Back to today
toolrisingAI Tools

Spellar 3.0

A meeting assistant that remembers context across sessions for smarter follow-ups

Surfacing on:ph

Hot score

80/100

Tracking since 2026-05-15. Saturation 38%.

The sections below are AI-summarized from the source platforms listed at the bottom. Always verify against the original sources before acting on the information.

What is Spellar 3.0?

Based on community signals so far, Spellar 3.0 is a meeting assistant tool designed to maintain persistent memory across multiple sessions. This means it can recall past discussions, decisions, and context from previous meetings, enabling more coherent and personalized follow-ups. The problem it solves is the common frustration of repeating information or losing track of action items across recurring meetings. By keeping a running memory, Spellar 3.0 aims to make meetings more efficient and reduce the need for manual note-taking. It appears to be an evolution of earlier versions, with enhanced memory capabilities. As a tool in the meeting assistant space, it competes with other AI note-takers and summarizers but differentiates itself through its persistent memory feature. However, specific details about its implementation, integrations, and pricing are still emerging.

How to use this signal

Three ways a creator, builder, or agent can put Spellar 3.0 to work today. Each comes with a copy-paste prompt for ChatGPT or Claude.

  1. Write a launch / coverage article

  2. Add to competitive monitoring

  3. Try it / share take

Key features

  • Persistent memory across meetings
  • Context-aware follow-up suggestions
  • Automatic meeting transcription
  • Action item extraction
  • Searchable meeting history
  • Integration with calendar apps

Who should use this

Professionals who attend recurring meetings and need to track decisions, action items, and context without manual note-taking, such as project managers, team leads, and executives.

Comparable tools

Other tools tracked by trendsmeter in the same space.

Where it's surfacing

Source trail

1 source attached to this trend.

Trend velocity

rising

Saturation

38%

Schema

Word v1

Use this trend

Share the report, or copy a prompt that turns this signal into a useful brief.

Post to X

Track tomorrow's trend signals before they settle.

The daily feed, API, and MCP endpoint all read the same schema.

View OpenAPI