Connect with the Product Hunt community

We ve added Tasks to ContextBerg for Mac. It uses your recent activity summaries and away-from-desk recaps to suggest what to do next.

Tasks:

• Refreshes on launch, every two hours while the app is open, or manually

• Keeps supporting context with each suggested task

• Lets you set priorities and reorder tasks

• Uses open tasks as context for future work summaries

We ve also added daily summaries and a setting to choose how long you need to be away before an away-from-desk recap is generated.

Sendr V4 has just gone live today - Lovable for GTM. Incredible release and congrats @johnbromley and the entire Sendr product team for this landmark moment, we're super proud to share this with you all!...

It's here. Sendr V4 is officially live!

V4 is here, and it's the biggest update we've ever shipped. Tell Campaign Copilot what you want to achieve, and it builds a complete, ready-to-launch outbound campaign with you: the strategy, the lead list, the sequence, and the messaging. Alongside it come campaign Analytics, a new Strategy tab, a Workspace Profile with Personas, and an upgraded SendrAI that makes every message sharper. And Copilot is 100% free to use throughout October.
Here's everything new:

Hi PH Two updates since the last thread.

Tamamon is on Windows. Same little pet, same growing as you build with Claude Code, now on Windows 10 (2004+) and 11, as an installer or a portable zip, still free. The Windows build isn't code-signed yet, so SmartScreen asks once; the download page explains why.

I joined Product Hunt in September, so it has been a little over a month. I was looking for a place to be active when launching products in English-speaking markets, and while I knew the name, I had never actually used it.

I have bought over 200 products on AppSumo, and some of them showed their Product Hunt ranking. That's how I knew of it.

For the past month I've been watching the products that launch here and the people who are active in the forums. From what I can see, there are a few ways to make a launch go well:

Hey all Thanks for your support during our first launch on Sunday.

What WikiFix is after is simple: when you open a doc, or ask AI, you should be able to trust what you get.

I've run a freelance marketplace in Japan since 2004, but all of it in Japanese. I joined Product Hunt in September to figure out how to reach English-speaking users, so today is day 26 for me.

I knew about selling through places like AppSumo, but I'd never really been part of a community like this one. A few weeks in, I can see two kinds of people here. Some just want to promote their stuff. Others actually want to help each other, and I'd like to be in that second group.

@busmark_w_nika and @adana were the first to really talk with me. Yesterday @adana remembered I'd applied to AppSumo and asked me for news in one of @rafik_mkhitaryan 's threads, and it turned into a long back and forth. I don't know many people in the English-speaking world yet, so that kind of thing surprised me in a good way.

For those of you who've been here longer, what made Product Hunt click for you?

I m building Inquir Compute, a platform for running apps, databases and background jobs in one workspace.

AI tools are helping more people write working applications. I m interested in what happens next, when you need to put that app online and keep it running.

If you ve deployed something you built with AI, where did you get stuck? Build errors, database connections, environment variables, unexpected costs or something else?

For founders who have launched on Product Hunt before:

How did you decide that your product was actually ready to launch?

Let's get to the exciting part first. Here are some recent product updates that help your coding agents work even more seamlessly with dif.sh. Get to it! it's time to learn and keep good product growth principles alive.

• Vercel Flags SDK adapter. @dif.sh/flags-sdk is now on npm. Users get the same variant whether they come through dif(), React, Svelte, OpenFeature or the Flags SDK. The JS OpenFeature server provider now publishes with each release, and we ve submitted dif to the OpenFeature ecosystem page.

• Better tooling for coding agents. v0.7.0 adds a triage skill that checks your running experiments, a conclude skill that reads results from dif Cloud, a Cursor rule and a Claude Code plugin. dif init --agents-only updates the agent files without changing anything else.

• GitHub Action. dif-action v1 builds and validates your experiment spec in CI.

• Starter repos for the Next.js App Router and SvelteKit, each set up with one flag.

• dif Cloud. A verdict engine that makes ship/kill calls and checks guardrail metrics, a read-only API with OpenAPI docs and read tokens, and an MCP server with OAuth so agents can ask for experiment results directly.

Here is the part that feels a little uneasy. Asking for help is hard... but it takes @product Community to build a product. So I'll keep this brief.
Give us a star on Github! https://github.com/dif-sh/dif
It takes a second and helps us a lot.
TY

We launched DocsAlot MCP on Product Hunt and finished the day in the top 5.

A few things stood out to me from working on it.

First, momentum really matters. The rankings move around a lot, so being active throughout the day makes a big difference.

Music Dawn 1.1.1 went live yesterday. I focused this update on small things that make it easier to catch and find an idea.

If you cancel while recording, the app now pauses and asks before it discards anything. Your folders are grouped under My folders, and you can rename or delete them with a swipe on iPhone or a right-click on iPad and Mac. Ideas is now a regular folder, so you can organize it like the rest.

Effects and presets are listed A to Z. Dialogs open more calmly, and Music Dawn can ask for a rating after your second recording. I also updated the store pages and search terms in nine languages.

The update is here: https://apps.apple.com/app/music...

The last release update I posted here was 0.17.9. We're now at 0.17.14, with a few additions and a lot of work on the small things you feel while editing.

Here's what's changed since then:

A signup tells us someone was interested, but it doesn't tell us whether they reached the part of the product that helps them. A user might leave because they got confused, or simply because the product wasn't right for them.

I think a short conversation with someone who didn't finish onboarding could reveal more than a funnel number alone. But it can be hard to get a reply from someone who has already left.

How have you found the point where new users get stuck? What did you change after finding it?

Most AI editors edit first. Aperture shows the plan and the exact lines first, then checks the change before you keep it.

I ve been shipping in public since launch (Background Composer is live). Not hiring full-time looking for collaborators, advisors, and people building their own tools who want fewer wasted tokens and real control.

If that sounds like you: reply BUILD or DM.

https://aperturesais.grok.me

I've been thinking about this a lot lately, especially working on AINA.

Even a few years ago, job hunting meant tailoring your resume manually and preparing for interviews mostly alone (or with a friend, or sometimes a coach if you were ready to invest).

Now AI is everywhere in the process. Candidates use it to rewrite resumes, practice interviews, and figure out why their applications aren't landing. Recruiters use it to screen resumes, write job descriptions, and even run first-round interviews.

Made a demo for Tipword and honestly it feels too perfect lol

What do you think?

Imagine discovering that your competitor appears in 40% of relevant AI answers while your brand appears in just 10%.

That's useful information, but it raises a bigger question: why is your competitor being recommended more often, and what can you do about it?

At Maximem, a frontier agent with multi-level judges builds a custom context architecture for each agent that uses Maximem. This ensures that you are not getting a generic memory system but one that is tailored for your agent's needs.

As a graphic designer, I look at products from two angles: how they look, and whether they make me understand why they exist before I lose patience.

A beautiful hero image catches attention. But that alone has never convinced me to stay.

Going through 50+ landing pages recently, I noticed a pattern in the ones that actually earned my trust:

The ones that worked answered "what does this do?" before I scrolled. Not with a tagline, but with a plain sentence a non-technical person could repeat.
The value prop wasn't clever. It named a problem I already felt, not a feature I had to imagine needing.
The next step didn't feel like a commitment. One page I almost left had a single button that said "See how it works", no email required. I stayed.

TechCrunch published a list of AI startups and products that set out to make it big in the AI world but ultimately failed to survive.

Those that didn t make it:

• Relay AI workflow automation

• Sora AI video-sharing platform

• Humane AI Pin Wearable AI assistant

• Huxe AI-powered audio and podcast-style summaries

• Yupp AI model comparison platform

• Figgs AI Customizable AI characters for role-play

• Character AI AI chatbot platform that filed for bankruptcy

• Notion Mail AI-powered email product

• ChatGPT Atlas Standalone AI web browser

A question for SaaS founders: If someone asks ChatGPT, What s the best tool for [your category]? , does your product show up?

And more importantly, do you know how often it does?

Most founders I talk to are investing in SEO, publishing blogs, and building backlinks. But there's another discovery channel emerging that is much harder to measure: AI-generated recommendations.

Here's how I'd approach measuring it.

As a growth designer, I look at newsletters from two perspectives: how fast they prove their value, and whether they make me feel like I m giving away my inbox for nothing.

Getting an email address is relatively easy. The harder part is designing a sign-up experience that promises genuine value without feeling like a bait-and-switch.

Going through 40+ opt-in pages recently, a few things stood out to me:

Most pages use vague promises like "Join 10,000 readers." A high-performing page tells me exactly what I will learn in the first issue.
The best opt-ins don't ask for a commitment upfront they offer a free sample issue or an archive link so I can test the waters first.
Trust matters: the pages that kept me engaged showed a clear frequency (e.g., "One email every Tuesday") and a visible "unsubscribe anytime" button.

It was great launch on product hunt again, thanks to everyone for your support!

Fina Business - built for every founder like you and me.

This will be a bit of a nostalgic memory moment.

I believe that most makers got into computers at an early age and worked in programs that may have already fallen into disrepair, but were crucial for their development and career direction.

Hey Product Hunt

If you first discovered EpicTopia here, you may remember our focus on planning goals and tracking progress. We wanted to share where the product is today.

EpicTopia is an AI journal built around a simple idea: Dump your mind. Meet yourself.

Start with whatever is on your mind. Say it out loud or write it down, and EpicTopia helps turn those scattered thoughts into a clear journal entry.