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FlutterFlow

Cross-platform mobile app builder with code

Overview

FlutterFlow provides a platform to build cross-platform mobile apps using a visual, drag-and-drop builder for teams, including startups and businesses. It enables non‑developers to create apps quickly, while developers can add custom code to extend functionality; the platform generates the underlying code and handles multi‑platform deployment. What sets it apart is the blend of easy visual development with the option to insert custom code, supporting fast, affordable iteration over traditional development or other no‑code tools. Its goal is to make mobile app development accessible and cost-effective by enabling rapid ideation, testing, and deployment based on user feedback.

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About FlutterFlow

Simplify's Rating
Why FlutterFlow is rated
B+
Rated B on Competitive Edge
Rated A on Growth Potential
Rated B on Differentiation

Industries

Consumer SoftwareEnterprise Software

Company Size

51-200

Company Stage

Series A

Total Funding

$25.6M

Headquarters

Mountain View, CA

Founded

2020

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What believers are saying

  • Product Hunt ranked Campus third with 430-plus upvotes, signaling strong builder curiosity.
  • Oct. 29, 2025 Mobile Preview cut device testing friction and accelerated iteration.
  • Jan. 28, 2025 Google Cloud and Accenture opened enterprise CPG distribution channels.

What critics are saying

  • OpenAI's Aug. 26, 2026 Assistants shutdown breaks any legacy FlutterFlow integrations.
  • Pricing now spans Free, Basic, Pro, and Max, pressuring upgrades and churn.
  • OpenAI, Google, and Anthropic can absorb FlutterFlow's AI layer; customers can switch away.

What makes FlutterFlow unique

  • Nov. 4, 2026 AI-native builder ships prompt-to-app, backend, analytics, and store deployment.
  • July 15, 2026 Campus adds shared macOS agent canvases with Claude and Codex.
  • FlutterFlow's studio-plus-AI stack keeps visual control and code ownership in one platform.

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Funding

Total Funding

$25.6M

Above

Industry Average

Funded Over

2 Rounds

Notable Investors:
Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
$15M
$25.5M
$30M

Growth & Insights and Company News

6 month growth

0%

1 year growth

-1%

2 year growth

6%
TechStartups
Nov 4th, 2026
FlutterFlow Launches AI-Native App Builder for iOS and Android.

FlutterFlow Launches AI-Native App Builder for iOS and Android. Mountain View, CA, United States, November 4th, 2026, TechnologyWire From one prompt to a native iOS and Android app, with backend, analytics, and app store deployment included. Run multiple tasks with your agent at once, and ship apps that look designed, not generated. FlutterFlow today introduced a new AI-native app builder that lets users create, refine, and deploy native iOS and Android applications through conversations. Builders describe what they want to create, then work with an AI agent to develop the application, connect its backend, and prepare it for deployment to the App Store and Google Play - all within the platform. FlutterFlow's existing visual development platform will continue as FlutterFlow Studio, giving builders direct control over their applications alongside the new AI-first experience. With the launch, FlutterFlow now supports two distinct approaches to building software: agent-led development and hands-on visual development. Instead of asking builders which product is more advanced, FlutterFlow asks one question: how do you want to build? "We learned that people wanted a conversational way of building", said Abel Mengistu, co-founder and CEO of FlutterFlow. "They wanted to prompt for their first idea, and for the changes after. Studio is incredibly powerful, but it didn't give them that experience. We knew that we could build something impactful for this new group of users from the ground up. We also have a fantastic community of millions of builders, built over five years, who want to keep building in Studio. It became clear we needed to build for both." The new FlutterFlow takes builders from prompt to production. Its AI agent handles implementation tasks while builders guide the product, refine the experience, and prepare their applications for release. Key Features: * One App, iOS + Android: Start with a prompt and get one app that runs natively on iOS and Android. * Built-in Backend + Analytics: A database, authentication, functions, and secrets, plus app analytics, included from the start. * Concurrent Agent Tasks: Work on multiple threads at once, with the agent running several tasks in parallel. * Design-Ready: Polished, production-grade design from the first build. * Conversational Refinement: Guide and refine what the agent builds, and test it on your own phone. * Store Deployment: Publish to the App Store and Google Play without leaving FlutterFlow. Both experiences are available at flutterflow.io. New users can select their preferred development workflow during signup, while existing users can continue in Studio and explore the new FlutterFlow through their current subscription, subject to applicable usage limits. About FlutterFlow FlutterFlow is an application development platform that helps people build, launch, and manage software. Through AI-first and visual development experiences, FlutterFlow gives builders different ways to create native mobile applications, connect backend services, test their work, and deploy to stores. Learn more at flutterflow.io. Contact. Bee Law FlutterFlow [email protected]

Creatr
Oct 15th, 2026
Best no-code mobile app builders (2026).

Best no-code mobile app builders (2026). Quick answer: For a real native iOS and Android app, FlutterFlow is the best pick for power and control - it generates exportable Flutter code. Adalo is the best pick for non-technical founders who want true native output without touching code. Rork is the best AI-native option: describe the app in plain English and it generates a React Native app you can export. Glide is best for data-driven internal apps, though it ships a mobile-friendly web app rather than true native. And Bravo Studio is the best fit for designers who already have the screens in Figma. Note the scope. This guide is specifically about tools that produce native mobile apps - something that installs on an iPhone or Android device and can ship to the App Store and Play Store. That is a narrower category than general no-code app builders, many of which produce responsive web apps or progressive web apps instead. If a web app is actually what you need, read the broader no-code app builders roundup; this one stays on native mobile. Summary comparison. The table below is the fast version. Everything after it is detail. Verify current plan structure on each vendor's own site, because the mobile-builder pricing models shift and are not worth quoting from memory. | Tool | Approach | Truly native? Best for | The catch | | FlutterFlow | Visual builder on Flutter, generates Dart | Yes (iOS + Android) | Power users who want control | Steeper learning curve | | Adalo | Drag-and-drop | Yes (iOS + Android) | Non-technical founders | Less customizable than rivals | | Glide | Data source to app | No (PWA / web) | Data-driven internal apps | Not true native | | Bravo Studio | Figma design plus APIs | Yes (iOS + Android) | Designers with finished screens | You supply the backend / APIs | | Rork | AI-native, plain-English prompt | Yes (React Native / Expo) | AI-first mobile prototyping | Generated code needs review | FlutterFlow. FlutterFlow is a visual builder that sits on top of Google's Flutter framework. You assemble screens in a drag-and-drop canvas, wire up Firebase for data and auth, drop in custom code where you need it, and export real Flutter and Dart code at the end. That combination - visual speed plus a genuine escape hatch into code - is why it is the most capable tool in this list. The catch is the learning curve: FlutterFlow assumes you understand widgets, state, and data binding, so it rewards developers and technical founders more than it does complete beginners. If you have outgrown it or want to compare the field, see FlutterFlow alternatives in 2026. Adalo. Adalo is the friendly end of native mobile. It is a drag-and-drop builder that produces true native iOS and Android apps, and it is deliberately approachable for people who do not write code. The trade-off is directly opposite FlutterFlow's: Adalo is easier to learn but less powerful and less customizable, so complex logic and demanding performance eventually hit a ceiling. For a non-technical founder shipping a straightforward first app, that trade is often the right one. When the ceiling arrives, Adalo alternatives in 2026 covers where people go next. Glide. Glide turns a data source - a spreadsheet, Airtable, or Glide's own tables - into a polished, app-like interface in minutes. It is genuinely fast for internal tools and data-driven apps where the data already lives in a sheet. The important honesty here is that Glide produces a progressive web app, a mobile-friendly web app, rather than a true native iOS or Android build. For internal use that distinction rarely matters; for a consumer app you want in the stores it does. If you need more than Glide's model allows, Glide alternatives in 2026 maps the options. Bravo Studio. Bravo Studio is the design-first choice. It takes a finished Figma design, connects each screen and element to your APIs, and turns the result into a real mobile app for iOS and Android. If you already have polished screens and a backend to point at, Bravo gets you from design to installable app without rebuilding the UI in a separate tool. The catch is implied by the approach: Bravo expects you to bring both the design and the data layer, so it is a poor fit for someone starting from a blank idea with no backend. Rork. Rork is the AI-native entry. You describe the app you want in plain English, and it generates a React Native app, built on Expo, that runs on iOS and Android. You own and can export the generated code, and a premium tier builds native Swift. For getting an AI-first mobile prototype in front of people quickly, it is the fastest path on this list. The same caveat that applies to every AI code generator applies here: the output is a real codebase, and a real codebase needs review before real users touch it. How to choose. Start with one question: do you actually need a native app? A native build earns its keep when you need offline behavior, push notifications done properly, camera and sensor access, or an App Store presence that your audience expects. If none of that is load-bearing, a web app is usually faster to ship and easier to maintain, and the broader roundup linked above is the better starting point. If native is the real requirement, match the tool to how you work. Want control and are comfortable with code concepts? FlutterFlow. Non-technical and want the simplest path to native? Adalo. Building an internal, data-driven tool and fine with a PWA? Glide. Have the Figma screens and a backend already? Bravo Studio. Want to prompt your way to a prototype? Rork. Then weigh the limits that apply to the whole category, not to any one vendor. App Store and Play Store submission and review are their own project - rejections over metadata, permissions, and policy are common and have nothing to do with how you built the app. Performance and complex native features are where no-code mobile gets hard fastest. And any tool that generates code hands you code you are now responsible for, which means review is not optional. The verdict. There is no single winner, only a best fit per situation. FlutterFlow is the most capable if you can absorb its learning curve. Adalo is the kindest to non-coders who want true native. Rork is the quickest way to turn a description into a working mobile prototype. Glide is excellent for data-driven internal tools if a PWA is acceptable. Bravo Studio is the right tool when the design already exists. Pick based on how you work and what the app genuinely needs, not on which demo looked slickest. Where Creatr fits. Creatr (also known as DeepBuild) is not in this category, and it would be dishonest to pretend otherwise. Creatr is a managed AI product studio that builds, hosts, and runs a production-grade web app in about 24 hours, with humans in the loop, and you own the code at the end. It does not build native mobile apps, so if a true native build is genuinely required, the tools above are the right place to look. Here is the part worth saying plainly, though: a lot of ideas people call "an app" ship better as a web app. A web app runs on every device, needs nothing installed, skips App Store review entirely, and reaches production faster. That is Creatr's lane, and for a large share of products it is the more practical answer than a native build. Where a native app really is the requirement, the builders in this guide are the correct category - but the hard part is not drawing the screens. It is the production 30 percent: enforced authentication, data isolation between users, sane failure handling, and correctness under load. That work is what decides whether an app is safe to put in front of real users, no-code or not. Whatever you build with, do not let the last 30 percent be the part nobody owns. Common questions. * What is the best no-code mobile app builder? - It depends on your goal: FlutterFlow for power and control, Adalo for non-coders, Rork for an AI-native prompt-to-app flow, Glide for data-driven internal apps, and Bravo Studio for designers building from Figma. * Can you build a real native app with no code? - Yes - tools like FlutterFlow, Adalo, and Rork publish true native iOS and Android apps. The hard parts are app-store submission, performance, complex native features, and reviewing generated code before real users. * What is the difference between a no-code mobile app and a web app? - A mobile app is installed from the app stores and can use native device features; a web app runs in any browser with nothing to install. Many ideas ship faster and reach more devices as a web app. Prince Mendiratta Co-founder and CTO Updated October 15, 2026 Co-founder and CTO of Creatr, building DeepBuild: the system that ships production web apps in 24 hours. Prince's open-source WhatsApp userbot, BotsApp, earned 5.5k GitHub stars and 1.3k forks during his college years. He later ran a solo freelance engineering practice to $100K in revenue before co-founding Creatr.

InfiniteUp
Jul 29th, 2026
FlutterFlow OpenAI integration: the 2026 guide (now that the Assistants API is retiring).

FlutterFlow OpenAI integration: the 2026 guide (now that the Assistants API is retiring). July 29, 2026 Fully rewritten July 2026. The original version of this post - one of the most-read guides on its blog - walked through integrating OpenAI's Assistants API into FlutterFlow. OpenAI is shutting that API down on August 26, 2026. This rewrite covers what to use instead, and how to migrate if you built on its original guide. There are now three good ways to run a FlutterFlow OpenAI integration, and the right one depends on how much control you need. Infiniteup build AI features into FlutterFlow apps for clients every month - chat concierges, nutrition engines, document analysis - so this is the decision Infiniteup make repeatedly, not a summary of someone else's tutorial. First, the deadline: the Assistants API is going away. If your app still calls the Assistants API - threads, runs, run steps - it stops working on August 26, 2026. OpenAI has said there will be no extension, and no automated tool to migrate your stored threads. Its replacement is two simpler building blocks: the Responses API (send input, get output) and the Conversations API (stores the back-and-forth). The mapping is mercifully clean: * Assistants | Prompts. Your assistant's configuration (model, tools, instructions) becomes a Prompt, managed in the OpenAI dashboard rather than created over the API. * Threads | Conversations. A conversation object holds the running history, including tool calls - not just messages. * Runs | Responses. One request, one response. The polling loop its 2023 guide taught you - create a run, then check its status until it completes - is gone entirely, and good riddance. * Run steps | Items. Messages, tool calls and outputs are all just items in the conversation. If you need your users' existing thread history, you have to move it yourself before the shutdown: fetch the messages from each thread and write them into a new conversation. Budget a day for it. If your chat history is disposable, skip the backfill and start clean. Option 1: FlutterFlow's built-in AI Agents (start here). FlutterFlow now ships first-class AI Agents, and for most apps this is the right starting point. You define the agent inside FlutterFlow - provider (OpenAI, Google, Anthropic or ElevenLabs), system message, example conversations, temperature, response format - and the platform handles the plumbing. The part that matters most is what it does with your API key. When you use an OpenAI agent, FlutterFlow deploys a Cloud Function in your Firebase project that relays requests to the API, so the key lives on the server and never ships inside your app. That requires your Firebase project to be on the paid Blaze plan - a common stumbling block, so upgrade before you wonder why deployment fails. In your pages you then use the agent actions: Send Message (with a conversation ID, so context carries across turns), Clear Chat History, plus speech, transcription and image generation if you've configured those agent types. Chat agents accept text, images and documents depending on the provider, and can return plain text, markdown or JSON. The honest limitation: agents are controlled workflows, not autonomous ones. There's no function calling, so the model can't trigger your app's actions or query your database mid-conversation. For chat, summaries, suggestions and guided flows, that constraint won't bother you. The moment you need the AI to do things rather than say things, you've outgrown Option 1. Option 2: the API Calls interface, pointed at the Responses API. FlutterFlow's API Calls interface - the same one its original guide used - works fine against the new endpoints. Create an API group for OpenAI, add a POST call to /v1/responses with your model and input, and parse the output items from the JSON. For multi-turn chat, either pass previous_response_id or create a conversation object and reference it on each request; the conversation route is what OpenAI recommends now, and it spares you from rebuilding history client-side. One rule Infiniteup consider non-negotiable, and the reason Infiniteup'd steer most teams to Option 1 or a proxy: do not put your OpenAI API key in a client-side API call. A key stored in app state or an API header ships inside your binary, and extracting it is trivial. Every real project Infiniteup deliver routes AI calls through a backend the key lives in - a Firebase Cloud Function, a Supabase Edge Function, or the client's existing API. The FlutterFlow side then calls your endpoint, which calls OpenAI. That's fifteen extra minutes of setup, and it's also where you add the things production apps need anyway: rate limiting, logging, cost caps per user, and guardrails on what the model may be asked. Option 3: custom code, for the last 10%. Custom actions in Dart give you everything the first two can't: token-by-token streaming so responses appear as they're generated, retry and timeout logic tuned to your UX, and multi-step orchestration - the pattern where a request fans out to several model calls and the results are merged. Infiniteup has used this for apps where a queue of AI jobs runs against uploaded images, and for a nutrition engine where one user action triggers a chain of structured-output calls. If you don't already know you need this, you don't need it yet. Which one should you pick? * Chat, summaries, content generation, guided Q&A | the built-in AI Agents. Least code, key handled properly by default. * Structured outputs, your own backend, tool use, cost controls | API Calls against the Responses API, always through a server-side proxy. * Streaming, orchestration, heavy custom logic | custom code actions, written by someone who has done it before. And a closing note from the field: the model call is the easy fifth of any AI feature. The work that decides whether users trust it is everything around the call - what happens when the API is slow, what happens when the answer is wrong, how you keep one enthusiastic user from spending your month's token budget in an afternoon. That's app engineering, not prompt engineering, and it's the difference between a demo and a product. Building an AI feature into a FlutterFlow app and want it done right the first time? That's a large part of what Infiniteup do - see how Infiniteup approach app development for founders, or custom AI systems for operating businesses. Turning an idea into a product? See its MVP app development approach

Creative AI News
Jul 17th, 2026
Campus: one canvas for humans and AI agents.

Campus: one canvas for humans and AI agents. FlutterFlow launched Campus on July 15, 2026, a macOS workspace that puts your repo, terminals, and AI coding agents on one infinite, persistent canvas. FlutterFlow launched Campus on July 15, 2026, a macOS workspace that puts your repo, terminals, project notes, and AI coding agents on one infinite, persistent canvas. Instead of juggling a code editor, a terminal, Slack threads, and a separate AI chat, Campus makes agents like Claude and Codex peers that see the same canvas you do and arrange tiles around you as they work. It debuted at number three on Product Hunt with more than 430 upvotes, and it is free. What this enables. Campus treats every tool as a draggable tile on a zoomable surface that remembers its layout across restarts. You talk to an agent in a real terminal tile, and it answers on the canvas by spawning, moving, and updating tiles through actual campus commands. Point an agent such as Claude Code or the Codex CLI at your repo, and its output, files, and running processes stay pinned in one spatial workspace rather than scrolling out of a chat window. Share a link and a teammate joins the same canvas with live cursors, and agents join through the same mechanism. Why it matters for creators. The hard part of building with AI agents is not the model, it is keeping context in one place. Campus is a bet that a persistent spatial canvas beats a stack of disconnected chat sessions, and it competes with the recent wave of agent workbenches such as Juggler's visual workbench for AI coding agents. For builders running multiple agents at once, having every terminal, repo, and agent action visible on one surface is a real workflow shift. Key details. Platform: macOS only, distributed as a direct DMG download. Agents: Claude and Codex act as peers, not chat boxes, driving tiles through campus commands. Collaboration: Shareable canvases with live cursors and cursor chat for humans and agents. Extensibility: A full Dart SDK reaches every layer for custom tiles and commands, from the team behind FlutterFlow. Price: Free at launch. What to do next. If you work on a Mac and already run coding agents, download Campus and move one active project onto the canvas: pin your repo, open a terminal tile, and let an agent spawn its own tiles as it works. It is the fastest way to feel whether a spatial workspace fits how you build.

PR Newswire
Oct 29th, 2025
FlutterFlow Expands Dreamflow with Mobile Preview to Help Individuals and Teams Instantly See and Test Their Apps as They Build

FlutterFlow expands Dreamflow with Mobile Preview to help individuals and teams instantly see and test their apps as they build. News provided by. FlutterFlow The new features lets individuals test changes instantly on real devices and gives teams live visibility to collaborate and decide faster. SAN FRANCISCO, Oct. 29, 2025 /PRNewswire-PRWeb/ - FlutterFlow today announced Mobile Preview, a new capability in Dreamflow, its agent-first app creation environment, that helps individuals and teams move faster and stay in creative flow while refining details, testing gestures, animations and layouts. The new features also makes it easy for teams to collaborate in real time, allowing developers, designers and product managers to instantly share live app previews, experience updates together, and make faster, more aligned decisions. With Mobile Preview, users can now instantly preview their app on real devices without building, installing, or waiting by simply scanning a QR code. Updates appear in real time, allowing users to see and feel how their layout, animations and interactions perform on a physical device, then quickly tweak and re-test without breaking focus. The result is faster iteration and a more intuitive feedback loop for both individuals and teams "When you remove friction, you unlock momentum," said Abel Mengistu, CEO of FlutterFlow. "Mobile Preview helps individuals and teams see and free progress instantly and move faster, without waiting for builds and handoff." Traditionally, testing how an app behaves has been slow and fragmented. Developers often spend time configuring environments, building and deploying apps just to validate small visual or interaction changes. Mobile Preview replaces that slow cycle with an instant workflow that connects directly to Dreamflow. * Instant preview: View your app on any phone or tablet in seconds - no builds or installs. * Multi-device testing: Share a single QR code to preview your app on multiple devices simultaneously. * Live hot reload: See every change reflected instantly as you build. * Real-device feel: Validate scrolling, gestures, and animations on individual devices. Test on Mobile is now available to all Dreamflow users. Users can begin testing their apps instantly by visiting www.dreamflow.app. About FlutterFlow FlutterFlow is a visual development platform that empowers developers and teams to design, build, and launch production-ready mobile applications faster. The company's latest product, Dreamflow, is an AI-first development environment that unites visual design, AI-assisted development, and full-code editing into one seamless experience helping developers stay in creative flow from idea to execution. Trusted by over 2.6 million users worldwide, FlutterFlow is used by builders, startups, and enterprise teams to deliver cross-platform web and mobile apps with speed, flexibility, and full code ownership. SOURCE FlutterFlow

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