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.

Sightivo's answer:

AI-visibility tools stop at measurement — they tell you which answers mention you and leave the next step to you. Sightivo turns each gap into a concrete opportunity with the page, the contact route and the prepared submission details, so a founder without an agency can act on it the same day.

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.

Sightivo's answer:

Sightivo covers both halves of getting found: classic SEO signals and AI answer visibility, tracked against the same set of prompts and keywords. Instead of only reporting where you stand, it finds the specific directories, listicles and communities that shape those answers and hands you the ranked list of places worth pursuing.

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.

Sightivo's answer:

Founders, solopreneurs and small marketing teams doing their own SEO and visibility work — bootstrapped startups that can't justify agency fees or enterprise SEO tools but still need to be found in search and in AI answers.

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.

Sightivo's answer:

It started from understanding how founders build amazing products that people can't find, and wanting to solution around that.

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.