ScreenRun's answer

ScreenRun is used by product teams and designers that want to share engaging videos of their apps or screens to colleagues, followers or clients.

Threadbound's answer:

Small to mid-sized teams, mostly engineering and product teams, who already run Slack and Notion side by side and make a lot of decisions asynchronously in threads. It's built for teams that feel the pain of "wait, what did we actually decide?" a few times a week, not occasionally.

ScreenRun's answer

Many screen recording apps are either too simple (just record your screen) or complex, and none of them offered a way to quickly create engaging screen recordings by placing a few points over images or video clips to zoom and engage the person watching.

Threadbound's answer:

It started from a personal frustration: important decisions kept happening inside long Slack threads, and a week later nobody could reconstruct what had actually been agreed on, just an endless scroll and a pile of reactions. What began as a simple "summarize this thread" bot turned into a more serious project once it became clear that getting reliable, correctly-formatted output out of an LLM consistently is the actual hard part, not calling the API.

ScreenRun's answer

Everything is web-based using modern browser APIs for video encoding and decoding. ScreenRun also uses AI from OpenAI to create automatic transcripts from your audio and video assets. But everything runs in your browser, no cloud involved for total privacy.

Threadbound's answer:

Next.js and TypeScript for the app, hosted on Vercel, with Supabase for the database and auth. It integrates with the Slack Web API and the Notion API, uses Stripe for billing, and the LLM layer is built on the Vercel AI SDK with support for multiple providers (Claude, Gemini, and others) so it isn't locked to a single model.

ScreenRun's answer

Entirely web-based video creation too with zooms, webcam and automatic captions. And unlike many web-based products, ScreenRun runs entirely inside your web browser without sending any data to a server. This aspect is critical for total privacy in work contexts.

Threadbound's answer:

Most Slack summarizer tools give you a paragraph. Threadbound gives you a document: a summary, the decisions that were made with the reasoning behind them (when it was actually stated in the thread), and any action items pulled out as checkboxes, published straight to Notion. It's also built for reliability rather than just a single API call, if one model returns a malformed or low-quality result, it automatically retries or falls back to another model rather than publishing something broken.

ScreenRun's answer

ScreenRun is so simple to use! And because it's web-based, you can access it from anywhere, including iPhone or Android.

Threadbound's answer:

General AI assistants inside Slack (like Notion's own Custom Agents or Atlassian Rovo) are built to answer questions and search your workspace on demand. Threadbound does one thing specifically: turn a single thread into a permanent, structured record the moment someone reacts to it, no prompting, no asking the AI a question, no separate workflow to remember. It's a single emoji react, not a tool you have to learn.