Anarlog: Open-source, local-first AI meeting notepad (formerly Hyprnote) by Fastrepl that records and summarizes private meetings on your own device with no bot. Great Question: All-in-one UX research platform combining recruitment, scheduling, and AI analysis of interviews into a connected research repository. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Anarlog when engineers and developers wanting private, bot-free meeting notes matters most, and Great Question when auto-summarizing and tagging interview sessions with ai matters most. Try them side by side on real calls before deciding — needs vary by team.
Open-source, local-first AI meeting notepad (formerly Hyprnote) by Fastrepl that records and summarizes private meetings on your own device with no bot.
All-in-one UX research platform combining recruitment, scheduling, and AI analysis of interviews into a connected research repository.
Anarlog is an open-source, local-first AI meeting notetaker developed by Fastrepl, Inc., the team behind the project previously known as Hyprnote and Char. It is positioned as an open-source alternative to cloud meeting-notes tools and is designed for people who want to keep meeting data under their own control. Instead of sending a bot into a call, Anarlog captures system audio directly on the user's computer, transcribes it locally, and merges the transcript with short notes the user jots down during the meeting to produce structured, editable summaries with action items. Audio, transcripts, and notes are stored as files on the local disk rather than in an external service, and users can choose between running local AI models or supplying their own API keys for cloud processing. The application is available for Apple Silicon Macs and its codebase is published on GitHub under a GPL license, so it can be inspected, forked, and self-hosted. Anarlog is best for engineers, privacy-conscious professionals, and teams that want bot-free meeting notes with full ownership of their data. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Great Question is a UX research platform that consolidates participant recruitment, study setup, and AI analysis into a single workflow for product managers, designers, UX researchers, and research operations teams. On the recruitment side it offers access to a large participant panel, the ability to build customer panels from CRM systems, automated screening, eligibility rules, incentive payments, and a research calendar for scheduling one-on-one, collective, or round-robin interviews. For conducting research it supports moderated user interviews, AI-moderated interviews, unmoderated prototype testing with Figma, surveys, card sorting, tree testing, and focus groups, with observer rooms for live team participation. After sessions, Great Question's AI analysis generates summaries, chapters, highlights, and tags, and builds a searchable research repository where transcripts, themes, highlight reels, and insights are connected so teams can query their entire body of research. It offers a wide range of integrations and an MCP that lets users run and analyze research from AI tools, and meets enterprise requirements with SOC 2 Type II, GDPR, and HIPAA compliance. The platform aims to take research from recruitment through synthesis without stitching together multiple tools. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Anarlog is a free tier with paid upgrades (freemium); Great Question is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Anarlog | Great Question |
|---|---|---|
| Core capability | Bot-free capture via local system-audio recording | AI analysis generating summaries, chapters, highlights, and tags from interviews |
| Standout feature | Local transcription with notes merged into structured summaries | Searchable research repository connecting transcripts, themes, and insights |
| Team usage | Data stored as files on the user's own device | Participant recruitment from a large panel plus CRM-based custom panels |
| Integrations | Choice of local AI models or bring-your-own API keys | Scheduling, screening, eligibility rules, and incentive payments |
| Languages & capture | Open-source codebase available on GitHub | Moderated, AI-moderated, and unmoderated study methods including prototype testing |
| Best-fit workflow | Action-item extraction from meeting notes | 50+ integrations plus an MCP for running research from AI tools |
Anarlog
Choose Anarlog if you need engineers and developers wanting private, bot-free meeting notes — strengths include open source with a publicly available codebase.
Great Question
Choose Great Question if you need recruiting participants and scheduling user interviews end to end — strengths include handles recruitment, study execution, and analysis in one platform.
Anarlog
Great Question
It depends on your workflow. Anarlog is strong for engineers and developers wanting private, bot-free meeting notes, while Great Question is strong for recruiting participants and scheduling user interviews end to end. Both transcribe and summarize meetings.
Anarlog is a free tier with paid upgrades and Great Question is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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