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YC wants founders to build "Full-stack AI Companies." These aren't startups selling AI tools to law firms - they're actual law firms using AI instead of lawyers. The math is simple. You could sell AI to existing accounting firms, or just start your own AI-powered accounting firm. Growth is slower than pure software, but margins are way better than traditional services. An accounting firm typically gets low exit multiples, but what about one using AI? The lines between VC and PE are starting to blur. Venture has always chased new tech, but now we're seeing money flow toward upgrading existing industries with AI.
How did Fifth Avenue transform from exclusively horse-drawn carriages to automobiles in just 13 years? This pattern repeats throughout history: new technology displaces incumbents faster than expected and creates more value than imagined. Billion-dollar exits have become merely 85th percentile outcomes for VCs. The mega venture funds that seem excessive today are actually positioning for an unprecedented reality – technology will systematically conquer every major industry, creating tens of trillions in new value over the next decade
The VC industry faces "maximum change" as AI transforms coding from craft to automated service. The traditional model of funding large engineering teams is dying. As software creation becomes frictionless, valuable startups will tackle what remains difficult – selling to complex industries or building supplier networks others can't replicate.
Perplexity's quest to replace Google is working through brilliantly designed growth loops. Its AskPerplexity feature lets users tag the company in social posts across Twitter, Discord, WhatsApp, and Telegram, creating viral visibility with every interaction. Instead of forcing signups like competitors, it lets users experience value before creating accounts. Its collaborative features, like Spaces and watchlists, make search accessible anywhere conversations happen.
Even celebrated "no sales" darlings like Atlassian quietly employ hundreds of sales professionals to land complex enterprise deals. The AI boom has supercharged the product-led growth (PLG) narrative to dangerous extremes. Despite stories of companies hitting $50M ARR with "zero salespeople," successful PLG companies still employ significant sales teams. Relying solely on self-service creates serious limitations.
Klaviyo reached $1B ARR with 35% annual growth by focusing on unique marketing automation solutions for e-commerce. Supported by customer advocacy and strong Shopify integration, its strategic growth includes global expansion, targeting enterprise clients, and broadening beyond commerce. Klaviyo's successful IPO reflects its sustainable growth and market leadership in the Shopify ecosystem with over 50% market penetration.
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As a startup, you don't want to manage laptops or deal with the complexity of VDI. But BYOD can create compliance challenges. Venn [14] solves them by creating a Secure Enclave on your remote workers' personal device - isolating and protecting company apps and data from any personal use. No file transfers, copy/paste, or screenshots inside
Propolis simulates real users via swarms of autonomous browser agents.
Effie is a writing companion with AI-powered templates and 1,000+ prompts. It is designed to spark creativity and keep your ideas synced across devices.
Solver is an autonomous coding agent that completes software tasks directly in your git repositories, from bug fixes to new features.
AI coding assistants operate on variable-ratio reinforcement – that unpredictable "sometimes it works brilliantly" pattern that triggers dopamine like gambling. One developer spent over $1,000 "vibe coding" and discovered a perverse economic incentive: AI companies charge by token count, so verbose code generates more revenue.
Good design feels obvious to use. ChatGPT exploded in popularity because its messaging interface tapped into patterns we've known since childhood – we send 25 billion texts daily! However, intuitive doesn't mean optimal. In this post, Julie Zhuo (ex-Facebook VP) identifies five critical flaws in today's conversational UIs and suggests a billion-dollar opportunity in personalizing how information is presented to match your unique learning style, not just what content you see.
Seed stage VCs are shifting from a "buy and hold" strategy to considering secondary sales due to prolonged timelines to exit, alignment gaps, and changing market dynamics. This shift enables better capital recycling and supports portfolios by addressing liquidity needs. Secondary sales are becoming a primary method for returning capital to LPs as the venture landscape evolves.
AI tools are now generating billions of code lines daily – but is this actually revolutionary?
When we claim to give "feedback," are we actually just sharing our biased opinions?
27 Series A deals raised $542M globally last week, averaging $20M per deal with beauty, fintech, and AI startups securing the largest rounds.
2025 has seen a surge in mid-sized tech acquisitions like ServiceNow buying Moveworks ($2.9B) and Coreweave acquiring Weights & Biases ($1.7B). Most deals fall in the $1B-$5B range—a critical insight for startups raising capital.
Big AI companies are practically giving away their best models, and smart founders are cashing in. The pattern is spreading to design, video editing, and beyond. There's tension here: model providers want you to use more AI, while wrapper companies try to minimize those costs. For now, both sides win. The smart play isn't building your own AI but moving fast, capturing your market, and collecting data that becomes valuable later.
This ranking reveals which fintech revenue models investors value most: SaaS and payments at the top, followed by AUM fees, trading, debit interchange, float, insurance, and lending at the bottom. Companies like Stripe earn 20x multiples by stacking multiple types.
Startups built today can design around AI from scratch, but what about existing companies with 50+ employees? This case study from Swan shows what's possible - building a $30M ARR business with just three co-founders by setting a radical constraint: $10M ARR per employee. The company's "agentic swarm" of AI tools handles everything from content creation to lead qualification, allowing one person to run its entire GTM motion.
Sales tactics that worked yesterday are dead today—call connect rates have dropped from 15% to 1%, and buyers research products without reps. You can't grow by spamming people anymore, even with fancy AI tools.
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Ex-CEO shares doc templates from growing Keeper Tax to 8-figure ARR.
Supercut lets you quickly record your screen, share it instantly, and present like a pro with AI-powered enhancements.
Jotform Boards auto-generates tasks from form responses and AI agent conversations, streamlining task management and team collaboration.
There has been a wave of growth-stage companies quietly acquiring small technical teams. It's a smart way to lock in top-tier talent, and for founders without PMF, often the cleanest soft landing.
Executive presence often gets overlooked as founders focus on product-market fit and operations. As your company grows, influencing senior stakeholders becomes crucial. To build this skill, focus on clarifying your message rather than showcasing expertise. Connect your work to broader company goals. Give executives the context they need without overwhelming details. Approach problems with potential solutions in hand. This skill develops through practice and ultimately determines how much support your initiatives receive.
"There's an AI for that" will soon be how we talk about software across every industry. This pattern will repeat in healthcare, education, and law. Winners will create exceptional experiences that solve specific problems, not just deploy marginally better algorithms. Vertical AI apps succeed by fitting perfectly into workflows people already have, making tasks faster and easier. In the end, users don't care which AI scores better on technical benchmarks, they care which one actually makes their work better.
Civo's shift to a four-day workweek hasn't changed productivity, but it is attracting and retaining talent.
Market corrections open opportunities for resilient startups, with VC funds holding $308 billion in dry powder.
The Alice decision complicated patent eligibility for software and AI by deeming abstract ideas ineligible without clear definitions.
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AI is transforming business – but securing it? That's a whole new challenge.
Food hall startup Wonder raised $600 million in new funding, pushing its valuation above $7 billion just months after acquiring Grubhub. CEO Marc Lore plans to double its current 46 locations by year-end, expanding its model of serving 30 restaurants from a single kitchen with under 30-minute delivery times.
Figma launched four new products that let designers complete entire projects without jumping to other apps. These tools—Sites for website building, Make for AI coding, Buzz for marketing assets, and Draw for vector illustration—directly challenge Adobe, WordPress, and Canva while making Figma an all-in-one platform.
YC has released its newest "ideas we'd like to see founders tackle" list, focusing heavily on AI applications from full-stack AI companies to voice assistants. Its top requests include AI personal tutors, robotics software tools, healthcare administration automation, and companies that turn designers into founders.
Pylon's sales engine defies SaaS norms—its AEs close up to 30 deals monthly without any outbound prospecting, driving $2M ARR per rep annually. Its streamlined approach automates everything: inbound leads book demos that instantly populate its CRM, conversations move to Slack instead of email, and trials start right after demos. This 1-6 week sales cycle delivers 95% gross retention and 140% net retention.
As AI evens the playing field, your "taste" matters more than ever. Stripe, Linear, and Square don't just preach quality—they build systems to scale it: review checkpoints at 20% and 80% completion, dedicated "red pen holders" for quality control, and creating "remarkable products" not just viable ones. Their playbooks work because they've turned subjective taste into objective processes that extend their vision to every customer touchpoint without slowing down execution.
Most founders are in a dangerous middle zone: more than 12 months of cash but not enough to hit metrics needed for their next round. Smart founders track monthly burn religiously, understand which expenses actually drive growth, and plan for 12 months beyond their fundraising target. The market has changed—raising on story alone doesn't work anymore when investors expect 3-4 years to reach your previous valuation milestone.
Lamatic 2.0 is a serverless PaaS with an Agent IDE, vector store integration, and seamless app connections for building and deploying AI agents.
Krea Video Training lets you fine-tune Krea's AI video model using your images and videos to create custom styles, motions, and objects.
Inferless enables stress-free deployment of machine learning models on serverless GPUs, with ultra-low cold starts and scalable pricing.
Churn kills your business in ways most founders never calculate. Sometimes as founders we assume there's always a new topline to chase, but preventing churn might actually be your biggest revenue opportunity hiding in plain sight. When a $150K customer churns in year one, you're not losing just that revenue—you're watching nearly $1M in lifetime profits evaporate. Factor in the "silent snowball" of unhappy ex-customers steering deals to competitors, and that single lost account potentially costs you $3.3M in total value.
We now live in three different worlds—digital experiences remove all effort, physical infrastructure falls apart from neglect, and wealthy people create bubble neighborhoods where friction becomes aesthetic. AI writes your essays while airport systems fail 700 times weekly. The rich get smooth experiences while everyone else deals with broken systems. This shift moves effort around rather than eliminating it, dumping the hardest work on those with least power to refuse it. Maybe we should see friction not as an enemy but as a signal showing exactly what needs fixing in our economy.
Private market valuations follow public market trends but with a delay and reduced impact. Nasdaq returns influence Series A valuations, with changes manifesting six months later and explaining only 7.5% of the variance. Interest rates have a stronger correlation, significantly affecting venture activity as they drop.