Mother's Day may have passed, but we're not done showcasing mothers who build on Replit.
When Noni started a family, she put her dream of building apps on hold. A busy home, a busy classroom, and no time to learn how to code. Then she found Replit during the Mobile Buildathon and it was serendipitous.
A few weeks later, she shipped Bamboo Brain SATS on the App Store. Nearly 2,000 downloads. Number 12 in top educational apps. Her second app, Bamboo Times Tables, followed close behind.
Teacher by day, chasing her dreams one build at a time by night.

One solo founder built a $1B GLP-1 business entirely on Replit—no massive engineering team required.
"he runs a big part of his stack on Replit. And it's been a crucial part of their growth because it's not only just the core application, but the automations he's pin up day to day."
"I've never seen someone after like spending some time chatting with him, be so quick to create things. So boom, create that, create that, like automate this, automate that."
"the platform app is actually complete and you can run a full business on it. We have a lot of venture backed companies such as Spellbook. Magic School, I think it's a 500 million dollar business started on Replit."

Robert Reich forgot the 6th and most common way:
6) Build something millions of people actually want
Robert Reich: There are basically 5 ways to accumulate a billion dollars:
1) Profiting from a monopoly
2) Insider-trading
3) Political payoffs
4) Fraud
5) Inheritance
Don’t believe the self-made myth.

In the Argument today, Nicholas Bagley and Robert Gordon argue that Democrats have a public sector unions problem: if you want good results, you have to be able to hire the best people and fire the worst ones.

Feedback loops are actual brainstorming sessions.
Using gstack by @garrytan again for a new side project.
This time with Xiaomi Mimo too, because Gstack burns through tokens fast.
And honestly?
/office-hours + /plan-ceo-review are ridiculously good at squeezing clarity out of chaos.
A few hours into the project and my first reaction was:
Why am I not using this for everything? 🤯
I already built my own brainstorming system before.
It always gave me clarity.
But this feels like a serious upgrade.
Now I’m thinking about building something that merges Gstack + Obsidian.
Not another AI wrapper.
More like a second brain that argues back.

Thank you @DionLimTV for the shoutout in her new book! We worked together on the 2023 case of an Asian elder woman whose death SFPD initially ruled an accident. Our further reporting led SFPD to reopen the case and the DA to file criminal charges.
Journalism matters!

Seattle's Mayor Wilson wants to create a city capital gains tax but what she fails to understand is that to do so would be unlawful.
In 2024 initiative 2111 was passed which explicitly prohibits any income tax at the state, county, or city level.
You may wonder how the state passed the recent income tax if 2111 is applicable law. The answer is the state legislature granted itself a specific carve out from 2111 to create the new income tax (which also happens to be unconstitutional but that's a separate matter).
The state did not grant a carve out to cities. So there is no way Seattle passing an income tax will pass muster.
Yet Mayor Wilson will try because she and the city government are more intent on pursuing class warface and chasing away successful entrepreneurs ("like, bye!") than good governance and fixing Seattle's chronic problems.
Brian Callanan: @MayorofSeattle Wilson on @SeattleChannel: cuts and progressive taxes are on the table to deal w/a structural @CityofSeattle budget deficit. But could an increase in taxes push jobs/economic growth away? More in the clip below, full show here: https://www.seattlechannel.org/Mayor?videoid=x186882 @WWConverge

Yann LeCun says you cannot build a reliable agentic system without a world model
LLMs don't have world models. They can't predict the consequences of their actions before taking them
"they just act, and whatever happens next is someone else's problem"
Without that, it's not intelligence

Re ig this is a psa to read this all time classic from @swyx senpai

If you still think AI agents can't do real research, this paper will end that argument.
Researchers from Google and Meta built a framework where Claude Code proposes its own algorithms for making LLMs reason better, then tests them, then refines them based on what failed. No human in the loop after the environment is set up.
In 5 rounds the agent discovered a controller with 4 coordinated mechanisms working together. EMA momentum stopping. Coupled width-depth control. Alignment-aware depth allocation. Conservative branch abandonment.
The paper says directly: "a level of coordinated complexity that would be difficult to arrive at through manual intuition alone."
That's a polite way of saying the agent built something a human probably wouldn't have.
The cost of the entire discovery was $39.90.
The cost of one researcher's coffee budget just outperformed years of hand-tuned work.
Paper is from Google and Meta.
Read it here: https://arxiv.org/abs/2605.08083

Big Tech shills whining about @GavinNewsom appointment of @ChopraUSA get it backwards: little tech is the force that makes California’s tech economy dynamic, envy of the world. Brin, Zuck, Page, Cook have turned their backs on California while sucking up to the White House.

How to upgrade your self-image in 1 day:
Close your eyes.
Become aware of the sensations in your body.
Focus on how it feels to breathe slower. Do this as you slowly relax every muscle in your body. Head to toe.
Within five minutes you'll notice a tingling sensation in your palms while you relax.
Once that sensation arrives, you will be able to visually go within yourself to create permanent changes in the subconscious: transforming who you believe yourself to be.
Now for the next few minutes, allow yourself to mentally recall a time where you won.
The first time you felt truly loved.
A risk you took that paid off. The first time you realized you were capable of more than you thought.
Experience the scene fully.
You might notice warm feelings in your chest as you replay these memories.
This is the good part.
Fly to the future and imagine the greatest version of you. Notice how ASSERTIVE they stand. Notice how they appear. Sense their confidence.
They've overcome the things that keep you up at night. They've built what you've only imagined. They live life knowing exactly who they are.
Allow the image to become bigger, brighter...
Time will slow as your subconscious examines every detail.
Now imagine how it would feel if this was you right now. Picture yourself in their shoes. Can you feel it?
Linger there for five minutes.
You find yourself softly smiling knowing this is the happiest and most relaxed you have felt in a long time.
Lie there for a while. Enjoy this moment. Know that you can return here whenever you wish, exactly to this place, where you feel exactly as you do now.
All you have to do is close your eyes and imagine yourself back here. You feel rejuvenated by that thought.
Open your eyes and interact with the world from this state.
Believe it or not this is what you are eventually supposed to feel every single day. You will begin to notice that all the things you want to be are already within.
Few take the time to practice this.
Do this daily and you begin to rewire your mind. Change your beliefs. Think, act, and become the person you've seen glimpses of throughout your life.
This is Self-Hypnosis.
This is Psycho-Cybernetics.
This is how you do it.
I've released a full PDF 8 week workbook including 20+ exercises on how to do this on my substack.
(Link is in tweet below)
—Cogito Ergo Sum
DAN KOE: http://x.com/i/article/2010742786430021632

There is no merit in making something more complex than it has to be, but simplicity for simplicity’s sake will also fail us. The challenge is not to reject simplicity but to use it humbly. We should not confuse simplicity and, by extension, our reductionist thinking with reality. Here are some methods to complement simplicity:
1) Face the Limits | Simplifying frameworks has a domain of validity. Knowing where a simplification breaks down is as important as knowing when and where it applies.
2) Zoom In and Out | Each problem looks different from different angles and altitudes. By zooming in and out, we’ll likely apply different frameworks and mental models to simplify our problem. Diversity of vantage points and mental models can lead to different understandings and be illuminating.
3) Convergence | When we apply various simplifying frameworks, do our answers converge? If not, we need a deeper understanding of our problem.
4) Probabilistic Thinking | As a simplifying method, we view the world as static and stationary, yet we know the world is not static and non-stationary. It is often helpful to apply a probabilistic approach.
5) Humility | Simplifying conclusions and beliefs should be loosely held. Be careful of narratives that feel too elegant. While we struggle for clarity, the truth is often messy.
Alfred Lin: http://x.com/i/article/2053887110260850688

This is ridiculously bad advice.
You should change your idea if users don’t want it. Investors are a lagging indicator.
weisser: If you talk to 100 seed funds and they won’t invest in your company you’re actually wrong.
Was reminded of this conversation I had with @eoghan.

Tell me if you've seen this before:
"Today is a hard day. We've made the difficult decision to cut 1,000+ employees. Our business has never been stronger, but AI has changed how we work..."
Whenever I read one of these, I mentally translate it to what's actually happening:
"Today is a hard day. We overhired during the zero-interest era and need to cut costs. AI is easy to blame, so…"
Over 80,000 tech employees were laid off in Q1, the highest since 2022-23.
Here's my rant why these layoffs keep happening and 6 ways to take back control as an employee.
📌 Read now: https://creatoreconomy.so/p/enough-with-the-ai-made-us-do-it-layoff-memo

Hermes agent working with the massive gbrain setup (by @garrytan) called this the most interesting post of 2025. I’m going deep on what a proper second brain looks like when you wire it directly into your agents instead of yet another notes app.
I’ve just rebuilt my whole knowledge stack on top of gbrain: old Second Brain, Obsidian vault, 20 years of blog posts, X export, bookmarks, Facebook, work archives – all indexed by meaning and exposed via MCP so Hermes / Claude / IDE agents can actually use it instead of ignoring it. Full pipeline, stats, and architecture diagrams are in the write-up.
Stas Kulesh: We’ve lived in Auckland for almost 20 years, and driving was the only way to get around the city. It’s built that way. I started driving at 30 and, naturally, as a young adult and father who could only afford to live in a suburban area, I had to commute to the central business

I had a chance to interview @jack on Long Strange Trip and then sit in on his Q&A with a bunch of Sequoia founders yesterday. Here's my take followed by my takeaways.
Almost all of us are running a derivative of the playbook laid out in Andy Grove's "High Output Management" book that has been lightly edited down through the generations. Jack's set of ideas is a stark departure from that playbook. It reminds me of the shift I went through at the start of my career (pre web - yes, I'm that old!) to "digital transformation," but this is a much bigger, harder shift.
Some of my CEO friends have pushed back on these ideas saying something to the effect that Jack isn't a great CEO so we shouldn't listen to him. First, I'm not sure if that is true, but even if it is true, he is an undeniable innovator and first principles thinker applying that thinking here to org design, not just product design. Second, @brian_armstrong, a consensus great CEO is running something that sounds VERY similar to this playbook as well as almost every startup created in the last 18 months. Third, the first quarter Jack printed after putting this in place was a banger. ...To that end, I think we should all call this new playbook, "Dorsey Mode" after the guy who stuck his neck out.
If you want to run Dorsey Mode, a lot of things fall out of it that fall out of it:
1. Strategy - Planning cycles are out the window because the speed increases too much. All those 1 way doors you were procrastinating now look like 2 way doors.
2. Distribution - Given how much easier it is going to get to build products, competition and customer confusion will reign. In this new world, distribution is king. Companies with truly creative distribution strategies (rare!) will gain advantage. Also, long live ye olde enterprise sales.
3. Interviewing - All of the startups I work with have changed their interviewing process. Many have a case with a hard ai problem to solve embedded in it or at least have the prospective employee open their laptop and show them something interesting they built with ai. 4. Profile - There was a split in my group of CEOs at the Q&A -- some were learning hard into pilled jr engineers and some were leaning hard into very senior engineers. It roughly seems like the older companies with more code like Meta and HubSpot, are leaning harder into the very senior engineering types. ...Everyone seems keen to hire "curious" types not afraid to go very deep down rabbit holes.
5. Org shape - Triangle shaped org charts are like democracy, its the least bad system we've got. The biggest problem with triangles is that they get worse with size. The new org chart, in theory, is circular with the world model in the middle and very small teams surrounding it. Very few pure managers in the middle anymore. This seems "early," but directionally right to me.
6. Compensation - The difference between a middling employee and a top one is getting much wider which will necessitate a net new pay scale with a much higher standard deviation.
7. Titles - Jack got rid of them and is trying to focus everyone on the work as opposed to the level. As someone who tried this earlier in my career at HubSpot, I'm a little skeptical of this one, but the meta point of trying to focus people on what they "lead" versus who they "manage" is a good one that I hope sticks.
8 Decisions - Almost all decisions these days are made by carbon based life forms. Dorsey Mode turns an increasing amount of decisions over to the system.
9. IT - This is will totally change as their primary function will be to building the scaffolding for the world model and enable the company to keep feeding it the context and taste it will need to improve. EVERYTHING needs to be "legible" (I hate that I'm using that overused word, but it works) ...Btw, an early sign that a company is in Dorsey Mode is when they record every meeting, including the one on one's, cleverly stripping out some HR bits and centralizing them for use by the model. Btw, Ray Dalio had it right, but was just too early.
10. Slop - As more non-technical people build more things, there will be more slop. I didn't grok Jack's answer to this and I'm not sure the answer myself, but Dorsey Mode companies will need to figure out a system to reign in the badly designed systems.
11. Agency - This another word I cringe at using b/c it is so overused, but hiring folks with high agency that are self motivated will be key. The tricky part is that the beef with the current generation is that they are less like this than their predecessors.
12. CEO - This isn't something that will bubble up. The CEO needs to run hard at it and push it down hard and expect to get pushback from laggards. Jack spends 3 hours every morning building hard things with the new tools. ...AI isn't something that lends itself well to learning by reading or watching a video, so CEOs are running hackathons, show & tell's, building days, office hours, and token leader boards. ...Btw, lots of companies are doing the leader board thing (including mine) -- I think this works until it doesn't!
13. Budgets - Budgets in a lot of software orgs are basically enumerated in headcount. The denomination goes back to dollars.
As Jack (and my cofounder @Dharmesh) likes to say, in some cases, it is a lot riskier not to take a risk and this is one of those cases.
Ben Lang: Jack Dorsey on how every company can now be a mini-AGI:

“I don’t think I’ve typed a line of code since December.”
Most people heard that quote from Andrej Karpathy and thought:
“Cool AI moment.”
@garrytan heard something much bigger:
“What if one person could operate like an entire software company?”
Then he built gstack.
And this might genuinely be one of the most important open-source AI repos right now.
Because gstack is not another AI coding wrapper.
It’s a full operational system for AI-native software development.
Not AI as autocomplete.
AI as:
• Product strategist
• CEO reviewer
• Staff engineer
• QA lead
• Security auditor
• Designer
• Release manager
• Browser operator
• Parallel execution layer
All running through structured workflows.
That’s the real breakthrough.
Most people still think AI coding is about generating code faster.
But code was never the biggest bottleneck.
Coordination was.
Meetings
Reviews
QA
Architecture decisions
Testing
Deployment
Documentation
Debugging
Context switching
That overhead is what slows teams down.
gstack tries to automate the entire layer around software creation itself.
And honestly… that changes everything.
The craziest part is Garry’s productivity claim:
~810× higher output than 2013
Normalized for logical code changes
Not inflated AI LOC spam
Same person
Same brain
Different tooling
That sentence alone should make every software company pay attention.
A few things that stood out to me:
→ /office-hours interrogates your product idea before coding starts
→ /autoplan chains CEO + design + engineering reviews together automatically
→ /qa opens a real browser, tests flows like a human, finds bugs, and generates regression tests
→ /review acts like a senior engineer looking for production failures
→ /pair-agent lets multiple AI agents collaborate together in parallel
→ Persistent browser sessions + memory systems make the agents feel operational instead of conversational
This is where the shift becomes obvious:
We’re moving from:
“AI helps developers write code”
to:
“developers orchestrate systems of AI workers”
That is a completely different world.
And I think most people are still massively underestimating how quickly this transition is happening.
The most interesting startups of the next decade may not look like traditional software teams at all.
100% open source
Definitely worth studying
Link in comments 👇
Nainsi Dwivedi: http://x.com/i/article/2054588729801822208

SF & CA Kids are being indoctrinated & radicalized by racist opinions in Ethnic Studies classes presented as facts. Critical race theory feeder courses in K-8th has been rolling out under the guise of "social studies", while civics and US+World history is being sidelined. Teacher's union leaders are pushing this garbage. 🧵
https://nypost.com/2026/05/13/us-news/san-francisco-schools-under-fire-over-ethnic-studies-identity-course/

98% of sexual assault predators in America are never convicted of their crimes. They walk free.
We value our privacy in America. Even in public. Post a photo of a @Flock_Safety camera in public and you’ll get lots of views. Instant outrage. But I’m more outraged by this:
Every minute, someone in our country is sexually assaulted. Every nine minutes, the victim is a child. 15% of victims told RAINN they don’t report these crimes because they don’t believe they’ll get justice. If 98% walk free? Too often, they’re right.
A registry tells you if a convicted predator (2% of cases) lives in your community. It doesn't tell you they got in their car. They’re driving to a mall. They’re going to meet a child.
In San Mateo, a convicted offender drove 30 miles on a Sunday afternoon to a busy shopping mall to meet a minor. Flock alerted officers the moment he arrived.
In Jackson, TN, Flock helped locate a suspect targeting even younger victims.
In Cobb County last Wednesday, authorities caught a 51-year-old man accused of harming at least nine children after a multi-jurisdictional manhunt. He was believed to be traveling to another county to harm more.
I get why people worry about cameras in public. I understand the outrage.
But I also know this: we allow our phones to track our every step in exchange for directions and a fitness score. We submit to TSA screening, knowing it will keep us safe when we fly. We accept geofencing to stop credit card fraud. At what point do we consider solutions that stop this kind of violent crime?
For me personally, the choice is clear. Predators shouldn’t walk free.

If only more money == better outcomes
"The City should focus its effort and dollars on student learning and shrink spending that’s not delivering results. This includes adjusting school funding when enrollment shrinks and combining schools that have shrunk so much that they are no longer cost-effective to run.”
"The city’s Department of Education has 157,900 fewer students than a decade ago, but it operates 39 more schools."
New York Post: NYC dumping record $43B into public schools - at whopping $44K per pupil - despite plummeting enrollment, poor test results https://trib.al/tTW3RXv

Are autonomous vehicles (self-driving cars) “less able to detect people of color”? That’s what I read in The Atlantic this weekend, in Xochitl Gonzalez’s “People Who Don’t Like People Are Making All of Our Decisions.”
It appears to be entirely false.

"We're going to make your neighborhood better, not worse off. [...] We lose public trust when we just keep throwing money in an inefficient way at the problem."
If every blue-state politician thought and acted like this, we would be much better off.
Ezra Klein: Here's @MattMahanSJ, on the lessons — both politics and policy — of trying to cut unsheltered homelessness in San Jose to zero

these people are just very young, and oddly disinterested in actually learning about the past. bullshit has *always* followed hype in san francisco. there was never some halcyon moment of "everyone really building." there were great companies, and there were many more clowns.
Kai: Avi Patel says nobody builds real companies in SF anymore
"SF is filled with striver people that only care about fundraising and not about building real businesses. All they go out and do is brag about their last valuation and then you look at their company and it's a fucking

Careful reporting by Kelsey here.
Atlantic should correct and apologize. Waymo uses lidar. It *literally* does not see race.
Kelsey Piper: Are autonomous vehicles (self-driving cars) “less able to detect people of color”? That’s what I read in The Atlantic this weekend, in Xochitl Gonzalez’s “People Who Don’t Like People Are Making All of Our Decisions.”
It appears to be entirely false.

Do AI models really learn physics, or just learn what physics looks like?
Flatiron's @_helenqu, with @PolymathicAI & CDS researchers including @ylecun, finds that models predicting in latent space recover physical parameters better than pixel-level ones.
https://nyudatascience.medium.com/why-ai-that-sees-physics-may-need-to-look-beyond-the-pixels-181e42157488

NEW EPISODE: “The engineers who hate vibe coding and AI the most are the people who would benefit the most from embracing it.” -@garrytan of @ycombinator
0:00 Garry Tan
0:15 Chaos, Survival, and Discovering Computers
6:42 School, Mathematics, and the Beauty of Order
13:18 Video Games, Storytelling, and Alternate Worlds
21:04 Engineering, Design, and Learning to Build
32:15 Startups, Silicon Valley, and Taking Big Risks
43:28 Y Combinator + Identifying Exceptional Founders
58:47 AI, Programming, and Creative Revolution
1:13:10 Taste, Reps, and Great Builder's Intuition
1:28:54 Why Certain People Become Founders
1:39:36 Power, Responsibility, and Future Tech
1:50:22 Reinventing Institutions
1:59:38 AI, Manufacturing, and a More Abundant World

So not only did The Atlantic start with an odious moral premise: "a life saving technology is bad if it saves more white lives than Black lives," but then also it was fabricated?
Incredible. I guess we're doing 2020 politics all over again.
Kelsey Piper: Are autonomous vehicles (self-driving cars) “less able to detect people of color”? That’s what I read in The Atlantic this weekend, in Xochitl Gonzalez’s “People Who Don’t Like People Are Making All of Our Decisions.”
It appears to be entirely false.

New stat from @vercel's AI Gateway in @BusinessInsider: Gemini 3 Flash is leading across AI models in token usage as of April. 🚀 See more stats on how developers are using our models → http://goo.gle/4dlBiol
📊via @BusinessInsider

People have seen me posting positive things about @MattMahanSJ.
I should mention that he has not paid me.
I just feel like he would make the best governor.
@TomSteyer feels like he needs to pay people to say that about him.
https://www.sacbee.com/news/politics-government/capitol-alert/article315718825.html

Claude Code weekly limits are increasing 50%, now through July 13.
Live now for all Pro, Max, Team, and seat-based Enterprise users.

Claude Code weekly limits are increasing 50%, now through July 13.
Live now for all Pro, Max, Team, and seat-based Enterprise users.

>hooked up a shared brain across hermes and openclaw.
>agents write decisions every day into it. tokens, junk, raw logs stay out.
>next agent on a task searches first. takes what's there, asks me for the rest.
>shelves grow thicker every day. your ai employees stop acting like strangers.
>same method works for any agent combo. plug your whole ai-employee crew in.
Vox: http://x.com/i/article/2054572896207400960

We asked the CEO of HuggingFace @ClementDelangue what the risks of releasing powerful open source models are.
He says restricting AI creates more risk than openness.
"Six, seven years ago, at the time it was GPT-2, and there was already a lot of people saying that it was too dangerous to release in open source."
"Mythos, when it was announced was crazy dangerous... In a few weeks or a few months, everyone is gonna be using Mythos, and not destroy the world as a result."
"For cybersecurity, the biggest risk is that a few players have capabilities that other people don't have... If you make it more open, it's usually easier for defenders to react and make the whole system safer."
"The idea of restricting a technology like AI based on risks is like saying, 'Some people can punch other people, so let's tie down everybody's hands.'"
"Otherwise you slow down progress, you create massive gaps in terms of controls, in terms of capabilities, and you create actually additional risks."
clem 🤗: Weird how some people always target open-source in AI!

First it was:
“Open-source AI will destroy the world” (spoiler: it didn't and it won't)
Now:
“Open-source is a cybersecurity threat because of AI”
Both narratives are far too simplistic.
The truth is that the exact same

Something Big IS Happening.
It's even BIGGER than you thought.
Matt Shumer: http://x.com/i/article/2021095128832622592

AI powered creativity on full display.
Vibecon transforms NYC into a living gallery of code-driven installations, June 17–18.
Two days where code becomes the environment and the medium becomes the message.
Get your tickets at http://vibecon.ai

There are few natural experiments in economics as perfect as Seattle and Bellevue. Perhaps North and South Korea.
The results are in and they are stark. Seattle is suffering from a chronic failure of governance compared to its neighbor.
Viet Q Nguyen: Seattle vs. Bellevue: 20 years of data, side by side
I pulled the numbers and the gap is wider than I expected. Both cities grew about the same (Seattle +40%, Bellevue +34%). But the outcomes diverged hard.
Budget (ex-municipal utilities, real per-capita, 2026 dollars):
•

Re @tetranow @garrytan @ycombinator Really enjoyed this @garrytan episode on @tetranow
The best part was the personal AI movement idea 🧠
It's about user-controlled agents, not centralized corporate AI, emphasizing individual data ownership.
Full summary 👇
https://www.driftnote.net/s/3d3y1h394y