ColdCALR: AI cold-call roleplay and training tool where reps practice scripts against AI prospects and get scored on technique. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist ColdCALR when new reps rehearsing cold-call scripts before dialing real prospects matters most, and Minutes when recording and transcribing calls locally for users who refuse cloud meeting tools matters most. Try them side by side on real calls before deciding — needs vary by team.
AI cold-call roleplay and training tool where reps practice scripts against AI prospects and get scored on technique.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
ColdCALR is an AI-powered cold-call training tool that simulates realistic outbound calling scenarios so sales professionals can practice their scripts and objection handling against AI-generated prospects. The AI plays the role of a prospect that raises objections, asks questions, and reacts in a way meant to mirror real conversations, letting reps rehearse repeatedly on demand without scheduling a live partner. After a practice session, ColdCALR provides objective, automated feedback and scoring on cold-calling technique and objection handling, helping reps see where their delivery and responses can improve. The tool includes a script builder for creating and refining cold-calling scripts, an analytics dashboard for tracking progress and appointment-setting metrics over time, and industry-specific templates with prebuilt scenarios for sectors such as real estate, SaaS, insurance, and recruiting. Notably, ColdCALR focuses on practice against AI rather than recording real prospect calls, which the product positions as a way to sidestep dual-consent recording concerns. It is aimed at individual reps, account executives, sales teams, and training directors who want low-pressure, repeatable cold-call practice. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Minutes, built by Mat Silverstein, is an open-source, privacy-first conversation memory layer that captures meetings, calls, voice memos, and dictation and turns them into searchable, AI-accessible notes. It transcribes audio locally using whisper.cpp or Parakeet so audio never has to leave the machine, performs speaker diarization to separate voices, and extracts decisions and action items, writing everything to the user's own disk as plain markdown files with structured YAML frontmatter. Because the output lives in a local folder (for example ~/meetings/), the notes can sync across devices through iCloud, Dropbox, or Google Drive and can be read directly by AI tools. A central design goal is integration with AI assistants: Minutes runs an MCP server exposing a large set of tools so coding and chat agents such as Claude, Codex, Gemini CLI, and others can query past conversations, track relationships across meetings, and surface what was promised to whom. It ships as a macOS desktop app with a menu-bar recorder and AI assistant, plus a cross-platform command-line interface, and includes a dictation hotkey mode. The project is MIT licensed, installable via Homebrew, and actively maintained with frequent releases, making it a fully self-hostable option for people who want durable, private, searchable meeting memory rather than a cloud subscription. Pricing varies by plan. Check the official website for current pricing.
Best suited for
ColdCALR is a free tier with paid upgrades (freemium); Minutes is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | ColdCALR | Minutes |
|---|---|---|
| Core capability | AI roleplay simulations of cold-call conversations with responsive AI prospects | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | Automated scoring and feedback on cold-calling technique and objection handling | Speaker diarization to attribute who said what |
| Team usage | Script builder for creating and refining cold-call scripts | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | Analytics dashboard tracking practice progress and appointment-setting metrics | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Industry-specific scenario templates for real estate, SaaS, insurance, recruiting, and more | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | On-demand, around-the-clock practice without a live partner | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
ColdCALR
Choose ColdCALR if you need new reps rehearsing cold-call scripts before dialing real prospects — strengths include low-pressure environment for repeatable cold-call practice.
Minutes
Choose Minutes if you need building a private, searchable memory of meetings and voice notes that ai agents can query — strengths include fully local-first and mit licensed, keeping conversation data private and portable.
ColdCALR
Minutes
It depends on your workflow. ColdCALR is strong for new reps rehearsing cold-call scripts before dialing real prospects, while Minutes is strong for building a private, searchable memory of meetings and voice notes that ai agents can query. Both transcribe and summarize meetings.
ColdCALR is a free tier with paid upgrades and Minutes is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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