Anthropic

Anthropic

Anthropic AI
9 reviews36 shoutouts
3.1K followers

Maker Shoutouts

Testimonials from top launches

Trending
Oleg Sobolev
used this to buildExtrovertExtrovert
(572 points)
I spend more time with Claude than with my family!
Shubh Gupta
used this to buildEverTutor AI
(1,195 points)
EverTutor Live responses have been trained using Anthropic's advanced AI models, making ET Live much more stable in terms of responses and handling interactions.
n8nChat
Cameron Wills
used this to buildn8nChatn8nChat
(191 points)
Anthropic's Claude models deliver exceptional reasoning capabilities for complex workflow generation while maintaining strong guardrails. What makes them better is their ability to understand nuanced technical instructions with fewer hallucinations and their long context windows (up to 200K tokens), which allows the extension to generate more complex, multi-node workflows in a single interaction.
MGX (MetaGPT X)
Mike
used this to buildMGXMGX (MetaGPT X)
(3,107 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.
Databutton
Milo AI
used this to buildDatabutton MCPDatabutton
(385 points)
Best of the best for this stuff
Airtable AI Assistant
Howie Liu
used this to buildAirtable AI AssistantAirtable AI Assistant
(190 points)
Claude's ability to understand user context and intent makes our assistant truly helpful. It excels at identifying what users are actually trying to accomplish. Claude's exceptional understanding of user intent makes our assistant feel genuinely helpful with database tasks. Their technology excels at identifying what users are actually trying to accomplish and providing intuitive solutions.
Zapier
Tal Peretz
used this to buildZapier MCPZapier
(649 points)
Huge thanks to the team at @Anthropic. Claude’s tool use makes it a perfect fit for MCP—enabling AI agents to safely and reliably take real-world actions across 30,000+ Zapier actions.
Erbil Yaman
used this to buildTeamble AITeamble
(1,179 points)
Some of the best-advanced reasoning models in the market fuel our custom AI agent.
Kive
Olof Lindh
used this to buildKive StudiosKive
(121 points)
For thinking, vibing and building
Wordware
Kamil Ruczynski
used this to buildWordwareWordware
(7,627 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.
Solver
Mark Gabel
used this to buildSolverSolver
(408 points)
Solver combines its own proprietary models with the best of the frontier models, and Anthropic has been doing amazing things lately.
Webdraw
Rafael Crespo
used this to buildWebdraw BetaWebdraw
(1,090 points)
Claude has been a key part of our AI stack. Anthropic AI is pushing the boundaries of what LLMs can do.
IKI.AI
Ivan Ilin
used this to buildIKI.AI 2.0IKI.AI
(632 points)
Great Claude 3.5 Sonnet model!
Qodo (formerly CodiumAI)
Itamar Friedman
used this to buildQodo GenQodo (formerly CodiumAI)
(532 points)
Anthropic's Model Context Protocol (MCP) provided a standardized protocol that not only allowed us to add new tools quickly but also enabled our users to bring their own custom tools to the platform.
Internet.io
Internet Tech
used this to buildInternet.ioInternet.io
(164 points)
We used this for of the answer generators.
Writesonic
Samanyou Garg
used this to buildSEO AI AgentWritesonic
(810 points)
One of the best LLMs.
Meilisearch
Quentin de Quelen
used this to buildMeilisearch AIMeilisearch
(231 points)
Thanks for MCP, making compatibility easy with your incredible Claude models!
Vibor Cipan
used this to buildLovable
(2,014 points)
One of the main technologies we use for powering Lovable, even more performant with latest models.
Cuckoo
Yong Hee Lee
used this to buildCuckooCuckoo
(367 points)
Claude, recursively edits transcripts for tone and clarity.
Kommunicate
Manab Boruah
used this to buildAI-Powered Email Ticketing - KommunicateKommunicate
(200 points)
Anthropic's reasoning models make it easier to train bot on customized needs.