I know this topic has been here a million times (and people will still ask me a few more times after that).

I personally see advantages in both cases, but maybe one more advantage when it comes to launching during the week.

Very briefly:

This is something I ll find out in just a short while, one week from now (Jan 28), as I m about to re-launch a digital detox app. If you want, follow, maybe you will be on watch of my steps and activities

However, that s not the main point of this post.

Many people who want to achieve the Product of the Day badge prefer to schedule their product for a less busy day (aka, when there is less competition), but also less site traffic and product testing.

You may lose a little promotional opportunity this way.

Over the past month, I've been scrolling through several LinkedIn profiles and noticed how some people have long portfolios of businesses that say:

Founder

Founder

Not really much, and it annoys me a bit. In exactly 14 days (28. 1.) we will launch the product, and the only thing I do is talk about it.

But yes, there are points that I still want to master by then, e.g.:

• Create an informational newsletter inviting people to follow our product page

• Create a list of people who could support us and ask them for help

• Announcements on social networks

• Inform Kickstarter backers who supported us with updates this is also an audience

• Publishing a Product Hunt badge on the landing page

• Continually grow and maintain a personal brand which should be a long-term goal, not just for launch purposes.

I've been contributing to discussions every single day for over 3 years now, and sometimes it's really hard.

One day, I have a great time coming up with topics, and then there are those days when I just stare at the screen and can't type. But I always manage to find a way.

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.

There s one thing we re really good at as builders:
we constantly try to improve our work and our product every single day. But an honest question I often ask myself is: do we put the same effort into updating ourselves?

At Murror, we re a small team of around five people.
For me, it s important not only to improve the product, but to continuously update my mindset, skills, and learnings and share them openly with the team.

I try to communicate everything I learn, ask questions, and clarify problems as much as possible, so the product we re building becomes better, clearer, and more convincing for our users.

To do that, I try to practice a few things consistently:

I spend most of my time on these two things:
1) observing products on the main page and upvoting/commenting on them

2) talking with people within comments under my forums

The second one is the one where I notice some things that I lack and see possible improvements, namely:

Many products are hard to explain in one sentence especially to their own founders

You live with the idea every day.

You know the problem deeply.

When building AI agents with long-term memory, debugging is a challenge.

You know something was remembered but:
When was it created?
What replaced it?
Why is it being recalled now?

Why was it created as a memory in the first place?

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

LinkedIn officially shared the job titles that started appearing more often, and with the rise of AI, the market is restructuring.

The actual top 10 roles that have seen the biggest rise in listings (in the U.S.) are:

1. AI engineers Engineers developing and implementing AI models that perform complex tasks

2. AI consultants and strategists - Helping organisations plan and implement AI technologies to improve operations

3. New home sales specialists Which sounds like a rebranding or real estate agent

4. Data annotators Labelling and reviewing data for AI projects

5. AI/ML researchers Designing new AI models and systems

6. Healthcare reimbursement specialists Ensuring healthcare providers are getting correct and timely payments

7. Strategic advisors and independent consultants Which seems like a pretty broad-ranging segment

8. Advertising sales specialists You re reading a marketing blog, I assume you know this one

9. Founders Not sure this can be listed as a job title in itself, but LinkedIn s keen to highlight how people are shifting to their own businesses

10. Sales executives

Today, I read in the news that OpenAI is considering "expanding its data footprint" and possibly buying Pinterest, as there is a lot of data on it just for the sake of users finding inspiration (which can be key for purchase decision making and understanding personas Pinterest has 600M+ users).

I also take into account how Pinterest started to resent the proliferation of AI content there users do not like it so much (as far as I know, OpenAI also wants to have its own social network, and Sora curation is a bit reminiscent of that)

We recently discussed the changes that took place on the platform in 2025, so it s clear that the approach to Product Hunt will need to evolve as well.

Some features were removed, others were added, but there are still opportunities to gain visibility.