Anthropic

Anthropic

Anthropic AI
7 reviews34 shoutouts
1.6K followers

Maker Shoutouts

Testimonials from top launches

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MGX (MetaGPT X)
Mike
used this to buildMGXMGX (MetaGPT X)
(195 points)
Leveraging Claude 3.5 Sonnet for advanced content creation and complex reasoning tasks. Claude's exceptional capabilities in understanding context and generating high-quality outputs have been instrumental in powering our advanced agent features.
GrowthTrack AI
Zack Fediay
used this to buildGrowthTrack AIGrowthTrack AI
(223 points)
Even better than open AI for coding
Crosshatch
Soren Larson
used this to buildCrosshatchCrosshatch
(100 points)
Anthropic's claude sonnet 3.5 and claude 3 haiku are available in our API.
Mesh
Erin Kim
used this to buildMeshMesh
(331 points)
Claude's powerful LLM model enabled us to build a powerful chat experience to democratize financial insights for founders + founding teams.
Lemni
Krijn Rijshouwer
used this to buildLemniLemni
(354 points)
Anthropic has been remarkable for their models.
Webdraw
Rafael Crespo
used this to buildWebdraw BetaWebdraw
(1,113 points)
Claude has been a key part of our AI stack. Anthropic AI is pushing the boundaries of what LLMs can do.
TestAI
Hasan Abusheikh
used this to buildTestAITestAI
(486 points)
Anthropic AI Love 3.5 Sonnet - it's the default model we use with Cursor.
Writesonic
Samanyou Garg
used this to buildSEO AI AgentWritesonic
(802 points)
One of the best LLMs.
Permit.io
Gabriel L. Manor
used this to buildPermit AI Access ControlPermit.io
(294 points)
We use MCP to create a human-in-the-loop access request flow, and it's just awesome
Wordware
Kamil Ruczynski
used this to buildWordwareWordware
(7,620 points)
At Wordware, we aim to provide multiple LLMs so that it is easy to switch between various large language model providers with one click. Hence, using Anthropic models was a no-brainer for us, as they are very strong in reasoning, and we often share them with our clients.
Factory
Caroline Ricksen
used this to buildFactoryFactory
(89 points)
Anthropic's Claude helps us tackle complex reasoning tasks and provides Factory with sophisticated analytical capabilities that enhance our developer experience.
Nia
Arlan Rakhmetzhanov
used this to buildNiaNia
(280 points)
At Nia, we aim to provide multiple LLMs so that it is easy to switch between various large language model providers with one click. Hence, using Anthropic models was a no-brainer for us, as they are very strong in reasoning, and we often share them with our clients
infra.new
Caleb Van Dyke
used this to buildinfra.newinfra.new
(69 points)
Anthropic powers most of our interactions with LLMs.
Vibor Cipan
used this to buildLovable
(2,007 points)
One of the main technologies we use for powering Lovable, even more performant with latest models.
Stella AI
Pradhumn Vijayvargiya
used this to buildStella AIStella AI
(475 points)
Stella uses some of Anthorpic's foundational models to deliver exceptional experience to our users.
Agora API
Param Jaggi
used this to buildAgora APIAgora API
(385 points)
We use Claude in our payments stack. The computer use version combined with the Agora backend powers a critical part of automating payments to millions of Shopify and WooCommerce products.
Tempo Labs
Peter Gokhshteyn
used this to buildTempo LabsTempo Labs
(927 points)
Incredible coding capabilities and ability to work with long context windows.
bolt.new
Eric Simons
used this to buildbolt.newbolt.new
(1,653 points)
Sonnet 3.5 from Anthropic AI
Needle
Onur Eken
used this to buildNeedleNeedle
(420 points)
Big shoutout to Anthropic for publishing the MCP framework! It's major leap forward towards connecting all the specialized functionality with LLMs. Needle API is now part of MCP library and can be used by AIs to retrieve information from unstructured datasets. We loved working with it.
Chat Thing
gemma.dev
used this to buildChat ThingChat Thing
(238 points)
Anthropic is highly integrated into Chat Thing! It's amazing.