186 All-Time Launches
9 2026 Launches
0.24 Avg Engagement
-81% YoY Change

The Data launch landscape has shifted every year since 2021. 186 products indexed. Below, we break it down by volume, engagement, and the individual products that mattered most.

Launches Per Year

2 2021
27 2022
65 2023
36 2024
47 2025
9 2026

Quarterly Breakdown

QuarterLaunchesAvg Interest ScoreTop Product
Q1 2026 8 110 Context.dev
Q2 2026 1 354 Panorama
Q1 2025 9 158 Breyta.ai
Q2 2025 16 188 People Dataset
Q3 2025 13 248 Ada
Q4 2025 9 197 Floqer
Q1 2024 10 125 Swif.ai
Q2 2024 10 113 Hex
Q3 2024 11 166 Supermemory
Q4 2024 5 295 Boost.space 4.0
Q1 2023 9 153 Patterns
Q2 2023 25 132 theGist
Q3 2023 16 142 Datatera.ai
Q4 2023 15 153 Bind
Q1 2022 5 148 System
Q2 2022 5 101 State of Databases 2022

Market Direction

The Data category has been steady over the past 6 years of tracked data. Total launches went from 2 in 2021 to 9 in 2026.

Average engagement ratio across all Data launches: 0.24. 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 peaked in 2023 with 65 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 0.26 in 2021 to 0.24 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 2026, with an average interest score of 354 across 1 launches. Panorama led that quarter.

Top Data Products by Year

2026

AI that finds your team’s workflows and hidden structures
354
Apr 2026 56 discussions
One API to scrape, enrich, and understand the web.
273
Mar 2026 20 discussions
AI Training Signals from Real Human Activity
133
Feb 2026 9 discussions
Extract structured data from text, files and archives.
129
Mar 2026 9 discussions
AI agent that builds your data model and answers questions
127
Feb 2026 7 discussions

2025

Your own AI data analyst
941
Sep 2025 135 discussions
The AI copilot for GTM data automation
697
Nov 2025 228 discussions
Gather structured data wherever it lives on the web
596
Dec 2025 34 discussions
Full people data on hundreds of millions of profile
568
May 2025 61 discussions
Connect direct to Salesforce & HubSpot with native formulas
533
Jul 2025 55 discussions

2024

Buy & Sell AI-Powered Workflows
930
Nov 2024 85 discussions
AI second brain for all your saved stuff
715
Jul 2024 64 discussions
Revolutionize storage: own your Cloud and save big
359
Jul 2024 88 discussions
Bring everyone together with data
311
May 2024 25 discussions
Manage your computer vision data labeling
241
Nov 2024 33 discussions

2023

A unified AI workspace to supercharge humans
625
Jun 2023 179 discussions
Convert ANY website or file to the sheet or CRM in seconds
513
Sep 2023 331 discussions
Build a product driven community
410
Nov 2023 150 discussions
Connect AI like ChatGPT to real business actions
362
Feb 2023 78 discussions
Elevate your hiring process with Serand
352
Oct 2023 165 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 market moves, weekly

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