In a notable shift in the AI landscape, Apple and Google have announced a multi-year collaboration under which Apple s next generation of Apple Foundation Models will be based on Google s Gemini models and cloud technology.

According to the joint statement, these models will help power upcoming Apple Intelligence features, including a more personalized Siri, expected later this year.

Hey everyone!

I'm planning what's next for Flowdy a keyword highlighting tool for Shopify product pages.

I'm considering building a partner program with commission for agencies and freelancers who work with Shopify merchants. But before I do, I want to make sure it's something people actually want.

Building a team or want to join a startup? Let's kick 2026 off to a great start.

Founders, teams, and startups drop a comment if you're hiring.

It looks like OpenAI may have acqui-hired the @Cline team. It's not currently clear what that means for the future of the AI coding agent as a project, as their team members are now on the @Codex by OpenAI team.

Any open-source alternatives? @Kilo Code? @Zed? else?

First day back with my co-founder Charlie, and we showed up ready to build!
Feels a bit like the first day back at school: excited, a little nervous, ready to dive in .

I'm building My Financ , which is a tool that allows you to understand your finances, and plan for the future.

I launched on PH in September, got some users and have been iterating.

Wordware tends to appeal to people who want more control over how AI logic flows through their work. Less magic, more intention.

If Wordware is something you rely on, share how you are using it. What workflow did you build that felt worth keeping?

Relay shows up when workflows start to feel brittle and you want something more intentional than a chain of rules. It is often about coordination, not just automation.

If Relay is part of how your work moves forward, tell us what it is responsible for. What does it orchestrate? What used to fall through the cracks?

Airtop often shows up when workflows need to interact with real interfaces, not just APIs. The kind of automation that feels closer to how humans actually work.

If Airtop is doing real work for you, tell us what that looks like. What task did it finally take off your plate?

Gumloop often replaces the custom but fragile scripts people were maintaining themselves. It gives structure to workflows that used to live half in code and half in someone s head.

If you are using Gumloop, share what it is doing for you now. What workflow did you finally stop babysitting?

Lindy usually earns its place by handling the kind of work that is repetitive, interrupt driven, and easy to forget. The stuff that eats time quietly.

If Lindy is part of your workflow, tell us how. What does it handle for you automatically? What do you no longer have to remember?

This summer, we made a bold decision to launch on Product Hunt. The problem? We had zero idea how to actually do it.

Well, almost zero. Our CTO @mokosiy was a massive Product Hunt fan, and his enthusiasm was our only compass. He armed us with the right stack: Cursor for code, PostHog for analytics, latest .NET and Avalonia to build the gorgeous app.

The Reality Check By August, the "Launching Soon" label we were banking on had vanished. We were flying blind. That's when the real work began. I didn't just read the guidelines; I followed them to the letter. We had to change the date of the Product Hunt launch five times. We realized that we weren't ready.

I use Cursor. I ve tried Codex CLI. I ve played with Gemini CLI.

They re impressive at generating code.
They re bad at remembering work.

Every new session starts with:

• re-pasting requirements

• re-explaining decisions

• re-linking docs

• re-defining scope

Here s something that surprised us.

AI systems don t just run, they age.

We often see launch posts, milestones, and success stories.
What we don t see as much are honest breakdowns of products that quietly stalled or failed.

I feel there s a lot of learning hidden there about timing, assumptions, and trade-offs.

We ve been growing really fast (30%+ MoM ARR) at @Basedash since launching last year. Most of that growth has been the result of hard work, but we ve also had a secret weapon: an AI agent that acts as both a data analyst and a PM, working 24/7 to optimize our product s activation and conversion rates.

For decades, companies have been making product decisions based on intuition and manual data analysis. We wanted to see what would happen if AI could take the wheel completely.

Hey all,

15 years ago I wrote an article about the rise of a more social web for Huff Post.

I came across Deutsche Bank s latest report on AI, and it sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years?

The report highlights a fascinating divergence: the view from money vs. the view from science.

• Money: the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable.

• Science: the probability inferred from research papers and AI development models. Experts are far more cautious, suggesting the realistic probability is only 20%.

Whenever I browse product launches, I somehow subconsciously judge not only the product itself and its quality, but also the quality that is reflected in the effort the makers put into preparing it.

It may sound insignificant, but in my case, these things also make a significant difference:

• Icon GIF at the launch it enlivens the overall impression and is dynamic

• Quality graphics and video

• First, a properly filled-out comment

• Photos in the makers' profiles (it's less trustworthy for me when there's only the letter "J" or something similar)

• Whether any of my contacts or acquaintances on the platform reacted to the launch

I joined Product Hunt about 2 months ago, and ever since receiving my first compliments and comments on our recent product launch, I ve truly felt how nice and supportive people here are. Everyone seems open to discussion, willing to help, and genuinely curious about what others are building.

At first, I thought it would be really hard for a newcomer like me to join such a big community. But it turned out to be much less strict than I expected - actually, it feels like a place with so much potential for us to grow together.

Every day on Product Hunt, I feel like I m learning or discovering something new. It s not just about upvotes. It s about ideas, feedback, and seeing how others think and build.

For a lot of people, Zapier is the quiet backbone. The thing connecting tools you do not want to think about connecting yourself.

If Zapier has been doing invisible work for you, this is the moment to surface it. What automations are still running months later? What would be annoying to rebuild from scratch?

For teams using Taskade, it often becomes the place where planning turns into action. Tasks, automations, and AI features all living in the same loop instead of scattered across tools.

If Taskade is part of how you run work, tell us how. What workflow did you set up that stuck? What changed once it was in place?

I m experimenting with something new in Trace.

Instead of asking people to check another app, Trace now sends a daily email with the most relevant things for their interests from across the web.

Same idea as the feed:
you tell it what you care about
it adapts based on what you read or skip
no trending-for-the-sake-of-it
meant to be read in a few minutes, then closed

I m curious:

Every year I reflect on how I spent money in the previous year. Previously, I have manually scraped my bank statements and put together a report, but 2025 was interesting because I built a fairly overkill personal finance product to make this report easy to generate for myself.

Because it is really easy, I m going to do a deep dive on how I spent money in 2025. (I was able to put this all together in ~10 mins)

Hi everyone! I m Hansi, founder of You2Mentor. I started this platform to bridge the gap in mentoring. Most people either don t have access to mentors, or the mentoring they get is limited to the organisation or the department they work in.

We re building a platform that helps individuals find mentors and supports organisations in running structured mentoring programs. Users can set goals, track progress, and grow skills in a meaningful way.