I see this pattern all the time with creators and small teams (and lived it myself):

You start with Google Docs + Google Sheets because:

• they re free

• everyone knows how to use them

• we ll switch later when it gets serious

Fast forward a few months and suddenly you have:

If you use AI dev tools daily, you ve probably felt this:

You start a new session and immediately have to re-explain:

• what the project is

• what you already tried

• why certain decisions exist

• what not to repeat

Not because the AI is bad.
Because the workflow forgets.

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?

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

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:

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...

Hi Noodlers!

Big week . Here's what happened!

Your Halo is here

We shipped it. Halo is your AI assistant, embedded directly on your website. Customers ask questions. Halo answers. They book appointments. Halo handles it. One script tag, 5 minutes, done.

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:

We launched HeyTraders today.

We built this tool because I hated spending days just to verify one simple idea. So we solved the "Verification (Backtesting)" part with AI.

But I want to understand your daily workflow better to build the next feature. If you could automate ONE part of your trading routine today, what would it be?

Here s something that surprised us.

AI systems don t just run, they age.

Over the past few days, I ve been trying to understand what helped the most successful launches stand out.

In general, here s what I noticed they tend to share:

• Their Product Hunt page had at least 500 followers.

• The product was in overall good condition (I mean, already had some level of reputation, really good marketing).

• Many were hunted by well-established, well-known hunters on the platform.

• Every comment received a response.

• The visuals were strong there was almost always a video or demo featured at the beginning of the carousel.

We realized that while most online services are getting more effortless to use, form builders have stayed the same. Most forms are still slow to build and boring to fill out.

Part of the problem is the mental model people have for online forms. Most people expect something like Google Forms, even though its format is not how people actually spend their time. We are much more comfortable with the chat format we use every day on WhatsApp or ChatGPT.

I came to exactly the same conclusion that real startup ideas often come from simple and boring problems. From my own experience: I spent three years on a startup that was supposed to revolutionize online education, but in the end it had 0 users. Now I ve just started solving a simple problem for home appliance repair technicians and immediately got my first paying users on a very rough MVP.

Today marks my 1 0 0 0 day streak in on product hunt - wow does time fly

The last 2.7 years have been insane From discovering awesome products (built by SF legends) to actually launching 2 products myself and winning 2x product of the month awards a golden kitty with @Clustr and now being nominated for an orbit award with @Trace feels unreal. Not only did my team go through the ups and downs, but we persevered and survived two top tier accelerators with @500 Startups & @Y Combinator - gotta catch them all

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?

This community helped turn a scrappy weekend project into something used by 25,000+ people from all around the world. So it felt right to share this here first:

On Jan 31, we are launching Pretty Prompt 1.0 right here on Product Hunt.

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:

Today, we declare the death to Search.

For too long, we've let Search dictate the way we work.