May 8, 2026
Updated May 11, 2026
About Author
Hardik Sojitra
Product
Hardik is part of the growth team at Rocket.new, where he spends most of his time figuring out why people stay or leave. Curious by default, active blood donor, and a big cricket fan.
You already know what you're trying to figure out. Type it. Rocket handles everything after that.
Rocket.new becomes smarter as it tracks more competitors and connects market-wide signals. AI scoring filters noise using impact, urgency, and differentiation to reveal real strategy shifts. More competitor data means sharper product direction, faster decisions, and fewer blind spots.
Does tracking more rivals give you better intelligence, or just noise?
AI adoption among CI teams grew 76% year-over-year in 2025, with 60% now using AI daily. Manual research cannot keep pace. AI is revolutionizing the way applications are built and developed, enabling faster and more efficient processes.
Rocket.new applies this thinking at scale. Track more rivals, build context, and get a faster strategy.
Most tool setups treat each rival as a separate feed. Nothing connects research across updates. Rocket.new pulls from 1,000+ data sources, spotting micro-signals across rival websites.
Category-wide shifts become visible, not just one company's move
Hiring surges in specific AI technology show where things are heading
Launch timing reveals when a gap exists to build into
Rocket retains data permanently. No re-learning cost weeks later.
Rocket scores every signal using Impact x Urgency x Differentiation.
Impact measures how a move changes positioning
Urgency flags what needs response before the moment passes
Differentiation shows where your product is missing what users want
Founders build a strategy around these signals. The AI makes sense of every rival tracked.
| Approach | What You See | What You Miss |
|---|---|---|
| Single rival, manual | One company's features | Market direction, category patterns |
| Multiple rivals, isolated tool | Individual updates | Cross-market analytics, trends |
| Multiple rivals, Rocket | Aggregated signals scored by impact | Nothing, continuous runs |
About 90% of startups fail, and the top causes are not about code or execution speed. They are about direction. Founders build things nobody needs because they skip market research before a single line of code is written.
A structured brief shaped before product building begins includes rival positioning and business thinking. Rocket.new's Solve tool does this: describe a problem, and it returns research. No guess. No assumptions.
That brief passes into Build. Your team does not start building from a blank prompt. They start building from evidence, and the code reflects real strategy.
When teams work from a shared context, they experience less confusion and can align their strategies more effectively, leading to stronger direction and decision-making.
Rocket.new builds shared support across your team. The platform carries everything into the next prompt, the next build, the next launch.
Sales gets background for the call without asking about the product
Founders stop making wrong decisions from outdated analytics
Users see market direction before writing code
That shared approach speeds up execution and keeps everyone solving together.
Dr. Ben Gilad, founder of the Academy of Competitive Intelligence, shaped how the field thinks about this:
"In competitive intelligence, people who advocate for more data simply have no clue what real intelligence looks like." - Source: Octopus Competitive Intelligence
That idea sits at the core of Rocket. The tool scores and filters so your team can act on what matters.
Rocket.new is a vibe solutioning platform that puts intelligence, code generation, and product building into one workspace. Other AI vibe coding tool options build fast. Rocket handles the thinking before and after you build.
Vibe solutioning platform connecting research to code to launch
25,000+ templates library, free to use
Saves up to 80% tokens compared to vibe coding on other AI tool options
Supports Flutter (mobile) and Next.js (web) for production-grade architecture
Collaboration features built in for team support
3 Products, One system: Solve, Build, and Intelligence
So here are use cases for startups:
Use Solve for market analysis. It maps rivals, checks pricing models, and finds user gaps.
That pass into Build happens without re-explaining. Write a prompt and start building from a structured brief.
Post-launch, Intelligence watches what moves next. Signals are scored against your strategy.
Weeks later, accuracy compounds. The AI has a clearer interpretation of direction for your next build.
The platform's Intelligence feature follows a structured approach to competitor tracking, which includes market research and competitor mapping, and can lead to more informed product decisions and reduce the risk of building products that do not fit market needs.
Its data aggregation from diverse sources, including job boards and social media, makes it easier to identify gaps in competitors' offerings, leading to more accurate strategic insights. Also, the platform retains data permanently, preventing context loss and reducing 're-learning' time, which enhances accuracy over time.
Why does Rocket.new's intelligence get more accurate the more competitors you track?
Because each data point builds on everything the platform already knows. For founders and teams who want to build things customers need, Rocket makes the difference between guessing and acting with speed and direction.
Sign up now! Track more competitors, uncover stronger market signals, and build with confidence using Rocket.new Intelligence.
Table of contents
Is Rocket.new Intelligence, a tool that helps managers assess rivals?
What four areas does Rocket.new Intelligence cover?
How does the vibe solutioning platform differ from a standalone tool?
Does tracking more rivals slow down the AI?