What was the key insight or pivot that led to Emergent's success?

Emergent's key insight was that if you can solve for verification and testing, you can automate all of software engineering. This led them to pivot from automating software testing to building general coding agents and eventually a platform for non-technical users.

How did Emergent differentiate itself from competitors like Lovable and Bolt?

Emergent focused on building production-ready software, not just prototypes. They reimagined the entire platform to replicate what best engineering teams do, including code reviews, automated testing, deployment, and security, allowing users to ship products immediately.

What is Emergent's approach to infrastructure and agent development?

Emergent built its own infrastructure, including a Kubernetes tech stack, ensuring consistency between build and deploy environments. They co-built their infra and agents from day one, enabling rapid feedback loops and robust agent performance.

How does Emergent's platform handle complex applications and long development cycles?

Emergent uses a multi-agent architecture and builds in long-term memory for agents, allowing them to learn across sessions and improve performance over time. This approach helps manage context effectively and overcome limitations faced by other platforms.

What are the implications of Emergent's success for traditional SaaS companies?

Emergent suggests that traditional SaaS models may need to evolve. Workflows are increasingly being consumed by agents, and the demand for highly customized software that can be built on platforms like Emergent poses a significant challenge to existing SaaS providers.

What surprised Emergent founders about what users build with their platform?

They were surprised by the niche applications users create, such as an app marrying clinical psychology with equestrian sports coaching. This highlights the platform's ability to unlock creativity for individuals with specific domain expertise but no coding background.

How does Emergent empower individuals to start businesses without venture funding?

Emergent enables individuals with business ideas to build custom software without needing significant capital or technical co-founders. This democratizes entrepreneurship, allowing people to focus on their passions and gain autonomy over their professional lives.

Key Moments

India’s Fastest Growing AI Startup

Y Combinator

Science & Technology3 min read40 min video

Mar 16, 2026|23,226 views|424|39

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Key Moments

TL;DR

Emergent empowers non-technical users to build production-ready software with AI, experiencing rapid growth.

Key Insights

Emergent allows anyone, regardless of technical skill, to build and ship production-ready software using AI.

The platform pivoted from an enterprise focus to empowering non-technical users, attracting 80% of this demographic.

Emergent's architecture prioritizes end-to-end software development, including deployment and hosting, not just prototyping.

The company leverages multi-agent systems, memory, and continuous learning to enhance agent capabilities.

Emergent is enabling a new wave of 'personal software' and 'niche-of-niches' applications, democratizing entrepreneurship.

The success of Emergent highlights a shift from traditional SaaS towards customized, agentic, and user-defined software solutions.

FROM CODING AGENTS TO A PRODUCTIVITY PLATFORM

Emergent began with a focus on building advanced AI coding agents, aiming to solve fundamental challenges in software development like testing and verification. Their initial research led to breakthroughs in multi-agent systems, memory, and inter-agent communication. This foundational work, which saw them achieve world number one on the Sweet Bench benchmark, set the stage for a pivot towards a broader product vision.

EMPOWERING NON-TECHNICAL CREATORS

Recognizing the limitations of an enterprise-only approach, Emergent shifted its focus to empowering non-technical users. This strategic pivot proved highly successful, with 80% of their user base now comprised of individuals with no prior programming knowledge. The platform enables these users to build and deploy full-stack applications, bringing entrepreneurial ideas to life and automating business processes.

ENGINEERING FOR PRODUCTION-READY SOFTWARE

A key differentiator for Emergent is its commitment to building production-ready applications, not just prototypes. This involves replicating the entire software development lifecycle, including code reviews, automated testing, debugging, deployment, security, and hosting. By building their own infrastructure and using a co-developed agent-infra approach, they ensure seamless transitions from development to deployment.

ADVANCED AI ARCHITECTURE AND CONTINUAL LEARNING

Emergent utilizes a sophisticated multi-agent architecture, delegating tasks to specialized sub-agents for efficiency. They have also developed a unique long-term memory system that aggregates trajectories across sessions, enabling agents to learn and improve over time, a form of continual learning. This allows agents to remember past successes and failures, leading to more robust and capable applications.

THE RISE OF PERSONAL AND NICHE SOFTWARE

The platform is fostering a new era of 'personal software' and 'niche-of-niches' applications. Users are building highly tailored solutions for specific business needs, from CRMs for lawyers to apps that merge clinical psychology with equestrian sports. This democratizes entrepreneurship, allowing individuals with domain expertise but limited technical skills to bypass traditional development hurdles and bring their unique ideas to market, often at a fraction of the cost.

RESHAPING THE SAAS LANDSCAPE

Emergent's success challenges the traditional SaaS model. As more workflows become agent-driven and users demand customized solutions, existing SaaS companies must adapt. The future, as envisioned by Emergent, involves agentic applications, deeply personalized software, and a significant increase in the autonomy and capability of AI agents, enabling more complex tasks and collaborative agent swarms for longer horizons.

GLOBAL AMBITION AND TALENT FROM INDIA

Founded by twin brothers with deep technical backgrounds and experience scaling tech companies in India, Emergent exemplifies a global tech-first company originating from India. The founders emphasize the importance of global ambition from day zero, leveraging India's talent pool to build products for a worldwide audience. Their operational setup, with a strong presence in Bangalore and a small team in San Francisco, highlights this international approach.

EMPOWERING INDIVIDUAL AGENCY AND CREATIVITY

Beyond just replacing jobs, Emergent focuses on empowering individuals with agency and autonomy. The platform enables people with ideas and domain expertise to start their own businesses and control their professional lives. This fosters a 'Cambrian explosion' of ideas, reducing the gap between conception and reality and allowing human creativity to flourish in ways previously unimaginable due to technological barriers.

Mentioned in This Episode

●Software & Apps

●Companies

●Organizations

●Concepts

●People Referenced

Common Questions

Emergent is a platform that allows anyone to build and ship production-ready software using AI agents. It abstracts away the complexities of coding, enabling even non-technical users to create functional applications for their businesses.

Topics

Entrepreneurship Ai Agents Saas Disruption AI & Machine Learning Technology & Innovation Business & Entrepreneurship Startup Growth Low-code Development No-code Development Software Development Automation

Mentioned in this video

Companies

Google

Tech company where Makund Jar dropped out of his PhD program to join. It's also mentioned in the context of India's talent pool.

IBM

A company mentioned in historical context, where people built careers for decades after World War II.

Instagram

Social media platform used by Emergent for influencer marketing to rapidly scale distribution and build brand awareness.

Danzo

A hyperlocal quick commerce company in India founded by Makund Jar, which was a significant company and almost became a verb in India.

Emergent

A platform that allows anyone to build and ship production-ready software using AI agents. It has experienced rapid growth, with 7 million apps built in 8 months.

TikTok

Social media platform used by Emergent to build an influencer network and spread the word about their platform during its early growth phase.

Y Combinator

Seeding accelerator that Emergent went through. They are credited with helping fuel Emergent's rapid growth and providing a platform for application.

Amazon

Tech company where Madav Jar started the deep learning team before co-founding Emergent.

Software & Apps

OpenAI API

API used for accessing large language models. Emergent allows users to use their own LLM key or an Emergent LLM key for simplicity.

Jira

Project management and issue tracking software. Emergent's QA engineer's first prompt was to clone Jira.

React

Frontend JavaScript library used for Emergent's frontend server, allowing for robust user interfaces.

Lovable

A competitor in the AI coding agent space that was growing rapidly. Emergent's early pivot was partly in response to the growth of such platforms.

Codex

An AI model developed by OpenAI, noted for its proficiency in backend debugging. Emergent can utilize Codex for specific tasks.

Devon

A coding agent that was just getting started around the time Emergent was developing its own agents. It is mentioned as part of the early AI landscape.

Opus

A new class of AI model enabling extremely long horizon tasks and coordination between multiple agents.

Equine

An app built by Christy on Emergent that merges clinical psychology insights with equestrian sports coaching, serving hundreds of users.

GPT-4

An AI model mentioned as the first that Emergent started looking at. A key problem at the time was parsing structured output like JSON.

Python

Programming language utilized for Emergent's backend server, chosen for its flexibility in supporting background jobs and asynchronous processing.

Kubernetes

Open-source container orchestration system. Emergent built its own container tech stack based on Kubernetes for its infrastructure.

Asana

Project management software that Emergent's QA engineer cloned to create an internal tool. The team found Asana difficult to customize and expensive.

Gemini

An AI model developed by Google, known for its capabilities in frontend development. Emergent can leverage Gemini for frontend tasks.

Claude

An AI model developed by Anthropic, known for its capabilities in handling long tasks and coordinating agents. Emergent leverages different models like Claude.

People

Makund Jar

Co-founder of Emergent, twin brother of Madav Jar. He previously ran Danzo, a quick commerce company in India, and worked at Google.

Madav Jar

Co-founder of Emergent, twin brother of Makund Jar. He worked at Zenz and led the deep learning team at Amazon before co-founding Emergent.

Studies & Research

Sweetbench

A benchmark used to measure the performance of coding agents. Emergent aimed to become number one on this benchmark.

Concepts

Open-source

Refers to publicly available software models that are several months behind proprietary models, indicating a potential commoditization of AI models.

Verமைப்பு

The core insight that solving the verification problem (testing) allows for the automation of all software engineering, shifting Emergent's focus to general coding agents.

Products

Bolt

Another AI coding agent platform mentioned as a competitor. Emergent noted Bolt's rapid growth when considering their pivot strategy.