Darwin – Free website analytics (+more) for Startups
The supply network for agentic commerce.
Darwin – Free website analytics (+more) for Startups launched on July 28, 2021 with 6 votes, #1,578 of 3,502 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 5 years on.
What it does
The search engine for agentic commerce.
Discover AIs, product capabilities, and service capabilities in one place. Darwin connects what is available to what you want to get done. Darwin indexes public AIs and the capabilities, products, services, and protocols they expose. Search answers what can satisfy an intent and returns the exact AI, capability, and revision behind each match. That means an agent can inspect the evidence, preserve the selected result, and hand it to Act without silently rerunning discovery or swapping in a different provider. Act is the separate execution boundary. It coordinates durable work, conversations, clarifications, and approvals under the signed-in user’s real authority. Authentication identifies…from darwin.so
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Agentplace2024 · agentplace.io · ▲1,015Garry Tan posted a video this week about what he calls 20x companies. The idea is that small teams beat incumbents many times their size by automating everything internally, not just one or two functions. This alpha is real, and I think it is underhyped tbh. But here's the honest part, building agents is hard, expensive and most of the scaffolding we make would be obsolete with a new labs release. at the same time models are not quite there and they are not keeping up with "coding is dead" and "knowledge workers are doomed". Pushing them beyond what they can actually do reliably just boils…
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Hey HN! I've been working on a project called Darwin that I'm thrilled to share with you. Darwin is essentially your GitHub agent powered by large language models (LLMs). It checks out your projects, understands them through natural language prompts, and automates tasks such as fixing issues, documenting code, reviewing pull requests, and more. What drove me to create Darwin was a desire to harness the power of LLMs in a way that's seamlessly integrated with the tools I use daily. The motivation came from my curiosity about what could be possible when writing code that understands code.…
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