As vibe coding becomes a global buzzword, domestic startups are jumping in to build tools that let anyone create apps by simply describing what they want. Whether as full-fledged platforms or add-on features, these startups are betting big on a future where software is designed in plain language and built by artificial intelligence (AI).
Vibe coding allows users to tell an AI platform—in simple prompts—what they need, and the system generates the code and interface within moments. “For example, you can say, ‘Build a dashboard to track customer orders,’ and it will generate a layout connected to your data with the basic logic built in,” Jinen Dedhia, co-founder of DronaHQ, a low-code platform that is developing its own vibe coding tool, told FE.
The term recently gained traction in the US, with platforms such as Replit, Cursor, GitHub Copilot, Windsurf, and Bolt driving global adoption. In India, however, the movement is gathering its own momentum. Bengaluru and other tech hubs are hosting vibe coding hackathons, and startups like Rocket.new, TableSprint, Emergent, Composio, and DronaHQ are racing to build local versions tailored for domestic and global users.
TableSprint, a Bengaluru-based no-code app builder, launched its vibe coding platform just weeks ago. It lets users create enterprise-grade web and mobile applications through natural language inputs. “Public apps, private secure apps with AI agents, and a library of templates are available on our website. We also offer training and implementation support,” NagaSanthosh Josyula, co-founder of TableSprint, said.
The company already has 10,000 users, including 1,200 paid subscribers, and claims 2x month-on-month revenue growth. Demand is strong from sectors such as BFSI, manufacturing, e-commerce, and edtech, he added. Emergent, another platform launched in June, is going after non-technical founders and small businesses. It uses autonomous AI agents to replace human developer teams and handle everything from payments to scaling. “With Emergent, users get a launch-ready app with logins, back-end, and payments automatically set up,” Mukund Jha, co-founder and CEO, said.
The startup claims over 1 million users have built 1.5 million apps in just 90 days. It also says it hit $10 million in annual recurring revenue (ARR) within 60 days of launch and grew that to $15 million ARR a month later. At DronaHQ, which traditionally focused on internal enterprise tools, the team spotted a key gap. “Tools like Lovable and Replit could generate UIs, but they often stopped there, leaving users to figure out how to connect data or handle essentials like audit trails and SSO,” Dedhia said. DronaHQ began building its own vibe coding experience in January and has since rolled out a beta version to select enterprise accounts.
Over 30% of early adopters have already used it for internal projects such as dashboards and approval workflows. Dedhia said 70% of prompts are now generating workable layouts that need only minimal edits. The tool will be opened for wider availability by the end of this month. Globally, vibe coding tools are priced on freemium or tiered subscription models, starting around $10 a month and going up based on usage. Most offer per-user pricing, with custom plans for enterprise clients.
Investor interest is also flowing in. Rocket.new, a Surat-based startup, recently raised $15 million in seed funding. Launched earlier this year, it has already crossed 400,000 users, including 10,000 paid subscribers, underscoring the fast-growing demand. Industry watchers say this marks a significant shift in how software will be built and deployed. Debasish Chatterjee, partner at Deloitte India, noted that vibe coding is moving “from a proof-of-concept novelty to a practical tool driving real outcomes”. Startups and innovation teams in fintech and e-commerce are using it to validate ideas, test customer journeys, and iterate faster. In banking and insurance, vibe coding is helping teams build dashboards, reporting tools, and workflow apps that cut down IT delays, he said.
Chatterjee added that AI-built code also comes with challenges. “AI-generated code often lacks structure and consistency, creating technical debt and security risks. Developers remain crucial as stewards of governance and scalability,” he warned. Over time, he expects a hybrid model to emerge, where AI drafts the base, while human developers refine and secure the final product.