
Blooket
Pingo
CloudVOTE
schnaq
Presentii
SlideLizard
Verso
Imakiku is an audience response system for real-time voting, posting comments, and surveying.

Sli.do
Mentimeter
Pubble
Pigeonhole Live
Smarter, smoother live events. ReactLive auto-answers repeat questions from the speaker's transcript, tracks audience sentiment minute-by-minute, drafts polls in the moment, and writes the post-event recap — so your team focuses on the conversation

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | imakiku.com | reactlive.com |
| Pricing | — | |
| Company | — | Startup from Ireland · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Imakiku yet.
ReactLive — The AI Event Co-Pilot ReactLive is an AI audience engagement platform for live, in-person, and hybrid events. Think of it as the AI meeting copilot you know for video calls — but built for the room. Where tools like Read.ai join your Zoom or Teams call, ReactLive runs your town hall,...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
Catch What Your Students Think in Real-Time with Imakiku.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Imakiku and ReactLive.
ReactLive's answer:
ReactLive doesn't just collect questions or transcribe a room — it answers, in real time, grounded in what was actually said.
The key differentiators:
It owns a venue nobody else does. Meeting copilots (Read.ai, Otter) only work inside video calls — they go blind the moment you're on a stage or in a room. Q&A tools (Slido, Mentimeter, Pigeonhole) work in the room but are just question-collection boxes. ReactLive is the only one that brings a true AI copilot to live, in-person, and hybrid events.
The Auto-Answer Loop. It captures your live speaker and documents as cited, timestamped context and answers audience questions against it in under a second — automatically resolving the repeats and the quiet-majority long tail that a human moderator never gets to. Everyone else makes the audience wait on a moderator; ReactLive answers most of them before the moderator even looks.
Answers in your voice, on your rules. A single config file (SOUL.md) defines tone, red lines, and escalation — so the AI speaks as you, with a human able to override anything. It's grounded and cited, not a black box.
It closes the loop after the event. Every attendee leaves with a summary, the full answered queue, insights, and a searchable transcript — the knowledge doesn't walk out with the room.
Radically low friction. Under 90 seconds to your first event, QR-first for the audience (no app, no account), one-line embed anywhere, plus an MCP connector so agents like Claude or Cursor can call it — with a genuinely free tier and usage-based pricing instead of per-seat enterprise contracts.
ReactLive's answer:
ReactLive beats different competitors for different reasons. Here's how we see it:
vs. Slido, Mentimeter, Pigeonhole (the Q&A/polling tools). These collect questions and let a moderator pick a few; everyone else is ignored. ReactLive answers — automatically, in under a second, cited to what the speaker actually said. Choose ReactLive if you're tired of the quiet 80% never being heard, repeat questions clogging the queue, and a "we'll follow up" that never happens. Same live-event job, but the AI does the heavy lifting instead of a scrambling moderator.
vs. Read.ai, Otter, Fireflies (the meeting copilots). These only work inside a Zoom/Teams/Meet call — they can't see a stage or a live audience. If your event happens in a room or hybrid, they simply don't work. ReactLive is the only copilot built for the physical and hybrid room. (They're complementary, not competitive: use Read.ai for your calls, ReactLive for your events.)
vs. doing it manually / a human moderator. ReactLive runs four jobs in parallel that no single person can — answering the long tail, reading sentiment in real time, drafting timely polls, and pushing announcements — while your team stays in the actual conversation.
The reasons that tip a decision:
One-sentence version: Choose ReactLive because it's the only tool that actually runs your live event with you — answering your audience in real time from cited context, in your voice — where Q&A widgets only collect questions and meeting copilots can't see the room at all.
ReactLive's answer:
Event hosts and organizers — comms and internal-communications teams, event and community managers, conference and webinar producers, educators, and creators/podcasters — anyone who runs live, in-person, or hybrid events (town halls, all-hands, conferences, AMAs, webinars, classrooms) and wants their audience's questions answered in real time.
ReactLive's answer:
While the platform itself is our newest AI-native release, our team spent years building and powering the audience engagement engines behind some of the world's most demanding live environments—including all Microsoft High-Priority events (Build, Ignite), CES, and the United Nations. Crucially for a major newsroom, our team also delivered the core live blogging and Q&A infrastructure that The Washington Post still relies on to power their weekly reader threads.
We built ReactLive as the next logical evolution of that work, specifically designed to solve the heavy moderation burden of hybrid media panels:The Auto-Answer Loop: ReactLive tracks your live panel audio in real time, automatically drafting cited answers to repetitive background questions in the chat, filtering out noise so your moderators can focus on prime audience queries. Newsroom-Grade Control (SOUL.md): Guard and enforce the exact editorial standards, tone constraints, and red lines via a version-controlled markdown file that dictates AI behaviour.
Zero Friction for Attendees: No app downloads or account logins. Online stream viewers and physical front-row ticket holders scan a single QR code to enter the interactive space in three seconds.
Share your experience with using Imakiku and ReactLive. For example, how are they different and which one is better?
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