vidyo.ai Reviews

GitHub Reviews

1. Reinhard

   · Boss at CLOUD Meister · over 5 years ago
   perfect 4 open Source

vidyo.ai mentions (5)

• AI powered website that only takes the best parts of an entire video

  Sounds like Vidyo.ai. I haven't had much success with it, but someone I know uses it a lot. Source: over 2 years ago

• Any decent AI tool for marketing videos?

  Https://vidyo.ai/ (new, not the best). Source: over 3 years ago

• Create Better Content with These AI Tools

  Vidyo is an AI tool for making short-form videos from long-form content. It uses AI to help you create shorter, socially ready clips from your long videos, saving you 90% of the time and effort. - Source: dev.to / over 3 years ago

• Vidyo.ai Pro 300min per video upload duration or total mins allowed??

  Im looking into getting a vidyo.ai subscription, seems reasonable but I want to insure that pro is Not limited to 300 Mins of total upload duration per month and that it is 300 mins of video Length per upload. Source: over 3 years ago

• 6 AI tools that can help entrepreneurs, marketers and content creators with social media content

  5) Viral short clips: turn any long videos into Tiktok, Youtube, and Instagram-friendly short clips. Source: over 3 years ago

GitHub mentions (2473)

• Superlogical – Mitchell Hashimoto

  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:

          Host *.

  - Source: Hacker News / 4 days ago

• Your Agent's Confidence Score Is Not a Probability

  All of this assumes you can actually inspect what the agent did — 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 / 5 days ago

• Foreman 101: agentic coding as Kubernetes resources

  # git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / 5 days ago

• Stop Judging Every Run: Eval Sampling Is a Budget Decision, Not a Coverage One

  This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output — the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 15 days ago

• Claude Code permission rules: how allow, deny, and ask actually match

  The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 16 days ago