AI workflow automation tools help you design, run, and evolve workflows that actually take action not just suggest what to do next. Some use AI to make workflows easier to build. Others embed AI directly into execution so workflows can handle ambiguity, make decisions, and adapt as they run. The strongest tools do both.
This definition excludes tools where AI only generates static workflows and then steps aside. It also excludes general assistants that never meaningfully participate in end-to-end execution.
I recently saw a marketer with 10k+ followers launch and finish 6th with 348 upvotes. They followed a proper pre-launch and post-launch plan, did everything right, and still the outcome felt unpredictable.
Now I m launching @Curatora next week.
I m not a marketer. I have a little over 1k followers. Of course, asking for support helps. But I also keep hearing that a large part of the Product Hunt community shows up mainly for their own launch, then goes quiet until the next one.
That makes me wonder: how much of success here is strategy, and how much is timing and network effect?
Product Hunt is best known for its homepage, a daily leaderboard of the most creative and innovative products on the internet. Makers go all out to win launch day, because that visibility matters. Product Hunt also plays a significant role in how products appear in Google search results.
What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations.
We re making three frontier open-source models free* on Zo until the end of February. GLM-5, Kimi K2.5, and MiniMax M2.5 are now free to use on Zo. And we ve increased the AI usage limits on our free plan significantly.
We re incredibly excited about recent progress in open-source models. Three labs dropped big releases just weeks apart, ahead of the highly anticipated DeepSeek R2. These open models are quickly catching up to closed models like ChatGPT and Claude, which are much more expensive.
When I interviewed for my current company, I had a conversation with the Founder and PM that lasted more than an hour. Interestingly, only about 30% of the discussion focused on my experience which made sense, since my background wasn t directly related to the role I applied for.
The remaining 70% of the conversation was about how I approach real-world problems, my mindset toward the work I would be doing, and how I envisioned growing in the role. They also asked why I chose this product and company, what it meant to me personally, and how I hoped to contribute moving forward.