Ask Data Dawn

Ask Data Dawn

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Photos from Ask Data Dawn's post 06/08/2026

The difference between a 70K data scientist and a 200K one is not just experience.

It is SQL mastery.

At 70K you execute basic queries, join tables, and clean data. You run the SQL someone else designed.

At 200K you architect solutions. You use window functions and CTEs to solve complex business problems, design and maintain your own data pipelines, and understand query optimization and database design.

One tier executes. The other thinks like an engineer and builds systems that scale.

Photos from Ask Data Dawn's post 06/07/2026

Here is exactly what got my business to its first 100K.

Photos from Ask Data Dawn's post 06/06/2026

The second speaking event was harder than the first.

The first time you have no expectations. The second time you are trying to beat yourself.

Here is everything I learnt.

06/05/2026

I’m excited to partner with to give you $1000 in free credits!

I attended Hyperagent’s Build Night at NY Tech Week, and experienced how easy it is to build an agent.

Which is why I am so excited to partner with them!

Backstory: My best friend is turning 35 this summer. I want to plan a big birthday trip for her, but I’m horrible at planning. So I built an agent to do it for me!

The process of creating an agent with Hyperagent was easy and enjoyable.

I did not have to write a line of code.

And I got it to integrate with my Slack, Google Drive, email and

Here’s how I have used my planning agent (so far)
↳ Built a website with the 6 lodging options that the agent found found me
↳ Pinged our group Slack so everyone could vote on their favorite
↳ Put together all the planning milestones in Airtable
↳ Emails reminders every Monday with my action items for the week
But that’s not all, I’m a founder, so I’m building a whole team of these. Next up: an agent that finds leads and drafts sales outreach for my business.

Stay tuned to see how that works.

———

Use my link to sign up for Hyperagent and get $1000 in free credits.

Only the first 1000 get it, so hop on it quick ➙
> Comment “HYPERAGENT” and I’ll send you a link for $1000 free credits.

♻️ Repost so other people can build their agents too!

06/04/2026

Uber’s CTO said his AI budget was blown way ahead of schedule. The culprit was token usage no one planned for. This is why token optimization is becoming a must-have skill for data scientists.

Photos from Ask Data Dawn's post 06/03/2026

If you’re using Codex only as a one-off coding assistant, you’re missing one of the most useful parts: automation.

Codex can act more like an AI work assistant when you give it the right recurring tasks.

The easiest place to start is with work you already repeat every week:

checking campaign metrics
reviewing a spreadsheet
summarizing changes
turning Slack threads into action items
prepping a weekly report
spotting what needs attention

My rule: if you’ve done the same task 3 times, it’s probably worth automating.

But the quality of the automation depends on the prompt.

Before you schedule anything in Codex, write out:

1. What should Codex do?
2. How often should it run?
3. What inputs should it use?
4. What should the output look like?
5. When should it flag something to you?

Then test it manually before you let it run on a schedule.

A good Codex automation isn’t just “check this dashboard.”

It’s more like:

“Every Monday, review last week’s campaign performance, compare it to the previous week, highlight major changes, explain what’s working, flag what’s underperforming, and send me a concise summary with recommended next actions.”

That’s where AI automation gets useful.

You’re not just saving time.
You’re turning repetitive business operations into repeatable systems.

Start with the boring recurring tasks first. They’re usually the best ones to automate.

Save this if you’re building AI workflows with Codex, ChatGPT, or other AI agents.

Photos from Ask Data Dawn's post 06/02/2026

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United States Of America
Washington D.C., DC