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Magic Loops

by Magic LoopsYC S23No ratings yet

A no-code platform for building AI-native apps.

Visit magicloops.dev

Linked from magicloops.dev · checked 1 Nov

Tool type
No-code AI-native app-building platform
Made for
App makers
Runs on
Not specified
Enterprise advertises on-premises hosting; confirm client requirements.
Last checked
1 Nov 2026
4 product sources

What it does

Magic Loops is a platform for building AI-native apps and automated workflows. Makers can describe an app, explore shared examples and build loops that connect triggers to actions. Its documentation describes modular blocks, variables for dynamic data and API integrations for connecting external services. Example apps include summarization, image transformation and data-oriented utilities; these examples illustrate the platform rather than separate products.

A dashboard is described for managing and monitoring workflows. Running a loop consumes credits: each block has a fixed or variable cost, including model calls, API use and messages. The pricing FAQ says costs can depend on model context size, message destination and the service called. Review a loop’s expected use before scheduling repeated runs. Free access includes public loops; paid tiers offer private loops, and Enterprise advertises on-premises hosting.

Start from the official signup and documentation. The free card lists daily generation and monthly run credits, while its 8,000-credit headline and comparison table use different presentations. Confirm the current allocation and detailed publishing and runtime requirements.

What it can do

  • Build AI-native apps
  • Create trigger-and-action workflows
  • Compose workflows from blocks
  • Store dynamic workflow data in variables
  • Connect external APIs
  • Manage and monitor workflows

Before you choose

  • Block costs vary with API, model and messaging use; test credit consumption.
  • Free loops are public; confirm privacy and private-loop entitlement.
  • Enterprise on-premises terms require a separate agreement.

Listed under

Get started

The site offers a free plan and a Get Started call to action.

  1. Create an account from the official signup route.
  2. Use the introductory docs to configure blocks, variables and a trigger for one task.
  3. Inspect outputs and credit use before enabling repeated runs.
Sign up

Plans and prices

Prices in USD

Monthly USD plans include credits; the page values 1,000 credits at $1. Blocks consume credits at fixed or variable rates based on model context, APIs or messaging. The FAQ describes a 30% markup over service costs. The free card lists 250 generation credits daily and 500 run credits monthly; its 8,000 headline and comparison presentation require confirmation.

FreeFreeListed as $0 on the pricing comparison.
  • Public Loops
  • 250 generation credits daily
  • 500 run credits monthly
  • Community support
Professional$20/moListed as $20/month on the pricing page.
  • 20,000 credits
  • Private Loops
  • Dynamic Credits
  • Dedicated support
Hobby$9/moPublished monthly USD price.
  • 9,000 credits
Developer$50/moPublished monthly USD price.
  • 50,000 credits
Startup$300/moPublished monthly USD price.
  • 300,000 credits
EnterpriseCustomContact for pricing.
  • Unlimited credits
  • Private Loops
  • On-premise hosting
  • Unlimited runs
  • SOC 2 compliance
  • Custom models

Source: magicloops.dev/pricing, checked 1 Nov 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 1 Nov 2026. Each source supports part of the overview; availability and prices can change.

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What’s changed

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Signals

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Launch traction, hiring and release activity, tracked over time. Free with an account.

Data and security

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See how Magic Loops handles your data

Training on your files, compliance, hosting and the models behind it. Free with an account.

Compare with similar tools

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Where this comes from

How we research
Company website
magicloops.dev: product, pricing and policy pages
YC directory mirror
Batch and company name
Human review
Checked by a person
manual_review

Last checked 1 Nov 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.