C-03 · Performance leadersarchive-recorded · snapshot 2026-09-17
Performance Leaders: Top 25
The 25 highest performance scores (score.dims.performance) across all 448 archives, each shown against its overall score so the deviation is visible. Aggregation is a plain sort of recorded values — no re-weighting; method and N are published below.
Key numbers
Archives ranked
448
data/tools · N=448
Performance median
80
score.dims.performance · N=448
Top score
90
score.dims.performance · N=448
Leader
Cartesia
score.dims.performance · N=448
Correlation with overall
r=0.86
pearson(dim, overall) · N=448
Performance — top 25 of 448
sort: dims desc, then overall desc, then slug; deviation = dim − overall
| # | Tool | Category | Performance | Overall | Deviation |
|---|---|---|---|---|---|
| 1 | Cartesia | Audio & Voice | 90 | 85.8 | +4.2 |
| 2 | Piper | Audio & Voice | 90 | 81.1 | +8.9 |
| 3 | PlayHT | Audio & Voice | 89 | 89.2 | -0.2 |
| 4 | FLUX | Design | 89 | 88.3 | +0.7 |
| 5 | Cursor | Coding | 88 | 89.2 | -1.2 |
| 6 | Zed | Coding | 88 | 86.1 | +1.9 |
| 7 | DeepL Write | Writing | 88 | 85.8 | +2.2 |
| 8 | Supermaven | Coding | 88 | 81.4 | +6.6 |
| 9 | ChatGPT | Research | 86 | 90.9 | -4.9 |
| 10 | Claude | Research | 86 | 88.9 | -2.9 |
| 11 | Perplexity | Research | 86 | 88.4 | -2.4 |
| 12 | Semantic Scholar | Research | 86 | 87.5 | -1.5 |
| 13 | OpenAlex | Research | 86 | 87 | -1 |
| 14 | Fathom | Workflow Automation | 86 | 86.1 | -0.1 |
| 15 | QuillBot | Writing | 86 | 85.2 | +0.8 |
| 16 | Deepgram | Audio & Voice | 86 | 85.1 | +0.9 |
| 17 | AssemblyAI | Audio & Voice | 86 | 84.5 | +1.5 |
| 18 | Tavily | Research | 86 | 84.5 | +1.5 |
| 19 | Kagi Assistant | Research | 86 | 83.9 | +2.1 |
| 20 | Exa | Research | 86 | 83.2 | +2.8 |
| 21 | Grammarly | Writing | 86 | 83.1 | +2.9 |
| 22 | Adobe Firefly | Design | 86 | 82.8 | +3.2 |
| 23 | Phind | Research | 86 | 82.8 | +3.2 |
| 24 | Wispr Flow | Audio & Voice | 86 | 82.8 | +3.2 |
| 25 | Kokoro TTS | Audio & Voice | 86 | 82.5 | +3.5 |
Performance — top 10
Recorded score.dims.performance of the ten leading archives (scale 0–100).
Method
- Population: all 448 archives in data/tools with a recorded score.dims.performance.
- Ordering: dimension score descending; ties broken by overall descending, then slug ascending — a deterministic total order.
- Deviation column = score.dims.performance − score.overall per archive; positive values lead their own overall.
- Pearson r between the dimension and overall is computed over all 448 pairs (standard formula, rounded to 2 decimals).
- Scores are quoted as recorded in each archive; nothing is recomputed or re-weighted.