Rocket.new

Rocket.new is unusual among AI app builders in that it does not start with code. The homepage pitch — "Most AI tools help you build faster. None of them tell you what to build" — describes a real product split. Solve takes a market problem, decision, or opportunity plus an optional doc, deck, or link, and returns a structured brief with findings, evidence, and a point of view. That brief carries into Build, so the context you established during research is still present when you generate a landing page, web app, mobile app, internal tool, or dashboard. You can also import a Figma file for design-to-code, and deploy to staging and production in one click. The third leg, Intelligence, monitors the public platforms your competitors operate on and reports pricing moves, messaging shifts, product launches, hiring signals, social activity, and website changes as daily briefs. Strengths: the three capabilities share one context instead of living in three subscriptions, which is the actual differentiator — the seed and scrape both describe decisions carrying forward without re-explaining. The catalog is broad: websites, landing pages, web apps, mobile apps, SaaS, internal tools, and dashboards, plus 25,000+ template starting points. Compliance is on by default rather than bolted on — SOC 2, ISO 27001, GDPR, CCPA, SSO/SAML, role-based access, and audit logs — which matters if you need procurement sign-off. Pricing is credit-based with unlimited team members, no per-seat fee, and credits that never expire while your subscription is active, matching what the vendor calls "pay for what you use — not for how many people are using it." Weaknesses: credits are the currency for everything — Solve, Build, and each competitor tracked — and consumption scales with complexity, so heavy app generation burns budget faster than the headline credit counts suggest. One public tester described the mobile app they built costing roughly 200k credits, which is a useful data point if your usage skews toward full apps. SSO, data localization, premium support, and onboarding assistance are handled through a sales conversation rather than self-serve on the pricing page. And Rocket does not name the underlying AI models anywhere in the crawled site content, so you can't evaluate the model layer from the public pages. Where it fits: solo founders who want research, a built product, and ongoing monitoring in one place; product teams moving from brief to live app; consultants delivering strategy plus a built artifact plus market intelligence; ops leaders shipping internal tools; and GTM teams building lead scoring, outreach, and pipeline tools — the vendor's August 2026 blog post publishes 19 prompts across 5 phases for exactly that last use case. Where it doesn't: engineers who want full control over code, stack, and infrastructure; teams already satisfied with a dedicated coding assistant; and anyone who just needs a basic no-code website builder with no research or monitoring