FocuSee
ScreenStudio
Loom
Tella
ScreenRun
Clueso
Phia
Xnapper
Sinatra.dev
Devin by Cognition
GitHub Copilot
Cursor
Codex by OpenAI
Jules
Claude Code
Ara.so
FocuSee is a screen recording tool that comes with automatic zoom effects, various cursor styles, click effects, and polished backgrounds. With its user-friendly interface, FocuSee allows for easily creating captivating videos without manual editing. Using FocuSee, you can effortlessly create professional-looking videos in minutes, effectively capturing your audience's attention. Save your precious hours and extra effort on video editing.
How does FocuSee work?
- Simply record your screen with FocuSee's four screen recording modes: full screen, custom portion, specific window, or device.
- Once you've finished recording, your video will automatically have zooming effects applied. You can further customize your video by changing the mouse styles, adding click effects, removing filler words and silence, blurring sensitive information, adding automatic captions, and more.
- You can export your video as an MP4, GIF, or shareable link.
Innovative features of FocuSee: - Automatic zoom & cursor movement tracking - Auto-generated and editable captions - Highly customizable: various cursor styles & click effects, special spotlights, webcam & screen layouts - AI Virtual Avatar: High-quality and diverse virtual presenters keep video engaged without the need for a real person on camera, helping to solve the issue of camera shyness. - AI Audio Enhancement: One click to eliminate background noise to enhance voice clarity to produce studio-quality sound. - AI Silence and Filler Word Remover: Easily detect and remove silences and filler words (such as 'uh' and 'um') from recordings. - AI Subtitle Generation: Support for over 50 languages, generating corresponding subtitles instantly, simplifies the workflow, and enhances video accessibility. - AI Background Removal: Quickly address cluttered camera backgrounds, with options for virtual background replacement or transparent background output. - Multiple export & sharing options: 4K MP4, GIF, or instantly shareable links
FocuSee Sinatra.devNo features have been listed yet.
Sinatra.dev's answer:
It runs on the model subscription you already pay for. You assign a Linear issue or label a GitHub issue, the agent does the work in its own isolated sandbox and comes back with a pull request, and the model bill goes to your own Claude or Codex subscription or API key. We don't resell tokens or mark them up. The free tier is 5 tasks a day on your own credentials, every day, or 1 task a day where Sinatra covers the tokens. Pricing was the reason we built it in the first place, the agents we tried billed in credits you couldn't predict.
Sinatra.dev's answer:
Pricing and entry points. The paid plan is $20 per member per month for the hosted sandboxes and orchestration, with no markup on tokens because inference runs on your own Claude or Codex subscription or API key. And it works from Linear issues as well as GitHub, so a team whose tickets live in Linear can assign work to the agent the way they'd assign a teammate. It also reviews its own diff and posts the findings on the PR, and pushes revisions when a reviewer leaves comments. To be honest about the limits, it only works from GitHub and Linear issues today, and the agent never merges its own PRs, a person does that.
Sinatra.dev's answer:
Small engineering teams and solo founders with a backlog of well specified tickets they never get to: reproducible bugs, small features with acceptance criteria, the work that is clear enough to hand off but keeps getting pushed behind bigger things. Teams already working out of Linear or GitHub Issues who don't want another tool to learn, and who would rather run agent work on the Claude or Codex subscription they already have than open a new metered account somewhere else.
Sinatra.dev's answer:
I built a pet sitting marketplace with my wife. She always had features she wanted shipped and every one of them went through me, so I spent about three months building an agent she could assign tickets to instead. She writes the ticket, assigns it, and a PR comes back. She's now a big contributor to that codebase without me being in the way. I started handing it my own backlog too and eventually it turned into a product. It has been a lot harder to build than I expected, lots of edge cases, which is why it only works from Linear and GitHub issues right now and why the agent doesn't merge its own PRs, you still do that last part yourself.
Sinatra.dev's answer:
TypeScript throughout. A Fastify API for webhooks and OAuth, a Temporal worker that orchestrates each agent run, Next.js for the dashboard and the site, and Prisma on Postgres. Every task runs in its own Daytona sandbox that gets cloned, worked and torn down. Model access is bring your own: an Anthropic or OpenRouter API key, or a Claude or ChatGPT subscription connected to the workspace.
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