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Hello
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Hello GitHubBased on our record, GitHub seems to be a lot more popular than Hello. While we know about 2476 links to GitHub, we've tracked only 6 mentions of Hello. 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.
Me too, the problem might be that the costs to run queries might be really high? I made some back-of-the-envelope calculations as https://beta.sayhello.so (based on ChatGPT) results are often better than Google, and the energy alone will be really high for the amount of queries I do in Google. No idea how to make this sustainable. Hopefully I'm wrong, or more efficient... - Source: Hacker News / over 3 years ago
This is great! I've been using https://beta.sayhello.so/ for this so far. Might give you some inspiration/ideas. - Source: Hacker News / almost 4 years ago
The majority of his limited comments are about the site, and he referenced another very similar site https://beta.sayhello.so, which uses the same Made with [Heart Emoji], slightly different layout, same domain registrar and registered 2 months between. Plus someone (guess who, wasnt me or you!) gave him reddit silver for this downvoted post with no comments. Source: almost 4 years ago
Off-topic: I saw this thing a few days ago, launched in YC, https://beta.sayhello.so/ maybe it will take off, you might appreciate it. Source: about 4 years ago
Hello and you.com are alternatives. Source: about 4 years ago
"""Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 4 days ago
# video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 5 days ago
Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 10 days ago
Is published at https://github.com/.keys so an SSH server to which you connect could do a reverse lookup. This is the reason why my ~/.ssh/config has those 2 lines at the end:- Source: Hacker News / 17 days agoHost *.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / 18 days ago
Houseparty - Brining empathy to online communication.
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