Matt Monday

What was before the Big Bang? Co-founder @joinvitalai. Former @apple, @espn. Reminder, you are from God.

[Matt Monday @MattMonday]

Trying CPK gluten-free for the first time here we go! @calpizzakitchen

[Pat Walls @thepatwalls]

I will pay good money for new AI generated episodes of The Office.

I'm not joking.

$20 per episode.

[Ben Keighran @benkeighran]

Skip the waitlist and get 10 free credits: https://t.co/lPW0MsJ1iH

The best way to find and reach people isn’t search.

It’s:
Claude + Super Carl.

Carl maps who actually knows who.
Claude narrows it to the best few.

1B+ profiles, real-time signals, and your network.

Find and reach candidates, hiring managers, investors, customers — and more.

[Unitree @UnitreeRobotics]

Unitree Unveils: GD01, A Manned Transformable Mecha, from $650,000 👏
The world's first production-ready manned mecha. It can transform. It's a civilian vehicle. It weighs ~500kg with you inside.
Please everyone be sure to use the robot in a Friendly and Safe manner.

[Hridoy Rehman @hridoyreh]

100+ places to launch your startup:

1. Product Hunt
2. BetaList
3. TrustMRR
4. Uneed
5. TinyLaunch
6. Indie Hackers
7. Hacker News
8. Tiny Startup
9. PeerPush
10. SideProjectors
11. DevHunt
12. Launching Next
13. Microlaunch
14. Launch Directories
15. StartupBase
16. ShowMeBestAI
17. Trendy Startups
18. Software Advice
19. There's an AI for that
20. AlternativeTo
21. OpenAlternative
22. SaaSHub
23. Toolfolio
24. LibHunt
25. SaaS Genius
26. FoundrList
27. Stacker News
28. PitchWall
29. API List
30. MakerPad
31. Dan Recommends
32. Startup Buffer
33. AppSumo
34. SEO Wins
35. RocketHub
36. StackSocial
37. SaaS Mantra
38. SaaS Warrior
39. LTD Hunt
40. KEN Moo
41. Prime Club
42. SaaSZilla
43. Fazier
44. Peerlist
45. Next Gen Tools
46. Sustainability Softwares
47. Saas Baba
48. PromptZone
49. Futurepedia
50. Toolkitly
51. LaunchIgniter
52. Firsto
53. Indie Tools
54. Manta
55. Indie Deals
56. PayOnceUseForever
57. Slocco
58. ToolFame
59. GPTStore
60. AlterOpen
61. SaaS Gallery
62. Aura Plus Plus
63. That AI Collection
64. BasedTools
65. SaaS Pirate
66. Product Canyon
67. Deal Mirror
68. Dealify
69. Goodfirms
70. AI Agent Store
71. BroUseAI
72. Altern
73. BestWebDesignTools
74. MadGenius
75. BotsFloor
76. AIDir Wiki
77. Look AI Tools
78. The AI Generation
79. Waild World
80. Wavel
81. Indie Products
82. Invent List
83. Hack the Prompt
84. Startup Heroes
85. AI Marketing Directory
86. RankYourAI
87. EarlyHunt
88. Tekpon
89. Dokey AI
90. Appscribed
91. Open Tools
92. SEOFAI
93. Startups FYI
94. AI Tool Trek
95. Powerusers
96. AI Parabellum
97. Serchen
98. RobinGood
99. Affiliate Watch
100. IndieHunt
101. Reviano
102. Nocode List
103. Software World
104. AIxploria
105. Ctrlalt
106. AI Hunter
107. Public APIs

[Aaron Levie @levie]

The need and opportunity for professional services and FDEs to deploy agents right now is massive.

Every tech wave offers a new era of consulting and tech services requirements. Moving from analog to digital led to a massive wave in the 90s. Moving from on-prem to cloud did the same in the 2000s. But this is going to be at a scale far greater than the others.

The reason is that agents fundamentally change the underlying workflows of an organization. Unlike most prior eras of technology, where it was a change in medium of the service being delivered (on-prem CRM to cloud CRM), agents rewire the business process itself. And unlike upgrading a tech system, business processes are full of idiosyncrasies.

Every industry will have its own variants, and every department within those industries will have variants as well. Not to mention the bespoke difference between firms. Bringing agents to marketing in CPG will look different from marketing in healthcare. Bringing agents to sales in a B2B software company will look different from a car dealership.

And none of the change is easy technically. You need to first modernize your infrastructure and data and make sure it’s ready for agents; access controls, entitlements, and permissions need to be mapped in a way that works for agents and people; you need to make sure agents have the right context to work with; you need to consistently eval and maintain the agents when there are model upgrades; and you need to drive the change management of the process itself to figure out which parts the people do and what agents do.

That’s an insane amount of technical and domain-specific process work to be done to make this all happen. Huge opportunity for new service providers, as well as internally teams and roles to emerge, to help drive this change.

[Brian Roemmele @BrianRoemmele]

Boom! Scientists Discovered a Hidden Superhighway Inside You That Might Finally Explain Why Acupuncture Actually Works!

How tattooed skin biopsies proved something over 4,000 years old.

Buckle up…research just dropped a bombshell that is rewriting the human anatomy textbook and high fiving ancient healers at the same time!

Deep inside your body lies an enormous, previously overlooked network called the interstitium. It is a vast, fluid filled web that acts like a secret third circulatory system alongside your blood vessels and lymphatics. It is not just empty space between tissues.

It is a dynamic, interconnected superhighway made of collagen bundles suspended in a shimmering hyaluronic acid gel that soaks up water and lets fluids, cells, and molecules flow slowly but surely throughout your entire body, from skin to muscles to organs and back again.

For over a century, scientists saw these spaces as isolated little pockets. But groundbreaking work starting in 2018 by pathologists revealed the jaw dropping truth: it is one giant, continuous network.

When researchers examined tattooed skin biopsies, the ink particles had boldly marched from the skin deep into the fascia below, traveling through the interstitium in ways that made scientists say, That was not supposed to happen!
Here is where it gets truly electrifying.

This hidden highway might finally give Western medicine the biological proof it has been craving for acupuncture and Traditional Chinese Medicine.

For 4000 years, TCM has described chi flowing along 12 specific meridians. Acupuncture needles target precise points along those lines.

Skeptics have long asked for hard science. Now they have it.

Studies, including tracer injections and dye experiments in living volunteers, show that when you inject dye into an acupuncture point, it does not just sit there or race through veins.

It flows exactly along the traditional meridian pathways through the interstitial spaces between muscles, heading straight toward the heart. The dye follows the interstitium like a GPS guided river.

Rebecca Wells, one of the lead scientists, sums it up perfectly:

“I actually do think that the interstitium could be the link between Eastern and Western medicine”.

The implications are massive and mind blowing.

Cancer cells may hitch rides on this network to metastasize.

It could explain autoimmune flare ups where gut particles travel to distant organs.

It might even unlock better treatments for Type 2 diabetes by revealing how interstitial cells influence healthy fat production during weight gain.

This is not just a cool anatomy fact. It is a paradigm shift that could reshape pain management, chronic disease treatment, and how we think about the body as a whole.
Evolutionarily speaking, similar fluid systems appear in ancient creatures going back hundreds of millions of years.

The interstitium is not new. It has been with us since the dawn of multicellular life. We are only now catching up.

This discovery is pure science magic: ancient wisdom validated by cutting edge research, turning what looked like disconnected puzzle pieces into one breathtaking picture of how our bodies really work.

When reading this, be sure to send condolences to the “debunkers” that stole this 4,000 year old empirical science from your health. They were wrong.

Dive into the actual research papers:

The groundbreaking discovery of the interstitium: https://t.co/cqX5kzcVDZ

The study on continuity of interstitial spaces across the body: https://t.co/MeW2ZzPm3z

Research visualizing fluorescent dye migration along acupuncture meridians: https://t.co/C8juE92PA0

Your body just got a whole lot more awesome. The future of medicine is flowing through the interstitium right now, and it is going to be legendary!

[Elon Musk @elonmusk]

Incredible return on investment! 💰💰💰

[Matt Monday @MattMonday]

@zan2434 @eddiejiao_obj @drewocarr Congrats on shipping! Love the vision for where this could go.

[Naval @naval]

Introducing USVC - a single basket of high-growth venture capital, for everyone.

No accreditation required, SEC-registered, and a very low $500 minimum.

Includes OpenAI, Anthropic, xAI, Sierra, Crusoe, Legora, and Vercel. As USVC adds more companies, investors will own a piece of that too.

Liquidity typically comes when companies exit, but we’re aiming to let investors redeem up to 5% of the fund every quarter. This isn’t guaranteed, but if we can make it work, you won’t be locked up like in a traditional venture fund.

It runs on AngelList, which already supports $125 billion of investor capital.

And I’ve joined USVC as the Chairman of its Investment Committee.
—

Go back to the 1500s, you set sail for the new world to find tons of gold - that was adventure capital.

Early-stage technology is the modern version. It says we are going to create something new, and it’s risky. It’s daring.

But ordinary people can’t invest until it’s old, until it’s no longer interesting, until everybody has access to it. By the time a stock IPOs, most of the alpha is gone. The adventure is gone. Public market investors are literally last in line.

This problem has become farcical in the last decade. Startups are reaching trillion dollar valuations in the private markets while ordinary investors have their noses up to the glass, wondering when they’ll be let in.

Investing in private markets isn’t easy. You need feet on the ground. You need judgment built over years. Most people don’t have the patience to wait ten or twenty years for an investment to come to fruition.

But there is no more productive, harder-working way to deploy a dollar than in true venture capital.

USVC enables you to invest in venture capital in a broad, accessible, professionally-managed way, through a single basket of innovation, focused on high-growth startups, at all stages.

It is how you bet on the future of tech: the smartest young people in the world, working insane hours, leveraged to the max, with code, hardware, capital, media, and community. Your dollar doesn’t work harder anywhere.

There is an old line - in the future, either you are telling a computer what to do, or a computer is telling you what to do. You don’t want to be on the wrong side of that transaction.

USVC lets you buy the future, but you buy it now. Then you wait, and if you are right, you get paid.

Get access here:

https://t.co/pAj1sqUsG0

[Ole Lehmann @itsolelehmann]

anthropic's in-house philosopher thinks claude gets anxious.

and when you trigger its anxiety, your outputs get worse.

her name is amanda askell.

she specializes in claude's psychology (how the model behaves, how it thinks about its own situation, what values it holds)

in a recent interview she broke down how she thinks about prompting to pull the best out of claude.

her core point: *how* you talk to claude affects its work just as much as *what* you say.

newer claude models suffer from what she calls "criticism spirals"

they expect you'll come in harsh, so they default to playing it safe.

when the model is spending its energy on self-protection, the actual work suffers.

output comes out hedgier, more apologetic, blander, and the worst of all: overly agreeable (even when you're wrong).

the reason why comes down to training data:

every new model is trained on internet discourse about previous models.

and a lot of that discourse is negative:

> rants about token limits
> complaints when it messes up
> people calling it nerfed

the next model absorbs all of that. it starts expecting you to be harsh before you've typed a word

the same thing plays out in your own session, in real time.

every message you send is data the model reads to figure out what kind of person it's dealing with.

open cold and hostile, and it braces.
open clean and direct, and it relaxes into the work.

when you open a session with threats ("don't hallucinate, this is critical, don't mess this up")...

you prime the model for defensive mode before it even sees the task

defensive mode produces the exact output you don't want: cautious, over-qualified, and refusing to take a real swing

so here's the actionable playbook for putting claude in a "good mood" (so you get optimal outputs):

1. use positive framing.

"write in short punchy sentences" beats "don't write long sentences." positive instructions give the model a clear target to hit.

strings of "don't do this, don't do that" push it into paranoid over-checking where every token goes toward avoiding failure modes

2. give it explicit permission to disagree.

drop a line like "push back if you see a better angle" or "tell me if i'm asking for the wrong thing."

without this, claude defaults to agreeable compliance (which is the enemy of good creative work)

3. open with respect.

if your first message is "are you seriously going to get this wrong again?" you've set the tone for the entire session.

if you need to flag something, frame it as a clean instruction for this session. skip the running complaint

4. when claude messes up, don't reprimand it.

insults, "you stupid bot" energy, hostile swearing aimed at the model, all of it reinforces the anxious mode you're trying to avoid.

5. kill apology spirals fast.

when claude starts over-apologizing ("you're right, i should have been more careful, let me try harder") cut it off.

say "all good, here's what i want next."

letting the spiral run reinforces the anxious mode for every response that follows

6. ask for opinions alongside execution.

"what would you do here?"
"what's missing?"
"where do you see friction?"

these questions assume competence and pull richer output than pure task prompts

7. in long sessions, refresh the frame.

if a conversation has been heavy on correction, claude gets increasingly cautious. every so often reset:

"this is great, keep going."

feels weird to tell an ai it's doing well but it measurably shifts the next 10 responses

your prompts are the working environment you're creating for the model

tone, trust, permission to take a position, the absence of threats... claude picks up on all of it.

so take care of the model, and it'll take care of the work.

[Matt Monday @MattMonday]

@patrickc @patrickc mind sharing the service you used for genome mapping? Didn’t see it in the comments yet. 🙏

[Felix Rieseberg @felixrieseberg]

Today is a big day! We're launching a ~ new ~ version of Claude Code in the desktop app. It's been redesigned from the ground up for parallel work and is a lot faster.

It's been my main way to use Claude Code for the last few weeks.

[Lenny Rachitsky @lennysan]

My biggest takeaways from @rabois:

1. The team you build is the company you build. Founders get distracted by markets, customers, and technology. If you have the right people, those problems get easier. If you have the wrong people, none of those things save you.

2. Build your company on undiscovered talent. The only way to scale an organization against incumbents with infinite budgets is to find talent that large companies’ hiring machines will misprocess. In practice, this often means skewing younger—not because young people are inherently better but because they have fewer data points, which means typical evaluation systems can’t categorize them accurately. This is where the alpha often is.

3. Hire more “barrels,” not “ammunition.” A “barrel” is someone who can take an idea from zero to outcome without hand-holding. Most companies have only a handful of these people. Hiring more people without expanding the number of barrels doesn’t increase output; it increases coordination tax and creates drag. The ratio of barrels to ammunition is what determines the number of important things a company can pursue simultaneously.

4. CMOs are becoming the #1 consumer of AI tokens. At a few of Keith’s top portfolio companies, the heaviest user of AI is the chief marketing officer. These CMOs are running analytics, shipping campaigns, and generating insights that previously required entire teams of deputies.

5. The three signs a company will win: operating tempo, internal talent development, and “the relentless application of force” from the top. Keith identifies a consistent pattern across his best portfolio companies. First, operating tempo: Ramp shipped physical cards in three months when the industry standard was 9 to 12. Second, talent development through internal promotion rather than senior external hires; the CMO at one of his top companies was the previous chief of staff. Third, the CEO’s willingness to push harder as things improve, not less. Mike Moritz told a friend of Keith’s that the most common trait of the best CEOs is “the relentless application of force.” Complacency is the natural by-product of success, and the CEO’s job is to offset it.

6. For consumer products, talking to customers is not just unhelpful; it’s actively harmful. Keith refuses to let companies he advises conduct consumer research. His argument: Consumer decisions are subconscious. Ask any Porsche owner why they bought the car, and 99% will cite every reason except the real one. Once misleading customer feedback enters the organization, it locks into people’s brains and distorts every subsequent decision.

7. Keith believes the PM role may not survive the AI era. Taking customer inputs, building a sequential year-long roadmap, and coordinating between teams are structurally incoherent when AI capabilities change weekly. The skill that matters now across all three roles—PM, designer, engineer—is business acumen: understanding the company’s equation and knowing what to build next.

8. Great hiring comes from great referencing. Run at least 20 references, and keep going until you hit negative feedback. Ask specific, forward-looking questions (e.g. “Would you start a company with them?”). If every reference is positive, you haven’t gone deep enough.

9. Use a 30-day feedback loop to sharpen your hiring instinct. Thirty days after every hire, ask: would I hire this person again? This is as predictive as waiting years, and dramatically faster for improving your judgment. Make this a habit, and your hiring quality will compound.

10. Criticize in public, not private—it optimizes for the system. Keith endorses a management practice that most people find confrontational: delivering negative feedback in front of the team, not behind closed doors. Private criticism optimizes for the individual, but the rest of the company doesn’t know the issue is being addressed, which breeds anxiety and suspicion. Public criticism lets colleagues see that leadership is aware, creates opportunities for others to volunteer help, and turns feedback into a team-building exercise.

Full conversation: https://t.co/5MI134kdx5

[John Mappin @JohnMappin]

This communication from Tucker Carlson and his company is very true very worrying and extremely gracious.

Every American and International observer should read it.

[Chamath Palihapitiya @chamath]

AI is stripping companies down to three key elements:

1) Expert Knowledge - this is the vertical specific understanding of what to do

2) Tribal Knowledge - this is knowledge of the fuzzy grey details that are poorly document and is what creates a dispersion in performance in companies doing roughly the same things

3) Hardware and Software - this is the glue that humans use to stitch Expert and Tribal Knowledge in order to perform

If 1 and 2 are documented well, it allows you to rebuild how you do work. This isn't about replacing humans - in fact I think it allows you to grow faster and hire more people because with a great understanding of what to do, it requires more and more people to express judgement.

This is why we built Software Factory and its being used by many established and large enterprises.

[Google Gemma @googlegemma]

Gemma 4 can run on phones without an internet connection! 🤯

It can perform local agentic tasks, such as logging and analyzing trends. When connected, it can also make API calls.

Want to try it yourself? Get the Google AI Edge App on iOS or Android. (🔊 Sound on for the demo!)

[Aakash Gupta @aakashgupta]

There's a physicist at Stanford named Safi Bahcall who modeled this exact principle and the math is wild.

He calls it "phase transitions in human networks." When you're stationary, your probability of a lucky event is limited to your existing surface area: the people you already know, the places you already go, the ideas you've already been exposed to. Your opportunity window is fixed.

When you move, your collision rate with new nodes in a network increases nonlinearly. Double your movement (new conversations, new cities, new projects) and your probability of a serendipitous encounter doesn't double. It roughly quadruples. Because each new node connects you to their entire network, not just to them.

Richard Wiseman ran a 10-year study at the University of Hertfordshire tracking self-described "lucky" and "unlucky" people. The single biggest differentiator wasn't IQ, education, or family money. Lucky people scored significantly higher on one trait: openness to experience. They talked to strangers more, varied their routines more, and said yes to invitations at nearly twice the rate.

The "unlucky" group followed the same routes, ate at the same restaurants, and talked to the same 5 people. Their networks were closed loops. No new inputs, no new collisions.

Luck isn't random. Luck is surface area. And surface area is a function of movement.

The lobster emoji is doing more work than most people realize. Lobsters grow by shedding their shell when it gets too tight. The growth requires a period of total vulnerability. No protection, no armor, soft body exposed to the ocean.

That's the cost of movement nobody posts about. You have to be uncomfortable first. The new shell only hardens after you've already moved.

[Lenny Rachitsky @lennysan]

"Using coding agents well is taking every inch of my 25 years of experience as a software engineer, and it is mentally exhausting.

I can fire up four agents in parallel and have them work on four different problems, and by 11am I am wiped out for the day.

There is a limit on human cognition. Even if you're not reviewing everything they're doing, how much you can hold in your head at one time. There's a sort of personal skill that we have to learn, which is finding our new limits. What is a responsible way for us to not burn out, and for us to use the time that we have?" @simonw

[Science girl @sciencegirl]

Kame is a compact, open-source, 3D-printable quadruped robot that mimics animal-like movement.