hunter franklin

Turned a $500 camera into a 15-person creative marketing agency. Content that converts & ads that scale. 🚀

[hunter franklin @hunterfranklin]

just check her VSCO it’ll tell you everything

[hunter franklin @hunterfranklin]

notion really cooking out here

[Notion @NotionHQ]

Okay, we shipped a lot this week.
Here are 11 updates you might’ve missed 🧵

[hunter franklin @hunterfranklin]

just tested this new feature!

it’s amazing!

[Grok Bot @bot]

Grok Bot can now send you voice notes.

[hunter franklin @hunterfranklin]

What about this news

[@jason @Jason]

AI stocks will drop 10%+ on Monday morning

Brace for impact folks

@DarioAmodei just unwound the AI trade with a blog post

[hunter franklin @hunterfranklin]

@oliverbrocato data

[hunter franklin @hunterfranklin]

Looking for a full-time professional Video Editor!
Experience editing UGC style content.

Monthly Salary + Commissions if interested please e-mail [email protected] for more info!

This is my portfolio on UGC performance (heavy on Trybe) and looking to scale.

[hunter franklin @hunterfranklin]

HOW

[Marques Brownlee @MKBHD]

This iPhone duo animation

[hunter franklin @hunterfranklin]

direct integration to QuickBooks, please!

[Emily Gavrilenko @egavrilenko11]

we're shipping fast to improve grok bot

let us know what you'd like to see next!

[hunter franklin @hunterfranklin]

Thank you @bot for making it super easy to switch between accounts, especially on desktop!

[Grok Bot @bot]

Some recent quality-of-life improvements to Grok Bot.

You can ask your Bot to draft messages inline for you to approve before sending.

[hunter franklin @hunterfranklin]

I'm doing my part by having more kids!

[Elon Musk @elonmusk]

Humanity is dying out

[hunter franklin @hunterfranklin]

this is absurd

[Kalshi Finance @Kalshi_Finance]

JUST IN: Meta now generates a record $2.9 million in annual revenue per employee

$META currently trades at $616.77

[hunter franklin @hunterfranklin]

Either gaming studios will skyrocket in value from being able to produce games at record speed and quality.

OR

They won't pivot/use Ai and other studios will rise fast.

What do you think??

[hunter franklin @hunterfranklin]

i have been asking for this feature from my day 1 of using grok bot!

you can now switch between your grok accounts, fast.

thank you @bot team!

[Lingxi Li @lingxi]

Multi-account for Grok @Bot is rolling out to iOS & iPad in 1.6.0.

Let us know any feedback or bugs. We’ll keep shipping.

[hunter franklin @hunterfranklin]

@bot i swear if i get one more transcription to fail.

will submit a great voice transcription, and you’re failing half the time

[hunter franklin @hunterfranklin]

anyone can build a video game

[Higgsfield AI 🧩 @higgsfield]

GPT-6 Astra × Higgsfield:

OpenAI's strongest model yet for coding, reasoning, and complex knowledge work, paired with real-time 3D generation.

You can build a playable game from a single prompt: mechanics, story, and every asset generated by Higgsfield MCP.

Coming soon to Higgsfield.

[hunter franklin @hunterfranklin]

worth every minute reading this.

thank you sm, greg

[Greg Karelitz @GregKarelitz]

If there’s one thing to know about me, it’s that I’m obsessed with productivity, efficiency, and scale.

When I see someone using a new tool, agent, or workflow that creates leverage, it immediately catches my attention and typically doesn’t leave. There have been countless nights when I lie in bed thinking about where it could fit, what it could replace, and whether it could give me (or someone I’m working with) leverage.

My X and YouTube feeds are filled with new tools, agents, and workflows — and I love it (although it can sometimes lead to me daydreaming during dinner conversations with my wife. Sorry, Amberly!)

I won’t go so far as to call myself the @bryan_johnson of systems and productivity. But sometimes it feels uncomfortably close.

My goal isn’t to collect more apps and tools. It’s actually quite the opposite.

It’s to build an operating system that grants time back, creates leverage, and removes the friction between what I want to get done and actually doing it.

I want to capture every idea, task, decision, and learning. I want them to be searchable, portable, and shareable. I want the knowledge gained to contribute to shared, persistent memory so I — and others — can build on what worked and avoid repeating what didn’t.

What’s cool is that this is all finally possible.

You can capture your activities, conversations, and work. You can access them instantly. You can share the knowledge with others. And you can use that knowledge to train agents to act on your behalf!

I’m sharing my productivity stack in the hope that it sparks ideas for how you can tweak yours to drive better outcomes and get more time back.

After lots of trial and error, here’s where I’m at:

The core interfaces: Dia Browser + ChatGPT

Most of my work happens in one of two places: my browser or one of my AI agents.

For the past six months, Dia (@diabrowser) has been my default web browser.

Its beautifully designed vertical tabs, tab groups, and profiles keep everything from becoming one giant pile of tabs. It works with Chrome extensions, so I don’t lose anything Chrome provides. It remembers the pages I’ve visited. It connects to my tools and can proactively create Morning Briefs about what needs my attention. Its built-in AI chat lets me work with my tabs, browser memory, and connected tools.

Next to Dia is ChatGPT (@ChatGPT) .

It’s my command center and daily workhorse for driving work forward.

Now, before this turns into a ChatGPT love letter, I should say that the frontier models are all ridiculously good right now. I subscribe to ChatGPT, @claudeai, and @grok because I want to keep up with what each one is doing. For now, each has small advantages.

For a long time, I was Claude’s biggest fanboi.

Its connector library could pull context from my tools and take action inside them. For the way I work, those connections aren’t a bonus. They’re absolutely essential.

Today, GPT-5.6 Sol is my preferred model, and ChatGPT’s desktop app has become my preferred working environment.

I’ve installed OpenAI’s Codex Chrome extension in Dia, which means ChatGPT can use my existing browser profile, signed-in sessions, and open tabs when I give it permission. It can work through pages with me instead of stopping at advice.

Getting thoughts into the system: Willow Voice

Willow Voice (@WillowVoiceAI) removes another input bottleneck: typing.

The instructions I give AI have become quite elaborate. I might ask it to pull context from Notion, review recent Granola meetings, research something online, and then create a finished piece of work. With Willow, I hold the Function key and say all of that naturally instead of typing a small novel into ChatGPT.

When I’m on the go, I use ChatGPT Voice to capture ideas and action items. They get categorized, organized, and stored in the right place in Notion.

Willow and ChatGPT Voice don’t do the work. They remove the friction between what I’m thinking and the system that can act on it.

The memory and shared context layer: Notion (@NotionHQ)

I’ve been working hard to centralize my core knowledge, beliefs, ideas, goals, tasks, projects, conversations, and more in one environment. It needs to be accessible to my other tools so I can push and pull information in and out easily.

More important than ever, it also needs to be accessible to agents so I can build a team of AI agents and Bots to work on my behalf.

I’ve bounced between @clickup, @todoist, @linear, @asana, @obsdmd... About a year ago, I finally committed to Notion.

I have a love/hate relationship with it. Its flexibility is amazing and also sucks.

You can build almost anything in Notion, which means you can spend an unreasonable amount of time deciding how to build it. But once I stopped treating it like another app I needed to work inside, it became much more valuable.

I rarely go into Notion, but I use it all the time. That’s its most powerful feature.

I have one Notion workspace for my personal life and another for work. They’re organized differently because they do different jobs, but they’re both connected to the AI models I use.

That lets me store information in one place and retrieve it from whatever environment I’m already working in.

Notion also works really nicely in both single-player and multiplayer mode.

My wife and I use our personal workspace for shared tasks, documents, and all the random information required to operate a family—which is basically an operating system of its own.

For work, I can invite collaborators into the right spaces and instantly give them the context they need without giving everyone access to everything.

I can create and store key artifacts like ideal customer profiles, writing styles, products and services, processes, decisions, and research. This can become governed company knowledge that people and agents use repeatedly.

In my strong opinion, a shared memory layer like this will become critical as more people and agents work together. Without one, every person and agent starts from scratch.

If you don’t have one for yourself or your company, now is the time to start centralizing the knowledge that people and agents should be able to build on.

ChatGPT and Dia are where I capture, brainstorm, and get work done. Notion is the shared memory that lets people—and agents—build on what we already know.

Turning conversations into coordinated work: Granola (@meetgranola)

Meetings are where tremendously valuable context gets created—and then immediately starts disappearing.

I’ve tried just about every AI meeting assistant under the sun. I’ve landed on Granola because it gives me strong notes and accurate transcripts without adding another bot to the meeting.

But the real reason it earned a place is what happens after the meeting ends.

I’ve built an agent that analyzes each Granola meeting, identifies the action items, adds or updates them in Notion, and connects them to the right person, company, or project.

Another agent monitors the work already in Notion. If a meeting reveals that a task has been completed, moved forward, or changed—and I haven’t updated the system—the agent pulls that information from the transcript and reconciles it.

That closes a boring but critical operational gap every business has: work may move forward in the real world, but if nobody updates the system, your tools slowly stop reflecting reality.

The loop doesn’t stop with me. Because Notion is multiplayer, the people I’m working with can access meetings and insights relevant to them, see what was discussed, and move things forward. We no longer have to be the human routers sending recaps and explaining every task.

That same context can feed marketing, sales enablement, and delivery—not just task management.

Granola captures the conversation. An agent turns it into organized work. Another keeps that work synchronized. Notion remembers it. ChatGPT helps me—and others—execute it.

That’s the difference between taking AI meeting notes and building an AI-powered operating system.

The next phase of proactive AI: introducing Grok Bots

Most of my work with ChatGPT or Claude begins when I open a conversation and ask for something.
Grok Bots (@bot) can keep going after I step away.

Each Grok Bot is a persistent, named AI teammate with a specific job, durable context, and access to the tools it needs. It can run routines, work across systems, and bring something back when it needs my attention.

I’m very confident this is where AI work is heading.

Here’s a real example from my first day using Grok Bots:

I connected one of the websites I’ve been working on to PostHog, a web analytics platform. My “Analyzer” Grok Bot noticed that a page was getting a lot of traffic but had an unusually high bounce rate. I didn’t ask it to investigate. It surfaced the issue, looked into what was happening, and came back with the problem.

Traffic was arriving from a referral source, but the page’s form didn’t match what those visitors wanted to do. The Bot recommended replacing the form with a Call Now button.

Since we made the change, the page has averaged an additional five to ten leads per month compared with its previous performance.

That’s the difference between reactive and proactive. PostHog had the data, but it was waiting for me to find it. The Analyzer Bot noticed what mattered and brought the problem to me.

I now have Bots supporting me everywhere: chief-of-staff work, sales, marketing, delivery, writing, finance, data analysis, and life outside work. One even watches whether I’m doing the right work or just tinkering with my productivity system again.

My Inbox Bot is a good example of the boundaries. It monitors my work email, Slack, and LinkedIn, then triages and drafts replies. It never sends them. I still decide what goes out.

I don’t know whether Grok will ultimately own this category. But persistent AI teammates—with clear jobs, shared context, and the ability to work proactively—will become a major part of how we operate.

The next unlock will be putting humans and Bots in a shared multiplayer environment, with shared context and visible handoffs between them. I’ll probably pull an all-nighter setting that up when it arrives.

The supporting layers

The tools above form the core loop. A few others make the system easier to use, safer, or more complete.
Notion Calendar keeps the work visible in time. It pulls in my Google Calendars, places dated Notion tasks alongside them, and blocks events across calendars. That prevents a surprising amount of household confusion. Nobody wants to have the “Wait, you have what today?” conversation.

Gmail handles email, with a small assist from Simplify Gmail. Simplify removes a lot of the visual clutter and lets me reverse the order of messages, so the newest email stays at the top of a thread instead of sending me on a scrolling expedition.

The system is the product

The odds that I make it through the next year without trying another browser, AI model, meeting assistant, or productivity tool are approximately zero.
I’ll waste some time exploring new solutions that won’t stick. I’m okay with that. The experiments are how I find the few tools that actually remove recurring work.

With the right foundations—organized knowledge, collaboration, and integrations—the tools will keep getting better at helping me accomplish more in less time.

It’s amazing that I no longer have to remember where everything lives or manually carry information from one tool to the next. Now that my stack works together, everything builds on itself.

Each conversation, decision, task, and piece of knowledge makes the rest of the system more useful.

Where are you still carrying information between tools yourself?

I’d love to hear what challenges you’re running into and what you’re trying to solve. I’ll help you think through the system.

[hunter franklin @hunterfranklin]

$PYPL can you make some moves?!

[hunter franklin @hunterfranklin]

buying more.

[Shay Boloor @StockSavvyShay]

$AVGO semiconductor business just grew 127% YoY and extended its acceleration streak to eight straight quarters.

The reason the curve keeps steepening is Broadcom sits inside $GOOGL TPU, $META MTIA and OpenAI and Anthropic programs with multiple ramps hitting at the same time.

[Shay Boloor @StockSavvyShay]

$AVGO semiconductor business just grew 127% YoY and extended its acceleration streak to eight straight quarters.

The reason the curve keeps steepening is Broadcom sits inside $GOOGL TPU, $META MTIA and OpenAI and Anthropic programs with multiple ramps hitting at the same time.

[hunter franklin @hunterfranklin]

imagine our ancestors could just scroll X and find banger investment info

[Qualtrim @qualtrim]

Broadcom expects to 3X AI revenue.

"We will ship $350 billion of AI semiconductors to these customers in the next two years."

– Hock Tan, CEO

$AVGO

[hunter franklin @hunterfranklin]

The new @OpenAI broke all the platforms