Comparing Butter to Tabl 1.0 means looking past marketing into data. Both target Meetings users. Their community reception tells different stories.
Side-by-side comparison of Butter and Tabl 1.0 based on community engagement data.
All-in-one tool for the smoothest virtual workshops 🧈
A multi-player web browser
Comparing Butter to Tabl 1.0 means looking past marketing into data. Both target Meetings users. Their community reception tells different stories.
| Category | Butter | Tabl 1.0 |
|---|---|---|
| Meetings | Yes | Yes |
| Productivity | Yes | Yes |
| Remote Work | - | Yes |
| Streaming Services | Yes | - |
| Web App | Yes | - |
Finally, being able to try the app in our meetup. Here are some thoughts. + avoid switching from calling app and miro + nice onboarding + smooth and abundant shortcuts - too small speak view, - not ideal for small screen - queue and posing question is a bit confusing - shortcut is overlapped with mi...
Awesome product! I wonder if could integrate Akkadu Multilingual SDK (rsi.akkadu.com) allowing users to host multilingual meetings with AI Translated Subtitles or Professional Interpreters
?makers do you guys plan on making a dark mode theme soon?
Thanks @gabe for hunting Tabl! Hi Product Hunt👋 I'm Yamato, building Tabl from Tokyo, together with @sho_yasuda_undesk . AI’s making everything faster—but personal productivity isn’t enough anymore. If you can’t move fast as a team, you can’t win. When we opened the waitlist for our multi-player bro...
Hi there! I’m one of the makers of Tabl, together with @yamatokaneko From the start, we’ve been a remote-first team. As we started building Tabl, it quickly became our central hub for work. Every web app you open through it becomes multi-player. I’ve been a long-time Brave user. I can’t browse the i...
Tabl sounds like an innovative approach to team productivity! 🎉 I'm curious about the escape game-style onboarding—what inspired that idea? Also, how do you ensure that it effectively engages all team members, especially those who might not be as tech-savvy? 🤔
Butter leads on raw interest score. Butter leads on engagement ratio. Butter leads on both metrics. That doesn't happen often.
These products share 2 categories: Meetings, Productivity. Moderate overlap suggests they target related but distinct use cases.
Butter is also tagged in Streaming Services, Web App, which Tabl 1.0 isn't. That suggests Butter positions itself more broadly or targets an adjacent audience.
Tabl 1.0 has unique category tags in Remote Work. Different positioning can mean a different buyer profile, even within the same space.
Butter launched Apr 2021. Tabl 1.0 launched Jun 2025. Butter has had more time to iterate and build a user base. Tabl 1.0 had the advantage of launching into a more defined market with clearer user expectations.
Butter has a 0.55 engagement ratio (exceptionally high), based on 452 discussion threads across 820 interest points. That ratio puts it in the top tier for Meetings products. People who noticed it had opinions about it.
Tabl 1.0 has a 0.15 engagement ratio (below average), based on 113 discussions across 779 interest points. The low ratio suggests a launch that got attention but didn't convert that attention into sustained interest.
The 0.41 gap in engagement ratio is significant. Butter generated substantially deeper community discussion per interest point.
Within the Meetings category (427 total products), Butter ranks #3 and Tabl 1.0 ranks #4 by interest score. Butter sits in the top 10 for the category.
Butter is in the top 1% of Meetings by interest. Tabl 1.0 is in the top 1%.
Pick Butter if you want the product with the larger community behind it; sustained discussion and active users are your priority; you value stability and a longer track record; you need something that also covers Web App.
Pick Tabl 1.0 if community size matters less to you than engagement depth; you prefer newer tools with fresher tech; you need something that also covers Remote Work.
Butter: Put your energy back into having delightful and collaborative sessions all from one place with Butter. 🧈😻 Comes with next-level breakouts, agenda, polls, Miro & Google Drive, fun reactions, sounds, and more! Book a demo here: http://btr.to/Orientation 🎉
Tabl 1.0: What if we could bring Figma-like collaborative experience to any app, on any tab? Tabl is your second browser designed for high-speed work.
These products also compete in the Meetings, Productivity categories:
Cap — Beautiful screen recordings, owned by you. 100% open source. (Interest: 1,064, Engagement: 0.08)
Internet Is Beautiful — Discover the most interesting, weird and awesome websites (Interest: 544, Engagement: 0.17)
Scalar Insight - Meeting cost - calendar — Time is money! See the cost of your meetings in G. Calendar (Interest: 412, Engagement: 0.33)
CoPilot.Live — Your personalised AI assistant (Interest: 408, Engagement: 0.49)
Outlit — AI agents for your SaaS deals (Interest: 373, Engagement: 0.23)
Slashit App — Turn your common text into shortcuts and work faster with AI (Interest: 327, Engagement: 0.23)
Automatically. We compare products that share at least one category and have similar interest scores. Products too far apart in traction don't make for useful comparisons.
No. Interest is launch-day attention. Engagement ratio is a better quality signal. The product with more discussions per interest point usually has stronger product-market fit.
How directly these products compete. Three or more shared categories means they're going after the same user. One shared category means they approach the space from different angles. Zero overlap and they probably shouldn't be compared.
Comparisons are generated automatically when two products have enough data overlap. If the pair you want isn't here, the products might be in different categories or too far apart in engagement.
Either the product didn't meet our engagement threshold, or it doesn't share enough category tags with the other product to generate a meaningful comparison. We'd rather show no comparison than a misleading one.
Each product's data reflects its launch period. The comparison shows both products' engagement metrics from when they launched. The build date at the bottom of the page shows when the index was last refreshed.