Don't rush to hire a Head of Growth—own it first. Early-stage growth can't be delegated. Founders should dive hands-on into discovering "growth levers": pinpoint bottlenecks in your customer journey, deeply understand user motivations (use "Jobs to Be Done" interviews), and rapidly experiment to move those levers. Avoid getting stuck in the traps of overthinking, underthinking, or prematurely delegating, and instead embed an experimental, growth-driven mindset across your team. Remember, PayPal's explosive growth hinged on a few high-impact bets—yours will too.
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AI dictation that lets you talk into any text field — Cursor, Gmail, Slack, and even your terminal.
Cuckoo provides real-time AI translation for global teams, enabling seamless multilingual communication in meetings.
Numeral automates sales tax compliance for e-commerce and SaaS, handling registration, filing, and remittance in minutes.
Base Power Company has gone from theory to installing over 1,000 home batteries across Texas in just one year, raising $200M, and expanding into homebuilder and utility partnerships along the way. What makes its story fascinating isn't just the speed of execution, but its strategic positioning as the "operating system" for electricity that controls the critical layer between generation and consumption. The best vertical integrators don't try to do everything themselves on day one, they start with a focused beachhead, prove it works, then expand methodically.
2025.04.16·newsletter.angularventures.com·3 min read·TLDR Founders SaaS Security firm Rubrik's IPO has impressed with a $13B market cap, an 80% rise, and $1.1B ARR at 39% growth. Its success is driven by significant cybersecurity demand, from both financial and operational aspects, posting a 120% NRR and barely positive cash flow. Notably, Rubrik grew from 23 to 2,246 $100K+ customers since 2019, highlighting its strong market traction.
The next wave of enterprise solutions will be quietly powerful: invisible systems that intelligently interpret messy data, route actions instantly, and evolve continuously without human intervention, turning complexity from a constant headache into a hidden strength.
Early rounds (Seed, Series A) demand a compelling story, exceptional team, clear differentiation, and signs of product-market fit.
Silicon Valley's influence in Washington has surged as tech founders and VCs join the Department of Government Efficiency (DOGE).
IPOs have effectively vanished from the tech landscape, with PitchBook data showing virtually no exit activity as market instability makes going public extremely risky. Despite a brief recovery after Trump backed off some tariffs, major indices remain deeply in the red: Nasdaq is down 15% YTD and Cloud and Semiconductor indices are both approaching -20%.
Today, a junior engineer still outperforms AI coding models - but the math is getting uncomfortable. For roughly the same $250,000 annual cost, you could run Gemini 2.5 Pro continuously for a year and generate two million coding responses. The real threat isn't smarter AI - it's the industrialization of software development. Future companies won't build single brilliant AI engineers, they'll create coding factories where thousands of agents work in parallel on compartmentalized codebases designed for machine scale. This isn't about craft versus automation - it's steam engines versus John Henry. Like all previous forms of mechanization, the machines won't win because they're more talented, but because they never stop.
While headlines focused on tariffs, the real drama this week was in the bond market where yields spiked Tuesday night amid fears that foreign governments were dumping US treasuries ahead of critical bond auctions. When bond prices fall, yields rise, creating a dangerous feedback loop where potential buyers demand higher rates to compensate for risk. Trump's 90-day tariff extension calmed markets just in time, averting a potential crisis.
2025.04.14·cloudedjudgement.substack.com·3 min read·TLDR Founders Today's vertical AI startups can rack up millions in revenue without proving they've created lasting value - a dangerous reversal of the natural order where value creation leads and revenue follows. These companies become "number go up" machines, mistaking optimization for validation and scaling without knowing if they have something worth scaling. Early-stage startups should instead focus on graduating from one true/false experiment to the next: validate a thing, which unlocks an opportunity, that can turn into a business. Without this disciplined approach to proving value creation first, rapid revenue growth becomes empty calories that eventually run out.
In this video, Jack Brody, former Head of Product at Snap and current CPO at Suno, dives into designing in the age of AI and what the future of music looks like. Brody explores how AI is flipping design on its head and how it has the capacity to change music forever, making music creation more accessible than ever before, empowering newbies and professionals alike.
Otter.ai scaled by building its own AI infrastructure and offering a generous free tier, driving rapid adoption and enterprise penetration. It utilized work email authentication for data collection and created natural virality through meeting note sharing. Its horizontal-first strategy allowed broad market capture, identifying high-value verticals later, exemplifying a sustainable SaaS growth model.
AI-powered workspace that organizes notes, images, and links into a smart knowledge base.
IKI.AI is an LLM-native knowledge hub that saves and analyzes URLs, videos, and documents. It has an AI assistant for research and reporting.
Qodo Gen integrates AI agents into IDEs to enhance coding, testing, and quality workflows with deep context awareness.
AI startups are raising at 100x ARR multiples again, but this math creates a no-win scenario for founders. If your company is worth $1B at $10M ARR, investors need you to reach $400M in revenue just to triple their money, and $1.3B for a 10x return. For context, that puts you in rarefied air with Reddit and Rubrik. The real danger? Building a wildly successful $300M business that's still seen as a disappointment because it couldn't grow into the impossible valuation it raised on. Founders should ask themselves if they're truly building the next billion-dollar revenue machine before accepting terms that make anything less look like failure.
As AI makes execution easier for everyone, the real scarcity becomes uniquely human capabilities - taste, judgment, and originality. We're entering an era where your skills might be licensed as modular "plugins" for AI systems. In a world where anyone can create anything, being deeply, idiosyncratically human becomes the ultimate differentiator - your approach and decision-making frameworks become more valuable than what you produce, especially if they go beyond what generic AI can replicate.
While companies like Shopify now expect employees to use AI daily, widespread adoption faces a significant hurdle: poor user experience. Better design that clearly defines the human's role could transform AI from an intimidating black box to a natural extension of our work.
Companies are increasingly acquiring startups just for their talent, especially in tech and biotech where assembling specialized teams one-by-one is painfully slow.
Startup job markets are tightening, with reduced perks and increased competition, prompting employers to cut costs and revamp benefits.
Spacetech funding remains stable at over $6 billion annually, but investor priorities are shifting due to geopolitical dynamics and the rise of geospatial AI.
March inflation dropped to 2.4% with core CPI falling below 3% for the first time since 2021, signaling that disinflation is real and accelerating quickly. The current administration is averaging just 1.0% inflation - a welcome shift after five brutal years when necessities like food (27.5%), electricity (34.2%), and auto insurance (53.7%) saw massive price increases. The Fed should cut rates soon to prevent an economic slowdown.
Sam Corcos, founder of Levels, offers insights into time management and company evolution, challenging assumptions about burnout and team management. Over five years, his tracking reveals surprises, such as the consistent time spent on management despite scaling and the rejuvenation of engineering by eliminating excess management layers. Corcos emphasizes strategic thinking through quarterly "Think Weeks" and ongoing investor relations, adapting to personal life changes without sacrificing productivity.
Barr Moses, CEO of Monte Carlo, discusses transitioning from ARR to daily revenue as a core metric. The session covers Monte Carlo's pricing model evolution, organizational alignment, and lessons learned. It aims to guide founders on building scalable, value-aligned pricing systems.
Companies like OpenAI and Notion test almost everything they ship, moving beyond basic A/B testing to full experimentation engines. This approach rests on three pillars: trustworthy experiments that handle outliers and account for initial excitement around new features, strong institutional memory so teams don't repeat tests others have already done, and a data culture where everyone uses the same metrics and values truth over looking good. To build this in your company, avoid common mistakes like checking results too early or ignoring negative impacts on important customer segments, and focus on making it easy for teams to document and share what they learn across the organization.
In his new book "Courageous Marketing," former Gong CMO Udi Ledergor reveals how taking calculated risks helped transform a 12-customer startup into a billion-dollar company. His counterintuitive thesis: the safest strategy is often the riskiest because blending in means death in crowded markets. Gong's success came from tactical genius - like buying 15-second regional Super Bowl ads instead of $5M national spots, purchasing small West Coast newspaper ads and amplifying them on social media, and creating a memorable visual identity with bright colors and a bulldog mascot.
Overvaluations remain an issue in venture capital, particularly impacting startups during downturns, as seen with AI startups now echoing 2021's patterns. Inflated valuations lead to challenges like increased dilution and difficulties in securing follow-on funding. Founders are advised to raise only necessary funds, prioritize capital efficiency, and be open to valuation resets to ensure sustainable growth.
Scaloom is an AI tool that generates personalized cold emails based on website analysis to improve outreach conversion.
TheySaid 2.0 turns surveys, interviews, and polls into AI-driven conversations, capturing richer insights than traditional forms.
BannsAI is a tool that generates custom, copyright-free banners from a logo and brief.
All major marketing channels have become expensive, slow, or ineffective - SEO takes too long, influencer marketing doesn't convert, ads get more expensive daily, and viral loops require an already-great product. This is the inevitable outcome of the "Law of Shitty Clickthroughs" where channels decay as competition increases and consumer engagement drops. The solution isn't chasing these "Big Channels" but focusing on "Little Channels" that don't scale: organizing mini-events, targeting specific communities, or leveraging personal networks.
Most VCs think they're data-driven, but they see only the deals that come to them (mostly founders reaching out), have time to collect just a handful of data points per company, and then make gut calls based on whatever similar companies they've personally seen before. True data-driven investors use technology to dramatically expand their view - they scrape the entire web to find every possible deal, gather mountains of data on each company automatically, and analyze it all with consistent algorithms instead of morning-coffee intuition.
Mercury has announced a $300 million Series C funding round led by Sequoia Capital that values the company at $3.5 billion. It reported ten consecutive profitable quarters, $500 million in annual revenue for 2024, and 40% customer growth. The funding will support product innovation, acquisitions, and talent acquisition, further cementing its position in reimagining banking for tech startups and other industries.
There's a fine line between vision and delusion in startups - you need big goals to inspire, but when you start believing your own marketing hype, you're in trouble.
We're witnessing the birth of truly personalized storytelling through AI - not just better AI writers, but stories that will adapt specifically to you.
Manny Medina's new startup, Paid, aims to tackle AI monetization problems by developing a pricing framework based on insights from over 60 AI agent companies.
ARR is dying - not because subscription software is over, but because what counts as "ARR" has become a joke. Companies are shoving usage-based pricing, experimental AI spending with terrible retention, and traditional contracts all into one metric, then making critical decisions based on numbers that no longer mean what they used to. If you're blending revenue with 85% margins and 5% churn alongside stuff with 50% margins and 40% churn, you're fooling yourself. Break apart your revenue streams, measure each one properly, and in this uncertain landscape, focus on CAC payback - how quickly you get your money back matters more than ever when you can't predict how long customers will stick around.
Despite escalating trade tensions with China threatening "to fight to the end" over new tariffs, markets rebounded strongly today - but is this genuine recovery or just a dead cat bounce? The tariff impacts are playing out in stark contrast across sectors: hardware companies like Framework are pausing US sales after being forced to sell laptops at a loss, while software firms face more indirect challenges through rising data center costs and customers becoming more hesitant with their budgets.
Wing's Enterprise Tech 30 survey reveals VCs are highly interested in AI startups, with Browserbase leading the early stage list. The list highlights promising startups across stages, emphasizing AI infrastructure, coding tools, and generative AI applications. Notable mid-stage companies include Clay, Decagon, and Granola, while Cursor tops the late stage list.
Smart startups don't attack incumbents head-on - they commoditize their complements through three powerful strategies: nuking pricing power, reducing switching costs, or eating the complement entirely. The approach works especially well in today's Vertical AI landscape, where startups can use LLMs to weaken incumbent lock-in - but beware the pitfalls: don't commoditize complements critical to your own product's stickiness, and ensure your product is positioned to capture the value flow once complements become commodities.
Here's the thing most founders miss - those VC meetings aren't just about getting a check. Every investor you pitch has seen hundreds of startups, and that experience is yours to tap if you ask the right questions. Don't waste your entire slot running through slides. In a 30-minute meeting, talk for 8 minutes and listen for 22. Ask things like "How would you describe this to your partners?" or "What risks am I not seeing?" or "Have you seen companies like mine crash and burn?" These questions turn investors into free consultants and show you're confident enough to handle tough feedback.
Figma Slides' success was driven by prototyping, open collaboration, and a strong team culture. Encouraging direct user engagement and fostering a startup mindset helped maintain agility and innovation. Empowering every team member as a product owner and finding passionate believers were key strategies in effectively launching new products.
Code review for the AI era.
Colossal is a platform that helps developers find and integrate pre-built AI agents into LLM applications.
Lanceboard is a freelance platform that matches tasks to freelancers using an AI-powered ticketing system.