I've tracked 1746 Social Media launches since 2021. Volume alone is misleading. A category can have fewer launches but higher engagement per product (maturation) or exploding volume with declining quality (saturation). You need both numbers.
Five years of Social Media launch data. Volume, engagement, and the products that stood out.
I've tracked 1746 Social Media launches since 2021. Volume alone is misleading. A category can have fewer launches but higher engagement per product (maturation) or exploding volume with declining quality (saturation). You need both numbers.
| Quarter | Launches | Avg Interest Score | Top Product |
|---|---|---|---|
| Q1 2026 | 78 | 107 | SuperX |
| Q2 2026 | 5 | 109 | Surf Social Websites |
| Q1 2025 | 95 | 116 | JoggAI 2.0: AI Avatar Generator |
| Q2 2025 | 94 | 108 | Postiz v2 |
| Q3 2025 | 96 | 107 | VidAU - AI Video |
| Q4 2025 | 54 | 74 | Touched Grass |
| Q1 2024 | 102 | 170 | Supergrow |
| Q2 2024 | 82 | 194 | Pygma |
| Q3 2024 | 106 | 131 | Osmos |
| Q4 2024 | 69 | 169 | Highperformr for Teams |
| Q1 2023 | 110 | 137 | Bento |
| Q2 2023 | 136 | 123 | Typefully 2.0 |
| Q3 2023 | 124 | 140 | Submagic |
| Q4 2023 | 119 | 152 | LeadDelta 3.0 |
| Q1 2022 | 33 | 194 | ThreadStart |
| Q2 2022 | 35 | 130 | Taplio Stats for LinkedIn |
The Social Media category has been steady over the past 6 years of tracked data. Total launches went from 286 in 2021 to 83 in 2026.
Average engagement ratio across all Social Media launches: 0.29. Products above that line tend to solve a specific, painful problem. Products below it often entered a crowded space without clear differentiation.
Social Media peaked in 2023 with 489 launches. That was 3 years ago. The decline since then could signal market consolidation, saturation, or attention shifting to adjacent categories.
Average engagement per product has risen from 0.21 in 2021 to 0.36 in 2026. That upward trend means the community is spending more time with each new launch. Either the products are getting better, or the audience is getting more selective. Probably both.
The highest-performing quarter was Q2 2024, with an average interest score of 194 across 82 launches. Pygma led that quarter.
1111 B2B launches (63%) vs 635 B2C (37%) across the full Social Media dataset. Social Media leans B2B, but a meaningful share of products target individual users.
2021: 286 launches. Average interest: 139. Average engagement: 0.21. Top launch: Tweet Hunter for Twitter (905 interest).
2022: 190 launches (-34% vs 2021). Average interest: 151. Average engagement: 0.25. Top launch: Taplio (1,011 interest).
2023: 489 launches (+157% vs 2022). Average interest: 138. Average engagement: 0.25. Top launch: Bento (1,320 interest).
2024: 359 launches (-27% vs 2023). Average interest: 164. Average engagement: 0.29. Top launch: Pygma (1,457 interest).
2025: 339 launches (-6% vs 2024). Average interest: 105. Average engagement: 0.44. Top launch: JoggAI 2.0: AI Avatar Generator (981 interest).
2026: 83 launches (-76% vs 2025). Average interest: 107. Average engagement: 0.36. Top launch: SuperX (934 interest).
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.