LastRound AI
Final Round AI - Interview Copilot
Cluely AI
LockedIn AI
MigMig
Zaasmi
SyntaxCue
SubcueAI
GitHub
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BitBucket
VS Code
Git
Treehouse
Pantheon
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LastRound AI is a real-time AI interview copilot built to help candidates land their dream jobs at top tech companies. The desktop app (Mac & Windows) uses native OS-level rendering to overlay live answers on your screen โ completely invisible to screen-share APIs. Your interviewer sees a clean video call; you see context-aware AI guidance.
Free to start, no credit card required. Plans from $19/month โ typically a fraction of competitors like Final Round AI, LockedIn AI, Cluely, and Parakeet AI.
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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 a lot more popular than LastRound AI. While we know about 2476 links to GitHub, we've tracked only 1 mention of LastRound AI. 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.
The single biggest thing that helped me wasn't more problems, though. It was practicing out loud under something close to real conditions. Solving quietly at your desk does nothing for the moment a stranger is watching and your mind goes blank. Once I started running mock interviews where I had to speak my answers, that gap finally closed. I've been using LastRound AI for it lately. It runs voice mock interviews... - Source: dev.to / 2 months 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 / 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
Final Round AI - Interview Copilot - AI interview copilot and realistic mock interviews to help you land the job
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