Agents For Non-Technical Users
Emergent, a YC Summer 2024 company founded by twin brothers Mukund and Madhav Jha, has seen 7 million apps built on its platform in just 8 months—making it one of the fastest-growing companies in YC history. The founders started by building state-of-the-art coding agents for engineers but made a counterintuitive pivot: they packaged their sophisticated technology for non-technical users, betting that domain experts blocked by the «technology barrier» represent a vastly larger market. Yet as foundation models grow more powerful and model companies themselves move into applications, a central tension looms: can a platform layer survive when the models underneath keep getting better, and the giants above start building their own no-code tools?
Pontos-chave
Emergent built world-leading coding agents for engineers first, then deliberately simplified the interface for non-technical users—inverting the typical no-code trajectory and giving them a durable technical moat.
80% of Emergent's users have zero programming knowledge; they're building apps that run real businesses, from CRMs for Norwegian lawyers to equestrian psychology coaching platforms.
The platform replicates a full engineering team: automated testing, CI/CD, deployment, security, and hosting—solving the «last 20%» problem that turns prototypes into production software.
Emergent's agent architecture includes multi-agent orchestration, long-term memory that learns across sessions, and custom verification layers—extracting 20–30% more performance from foundation models.
The founders believe verification is the key loop that enables long-horizon tasks, and they're experimenting with agent swarms that can work for 24+ hours on a single project.
Em resumo
Emergent is unlocking a Cambrian explosion of personalized software by giving non-technical domain experts—psychologists, lawyers, small business owners—the power to build production-ready apps without writing code, proving that the future isn't about AI replacing jobs but about democratizing entrepreneurship at the intersection of niche expertise and infinite software.
From Research Breakthrough to Product Pivot
Emergent started as a coding agent for engineers, then pivoted to non-technical users.
The Jha brothers—twin PhDs who started coding at age 12—initially set out to automate software testing after Mukund observed it was the biggest bottleneck in his 300-engineer team at Dunzo, a major Indian quick-commerce startup. They applied to YC with that idea in late 2023, but quickly realized that solving verification unlocked full software automation. Within two months of locking themselves in a room, they built coding agents that became world number one on SweetBench, the leading benchmark at the time.
They spent the next few months trying to sell to enterprises, but found the sales cycle too slow. Internally, the team had started using their own platform to build tools, and they noticed the explosion of Lovable and Bolt in the no-code space. The founders made a calculated bet: package their sophisticated agent technology—already more powerful than competitors—for non-technical users. They launched a small beta in June 2024, and growth took off immediately. Today, 80% of users have zero programming background, spread across 190 countries.
The pivot wasn't just about market size. The founders believed that being a «second mover» in the no-code space gave them an advantage: they could learn from competitors' mistakes, start with a more powerful foundation (newer models, better architecture), and target the unmet need for production-ready software rather than just front-end prototypes. Their key insight was that non-technical users didn't want prototypes—they wanted to ship real businesses.
The Engineering Moat: Why Last-Mile Matters
«I know exactly what to build—others focus on the business»
Domain experts value direct expression over hiring developers who lose nuance in translation.
“The Norwegian person I was talking about said that hey in my team I'm the only builder I don't even bring in anybody else because I know exactly what to build and like others focus on the business aspects of it. So this like single solopreneur sort of attitude of like I'm going to do it myself. I have the domain expertise nothing is lost in translation.”
Who's Building 7 Million Apps?
Small business owners, solopreneurs, and niche domain experts—not developers.
The Debate: Is SaaS Dead?
Two headwinds threaten traditional SaaS: agent-first workflows and demand for customization.
The Debate: Is SaaS Dead?
Emergent's founders argue that SaaS companies face existential pressure from two directions. First, more workflows will be consumed directly by agents rather than human-mediated UIs—requiring SaaS vendors to pivot to agent-first architectures. Second, platforms like Emergent let users build hyper-customized alternatives to off-the-shelf SaaS (Emergent itself killed its Asana subscription by building an internal clone). The nature of software is morphing: 20% of apps on Emergent are already «agentic,» embedding AI agents inside user-facing apps to automate workflows.
Key Metrics and Milestones
Emergent's growth and operational scale in eight months since launch.
What Happens When Models Get Better?
Founders bet on customer empathy, last-mile infra, and the expanding ambition of users.
The existential question for every AI application layer: will foundation models eat your lunch? The Jha brothers acknowledge the concern but argue that coding is only 20% of the job. Taking an app to production—testing, deployment, security, hosting, user management, growth—requires platform infrastructure and deep customer understanding. They also claim their harness extracts 20–30% more performance from models through techniques like multi-agent orchestration and custom verification layers.
Moreover, they observe a Jevons paradox at play: as tools become more powerful, human ambition expands in lockstep. Users who once wanted a simple CRM now want analytics, background jobs, and integrations. Software engineering job postings are rising, not falling, because the velocity of shipping has accelerated. The founders are already expanding beyond coding into distribution, growth, and user management—areas foundation models alone won't solve. Their bet is that the platform that understands users best and delivers end-to-end value will win, even as the models underneath commoditize.
Pessoas
Glossário
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