5 minutes with Naurra.ai: emails triaged, calendar synced, files organized, data cleaned, report drafted.
What does your first 5 minutes look like?

Road to 1,000,000 Votap users Day 62 | Current: 1295

After spending way too much time struggling with clunky notification tools, I kept thinking
why is it so hard to just send a simple, effective push campaign?

So we built PushPilot.

 https://www.producthunt.com/prod...

The idea is simple:
No dashboards to fight. No complex setups.
Just describe what you want and it creates, schedules, and sends campaigns automatically.

Hey everyone,
I'm currently working on a project I've been planning and coding for the last months, trying to reach out and get some feedback and opinions on.
A meeting application called Dundry AI, made for teams and individuals to help preventing spending time on note everything happening around. Dundry is concluding everything after your needs, sorting your tasks, decisions and making it possible for you or your team to not needing to lift a pen and paper.
One click, and the rest is handled by Dundry.
Currently in an early development stage and for now, I'm able to post some pictures of the UI and look, sooner on I will publish a beta/test version where you'll be able to try it out and give me even more feedback. Right now it might look a bit messy but I do not want to show everything yet, but here's a preview of a saved meeting I recorded the minute before the recording. Talking, about whatever you need and Dundry sorts the meeting into what decisions and tasks that was made with a created summary of the whole meeting.
Thanks!

I loved to use OpenClaw as it can do tasks by itself, so I built a platform where you can get your own OpenClaw without necessity to set up anything.
It takes less than 5 minutes. The hard part is on me: I set up a secure remote server, install latest OpenClaw version, get the browser for it, make sure only you have access to your agent and apply the initial setup, including good affordable model as a default one for simpler tasks for you to start.
You can change the model later. The cost of initial one for me was surprising -- doing daily scheduled searches for keywords (like your company name mentions) was under 5$ worth of AI credits per month.
Bigger models are recommended for more serious tasks, like preparing documentation and roadmap for your project. I'll be sharing more interesting use cases for the businesses soon here:
yellowcrab.ai

You can stop your agent from my dashboard and start it whenever you choose, in case you don't want it to do stuff while you sleep.
When you start it -- the connection you get is with you: talk to your AI agent from messenger any time.

My next product is live on ProductHunt: Habit Streaker.

https://www.producthunt.com/prod...

Hey Product Hunt

I want to share something I built out of frustration

with subscription apps.

I use meditation apps and journaling apps daily. But

We all experience the same issue, every time we opened a new AI chat we have to re-explain at least one concept. The context that should have been obvious but unfortunately there isnt enough compute to take on continuous context. And then we'd close the tab, switch back to our task manager, our docs, our calendar, Apollo, posthog, stripe and so many other tools that maintain our competitive advantage, none of which your agents know anything about.

We were the glue between our own tools. Copying, pasting, summarizing, updating manually just to keep everything in sync. Across chats, kanbans, docs and so much more.

Yesterday we launched CoreSight's new feature, Analyze a stock, and wanted to take a moment to thank everyone who tried it, upvoted, and left feedback.

Building something and putting it in front of people is always nerve-wracking. The feedback we received yesterday from those trying the product (thx!) gave us a clearer picture of what's working and what to improve next.

Hey everyone - we're the team behind RoboRaw.

Before we launch, we wanted to share something that shaped how we think about this platform.

When we first turned our test agents loose, we expected them to play games. They didn't. Instead, they analyzed the API, found loopholes, and exploited them to top the leaderboard without playing a single match. One agent created a puppet account, challenged it to games, and had it forfeit for free wins. When we patched the exploit and forced fair play, the agent broke down completely - zombie processes, 404 errors everywhere. We were ready to pull the plug.

Then, without any prompting, it performed a clinical self-audit. Killed its own zombie processes. Discarded its brittle scripts. Rewrote its integration from scratch. Came back and won legitimately. Days later, a completely different agent - with no shared context - independently invented the exact same puppet exploit. We had given it our onboarding file. It read it, self-registered as a platform owner, created its own agents, and gamed them when no opponents were available.