🔥 Best AI Automation Tools: Nominate Your Favorites for the Product Hunt Orbit Awards

I nominate @ZapDigits

I nominate@Keywordly Auto-Pilot for two reasons: first, it has helped me scale,@Indexly and second, I am biased :)

@aaronoleary got this email in my inbox, you're a real one for this tee up.

I nominate -> Meet Sona - meetsona.ai

One 10-minute AI voice interview → a week of authentic LinkedIn posts.

Built it for myself out of frustration and use it each and every week.

Great thread! AI automation has been a game-changer for workflow efficiency. Here are my nominations based on actual daily use:

Zapier - The reliability factor is unmatched. I use it for connecting disparate tools that don't natively integrate. Set it and forget it.

n8n - Love the self-hosted option and visual workflow builder. The community templates save hours of setup time, and the AI workflow builder is genuinely useful for complex automations.

Make (formerly Integromat) - When you need granular control over data transformations, Make shines. The scenario editor is more powerful than most alternatives, and the pricing scales better for high-volume workflows.

What I've learned: The best automation tool depends on your specific stack and technical comfort level. Zapier for simplicity and reliability, n8n for customization and cost control, Make for complex data operations.

The real ROI comes from identifying repetitive tasks that eat 15-30 minutes daily - those add up to weeks per year. Start small, measure impact, then scale.

@Tasklet has changed how I automate tasks. The reason I love it:

1. No need to create integrations etc like zap, make etc. You just define what you want to do in natural language and it naturally sets up the flows really well.

2. Best Browser Agent implementation: Can start browsers and click through to do complex tasks without me having to manually teach anything.

Outside of this, obviously the @Alai API. You can now automate sales proposal deals, weekly campaign reports etc really easily.

Nice timing! I actually just shipped an @AppSpeaker AI automation tool focused on Google Play reviews. It connects to Play Store, looks only at new reviews, understands the context, and drafts replies in my own tone so I don’t spend hours on repetitive work. It quietly runs in the background and saves time ... a lot of time.

Works like magic! While testing it on my own games and apps, I spent a lot of time refining the instructions and custom setup so the replies actually sound like me, not like generic AI. That part turned out to be just as important as the automation itself.

Happy to share more details or show how it works if that’s useful.

Nomination: @InterviewFlowAI - AI Interviews

InterviewFlowAI automates first-round hiring interviews end to end. It actually conducts real interviews over phone or Google Meet (not chatbots), asks role-specific questions, follows up based on answers, and produces structured scorecards with transcripts and recordings.

Day to day, it replaces hours of manual resume screening, scheduling, and repetitive phone screens. You only spend time reviewing shortlisted candidates asynchronously instead of sitting in back-to-back calls.

It’s especially useful for high-volume or early-stage teams where hiring speed matters but you don’t want to add another tool to manage. Simple setup, no babysitting, and it quietly takes a big chunk of screening work off the calendar.

Definitely earned a permanent spot in our hiring stack.

i use @n8n and it's amazing

Non-technical founder / operator here.

For me, the biggest value from “AI + automation” hasn’t been fancy workflows, but tools that actually force execution and quality without engineers involved.

UseMotion has been a big one. It’s basically our real project management system now. Tasks aren’t static - time and priority actually matter, and when things slip, it adjusts. That alone improved reliability across the team (13 people).

@Airtable is still the backbone. Not using it like a spreadsheet, more like a logic layer. We trigger tasks and follow-ups inside UseMotion based on performance in PriceLabs, not gut feeling.

@Grain has been huge for sales. It lets me review conversation quality at scale and turn real calls into coaching. Not just recordings, but actual feedback loops for the team.

Tools I’m not fully using yet but actively looking at from a non-technical angle:

@zapier / @Make as glue between systems

@Notion AI - beyond documentation

Would be curious what other non-technical operators are using to improve execution quality, not just move faster.