How the world will transition to AI-run companies
Six years ago I got into Y Combinator and built the first version of @Basedash: AI data analyst. It was a simple tool that let you edit data in your database.
Now, six years later, we have a whole new product, and again we're shipping... database editing. But this time it's a look into the future of how companies are going to be run.
At the surface, this feature is kinda neat but nothing new. You can ask the Basedash AI to edit things in your database or call MCP servers to take action in other tools.
But, being a BI product, Basedash has a super deep understanding of your business. Probably better than you do yourself.
Soon, Basedash will proactively start suggesting ways to make your business better.
"If you extend this user's trial, they'll have a 50% higher chance of converting"
"If you tweak your ad sequence with this copy, it'll increase conversion rate by 20%"
One click to approve and run the experiment.
This is how we transition to AI-run companies.
Please check out our PH launch for actions and give us any support or feedback: https://www.producthunt.com/products/basedash/launches/basedash-actions
Replies
this made me wonder how often people end up changing their minds after seeing AI suggestion.
Very powerful direction
Re this: "If you tweak your ad sequence with this copy, it'll increase conversion rate by 20%", a couple of questions:
1) so this is assuming you can plug-in the ad-flow data (and conversions). What raw inputs would you bring in here to make this possible? API-connections possible too?
2) one click to approve and run the experiment: based on the assumptions I'm making your answers will be to the above question, I can understand how the suggestion comes. But the approval then activating the experiment, what connection happens there to automate that flow?
This is a strong vision, especially the “one click to approve and run the experiment” part. I think the transition to AI-run companies will depend less on full autonomy at first and more on trustworthy approval loops: clear recommendation, clear expected business impact, clear rollback if it goes wrong. That is where operators will start to trust agents with real work.
the "one click to approve" is doing a lot of work in this vision and i think that's where it gets interesting. the transition to AI-run companies won't be blocked by the AI's ability to generate good suggestions, it'll be blocked by whether anyone actually trusts the suggestions enough to click approve. right now most ops teams will click approve on the easy ones and quietly ignore the ones that feel risky, which means the AI is only running the parts of the company nobody cared much about anyway. the unlock is when the system has enough of a track record that approval becomes the exception, not the default. curious how you're thinking about building that trust layer over time.