Latest Interviews

Replit's CEO On The Only Two Jobs Left In The Company Of The Future

Amjad Masad, Andrew Miklas

Replit recently secured $400 million in Series D funding to achieve a $9 billion valuation while executing a strategic pivot toward "AI-native developers" who build software through natural language interactions with their Agent 4 system. By abstracting traditional coding behind multimodal AI agents, the platform enables non-engineers to rapidly deploy applications and reduce development costs by up to 70%, effectively shifting the company's focus from technical setup to high-level business orchestration. This product-led growth model empowers a diverse range of users, from solo entrepreneurs to enterprise teams, to accelerate idea velocity and build internal tools without requiring deep programming expertise or large engineering budgets.

How To Build A Company With AI From The Ground Up

Diana Hu

This presentation argues that AI must function as a company's central operating system rather than a peripheral tool, driving a shift toward closed-loop systems that render the entire organization queryable for automated decision-making. In this model, traditional middle-management hierarchies are eliminated and replaced by AI agents that execute engineering tasks and manage workflows, allowing human leaders to focus on strategy as founders, builders, or directly responsible individuals. By leveraging these "AI software factories," startups gain a decisive advantage over incumbents to achieve tenfold velocity increases and operate with human headcount replaced by optimized token usage.

How Stripe Built Their New Website

Aaron Epstein, Katie Dill

Over a year in the making, Stripe's comprehensive homepage redesign repositioned the company as a global financial infrastructure leader by replacing visual fatigue with a dynamic bento-grid layout and a manifesto-style narrative. The project leveraged AI tools to accelerate asset creation while maintaining rigorous human oversight to ensure the "billionth" transaction scale and live economic metrics conveyed trust to diverse user segments. By prioritizing progressive disclosure and intentional motion over traditional scrolling, the team successfully clarified value propositions ranging from micro-entrepreneurs to the 78% of Forbes AI 50 companies that now rely on the platform.

BillionToOne Is Solving One of Biotech’s Hardest Problems

Jared Friedman, David Tsao, Oguzhan Atay

Billion to One, founded by PhD students Oguzhan and David, leverages proprietary synthetic DNA methods to detect rare cell-free DNA variations for prenatal screening and cancer liquid biopsies. Since its public listing with a valuation over $4 billion, the company has scaled its automated facility to process 600,000 tests annually and launched North Star Select for late-stage cancer treatment guidance. The firm now executes a strategic roadmap to address early-stage cancers through a capital-efficient progression from commercial adoption to population-wide screening, aiming to significantly reduce cancer mortality rates.

This Startup Catches Fraud at Scale

Jared Friedman, Karine Mellata

Variance has officially exited stealth mode following a $21 million Series A round to commercialize AI agents that automate trust and safety infrastructure for Fortune 500 clients like GoFundMe and IAC. Founded by ex-Apple engineers Karine and Michael, the 12-person team leverages a unique "agentic" architecture to solve complex unstructured data problems in fraud detection and compliance without manual rule updates. Despite a 2024 leadership injury that threatened operations, the company is scaling its full-stack decisioning platform to replace traditional human review workflows with adaptive, self-healing systems designed to trace sophisticated abuse graphs.

" It is very possible that the first people to live to a thousand are alive right now."

Max Hodak

Technological accelerations in artificial intelligence and brain-computer interfaces are driving a paradigm shift where the first individuals capable of living to 1,000 years may already exist. By 2035, widespread AI accessibility and new lateral treatments will reframe the human condition despite market undervaluation and low public awareness. These advancements will fundamentally reconfigure human interaction by creating functional equivalents to direct brain-to-brain communication.

Differences Between The Leading AI Models

Madhav Jha

Current AI models operate as specialized tools where Opus functions as a general workhorse, Codex excels in back-end debugging, and Gemini leads in front-end applications. Within three to six months, the market is expected to shift toward commoditization driven by converging model behaviors and narrowing gaps between open-source and proprietary options. Strategic success will therefore depend on building a user-centric layer that leverages these unique capabilities to optimize the customer journey rather than relying on raw model differentiation.

This Is The Holy Grail Of AI

Ian Fischer

Poetic is advancing a recursively self-improving AI system that autonomously enhances its own intelligence at a fraction of the cost and time required by major competitors like Anthropic, OpenAI, and Google. Unlike industry standards that demand hundreds of millions of dollars and months of effort to train new Large Language Models from scratch, Poetic's proprietary method accelerates these cycles significantly. This speed and efficiency advantage allows Poetic to potentially outpace rivals who remain constrained by the prohibitive expenses and long timelines of traditional retraining approaches.

AI Is Unlocking Millions Of New Builders

Mukund, Madhav Jha

Led by twins Mukund and Madhav Jar, Emergent is a YC Summer 2024-funded platform that empowers non-technical users to generate production-ready software through AI agents, having already built seven million apps across 190 countries. The company differentiates itself by utilizing a custom Kubernetes infrastructure and multi-agent architecture to solve the "it works on my machine" problem, while its core team achieved top-tier status on the SWE-bench benchmark within two months. By pivoting from automated testing to full-stack application development, Emergent has democratized software creation, allowing solopreneurs to launch functional products for thousands of dollars instead of the traditional half-million-dollar cost.

The Future Of Brain-Computer Interfaces

Max Hodak, Garry

Science co-founder Max Hodak outlines a biotechnology roadmap centered on the Prima retinal implant, which has already restored form vision to over 40 patients with macular degeneration, and predicts an imminent "takeoff era" that could enable the first 1,000-year lifespans. Beyond vision restoration, his company is developing bio-hybrid neural interfaces that integrate stem-cell-derived neurons into the brain and portable "Vessel" perfusion systems to revolutionize organ preservation and treat severe disabilities like glaucoma. These initiatives aim to shift healthcare from slow drug discovery to precise neural engineering, potentially achieving high-bandwidth human-AI integration within the next two decades.

The Powerful Alternative To Fine-Tuning

Ian Fischer, Mark Mandelbaum, Francesc Campoy Flores, Mark Mandelmann, Jr.

Poetic, led by co-CEO Ian Fisher, deploys a recursive Meta-System that autonomously optimizes foundation models to outperform them on benchmarks like Arc AGI v2 and the Humanity's Last Exam at a fraction of the cost. This stealth-stage platform functions as a cost-effective "stilts" for startups, achieving 9 percentage point gains over competing models while utilizing a lean team of seven scientists rather than massive training budgets. The company now invites early access from ventures seeking to integrate these self-improving reasoning strategies into their specific verticals.

What Boris Cherny Learned From Building Claude Code

Boris Cherny

Quad Code's founder executed a grueling three-month sprint to launch a terminal-based product, accepting current code-generation limitations as an inevitable starting point rather than a final state. This strategy mirrors Anthropic's philosophy of building software for capabilities expected six months into the future, encouraging founders to target where models currently fail rather than optimizing for today's constraints. By prioritizing this forward-looking approach, both entities anticipate that natural model progression will resolve existing gaps without requiring premature adaptation to immature technology.

Why OpenClaw Broke The Internet

OpenClaw distinguishes itself as a local AI agent that executes autonomously on user hardware with full permissions to interface directly with IoT devices and control physical environments. By leveraging comprehensive access to a user's entire local dataset, the system successfully reconstructed detailed historical narratives from forgotten files to deliver deep, unexpected insights. Unlike cloud-based competitors, this platform grants users granular control over their digital footprint while enabling direct interaction with tangible assets such as vehicles, appliances, and smart beds.

OpenClaw Creator: Why 80% Of Apps Will Disappear

Raphael Schaad, Peter Steinberger

Launched in 2025, the open-source OpenClaw project has rapidly accumulated over 160,000 GitHub stars by introducing a local-executing personal AI agent capable of autonomously controlling hardware and synthesizing private data. Creator of the "swarm intelligence" philosophy, the project distinguishes itself through a unique security architecture that isolates user memory in local markdown files and employs a proprietary `soul.md` file to maintain core personality traits against external manipulation. As the technology evolves toward multi-agent negotiations and the obsolescence of traditional applications, OpenClaw positions itself as a value-retention model where specialized bots manage distinct domains while the primary asset remains the user's locally stored data memory.

We're All Addicted To Claude Code

Calvin French-Owen

Industry analysis indicates a decisive shift toward Command Line Interfaces as the primary interaction layer for coding agents, with Anthropic's Cloud Code utilizing subagent models and OpenAI's Codex employing periodic compaction to manage context windows. Senior engineers are increasingly adopting a managerial role to direct autonomous workflows, while top-tier practitioners distinguish themselves by enforcing rigorous testing protocols and minimizing codebase noise to prevent model degradation. This evolution fosters a tension between rapid, bottom-up grassroots adoption driven by speed and enterprise-mandated top-down security controls, fundamentally reshaping software development structures toward smaller teams operating under vast agent armories.