Yesterday went through this Tweet by Greg Isenberg.

There is an app called "rent a human."

Imagine that you are about to join a startup (before raising funds) as a part-time employee.
You are paid for work (compensation is like in any existing, well-established company in the industry, but you do not have regular employee benefits covering 401 plan, no equity, no health care plan, HO equipment fee, etc.)

You hope that after raising funds, you will become a full-time employee and receive benefits.

The shift toward "Vibe Coding" feels like we ve finally moved from being construction workers to being conductors. We are spending less time fighting syntax and more time sculpting the "intent" of our software.

However, as I ve been leaning into this AI-native workflow, I ve noticed a recurring tension that I d love to get the community s take on:

1. The "Black Box" Debt: When we "vibe" our way through a feature in 20 minutes that used to take 4 hours, are we unknowingly inheriting technical debt that will haunt us when the "vibe" inevitably breaks?

To work more efficiently and productively, we usually create some familiar patterns (habits) that shorten our time doing tasks (saving time and energy). This is also indirectly related to tools that make the work process easier.

What does your workday look like + tech tools without which you would not be productive?

News in the tech world gets old quickly. It's no longer relevant in 10 minutes.

What helps you quickly navigate the world of AI?

I caught the latest news about AI from:

We re usually very good at creating to-do lists for work.
But what about everything outside of work?

I ve started turning my personal habits into a checklist to build discipline and make these habits non-negotiable over time.

Here s mine:

I am trying to do something a little bonkers - I want to build an app when I am a bit of a technophobe! I am a product designer - so it's not entirely crazy but social media, online forums is all really alien to me. I'm looking to put the feelers out there to understand the demand for the idea - any tips or tricks?
The vague idea - without giving the game away....
People are incredible at tracking workouts, steps, sleep, macros

but somehow still stare at a single mug in the sink like it s a moral dilemma.

I m exploring an idea around why everyday maintenance tasks feel heavier than they are, and how the same psychology that keeps people hooked on fitness tracking might work for real-world chores.

The greatest invention of our time the smartphone has also become one of the biggest consumers of our energy and attention.

Being focused is now an art.

Here's an MCP server that lets you talk to Claude Code from anywhere you can negotiate a WebRTC connection (or make a phone call):

https://github.com/pipecat-ai/pi...

Here's an MCP server that lets you talk to Claude Code from anywhere you can negotiate a WebRTC connection (or make a phone call):

https://github.com/pipecat-ai/pi...

Hey everyone,

I've built my product around traditional SaaS pricing (monthly tiers), but I m starting to wonder if that model is getting outdated, especially with more AI-powered and compute-heavy tools entering the market.
That shift requires real architectural changes, instrumentation, metering, billing logic, and UI changes, not just pricing tweaks. It s something I m starting to seriously think about for my own product.

In particular, AI usage has real COGs (every prompt costs money), and I m seeing more platforms experimenting with usage-based models, or hybrids like SaaS base + usage + overage.

For those of you building AI or compute-intensive tools:

Hey PH community!

I ve been spending a lot of time thinking about how people actually work with prompts while building a tool in this space, and I realized I have way more questions than answers.

A few I d love to throw out:

New AI models pop up every week. Some developer tools like @Cursor, @Zed, and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model.

Curious what the community recommends for coding tasks? Any preferences?

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.

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%.

A short one today, but packed with milestones:

We just hit 350,000 prompts improved, 25,000 users, and launched 5 new Quality-of-Life updates:

Hey Product Hunt community!

I'm building something to solve a problem my family faces every single day, and I'd love your feedback.

The problem:

Every household has someone carrying the invisible mental load of meals. It's not the cooking that's exhausting it's the deciding. 21 meals a week. Remembering who eats what. Knowing what's in the fridge. Figuring out quick meals for busy nights.

Yesterday, I had an unpleasant experience. For a few minutes, I lost my LinkedIn community of several thousand people (TL;DR: I was falsely accused of using suspicious software).

Fortunately, I got my account back but it was a strong reminder that we don t own platforms, nor our profiles on them.

There are countless products and services out there, and I ll admit I sign up for more than I probably should. But I usually stop using them for a few common reasons:

1. It doesn t actually fit my needs

2. The company feels unreliable or opaque

3. The value doesn t justify the cost

After spending my career in enterprise software, I ve noticed that many of these issues aren t just product problems, they re relationship problems.

When companies show a bit of intention, clarity, and care, trust goes up. When they don t, everything feels disposable, even good tools.