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

After our first launch on Product Hunt, our team spent a little over a month upgrading the product. There were major changes to the UI and several new features added, so the process took time from discussions and redesigning the interface to testing, fixing bugs, and updating AI prompts.

We re also a very small team, so everyone had to push themselves to give 200%. Time and resources are limited, and at the same time, we also had to work on securing funding for the next six months to keep the team running and continue developing the app.

There are a lot of GEO / AEO tools launching right now.

Most of them simulate prompts and track mentions.

With the advent of clawdbots, it's as if we've all lost our inhibitions and "put our lives completely in their hands."

I'm all for delegating work, but not giving them too much personal/sensitive stuff to handle.

As a measure of the impact of vibe coding and the need to focus on positioning, narrative, and marketing and distribution, I noticed that that 610 products were submitted to the Product Hunt leaderboard today, but only 16 were featured which is less than 3%.

The previous high was just over 500 products in December.

It s been a minute since I ve posted here. Over the past few months, we ve been deep in building at Clueso and talking to a lot of Marketers, trainers, Product managers, and solo creators about how they make videos.

The conversation has shifted from speed vs polish to how do we create videos that are clear, thoughtful, and visually solid.

As usual, Y Combinator came up with segments that are worth investing:

1. Cursor for Product Managers
2. AI-Native Hedge Funds
3. AI-Native Agencies
4. Stablecoin Financial Services
5. AI for Government
6. Modern Metal Mills
7. AI Guidance for Physical Work 8. Large Spatial Models 9. Infra for Government Fraud Hunters 10. Make LLMs Easy to Train

Three months ago, @Cursor launched Composer 1, their first coding agent, and they just released a new update, introducing 1.5.

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:

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 used to think the hardest part of building a product was building the product.

Turns out, creating superfans is harder.

The real challenge is getting people to love your product:

We've objectively tested Safari, Chrome, Firefox, and Edge to determine which offers the best:

Speed,

Standards Compliance,

First of all, I want to thank you for voting for us in yesterday's launch - you still can, the week is not over. HERE

Second thing, I summarised some things that I realised, reflected on, and maybe should have known sooner:

It took longer than it should have, mostly because it kept getting deprioritized in quarterly planning. And the annoying part is: the longer you wait on dark mode, the bigger it gets. More components to adjust, more edge cases, more workflows to test.

So we stopped debating it. No justification, no comparisons. We just shipped it.

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:

This week, I'm adding EADA Co-Pilot to query athletics data using natural language.
Data sets from https://ope.ed.gov/athletics/#/

Our team is planning to launch a new version of our product on Product Hunt next week, after a period of optimization and improvements. As we get closer to launch day, I realize there s a lot to prepare, and I m curious about how other teams usually approach this process.

So far, here s what we ve been focusing on:

• Most importantly, making sure the product works well and delivers real value

• Continuous testing to ensure performance and stability

• Designing clean and clear product screenshots

• Preparing a summary of what s been updated, fixed, or optimized

• Writing launch content (tagline, description, first comment, etc.)

• Maintaining good health and a stable mindset for the launch

• Expanding our network and connecting with other makers

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 know it isn't just me because I have a number of LCNC friends who, like me, won't even open Stripe before first opening ChatGPT or something similar to guide me through the maze that is Stripe.
Here's me, having just downloaded Claude Cowork, really doubtful that it is going to make any difference with the seven stuck projects I have in Stripe...

You can now connect your YouTube account to DunSocial!
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You can now get AgentEcho from the Chrome Web Store!
https://chromewebstore.google.co...

1. Global problem: Dating apps fail for complex lives (illness, relocation, unfulfilled youth). A platform is needed for matching based on life path compatibility.

2. Daily routine: after every client meeting, I need to write a structured report for colleagues. Existing corporate tools (Microsoft 365) are inefficient and slow for this.

3. A startup founder loses focus and productivity juggling 5-7 tools for a single project. Existing all-in-one platforms don't provide the feel of a unified workspace.

4. An African entrepreneur cannot accept international payments on Shopify. PayPal blocks, Stripe is unavailable. There is no payment gateway that does not discriminate based on geography.

5. Micro-influencer cannot monetize a loyal audience: there is no safe and effective platform for deals with small brands and those willing to work with small influencers in India.

Building @Tonkotsu has taught us many lessons in product design, with both the underlying technology and user behavior shifting rapidly.

One of the hardest but most critical lessons we ve learned is about calibrating the zoom level how close or far the user feels from the work. You can see examples of this play out across the industry:

• Codex gets flak for going heads-down for too long compared to Claude. Users feel too zoomed out from the work.

• By contrast, Cursor and IDEs are starting to feel too zoomed in. When the majority of code is written by agents, an editor-first UI is a misfit.

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.

What was the reason for any YC rejection you faced in the past? And what would you suggest future founders do differently with their profile/ idea/ application to minimize downside?