Rocket 1.0 Solves What Vibe Coding Left Out: What to Build and What Comes After Launch
Rocket, the AI-powered website and app building
platform used by over 1.5 million people across 180 countries, launched Rocket
1.0 – the world’s first Vibe Solutioning platform. The launch addresses two
problems vibe coding has not solved: knowing what is worth building before a
team commits to it and knowing how the market is moving after they ship it.
Much of the current conversation around AI led product
development or “vibe coding” is restricted to code generation. Over the past
two years, most tools have been optimised for execution speed: how quickly code
can be written and how fast prototypes can go live. What it has not done is
tell teams whether the product is worth building or help them stay competitive
once it is built. For most businesses, those two problems are still solved the
old way- strategy sessions, consultant briefs, and competitive research that
happens in separate tools, on separate timelines, with no connection to the
build.
The most expensive mistake in
any business is not bad execution. It is good execution of the wrong thing” said
Vishal Virani, Co-founder and CEO, Rocket. “Vibe
coding made building faster than ever but assumed you already knew what to
build. Most teams do not. Rocket 1.0 starts at the moment before the build—
when the right question, answered honestly, changes everything that follows.”
Three capabilities, one connected system
Rocket 1.0 is built around three capabilities that
cover the full arc of how a business operates around a product: before the
build, during it, and after launch.
Before the build: Solve
Solve takes any open business question - which market
to enter, whether a product idea holds up, how to price against competitors -
and returns a structured, evidence-backed recommendation with a clear path to
action. The research that used to require weeks or months or an expensive
external consultant most businesses could not afford now takes hours.
The build itself: Build
Build turns that decision into a production-ready
product - web apps, mobile apps, internal dashboards, customer portals -
without switching tools or re-explaining context. Teams can start from scratch or
bring their existing website or codebase into Rocket. Either way, the thinking
feeds directly into the product.
After launch: Intelligence
Intelligence monitors every platform a competitor
operates on - website, social media, reviews and ratings, press coverage, job
postings, and performance marketing - continuously and simultaneously. It does
not surface data. It interprets it. A pricing change combined with a cluster of
enterprise sales hires combined with new vertical case studies on an investor page
are not three separate signals. It is one picture: a competitor making a
strategic move visible to Rocket before the market makes the consequences felt.
Connecting all three is shared context. Every research
output, decision, and build artefact lives in one place – so the output of
Solve feeds Build, and Intelligence sharpens the next decision without teams
starting over in a new tool.
Deepak Dhanak, Co-founder and COO, Rocket, said, “You
would expect a Fortune 100 strategy team and a solo founder to have completely
different problems. After speaking with both- and everyone in between across
India, the US, and beyond - I found they do not. Every serious builder, at
every scale, wants the same thing: to know they are building right thing, and
to know when the market shifts after they launch. Not in three or more separate
tools. In one place, with everything connected. That is what Rocket 1.0
delivers."
Deepak Dhanak,, added, “ As the AI market matures, the distinction
is becoming clearer: tools that accelerate execution address only part of the
problem. The larger shift is toward systems that connect judgment, execution
and continuous learning. Rocket 1.0 is built for that shift, helping teams move
from a business question to a recommendation, from recommendation to a product
or workflow, and from launch to ongoing intelligence inside the same platform.
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