Every AI product I've used starts the same way: an empty chat box and a blinking cursor. The tool has all the capability in the world, but it sits there waiting for me to figure out what to ask.

That's a design failure we've all just accepted. The blank page problem killed writing apps for years, and now we've rebuilt it into every AI interface.

Shipped a lot at Basedash this week.

The big one: Suggestions. Basedash now studies your data, your past chats, and your dashboards, then suggests the questions, dashboards, and automations worth doing next. Click one and it starts working. No more blank page.

We ship constantly as a small team, and we've been on a roll launching to Product Hunt every week for over 2 months now for different features (see our launch history). Each time I worry it reads as "this again?"

Our current strategy: launch features like they're products. Give the feature its own name, own story, own audience, and don't lean on the company's history to sell it.

We just shipped SCIM provisioning (check it out!) and it got me reflecting on how much enterprise infrastructure we've built over the past year.

When we started selling upmarket, our answer to most security questionnaire items was "not yet." Today the checklist looks pretty different:

• SSO (SAML and OIDC): authenticate through the identity provider your company already uses

• SCIM provisioning: users, groups, and memberships sync automatically from Okta or Entra as people join, move teams, or leave

• RBAC: groups with fine-grained permissions on data sources, dashboards, chats, automations, and MCP servers

• Row-level security: control which rows each person can see, and the AI respects those policies in every query it runs

• SOC 2 Type II: audited annually, encryption in transit and at rest

• Audit logs: who accessed what data and when

• Self-hosting: deploy in your own network with Docker or Kubernetes, bring your own AI model keys, and align with HIPAA, ISO 27001, GDPR, or PCI-DSS requirements

We just launched SCIM provisioning for Basedash. It syncs users and groups from Okta or Entra so IT doesn't have to manually manage access as people join, move teams, or leave.

Nobody has ever dreamed of building this. There's no demo video that makes SCIM look cool (trust me, we tried). But it's probably going to close more enterprise revenue than features we spent 10x longer on.

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/prod...

Every few years someone declares the spreadsheet dead. Notion was going to kill it, then Airtable, then a hundred AI tools, and now agents are supposedly going to make it obsolete too.

But Excel is 40 years old and still runs most of the actual decisions at most actual companies. I'd bet it outlasts almost everything launching on this site this year, including a lot of stuff I love.

Happy to share our latest changelog for @Basedash: AI data analyst!

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