197 All-Time Launches
9 2026 Launches
0.25 Avg Engagement
-80% YoY Change

197 Data Visualization launches in five years. That's enough data to see real patterns. The numbers below show whether this category is growing, who's winning, and where the gaps are.

Launches Per Year

27 2022
64 2023
53 2024
44 2025
9 2026

Quarterly Breakdown

QuarterLaunchesAvg Interest ScoreTop Product
Q1 2026 9 300 Supaboard
Q1 2025 13 220 Basedash
Q2 2025 11 210 Preswald
Q3 2025 11 175 Capalyze
Q4 2025 9 191 The Map of Human Ideas
Q1 2024 14 139 Tablize
Q2 2024 8 314 Atlas.co
Q3 2024 21 179 Airbook 2.0
Q4 2024 10 218 Glazed
Q1 2023 12 90 Notion Charts
Q2 2023 18 161 Dokably
Q3 2023 20 137 MRRArt Pro
Q4 2023 14 146 Hurree
Q1 2022 3 133 Creately 4.0
Q2 2022 6 151 Felt
Q3 2022 11 160 Datapad 2.0

Market Direction

The Data Visualization category has been steady over the past 5 years of tracked data. Total launches went from 27 in 2022 to 9 in 2026.

Average engagement ratio across all Data Visualization launches: 0.25. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.

Peak Activity

Data Visualization peaked in 2023 with 64 launches. That was 3 years ago. The decline since then could signal market consolidation, saturation, or attention shifting to adjacent categories.

Engagement Quality

Average engagement per product dropped from 0.24 in 2022 to 0.21 in 2026. More products competing for the same attention pool. The community is spread thinner, which makes high-engagement launches more impressive.

Strongest Quarter

The highest-performing quarter was Q2 2024, with an average interest score of 314 across 8 launches. Atlas.co led that quarter.

Top Data Visualization Products by Year

2026

Ask in plain English. Get accurate answers from your data
718
Feb 2026 126 discussions
Build data wealth: Turns files into McKinsey-level insights
657
Jan 2026 225 discussions
Store, review, and share your Claude Code sessions
436
Mar 2026 58 discussions
Focus & Productivity Time Tracker
323
Feb 2026 40 discussions
Easy data visualizations. Embed and share anywhere.
162
Mar 2026 24 discussions

2025

ChatGPT for datavores: scrape → ask → visualize
828
Sep 2025 268 discussions
The AI-native business intelligence platform
658
Jan 2025 186 discussions
Your AI knowledge space for insightful visuals
655
Jan 2025 147 discussions
AI agent for building data apps, dashboards and reports
616
May 2025 98 discussions
Discover where the world’s greatest ideas were born
491
Nov 2025 52 discussions

2024

GIS and maps in the browser
976
Jun 2024 191 discussions
Think Notion, but for analytics
937
Jul 2024 128 discussions
Get user insights from your Figma designs
869
Oct 2024 112 discussions
Airtable alternative - one tool to replace them all
767
Apr 2024 170 discussions
Create pro-level graphs that drive actions
764
Aug 2024 170 discussions

2023

One workspace for your work docs, tasks, and whiteboards
565
May 2023 240 discussions
Create beautiful text charts (ascii) from your data
564
Jul 2023 198 discussions
A pinboard for your analytics
452
Nov 2023 76 discussions
Build powerful apps on top of Google Sheets and Airtable
362
Oct 2023 82 discussions
Turn your stats into animated gifs
360
May 2023 134 discussions

Frequently Asked Questions

Launch volume drops but engagement per product rises. Fewer builders entering, but the ones that do find a more receptive audience. That's an opportunity signal. We flag it when we see it.

We report what happened. We don't predict. Five years of data shows patterns, but markets surprise people for a living.

Three common reasons. The market consolidated around winners. The technology matured and stopped generating new startups. Or builder attention shifted to adjacent categories. Usually it's a combination.

Volume without engagement is saturation. Engagement without volume is opportunity. Check which one you're looking at.

Sum of all interest scores in the quarter divided by number of products. Simple average. We don't weight by category or product age.

Depends on what's declining. If volume drops but engagement rises, the market is maturing. That's often good for existing players. If both drop, the category may be dying. The quarterly breakdown on each page tells you which pattern you're seeing.

At least three. Two data points is a line, not a trend. We have five years of data for most categories, which is enough to distinguish real shifts from noise.

Data Visualization market moves, weekly

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