Bryan Dickey 📲

Reminder: The AI era disproportionately rewards do-ers. A bias toward action matters more than ever.

@brettwritestuff @parkerconrad PMF acquired

@BryanDickey_ @parkerconrad Sounds familiar!

Rippling launched its AI analyst today. I'm not just the CEO - I'm also the Rippling admin for our co, and I run payroll for our ~ 5K global employees. Here are 5 specific ways Rippling AI has changed my job, and why I believe this is the future of G&A software. 🧵 1/n

@mamoonha @parkerconrad @Rippling Need it to do more. Location recommendations based on attendees, group hotel bookings, suggested flights, etc. All of the data is there to power the reasoning

Been playing with @Rippling AI this week. Typed in: "I'm trying to plan an offsite for the team sometime in 2026. Suggest windows of times when the least amount of vacations are taken (based on historic data) and are spaced outside of national holidays and school holidays in the Bay Area." Got a bunch of windows, instantly, from live data. Software in the AI era is great!

@TheNolanGore The people that got you here won’t get you there

I have so many tech initiatives right now that the problem has become more about bringing people along than the capabilities of the tech.

@mordechaihoff drop the github

@BryanDickey_ Had the same thought and probably going to test it out

Unfortunately in 2026, my first thought is Can I build this with Claude + $0.50 NFC tag?

@cjpedregal @JackCully Yay

There are some tweets out there saying that Granola is trying to lock down access to your data. Tldr; we are actually trying to become more open, not closed. We’re launching a public API next week to complement our MCP. Read on for context. A couple months ago, we noticed that some folks had reversed engineered our local cache so they could access their meeting data. Our cache was not built for this (it can change at any point), so we launched our MCP to serve this need. The MCP gives full access to your notes and transcripts (all time for paid users, time restricted for free users). MCP usage has exploded since launch, so we felt good about it. A week ago, we updated how we store data in our cache and broke the workarounds. This is on us. Stupidly, we thought we had solved these use cases well enough with our MCP. We’ve now learned that while MCPs are great for connecting to tools like Claude or chatGPT, they don’t meet your needs for agents running locally or for data export / pipeline work. So we’re going to fix this for you ASAP. First, we’ll launch a public API next week to make it easier for you to pull your data. Second, we’ll figure out how to make Granola work better for agents running locally. Whether that’s expanding our MCP, launching a CLI, a local API, etc. The industry is moving quickly here, so we’d appreciate your suggestions. We want Granola data to be accessible and useful wherever you need it. Stay tuned.

@thechrismeade You can fake it for 10 hours. Lock in

25 hour travel day from Japan. Best advice to shake off jet lag? Supposed to have a full day of meetings tomorrow.

@SawyerMerritt U.S. release feels imminent at this point

Tesla has released a deep dive video of the new Model Y L

@colindougherty Wild. Prayers up for the homie

@BryanDickey_ true story

Know a friend of a friend who just got engaged He is trying to figure out how to tell his future wife he has over $240k in credit card debt from gambling Might bankrupt a generation of men

“Mom, how did we get so poor?” “Your dad didn’t want to personally pay $20/mo for Claude so he waited 8 months for his boss to create an AI policy and 30 days for IT to approve a license.. But he had a lot of bookmarked posts on X!”

Or are we just not supposed to talk about this. LMK

Prediction: The sweeping adoption of AI in tech is going to completely re-write the left-leaning identity that has been coded in over the past 10 years. The companies that larp-ed inclusion, comfort, safety, etc. in the name of growth now face the biggest challenge ahead. Tech orgs built cultures around ideologies and people who now actively resist AI at their core. It’s a personal resistance, at a political and identity level. AI resistance is the biggest risk to traditional bloated tech companies at this stage. Employees won’t fully adopt AI because of their political and personal beliefs. The technology is perceived as capitalistic, merit-based and non-inclusive. In their personal lives, they secretly oppose much of what AI represents. At work, they fake it. It shows up as a silent sabotage as the company tries to shift culture. Heads shaking in meetings but inaction and resistance in the days between. Fascinating paradox. GG

Working in an AI-forward company is the greatest career advantage you can ever have in this age. - Licenses are paid for - Space is made for experimentation - You have real problems to solve and customers to ship to - You are rewarded for participating Unlimited personal equity building potential in a real world environment. And there’s not cost. Yet, people will watch from the sidelines.

None of it should exist. But it does. Trying to understand it all is too cortisol-maxxing

Real

@codyplof @AliaPopups All of this + you get to keep Onsite Opt-in 📈📈📈

We just moved our popup to @AliaPopups and the team is loving it. Thye're built a really cool analytics suite where you can dive into the data way beyond pop-up conversion rate. You can prompt AI to generate breakdowns across things like LTV, repurchase rate, time to purchase, sitewide CVR, and order cohort performance. Then filter it by UTMs, pages, countries, browsers, products purchased after signup, even answers from quizzes. Lots you can do with this data. We recently started adding more questions to our popup. Stuff like skin type and what category someone is shopping for. Now we can easily see things like purchase rates and time to purchase by skin type. We also pulled popup and site performance by UTM campaign. Not just submit rate. But purchase rate after signup from subscribers and sitewide CVR. Helpful when you’re trying to figure out which traffic sources are actually bringing valuable subscribers. Also makes it easy to spot segments that have stronger LTV and repurchase behavior. Or pages where the popup underperforms. It’s the layer between email capture and actual revenue performance other popup tools miss. Check it out here: aliapopups.com

/Generate a video for a news story about a family in Kentucky that owns farm land that refuses to sell to a tech company for generational wealth. Make it realistic.