TLDR Founders 2026-04-15

AI workloads don't simply need scale, they need ultra-low latency at high throughput. Crusoe's distributed memory architecture behaves like it's local, even at peak demand. The result?

👉 9.9x faster time-to-first-token and 5x better throughput than vLLM.

✅ Build, train, and serve AI all in one place

✅ Use the model(s) of your choice

✅ Spend less time dealing with infra and more time building products

Explore Crusoe Managed Inference

Flatiron spent a month visiting AI-native startups in SF, and the org charts look nothing like a normal company. One PM covers five companies. Engineers talk to customers and own product decisions. Claude Code has replaced Cursor in most shops. Non-engineers shipped production tools, an account manager built a Slack agent to automate uploads, and accounting teams wrote database queries through MCP. Everyone's iterating 3-5x faster, which sounds great until you realize the real danger is saying yes to every feature request just because you finally can.

AI startups face pricing wars due to market saturation, leading to destructive underpricing. Enterprises have significant AI budgets and often use multiple tools, prioritizing value over cost. Successful companies focus on premium perception, creative pricing models, and strong customer integration to avoid competing solely on price.

Stock comp looks the same on a GAAP line no matter what your share price does. The dilution doesn't. When Amplitude traded at $83, a $250K package cost 301K shares. At $5.90, that same package costs 4.2M shares. Same expense, 14x the dilution. That math gets ugly fast as software multiples keep compressing.

Most B2B companies have two funnel layers. Generate leads, close them. Then they hit $1-3M and wonder why nothing's moving. ColdIQ built two layers in between and bootstrapped to $7M ARR. One is capture, mini-tools made with Claude Code that grab emails, de-anonymization that identifies anonymous visitors, and video sales letters that do the selling before the call. The other is management, a 10K subscriber newsletter, behavior-triggered email sequences, and 150+ LinkedIn posts a month across 24 team accounts. Prospects who see your content 3+ times before getting a cold email convert at 2-3x the rate.

Corgi grew fast by fixing the root problem in insurance: slow underwriting and complex workflows. Instead of acting as a broker, it became the insurer and used AI to compress processes from weeks to minutes. Growth came from strong product-market fit and a unique strategy of building community (café, events, and media) instead of relying on traditional marketing.

Building a small, focused team requires discipline at every layer. You need to have relentless standards in hiring and constantly work to maintain alignment. The team needs to be genuinely obsessed with customers and have zero tolerance for mediocrity in craft. When done correctly, the team becomes a force that builds products that feel different.

Branding is a strategic system, not just design, built on positioning, messaging, visual identity, and scalable assets. Strong brands reduce sales friction, enable premium pricing, and compound over time. Most companies fail by starting with visuals instead of defining clear positioning and messaging first.

Most startups wait too long to build a professional GTM stack. Salesforce Launchpad gives you the AI-powered tools, guidance, and network you need to hone in on your product. It's free to join and provides events, free & discounted Salesforce solutions, expert AI & GTM guidance, and new distribution channels & partnership opportunities. Apply to Launchpad

Provide persistent memory for AI coding agents by loading relevant past project context into new sessions.

Orca is the next-gen IDE for building with coding agents.

Automate regulatory compliance mapping for physical products across global markets.

The next wave of neobanks probably won't look like banks at all. Every past winner found the spot where incumbents overcharged, SoFi on income-based underwriting, and Nubank on no-fee cards in Brazil. Now, stablecoins have made the deposit layer so cheap that accounts alone don't get you anywhere. What matters is owning the income relationship. YouTube has paid creators $100B+ since 2021 and just turned on stablecoin payouts.

Software that only sells code will not survive the AI wave. There's no moat when anyone can use AI to recreate the software. Only companies with a two-sided market, a proprietary dataset, a hardware component, or a messy real-world integration layer have a real moat. The software industry is about to be re-sorted, and a lot of companies that look like category leaders won't make it.

Most apps revolve around one or two nouns, like 'Channel' and 'Message' in Slack and 'Project' and 'Issue' in Linear. These are nucleus nouns, and every other noun is a 'satellite'. Thinking about apps in terms of their nucleus nouns allows developers to cut to the core of what an app is supposed to do. Customers feel it when a company loses sight of its nucleus nouns. Companies with a firm understanding of their nucleus nouns can use them as a weapon by making them part of their brand.

Everyone says they're "taste-led" now, but ask them to define it, and you get nothing.

Totalis just became the first company to receive YC's $500K entirely in USDC, settled on Solana in three transactions, including a $1 test.

Talking takes time, and consensus is expensive and slow, so it is the first thing to break down when moving fast becomes the biggest priority.

Pre-seed investing faces challenges as AI lowers startup barriers, flooding the space with new ventures.