TLDR Founders 2025-10-06

Delve ran 4 ads across 2 TLDR newsletters and brought in 66 leads, with a meaningful chunk from enterprise. The result: $1M in attributed pipeline and a 52x ROI.

This case study breaks down their strategy, results, and example ads.

Read the Delve case study.

OpenAI acquired Roi, an AI-powered personal finance app. CEO Sujith Vishwajith will be the only team member joining OpenAI. This move continues OpenAI's trend of acqui-hires targeting personalization-focused technology, enhancing its consumer applications like Pulse and Sora. The acquisition supports OpenAI's strategy to develop adaptive AI products and boost revenue from consumer apps.

VCs are taking more discovery meetings, but the bar is higher than ever - they want founders with real operating experience after getting burned by younger teams who couldn't execute. AI companies are growing 2-5x faster than historical SaaS peers and command an 85% valuation premium, but investors are warning founders not to over-raise or hire ahead of milestones.

Naveen Rao's new startup, Unconventional, Inc., aims to raise $1 billion at a $5 billion valuation to develop a novel computer system with brain-like efficiency. Andreessen Horowitz, Lightspeed, Lux Capital, and Databricks are backing the venture, which plans to compete with Nvidia by designing custom AI hardware. Rao, a former AI leader at Databricks, has a successful track record with previous startups like MosaicML and Nervana Systems.

You.com shifted from consumer search to enterprise AI, offering search APIs and complex data analytics to businesses following ChatGPT's launch. Competing with Google and others in the AI market, You.com leverages its own search infrastructure to deliver detailed reports and agent-based solutions like business analytics and financial analysis. The company also introduced Auto Mode for integrating multiple LLMs. It has secured $100M in VC funding to expand its agent-centric services.

Building one annual plan forces founders to pretend everything goes perfectly - sales hit quota, marketing scales efficiently, and nobody quits. Instead, build three parallel plans with different growth targets and burn rates. Your base case uses actual historical data. Best case adds upside from partnerships or new products. Worst-case accounts for churn spikes or funding delays. The power is in pre-agreeing what triggers each scenario - if you hit X revenue in Q2, unlock Y hires. If conversion misses for two quarters, cut Z budget. Bring GTM leadership together to pressure test the assumptions before finalizing, then share one plan with the company, but review all three with the board quarterly.

Seed and Series A valuations are soaring, often starting at $100M pre-money, with investment decisions happening in mere hours. VCs are prioritizing big follow-on rounds and targeting AI applications, driving uniformity in investment strategies. The challenge is generating alpha by balancing short-term contrarianism with long-term insights in an overwhelmingly consensus-driven market.

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A UI for Claude Code.

Nexus enables Business teams to build AI agents without code.

An AI assistant for Gmail that sorts emails, highlights priorities, drafts replies, and blocks spam.

The 996 crowd posts their suffering like medals, screenshotting their commits and counting their hours - they're performing intensity to avoid asking if they even care. You can't beat someone who thinks they're playing. When you genuinely love what you're building, hours disappear, and you're not counting because you're playing. Your 0.1% equity is probably worthless, and the expected value is less than staying at Google, but the math was never the point - the joy is. Intensity without belief just leads to burnout, that weight you feel every Sunday night.

Small markets can offer a more stable path to wealth compared to large ones due to "relative scale" advantages. Being a dominant player in a small market allows a company to sustain steady earnings that aren't threatened by smaller or larger competitors. Large companies often see these markets as too costly and small to enter, making them less competitive and more lucrative for those within.

People claim English will replace programming languages entirely, but developers aren't buying it. Even if AI writes all your code, someone still has to debug it when things break, and natural language is too ambiguous for that. What if AI let you read code in whatever language you want, regardless of what it's written in? The codebase is written in Rust, but you debug in Python while your teammate reads it as TypeScript, with AI handling translation. This could kill the eternal problem of onboarding engineers who don't know your stack, though it requires AI fast enough to feel instant.

Stripe's co-founder studied the Elon Musk biography and pulled three lessons.

VCs are democratizing as individuals and smaller entities increasingly make small check investments.

Telling people your plans before executing them creates a false sense of accomplishment that makes follow-through less likely - you get the social reward without doing the work.