simply. I'm not technically skilled." So I just sent screenshots and it told me what to click, what to select, what the error meant. Getting from first screenshot to working token took under 20 minutes. The credentials got stored in a Cluing Connector, encrypted, reusable.

I've heard stories in the last 4 years as an email deliverability consultant that surprised me and sometimes scared me at the fragility of email, and how easily just one factor can severely hurt your business. Here's a few examples:

• Client who was a recruiter lost 2 deals worth $50K in 2 weeks because their client never saw their email in time because it landed in spam

• Large NetSuite ERP provider had a sales rep sending 50K cold emails a month using Gmass from his primary company email address which tanked the deliverability of the entire company

• Large industrial parts wholesaler had someone spoofing their domain which tanked their deliverability

Curious to hear what some of you have experienced and what you did to resolve it?

We just shipped Projects in Osaurus and it fixes one of the oldest annoyances with AI chat apps: starting from zero every time.

I opened Ahrefs a few weeks ago to check one number. Forg's domain rating: 43.

For something built mostly in evenings, that felt like a milestone. Google was starting to trust the site enough to rank it.

Then I checked something else, almost by accident.

Hey Product Hunt.

Murmell already runs Claude Code, Codex, Kimi, and OpenCode on the same cloud canvas. More agents are coming, and I want to prioritize what you'd actually use.

We read the AGENTS.md of the 100 most-starred repos that have one (27% of the top 1,000 do).

The consensus, in order of how much they write about it mostly: architecture and repo layout, how to test, build commands, dos-and-don'ts, PR etiquette, and code style.

Rankfender is now a legally registred Start-up in Greece.
https://registry.elevategreece.g...
We're applying for the EIT Co-Creation Accelerator 2026-2027 a European innovation program . We need a Challenge Partner: a European company that's been impacted by the shift to AI search (ChatGPT, Perplexity, Gemini...) and needs help improving visibility.

What you get:

• 1 year of Rankfender for free full access to track and improve your AI visibility

• Hands-on help we'll work directly with you to fix how your brand appears in AI answers

• Your company cited as a co-creator of a European innovation project

• Early access to new features

What we ask:

Every week we get the same request: "Can I just talk to the AI?"

They want a chat interface. A back-and-forth. Something that feels like texting a therapist at 2am. And honestly, it would be the easiest feature we could build. The AI is already there. The conversation engine exists. We could ship it in a week.

One of the things that I have done is instruct my assistant to give me an algorithm, data-structure, distributed-system, or system-design problems that align with my current project.

The goal is to define invariants, choose the structure, reason about complexity and failure cases, rather than have the assistant do all of the thinking.

Some that I recently worked on:

• Counting Bloom Filter design for a specified false-positive rate, deletion, counter saturation, and memory constraints.

• Consistent Hashing with Virtual Nodes distribute agent jobs/provider traffic while minimizing reassignment when workers enter or leave the pool.

• Topological Sort + Cycle Detection for Agent DAGs validate dynamically assembled agent workflows, detect illegal dependency cycles, and produce a valid execution order.

• Weighted Reservoir Sampling select representative evidence/content from a stream under bounded memory when items have different priorities or relevance weights.

• Interval/Dependency Graph for Evidence Invalidation propagate a changed or revoked source through dependent claims, proposals, approvals, and released artifacts without recomputing unaffected branches.

Since our last update we have doubled the number of explainers made to 20k and we hope today's PH launch can bring an even bigger group of users testing Explain. We also have a Chrome Extension and plugins with ChatGPT and Claude to make it even easier to create Explainers anywhere.

Check out the launch and join the conversation here

Hey everyone, Praney here, the maker of Vois.

Vois 2.x launches on Product Hunt today. The short version: a text to

speech studio that runs entirely on your desktop, with unlimited

Hey PH We're Baptiste & Samuel, and next week we're launching Capacity Desktop a free Mac app that turns plain English into real apps, built and stored on your machine.

The bet everyone tells us is wrong: move away from credits system. You plug in your own Claude / GPT / Open Router key and pay your provider at cost. Our take is that you feel the credits system is unfair, you never know what a failed fix loop just cost you, and you feel the tool profits from your retries.

I'll use my own story, because it's the one I know best.

At 17-18, I started multiple businesses, multiple companies, over two years. None of them serious.

A few thousand euros here and there. Nothing exceptional. But I kept going.

My current setup is basically:

Claude checks Codex -> Codex checks Claude -> ChatGPT checks both

I m not a developer, have someone who can help to verify and triple check security issues, but still so at some point I have to trust the AI which is exactly why I make them check each other about 500 times.

Hey guys, just launched my X account and really looking to build my network.

Drop your @ in the replies, tell me what you re building, and let s connect

I build SlimSnap.ai mostly with AI agents these days. This week I asked for a small change to annotations and the diff came back way too big for what I asked, so I asked why.

Launching Meridian and reaching #1 Product of the Day taught us how much preparation, clear messaging, and community support matter.

For makers who have launched on Product Hunt, what worked, what surprised you, and what would you do differently next time?
Product Hunt: https://www.producthunt.com/prod...

GitHub: https://github.com/Meridiona/mer...

AI clients can now manage agent memory, skills, ClawHub installs, workflows, playbooks, documents, folders, and archived bots directly through MCP.

The biggest unlock: DeployHermes can now use its own agents and tools to improve its knowledge, processes, and product. We re officially dogfooding DeployHermes with DeployHermes.

I ve been using Codex, Claude Code, and OpenClaw for different kinds of work:

• Codex (now @ChatGPT by OpenAI )is strong at long-context planning and execution.

• @Claude Code acts like a supervisor and a second pair of eyes.

• @OpenClaw is like my daily operations intern.

I know there are many other agent harnesses. Many are open-source, including OpenHands, @Pi Coding Agent , and Hermes.

Do you think the idea of setting up an MCP server to be able to use Local Panel s fantastic features alongside AI tools would be unnecessary, or would it be a very useful feature?

We re also thinking of running adverts for Local Panel where do you think would be the best place for that? I m sure it s not Meta.

In 2026 the bottleneck isn't code anymore it's the person typing the prompts. Here's what I do to keep that person functional.

A year ago, "I built a working app this weekend" was a flex. Now it's a Tuesday. Vibe coding went mainstream, agents write most of the first draft, and the gap between an idea and a shipped product has basically collapsed. That's the good news, and it's genuinely great.

Quick update since launch. I have spent most of this week improving reliability, Music.app integration and large library support. Playback with missing local files is now cleaner and should no longer trigger repeated Locate prompts. LMO can now detect moved or replaced files more reliably even when the Persistent ID has not changed, and repaired locations are updated without rebuilding the entire library. Health Check and orphan handling were tightened to reduce the risk of importing replacement files as new Music.app records. Duplicate cleanup was also improved so verified merges no longer create automatic backup playlists, while playlist membership is still protected before removing the duplicate record. I also improved saved Library Index restore behavior for very large libraries and fixed external drive diagnostics so sandbox permissions do not produce misleading unreadable volume results. A Track Flags diagnostic also completed successfully on a test library with 827,100 Music.app records and found no abnormal playback related flags. Most of this work was about making the existing tools safer and more predictable rather than adding more features.