Create

Name: Create
Brand: Anything
Rating: 2.5 (21 reviews)

AI Native

Anything is an AI text-to-app platform that generates and iterates full-stack web and mobile applications from natural-language chat, with integrated backend primitives (database, authentication, storage) and credit-based deployment and monetization tooling.

Est 2020|Valuation $100M|Raised $28M|9 Ref Customers

Website|Web traffic 107K|FTEs 866|HQ San Francisco, California, US

Published Sep 30, 2026

01Common complaints

- Requirement: enterprise-grade compliance - If procurement requires SOC 2 Type II, SSO/SAML, SCIM, audit logging, and a vendor trust center, the vendor’s publicly documented posture (as found in this review) appears insufficient. - Requirement: deep custom native functionality - Reports indicate limitations in installing custom SDKs, libraries, or native modules; applications requiring niche device integrations should consider traditional development stacks such as React Native or Flutter, or platforms that explicitly support custom native modules. - Requirement: predictable cost model - If predictable spend is crucial, platforms with clearer per-message, per-token, or workload-unit predictability (or fully manual development) may offer lower financial risk than agentic, credit-metered systems. - Requirement: mature DevOps workflows today - GitHub sync is listed as "coming soon" in export documentation; development teams requiring integrated repo workflows and CI/CD may prefer platforms with established repo integrations. - High dependence on third-party app store tooling via a builder - Public reporting indicates App Store policy enforcement can affect third-party builders producing mobile apps; this adds platform-level risk outside the vendor’s direct control. - Credit burn loops - Multiple reviews describe scenarios where agent processes repeat attempts to fix issues until credits were exhausted. - App Store ecosystem risk - Reporting indicates Apple enforcement actions affected the vendor’s iOS app at times, which introduces platform distribution risk. - Extensibility constraints - Reviewers report limited ability to install arbitrary SDKs/libraries/native modules. - Security/compliance opacity - No public SOC 2 or ISO certification evidence was found in the reviewed materials. - Roadmap signals - GitHub sync and some developer workflow features are listed as forthcoming in documentation.

02Why they buy

- Differentiators identified from product documentation and positioning (validation recommended): - Multi-platform generation claim: shared project model for web + iOS + Android. - Built-in infrastructure primitives: Postgres DB, authentication providers, payments, storage. - Automated testing and repair agent (branded as "Max") described in product materials and noted by some third-party reviewers. - Where competitors have clear advantages - Transparency and predictability - Some competitors publish specific prompt-cost examples and offer plan modes that make exploratory use more predictable. - Mature developer workflows - Some platforms provide longer-established coding and deployment environments and deeper ecosystem tooling.

03Field reports

Customer Testimonials

- Notes on review-platform coverage limitations - Gartner Peer Insights: a product listing with reviews for this vendor was not located in accessible results for this research (it may not exist, be hard to locate, or be restricted). - Official on-site testimonials (vendor-selected) - The vendor’s homepage contains testimonials from named builders describing rapid time-to-launch and non-technical enablement (vendor-cited short timelines). These are vendor-selected testimonials and may not represent typical outcomes. - Trustpilot (mixed but leaning negative in accessible sample) - Negative themes appearing in Trustpilot excerpts include: - Accounts blocked during trial and limited support response; difficulty canceling. - Reports of a "credit drain" where the agent repeatedly attempts to fix the same issue and exhausts credits. - Strongly worded allegations by some reviewers characterizing the service as a "scam" or a "money trap." These are user opinions. - Positive themes include: - Some users report rapid iteration for testing ideas and cite positive customer service experiences. - Reddit (community discussion; mixed, includes strong criticism) - Rebrand/legacy project frustration: - Community posts report that projects originating on Create.xyz became legacy and required migration or credits to modify; some users expressed intent to migrate to other tools. - App Store submission friction: - Community threads include reports of difficulties pushing builds to app stores. - Some community comments suggest the platform reduces debugging loops compared to other tools, but these are anecdotal. - Hacker News (historical Create.xyz discussion) - A 2023 "Show HN" discussion included skepticism about output quality and questions regarding the balance of AI-generated vs human-edited content. - Tech press coverage (neutral/critical) - Tech press reported that the vendor’s iOS app was removed from the App Store on multiple occasions amid Apple’s enforcement actions affecting similar builder-generated apps; the company explored alternate approaches (for example, desktop workflows) to support mobile building.

Vendor-published case-like claims

The vendor’s homepage includes builder stories implying rapid time-to-market. These claims are vendor-published and are not independently verified.

Third-party hands-on reviews (quasi-case studies)

- Automateed’s reviewer describes building a basic CRUD app with authentication and testing where the system encountered issues, including validation edge cases and data seeding inconsistencies; the reviewer concluded the platform can be adequate for MVPs but may require ongoing work. - Vibecoding.app’s review notes the autonomous testing/fixing agent as a notable feature, while also flagging pricing opacity and complexity and fragility on long-running builds; some discrepancies with publicly stated pricing were noted and may reflect historical differences or account-specific views.

Critical evaluation

Most outcome metrics cited in marketing materials are not supported by independent measurement in this research.
The most material risks identified by users are not solely generation quality but include:
- cost-to-fix when agent processes enter loops
- constraints on extensibility
- operational friction (App Store policies, account and cancellation issues)

04Best fit

- Company sizes - Likely fits: - Solo founders through small teams - Early-stage products focused on validating demand - Industries / verticals - Suitable for: - Consumer apps, simple SaaS tools, and internal tools where compliance requirements are moderate. - Higher risk for: - Healthcare, fintech, and enterprise IT until the vendor’s security and compliance posture is clearly documented. - Roles and personas - Decision makers - Non-technical founders - Product managers focused on prototyping - Agency owners delivering MVPs - End users - Makers building and iterating UIs, flows, and monetization experiments - Pain points it addresses - Reduces time to first working version from an idea - Reduces the need to set up infrastructure manually (DB/auth/payments) - Lowers initial hiring needs for early validation - Qualification criteria (suitable fit) - Buyers should be willing to accept "good enough" initial builds and plan to test and iterate. - Applications should be buildable with common integrations and standard mobile/web patterns. - Budgeting for upgraded plans may be necessary for extended autonomous runs or large-scale generation. - Deal disqualifiers (poor fit) - Requirement for SOC 2 / ISO certification, data residency guarantees, or formal enterprise controls without vendor documentation. - Need for custom native SDKs or modules or unusual device-level capabilities that are not supported by built-in features. - Requirement for deterministic costs per feature where credit-burn variability is unacceptable.

05The pitch

What the product does (core value proposition in objective terms)

- Anything (formerly Create) is an AI "text-to-app" platform that generates and iterates on full‑stack applications from natural‑language chat. - It targets web apps, websites, and native‑like mobile apps (iOS + Android) from a single project, with built‑in backend primitives (database, auth, storage) and monetization integrations (e.g., Stripe, RevenueCat per vendor documentation). - The platform is positioned as an AI‑driven product engineering assistant (an agent that plans and edits a codebase) rather than a pure no‑code drag‑and‑drop builder.

Target market and market positioning

- Primary: solo founders, non‑technical builders, indie hackers, and small teams shipping MVPs quickly. - Secondary: agencies and prototyping teams that require rapid iteration with deployable outputs. - Positioning: marketed for production use with integrated infrastructure and one‑click publishing; marketing emphasizes design quality (described in vendor materials as "human‑like") and an autonomous agent branded as "Max" for testing and automated fixes.

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