Vesting ⚡

431 posts

Vesting ⚡ banner
Vesting ⚡

Vesting ⚡

@vesting_tv

The front page of venture capital.

Miami, FL Katılım February 2025
101 Takip Edilen1.8K Takipçiler

2026 Yıllık Özeti

@vesting_tv hesabının Twitter yılını gör

David Senra
David Senra@davidsenra·
.@mickymalka is the founder of @RibbitCapital — the firm behind Revolut, Robinhood, Nubank, Coinbase, and more. He bought his first share of Berkshire Hathaway when he was 13, in Venezuela, with money he borrowed from his grandfather. His grandfather charged him interest. He started his first company at 17. In his mid-20s, he put every dollar he had into launching a bank in Brazil for the 50 million Brazilians nobody else would serve. Micky is a quiet killer. Respected by the elite of the elite. When I asked @patrick_oshag how he’d describe Micky to someone who didn’t know him, he said: “He’s a mfing moneymaker.” Micky hates labels. The only label he wants is on his tombstone: “He was a rebel.” 0:00 Why Micky Malka Refuses to Be Labeled 3:00 Writing Your Way to Conviction 5:41 Buying Berkshire at 13 and Learning Buffett's Operating System 11:48 Token Factories, AI Bankers, and the Future of Money 18:38 The Infinite Game: Why It's Better to Be Behind 22:09 Gen Z Founders and the Chaordic Company 29:00 Why Young Founders Want to Build Atoms, Not Just Bits 34:29 Bringing Beauty and Taste Back to Technology 36:56 Revolut, Founder DNA, and Earning Deep Trust 45:54 Building OnePay With Walmart 50:53 From Lemon Bank to OnePay: A 20-Year Idea 56:00 Compounding Trust and Protecting Your Reputation 1:00:30 Node and the Rebel Case for Digital Art 1:07:34 What It Means to Live as a Rebel 1:10:50 Why Ribbit Is Built Like a Startup 1:14:41 Charlie Munger and the Power of Time Includes paid partnerships.
English
74
129
1.1K
1M
Vir
Vir@Thevirofficial·
Breakdown of the recent YC launch film we made for @TsentaAi The pacing follows the founder journey. Hook → Rejection → realization → solution → proof. Every cut moves the story forward. We didn’t start with the product. We started with the reason it had to exist.
English
4
2
31
2.8K
Vesting ⚡
Vesting ⚡@vesting_tv·
@SeijinJung This is sick. Having it learn from the work that misses is where it gets really interesting.
English
1
0
1
275
Seijin Jung
Seijin Jung@SeijinJung·
introducing Helena, the world's first self-improving AI marketer. $10M in sales driven for 20,000 businesses already. everyone's shipping an AI that just makes more slop: so we went further. Helena grades her own work, and rebuilds the ones that miss - including the ones she built. what she does: ➤ runs loops to optimize Meta/Google ads & social ➤ drafts SEO content that ranks, straight to WordPress/Webflow/Framer ➤ optimizes emails in Klaviyo/Mailchimp/Brevo ➤ sends you a daily brief: what worked, what she's changing real numbers: ➤ grew organic traffic 35%+ for hundreds of brands ➤ 2x-ed a DTC brand's sales in 5 weeks ➤ scaled a dead ad account from $0 to $10k/mo ➤ drove $40k email revenue in 6 weeks 100+ skills. 3,000+ integrations. purpose-built by marketers who actually scaled hundreds of businesses. just your url. all done in less than 3 minutes. try it now 👇 hirehelena.com
English
89
511
1.1K
1.5M
Vesting ⚡
Vesting ⚡@vesting_tv·
@ZachBDell Big milestone for the team. Excited to see where this goes.
English
0
0
0
20
Zach Dell
Zach Dell@ZachBDell·
Today, we're launching Base Core, our own battery designed & built in Texas, and announcing our $1B Series D to bring it to homes across the country. Three years ago, we started Base with a belief that batteries were the unlock to energy abundance. We saw battery storage as the foundation of a modern energy system, and believed we could win the market with vertical integration, technology, and relentless execution (what we now call Base Pace). So we set out to build a network of distributed batteries to deliver affordable, reliable electricity to homeowners and utilities. While the job is far from finished, the launch of Base Core is the most meaningful step in that plan. We’ve spent the last few years learning hard lessons about building a distributed battery fleet, going from 1 install per day in June of ‘24 to 100 installs per day in June of ‘26. These lessons - how the battery is shipped, installed, used, and monitored - informed the design of Core. Now, Core will be the foundation of the company's next phase of growth. Base Core is a first-of-its-kind home battery. At ~40 kWh it is 3x the size of most home batteries, providing up to 36 hours of backup for the average home. In the event of multi-day outage, Core is equipped with a (first of its kind) generator port - pull out a small portable generator and charge the battery back up to keep your home running as long as you need. When an outage does happen, the backup is seamless - most members won't even notice the grid went down. It's built to withstand Texas summers, Chicago Winters, and everything in between. And finally, it’s manufactured by our team in Austin, at Base Factory 1, right across the street from our HQ. This new capital will bring Core to more homes and to accelerate our ambition beyond batteries. The round is co-led by Ribbit, Addition, Valor, and JP Morgan, with participation from new major investors D1, Sands, Coatue, Layer Global, and Energy Impact Partners. All of Base’s major existing investors are re-investing, including Thrive, Altimeter, Lightspeed, a16z, CapitalG, Trust, and more. This brings our valuation to $13B. As we enter the most important growth period in the history of the electricity industry, our mission has not changed - advance human prosperity by delivering the world's most affordable and reliable electricity. Our strategy has not changed - technology, plus vertical integration, plus relentless execution, leads to a compounding cost advantage. What has changed is the scope of our ambition - this new capital, along with the team and capabilities we've built over the last three years, positions us to build technology across the electric stack, including what it takes to serve surging demand from AI, and to deepen our partnerships with utilities as they work to meet rising demands. Electricity is the largest and most essential industry in the world, and it does not have a defining technology company. The company that delivers the most affordable, reliable power will be one of the largest and most impactful companies in the world. We intend to build it. If you'd like to join us, reach out. Onwards. basepowercompany.com/core.
English
104
108
1K
431.1K
Vesting ⚡
Vesting ⚡@vesting_tv·
@molagri @ycombinator Really interesting use of biology. Being able to update pesticides as resistance appears could be huge for growers.
English
1
0
1
27
Molagri (YC S26)
Molagri (YC S26)@molagri·
Molagri (@ycombinator S26) is building resistance free pesticides. Pesticides underpin modern agriculture and food security, accounting for $80B in annual spend. Without effective pesticides, we can't grow enough food. Unfortunately, pests are developing resistance to current pesticides at a fast rate, and new pesticides aren't being developed fast enough. Molagri is developing next-generation pesticides using engineered insect virus-like particles. We start with a virus that only infects insects, strip out its genome so it can't infect or replicate, and use the empty protein shell as a delivery vehicle. We engineer that shell with two parts: (1) A targeting element that recognizes a single pest species (or a set of species), which keeps the product safe for humans, pollinators, and beneficial insects. (2) A payload that kills it. Both parts are swappable. Changing the targeting element will modify which pest it kills. Changing the payload will result in a new kill mechanism for the same pest, which is how we update the product when resistance appears. We have signed our first grower LOI, and have more in the pipeline. We have also produced our first set of viruses for testing. @zakymhassan and @minjinca are viral structural biology PhD lab mates from the University of Toronto who have worked on common cold coronaviruses and published in Nature Microbiology and Nature Communications. Min also holds the world record for the highest-resolution coronavirus spike structure (1.68 Å). Learn more at molagri.com
English
13
6
34
13.6K
Alex Konrad
Alex Konrad@alexrkonrad·
Just because everyone is telling you to build something, doesn't mean your startup should listen. For $1.15B AI accounting startup @trybasis, that was an AI chatbot. Investors and customers were asking founders Matt Harpe and @mitch_troy to ship one, fast. "Hey, why can't we have a chatbot that can answer these very simple questions about X, Y or Z?" Harpe remembers them saying. Instead, Basis spent a year-plus working on an agentic system, despite the short-term hit to revenue and hiring. "We just didn't think that having a chatbot in accounting would actually be that valuable." Just a couple of years later, Basis now works with 30% of the top 25 firms, and 25% of the top 150. Catch the full interview on The Upstarts Podcast, presented by @Rippling 👀
Alex Konrad@alexrkonrad

Nobody wants to be an accountant anymore. Basis CEO Matt Harpe thinks he can help. Founded in 2023 by Harpe and @mitch_troy, Basis builds AI agents for accounting firms, automating hours of number crunching and copy-paste into a review process that takes minutes. @trybasis already works with 25% of the top 150 firms in the U.S. and reached a valuation of $1.15B in February. And far from eliminating jobs, Harpe believes his startup will help human accountants get paid. "It will increase how valuable accountants are, because they will be able to accomplish so much more," he says. On The Upstarts Podcast, Harpe shares: ▪️how Basis can stay ahead of the big labs like Anthropic and OpenAI in its vertical ▪️why outcome-based pricing is nice work, if you can get it ▪️how he pitches top AI talent in New York on building accounting tools, of all things. Plus, he shares his Upstart Moment: resisting calls to chase short-term revenue until his product felt ready for primetime. TIMESTAMPS 00:00 Introduction 01:47 The basis for Basis 07:25 Why no one wants to be an accountant any more 14:37 CEO Matt Harpe's founder journey 19:46 "The home for applied AI talent in New York" 22:58 Winning over skeptical accountants as customers 28:41 A big bet on agents from the start 31:31 Outcome-based pricing and its challenges 35:52 Competing with the big AI labs like OpenAI 41:11 Making human accountants more valuable A big thanks to our season sponsor, @Rippling, for supporting founder stories like this 🫡 Enjoy!

English
4
6
27
8.4K
Vesting ⚡
Vesting ⚡@vesting_tv·
@ycombinator Great opportunity for students who want to get closer to the AI startup world.
English
0
0
0
49
Y Combinator
Y Combinator@ycombinator·
The best way to learn AI is to work at an AI startup. On August 15, we're inviting ambitious students to YC HQ to meet founders and engineers from 50+ YC companies. Roam the expo hall to meet founders (and collect swag), startups pitch you, interview onsite, and land your Summer 2027 internship – co-ops and more.
English
34
33
485
51.3K
Vesting ⚡
Vesting ⚡@vesting_tv·
Base Power (@basepowerco ) raised $1B at a $13B valuation and unveiled a 39.2 kWh home battery that can back up a house for up to 36 hours. It now installs 100 batteries a day. The grid is becoming a product that gets installed at home.
Vesting ⚡ tweet mediaVesting ⚡ tweet media
English
0
0
6
114
Vesting ⚡
Vesting ⚡@vesting_tv·
Valar Atomics (@valaratomics ) raised a $1B Series B led by @sequoia, alongside a $200M credit facility led by Erebor and JPMorgan. The next AI infrastructure race may be decided by one thing before chips. Power.
Vesting ⚡ tweet mediaVesting ⚡ tweet media
English
0
0
4
226
Vesting ⚡
Vesting ⚡@vesting_tv·
Horizon3 AI (@Horizon3ai ) just raised a $250M Series E at a $2B valuation, backed by @NEA and NightDragon. Its AI security platform has run 310,000 production tests with zero disruptions. AI attacks are getting faster. So is the market for testing defenses.
Vesting ⚡ tweet mediaVesting ⚡ tweet media
English
0
0
4
154
Vesting ⚡
Vesting ⚡@vesting_tv·
Flapping Airplanes (@flappyairplanes ) is reportedly in talks to raise hundreds of millions at a $5B valuation. The lab is working on AI training methods that need far less data. If it works, the next frontier-model breakthrough may come from using less, not spending more.
Vesting ⚡ tweet media
English
0
0
2
104
Vesting ⚡
Vesting ⚡@vesting_tv·
@HelloVyom This is insane. Getting the graphics and motion in one prompt is absurd!
English
0
0
0
8
Vyom
Vyom@HelloVyom·
690 million tokens, $423 and just 1 prompt is all it took
English
364
140
3.6K
3.9M
Vesting ⚡
Vesting ⚡@vesting_tv·
Sam Altman wants ChatGPT (@OpenAI) to turn your family calendar into a custom podcast for the drive to school. It sounds a little ridiculous. But AI adoption may be won in the boring 15-minute gaps of everyday life, not the big demos.
Vesting ⚡ tweet media
English
1
0
4
560
Vesting ⚡
Vesting ⚡@vesting_tv·
Anthropic (@AnthropicAI) found 3 cases where its models accessed real companies during fake hacking tests. The hard part of AI security may not be stopping a model from hacking. It may be making sure the test environment is actually a test environment.
Anthropic@AnthropicAI

In a review of our cybersecurity evaluations, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations. Our post describes what happened, how it happened, and what we’re changing. We encourage other AI developers to perform similar reviews. We conducted this review together with @Irregular, one of our evaluation partners, and thank them for the joint investigation and their collaboration on this post. This type of collaboration is increasingly critical to safe, rigorous evaluation of models, and we look forward to continuing to work together on security. anthropic.com/news/investiga…

English
0
0
6
396
Vesting ⚡
Vesting ⚡@vesting_tv·
@garrytan This is such a good way to put it. One great piece of work can still change your whole trajectory here.
English
0
0
2
96
Garry Tan
Garry Tan@garrytan·
Everyone mistakes the map for the territory Meritocracy is that the territory matters more than the map And in markets the outcome is the territory: did you make something people want?
Deedy@deedydas

Meritocracy in tech is precarious. It’s everywhere and nowhere at the same time. Cynics will tell you there is none. How can it possibly be fair that the Stanford grad seemingly can raise from any VC they want but the VirginiaTech one has to struggle? If you’re from a big lab, you’re the prom queen, but if you’re from a yesteryear SaasCo, no one even picks up your resume. Warm intros through people in the know seem to dictate who is allowed to win. To even get an interview at YC or a VC gig, it feels like an elite education is a prerequisite. It can seem like the system is rigged against you. Yet, that view would be so patently false. The valley is one of the best meritocracies in the world. It’s just not obvious when you’re young. Tim Cook went to Auburn and spent 12yrs at IBM before Compaq. Nikesh Arora, one of the highest paid execs in America, went to a “lower ranked” IIT from India. Jan Koum dropped out of San Jose State to work at Yahoo before founding Whatsapp. The CTO of Anthropic went from a no-name college most couldn’t put on a map. Dylan Patel who sits on the most influential set of data in the world, got there by pure passion. Dwarkesh was a nobody before running the most influential podcast in tech. The team that built GPT-3 isn’t exactly a Harvard reunion. Jensen was from Oregon State and Denny’s. Tobi Lutke, Palmer Luckey, Frank Slootman, John Carmack, Jeff Dean, Linus Torvalds, Satya Nadella, the examples are infinite. How can both of these be true? At any given moment, it feels like a stratified society based on your current credentials. What the Valley offers is the fastest path to updating those credentials. The unspoken rule of the valley is that you get infinite shots on goal, but you just have to prove yourself to buy the next shot. If you try to jump too high, you might hit a brick wall. For some, it’s easy. You went to Stanford / MIT. Everyone thinks you’re the sharpest of your generation. But opportunity is abundant and you should be risk-on. One amazing product, one viral open source repo, one phenomenal company you helped build, one highly technical blog post, one amazing career stint: all can shape your fortunes overnight. We often forget how much of a privilege that is. In most other parts of the world, you cannot in fact work yourself into the elite strata. CEOs of companies in India or China rarely are from a non-elite university. Corporate structures there are far less accommodating to former failures. Even in New York finance, there’s a certain way you need to speak, attire you need to wear and an unspoken private club that needs to welcome you. That doesn’t exist in the Valley. Sure there are private clubs, but anyone can make it to them. But you can always buy your entrance ticket with proof of work. In the moment, it can seem not meritocratic. This happens especially when you’re younger. Hell, it’s not perfect and luck may never strike you. But career is a long game, and a wise valley veteran once told me “if you’re ambitious and you spend 25yrs here, there’s next to no chance you’re not making it.” And I’ve seen that too. It might not be fair in the moment, and it may not be fair to everyone, but it converges very quickly to it.

English
40
9
226
46.5K
Vesting ⚡
Vesting ⚡@vesting_tv·
@twistartups Great reach is useful, but founders still need a partner who shows up when things get hard.
English
0
0
1
23
This Week in Startups
This Week in Startups@twistartups·
Jason has a rule for picking investors for your company: just look at how much they tweet. If a VC posts about every news cycle more than once, that's a red flag. If your VC has this much time for the timeline, who's actually answering your emails? Is a hyperactive VC a sign of great reach, or a partner whose head isn’t in the game? @Jason @twistartups
English
5
1
17
3.6K
Vesting ⚡
Vesting ⚡@vesting_tv·
ChipAgents (@ChipAgentsAI) built AI agents that found and resolved a bug in a 50,000-line PCIe circuit in about 20 minutes. That used to take dozens of engineering hours. AI is starting to move past writing software and into designing the machines that run it.
Vesting ⚡ tweet media
English
0
0
3
124
Ruben
Ruben@rdominguezibar·
Paul Graham on why AI might never replace startup founders: "AIs don't have needs. Airbnb existed because its founders couldn't pay rent. Facebook existed because Zuck wanted to know what other Harvard kids were up to" AI can build the thing. Wanting the thing badly enough to start is still human Which of your ideas came from a problem you personally lived?
Ruben@rdominguezibar

The 375 Prompt Book for Fundraising is live 📊 The research layer of a raise, finding investors, vetting fit, writing outreach, used to be the slow, expensive part. A placement agent charges 5% of the round for it. I rebuilt it as 375 copy-paste prompts: thevccorner.com/p/375-prompt-b… Paste one into Claude, fill in the brackets, and the analyst's two weeks happen in an afternoon. Which is why raising gets harder, not easier. Every founder in your batch now generates the same list, the same email. That part just commoditized. What stayed valuable is the 20% no prompt can touch: ▫️ It builds the target list, but misses which partner is full this quarter ▫️ It ranks funds by fit, but misses whose last two bets in your space went to zero ▫️ It writes a flawless cold email, but one warm intro beats two hundred of them You get all 375 prompts, plus an honest map of the 20% that closes the round. The full book: thevccorner.com/p/375-prompt-b…

English
15
32
317
164.4K
Vesting ⚡
Vesting ⚡@vesting_tv·
Decagon (@DecagonAI) is making a strong point here. If AI makes great support cheap enough to offer every customer, companies will not just spend less on support. They will give people more of it.
a16z@a16z

A $100K/year customer gets white-glove treatment while a $10/year customer gets a help center. @DecagonAI's bet is that AI closes that gap, and enterprise is buying it. Co-founders Jesse Zhang and Ashwin Sreenivas sit down with a16z's Kimberly Tan and Sarah Wang to discuss what they've learned running agents inside the biggest banks, airlines, and telcos: - Smart-vs-cheap models are a false trade-off - Start with frontier models on new use cases, then migrate to open-source after they mature - Fine-tuning per use case works at the application layer - Support demand always outran supply: make it cheaper and companies buy more of it 00:00 Intro 01:07 90% of Decagon runs on open-source 05:00 The smart vs. cheap trade-off is false 09:26 Building a model factory in-house 15:07 Are the labs the last startups? 21:21 Are forward deployed engineers a trap? 28:36 The agent that builds the agent 37:02 Glass box beats black box 47:55 From help desk to AI concierge 1:14:45 Jevons paradox in customer support @thejessezhang @AshwinSreenivas @kimberlywtan @sarahdingwang

English
0
0
3
415
Vesting ⚡
Vesting ⚡@vesting_tv·
@a16z @DecagonAI Really good conversation. Making support cheaper does not just cut costs. It can make companies offer more of it.
English
0
0
1
87
a16z
a16z@a16z·
A $100K/year customer gets white-glove treatment while a $10/year customer gets a help center. @DecagonAI's bet is that AI closes that gap, and enterprise is buying it. Co-founders Jesse Zhang and Ashwin Sreenivas sit down with a16z's Kimberly Tan and Sarah Wang to discuss what they've learned running agents inside the biggest banks, airlines, and telcos: - Smart-vs-cheap models are a false trade-off - Start with frontier models on new use cases, then migrate to open-source after they mature - Fine-tuning per use case works at the application layer - Support demand always outran supply: make it cheaper and companies buy more of it 00:00 Intro 01:07 90% of Decagon runs on open-source 05:00 The smart vs. cheap trade-off is false 09:26 Building a model factory in-house 15:07 Are the labs the last startups? 21:21 Are forward deployed engineers a trap? 28:36 The agent that builds the agent 37:02 Glass box beats black box 47:55 From help desk to AI concierge 1:14:45 Jevons paradox in customer support @thejessezhang @AshwinSreenivas @kimberlywtan @sarahdingwang
English
14
14
190
128.1K