AI coding exploded. Cursor. Replit. Claude’s code features. Everyone geared up for faster builds, cheaper dev teams, apps everywhere.
But here’s Rocket — Surat-based startup — saying hold on. The real bottleneck? Deciding what the hell to build. They’ve dropped Rocket 1.0, a platform spitting out consulting-grade product strategies. Think PDFs packed with pricing models, unit economics breakdowns, go-to-market playbooks. All from a simple prompt.
The Gap Everyone Ignored
Co-founder Vishal Virani nailed it in TechCrunch: > “Everyone can generate the code now … it has become a commodity. But what to build is something which everyone is missing.”
He’s right. Code’s commoditized — anyone with a ChatGPT tab cranks out prototypes. Running a business? That’s strategy. Market fit. Revenue math. Big consultancies charge five figures for this. Rocket? $25/month basic, $250 for strategy reports, $350 full suite with competitor tracking.
We tested it pre-launch. Prompt: indie SaaS for remote teams. Out pops a 20-page doc — user personas, pricing tiers benchmarked against Slack clones, TAM estimates. Slick. McKinsey vibes, minus the jargon bloat.
But — and it’s a big but — some outputs felt recycled. Pricing pulled from public comps (Notion at $10/user, etc.). Traffic trends via Similarweb API. Solid data sources (1,000+ including Meta ads, their crawlers), yet no fresh primary research. Virani admits: validate yourself, or ping humans for help.
Can Rocket’s $250 Reports Really Rival McKinsey?
Short answer: For SMBs, hell yes. Enterprises? Jury’s out.
Rocket’s grown wild since $15M seed (Accel, Salesforce Ventures) — 400K to 1.5M users in 180 countries. ARPU $4K annualized, 50%+ gross margins, 20-30% SMB customers. 57 staff, Surat HQ, Palo Alto ops. Numbers scream traction.
Yet strategy ain’t just data mashups. McKinsey wins on proprietary models, C-suite access, iteration loops. Rocket’s two-to-three reports per $250 plan? Great starter pack. But tweak assumptions mid-project? Human loop kicks in, eroding the cost win.
My take — unique angle here — echoes Excel’s 80s disruption. Spreadsheets gutted rote financial modeling from Big 8 firms. Non-finance folks built DCFs overnight. Rocket could do that for product strategy. Democratize the front-end of startups. Except AI hallucinations lurk — one bad TAM calc, and you’re toast.
Virani spins it as “McKinsey-grade.” Bold. But hype detector pings: traditional firms cost thousands per report. Rocket undercuts by 90%+. If data holds (and users vet it), SMBs flock. Prediction: 5M users by EOY if they nail accuracy.
Data firepower.
Competitor tracking shines — site changes, traffic shifts. Pulls from Similarweb, Meta libs, custom crawlers. Not just static; dynamic intel.
Still, limits. No deep proprietary datasets yet. Outputs synthesize known patterns. Fine for solos, bootstrappers. VCs demanding diligence? They’ll want footnotes, sources cited inline.
Why Does Rocket Matter for Indie Founders?
Indies build fast now — vibe code your MVP in hours. But 90% flop on product-market fit. Rocket bridges that.
Pricing tiers make sense:
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$25: App builds.
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$250: Strategies + builds (2-3 reports).
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$350: Full, with intel.
At $4K ARPU, someone’s biting. SMBs love cheap intel. Founders skip $10K consult gigs.
Risk? Overreliance. AI strategies feel authoritative — PDFs look pro. But garbage in, garbage out. Prompt poorly, get fluff.
Historical parallel: Remember Kissmetrics? Early analytics tools promised McKinsey insights for pennies. Some nailed it; others fizzled on data quality. Rocket’s edge? Backed by Accel, scaling users. If they iterate on validation tools — built-in fact-checks, say — they own this niche.
Skepticism check.
TechCrunch noted synthesized analysis. No independent verifies. Virani offers human support — smart hedge.
Market dynamics favor them. Coding AI saturated. Strategy AI? Blue ocean. Cursor et al chase execution; Rocket owns ideation.
Bold call: This shifts power to non-elites. No MBA needed. But execs won’t ditch Bain yet. Watch margins — 50% now, but human support scales costs.
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Frequently Asked Questions**
What is Rocket AI platform?
Rocket 1.0 generates product strategy docs — PRDs, pricing, GTM — plus competitor tracking, from prompts. Ties research to builds.
How much does Rocket AI cost?
$25/month for builds, $250 for strategies (2-3 reports), $350 full with intel. Fraction of consulting fees.
Does Rocket replace McKinsey for startups?
For SMBs and indies, often yes — cheap, fast strategies. Enterprises need human depth; use as accelerator.
