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ContractDecoder helps freelancers, small business owners, and small teams understand contracts before signing or replying.
Users can upload or paste an agreement and get a plain-English review workspace with key terms, obligations, deadlines, items to review, practical questions, possible clarifying wording, and a draft email they can edit before sending.
It is useful for client agreements, vendor contracts, NDAs, service agreements, lease agreements, and project terms where the user wants a clearer starting point before going back to the other side or seeking further review.
ContractDecoder is free during early access. General information only. Not legal advice.
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ContractDecoder's answer:
ContractDecoder is a good fit for freelancers, small business owners, creators, consultants, and small teams who want a practical first pass on an agreement without learning a legal-tech platform. The output is organized around what the user needs to understand, check, ask, and discuss before signing or replying. It is also free during early access.
ContractDecoder's answer:
ContractDecoder is for freelancers, consultants, creators, small business owners, and small teams reviewing client agreements, vendor contracts, NDAs, service agreements, lease agreements, or project terms. It is especially useful when someone wants a clearer starting point before going back to the other side or seeking professional review.
ContractDecoder's answer:
ContractDecoder is a web application built with JavaScript and hosted on Netlify, with Supabase for authentication and saved workspaces, and OpenAI-powered analysis for contract review outputs.
ContractDecoder's answer:
ContractDecoder is built for the moment before someone signs or replies to a contract. It does not just summarize the document. It turns the agreement into a plain-English workspace with key terms, obligations, deadlines, review items, practical questions, possible clarifying wording, and a draft email the user can edit before responding.
ContractDecoder's answer:
ContractDecoder was built around a simple problem: many people are expected to review contracts before signing, but they do not always have the time, budget, or legal background to turn dense contract language into practical questions. The goal is to help users move from "I am not sure what this means" to "Here is what I need to ask."
Based on our record, Google Scholar seems to be more popular. It has been mentiond 1005 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To learn about sentiment analysis, I'd look for related datasets and then look at recent code, e.g. here: https://www.kaggle.com/datasets?search=sentiment+analysis For more LLM-specific stuff, you can pick some agent trace dataset on https://huggingface.co/datasets?format=format%3Aagent-traces and check out what people are doing with it (usually linked on the right when you click on a dataset). And of course... - Source: Hacker News / 15 days ago
Https://arxiv.org/abs/2201.02177 This paper is not hard to find; it's the first result when you search for "grokking" with https://scholar.google.com. - Source: Hacker News / 6 months ago
Definitely not the first AI generated font. One can find an enormous amount of research in AI font generation on https://scholar.google.com/ going back many years. This could possibly be the first one that used Nano Banana though. - Source: Hacker News / 9 months ago
> Has google completely stopped working for anyone else? Yes. However, I found that https://scholar.google.com still works perfectly well. It feels just as the old Google without all the crap they've been adding in the last years. - Source: Hacker News / almost 2 years ago
He links to a meta analysis* that says CBT does cure depression well enough and does so consistently for many decades without any declines in effectiveness. Later for some reason, he says no single mental illness was ever cured. It seems the main point of the article is to say that nothing except "nudges" ever worked in psychology - this is nonsense that he himself contradicts as I mentioned above. Just use... - Source: Hacker News / almost 2 years ago
PubMed.gov - PubMed comprises more than 29 million citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.
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SCI-HUB - It provides mass and public access to tens of millions of research papers
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DoNotPay - The World's First Robot Lawyer. The DoNotPay app is the home of the world's first robot lawyer. Fight corporations, beat bureaucracy and sue anyone at the press of a button.
