We re officially in nominees season for the Orbit Awards: AI Workflow Automation.

New AI models pop up every week. Some dev tools like @Cursor and @Zed let you choose between different models, some others like @Amp and @Tonkotsu , more opinionated?, default to 1 model.

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

Many people were looking for an answer in one category, namely, Forums Streaks.

This metric by itself only tells you that people log in to the app.

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.

Since I haven't been able to meet my work goals very well in the last few quarters, I now plan to approach them more systematically and not push myself too hard on work goals, as that ultimately led to problems that made my plan less sustainable.

So here is my structure and list:

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

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.

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.

1. Need an AI Jarvis that turns chaotic voice/text updates into automatically structured tasks, projects, and dashboards for managing all of life and work.

2. Hours of manual searching for parts for Chinese cars. Need an AI agent that understands queries from photos or text and finds the part.

3. Online clothes shopping is a lottery. There's no accessible technology to see how an item will fit your body, especially in small stores. It's a pain for the buyer and a loss for the seller.

4. A musician from Lebanon cannot sell his music: streaming pays pennies, and Bandcamp doesn't accept payments in his country. Needs a fair radio-platform with direct sales.

5. VPN users have nowhere to find out if a service will work reliably on their network there is no up-to-date rating based on real-time quality monitoring.

6. It's impossible to order truly fresh farm vegetables and bread through delivery aggregators product quality is low, and you have to go to the market yourself.

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.

Hey everyone - we re tremendously grateful for our fantastic launch yesterday, ending at #1 for the day. Thank you all for your support!

I started Tonkotsu because I saw a huge opportunity for a complete rethink of AI coding not just incremental adjustments to established tools and workflows. Having managed teams of hundreds of engineers at Meta, Microsoft, and Atlassian, it s been fascinating to me to find that the role of the developer has shifted overnight: you're now the manager of a team of agents. We're building Tonkotsu to help you succeed in that new role.

A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.

In the spirit of forever optimising our taglines, I wanted to do a little experiment:

I am so excited about this one!

You can now use Pretty Prompt right inside @Lovable (in beta)

We ve been working super hard to take Pretty Prompt beyond the generic ChatGPT world, and stepping into Vibe Coding.

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:

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:

I m curious how people here think about a calmer, signal-first feed in practice.

If you ve tried Trace already:
What felt immediately useful?
What felt missing or confusing?
What would make it something you d actually open every day?

If you haven t tried it:
What would you need to see before giving a feed like this a real shot?
What would make you bounce?

I m early and still shaping this, so honest feedback (good or bad) is genuinely helpful.

The Drive AI doesn t just create files, it works on them. You can merge documents, remove or insert specific pages, and restructure files exactly how you want using plain English. No clicking through folders, no manual edits, no busywork.
File work today steals time in small, frustrating ways that add up fast. The Drive AI takes that entire layer of work off your plate, so you never waste a second on boring file tasks again.

https://youtu.be/ebGqLm0A-Ww

Meow world, welcome back to The Breakpoint, a weekly thread on all things dev tools on Product Hunt.

The latest

Recent dev-first products launched on the site

It would seem that this problem is an ancient one, but it still has not been properly resolved. Given that attention span in people is truly gaining serious momentum, a solution to this problem could come in very handy.

Some of you set resolutions for this year, and soon you ll be looking back to see how well you did.

Before that moment comes, what do you want to finish or achieve in this final month?

Today, we declare the death to Search.

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

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 just wrapped the Orbit Awards for AI Dictation and now we re moving to the next category: AI Automation.

This one is for the tools that actually do work for you clearing chores, running workflows in the background, or quietly taking over a chunk of your week without turning into another dashboard you have to babysit.

Trace tends to show up where workflows get complex. The parts of work that involve reasoning, coordination, and follow ups instead of simple triggers.

If you are using Trace, we want to hear how. What kind of workflow is it handling for you? What problem finally felt manageable once Trace was in the mix?

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%.