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Craqly
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Final Round AI - Interview Copilot
SubcueAI
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GitHub
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Craqly's answer:
Three practical reasons. First, no bot joins your call, so there is no consent popup for the other side and no procurement objection; recorder-bots like Otter or Fireflies add a visible participant. Second, you get help in real time (1-2 seconds) instead of a summary email twenty minutes after the moment has passed. Third, one app covers three jobs: sales calls with battle cards and objection handling, interviews with answers anchored in your resume, and meetings with automatic action items and recap emails. There is a free tier with no credit card, so you can test it on a real call before deciding.
Craqly's answer:
Craqly works during the call, not after it. Most meeting AI joins your call as a bot, records everything, and sends a summary once the conversation is over. Craqly listens to system audio directly (no bot joins, nothing appears on the guest list), and surfaces answers, objection counters, and action items in 1-2 seconds while you can still use them. The overlay is excluded from screen capture at the OS level, so when you share your screen the other side sees nothing. It also transcribes 18 languages with natural mid-conversation switching.
Craqly's answer:
People whose income depends on how a live conversation goes. Sales professionals in discovery, demo, negotiation and closing calls. Job seekers in behavioral, technical and coding interviews. Recruiters screening candidates. Managers running standups, planning sessions and retros who want action items captured without a notetaker bot in the room. Because the app transcribes 18 languages with mid-conversation switching, a lot of usage comes from bilingual teams that flip between English and a local language in the same meeting.
Craqly's answer:
Craqly is built by Fyrosoft Tech in Hyderabad, India. The team started with an interview copilot (LastRound AI) and kept hearing the same complaint from users about every meeting tool: the AI shows up after the call, when the summary can only tell you what you should have said. So we rebuilt the idea around the call itself: streaming transcription, context-aware suggestions in 1-2 seconds, and a desktop overlay that stays out of screen-share. Getting real-time latency low enough to be useful mid-sentence was the hard engineering problem, and it is the reason the product exists as a desktop app rather than another meeting bot.
GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.
Based on our record, GitHub seems to be more popular. It has been mentiond 2476 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.
"""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 / 7 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 / 8 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 / 13 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 / 20 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 / 21 days ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Cluely AI - Cluely AI is a real-time sales copilot that helps you talk smarter.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
LastRound AI - Real-time AI interview copilot โ stealth-mode desktop app that listens to your interview and delivers answers invisibly on screen share. Includes mock interviews, resume builder, and 5,000+ practice questions.
VS Code - Build and debug modern web and cloud applications, by Microsoft
SyntaxCue - SyntaxCue listens to your technical interview, transcribes it locally, and shows you an AI-generated answer suggestion โ using your own LLM API key. One-time purchase, macOS and Windows.