Notionlytics and Dashboards by Equals both launched in Data & Analytics. Both pulled enough community interest to warrant a comparison. The data below shows how each performed and where they overlap.
Side-by-side comparison of Notionlytics and Dashboards by Equals based on community engagement data.
Advanced analytics for Notion pages
Business intelligence, but dead easy
Notionlytics and Dashboards by Equals both launched in Data & Analytics. Both pulled enough community interest to warrant a comparison. The data below shows how each performed and where they overlap.
| Category | Notionlytics | Dashboards by Equals |
|---|---|---|
| Analytics | Yes | - |
| Artificial Intelligence | - | Yes |
| Business Intelligence | - | Yes |
| Data & Analytics | Yes | Yes |
| Notion | Yes | - |
| Productivity | Yes | - |
| SaaS | Yes | - |
Notionlytics leads on raw interest score. Notionlytics leads on engagement ratio. Notionlytics leads on both metrics. That doesn't happen often.
These products share 1 categories: Data & Analytics. Moderate overlap suggests they target related but distinct use cases.
Notionlytics is also tagged in Notion, Productivity, SaaS, which Dashboards by Equals isn't. That suggests Notionlytics positions itself more broadly or targets an adjacent audience.
Dashboards by Equals has unique category tags in Artificial Intelligence, Business Intelligence. Different positioning can mean a different buyer profile, even within the same space.
Notionlytics launched Sep 2023. Dashboards by Equals launched Oct 2023. Both launched the same year, meaning they faced similar market conditions and competition levels.
Pick Notionlytics if you want the product with the larger community behind it; sustained discussion and active users are your priority; you need something that also covers Notion.
Pick Dashboards by Equals if community size matters less to you than engagement depth; you need something that also covers Business Intelligence.
Notionlytics: 360° Notion analytics for company wikis, community knowledge bases, and shared documents. Monitor key metrics + collect direct feedback through interactive widgets. Find out what's helpful, and what isn't, without the guesswork.
Dashboards by Equals: Instantly turn spreadsheets into dashboards powered by live data and auto-distribute up-to-date reports to Slack, email, and Slides - all in a few clicks. Drag and drop to add cells, tables, and charts. Add context with text and AI-generated summaries.
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.
Not yet. Current comparisons use launch-period data only. Post-launch tracking is on our roadmap.
Generally, yes. Engagement ratio is hard to fake. A product can generate artificial interest, but sustained discussion threads require people who actually used the product and had something to say about it.
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.