Full grid / 37 products / two boards / cycle 04

The full comparison matrix

Every measured product against every axis on its own board, in two separate grids. The winning score in each axis column is marked in cyan, computed within that board's cohort only: a full-stack app builder and a coding agent are never ranked against each other in the same column, because the two boards are not comparable measurements. This is the same underlying data as the composite index and the per axis leaderboards, laid out so you can scan across a row or down a column without leaving the page. Server rendered as plain HTML: no chart library, nothing waits for JavaScript to paint.

Full-stack app builders: all 20, all 10 axes

Ordered by composite index, highest first. Cyan cell marks the column winner within this board.

Full-stack app builders comparison matrix: every product against every axis
#ToolAgent performanceReliabilityScalabilitySEO and GEOAPI and MCPIntegrationsDesign outputTurn latency scoreValueCode ownershipComposite
94.093.392.095.097.088.086.061.369.096.089.48
2Firebase Studio logoFirebase StudioSunsets Mar 2027
79.086.787.073.079.090.072.065.092.084.080.92
89.082.278.075.066.086.092.076.572.079.080.54
80.084.472.076.060.066.094.0100.068.086.078.31
83.086.780.062.071.077.073.048.072.082.075.47
81.080.070.066.058.072.085.079.471.088.074.68
75.084.468.064.066.075.080.069.376.055.073.05
71.077.862.068.057.066.083.069.376.070.069.97
74.073.368.066.058.070.078.060.170.074.069.48
79.080.066.058.061.063.071.045.174.072.068.68
72.068.966.070.055.064.084.071.670.062.068.66
68.055.664.072.060.062.072.077.890.098.067.49
69.064.460.058.062.068.070.067.975.080.065.59
70.060.061.057.052.059.075.060.866.058.062.12
70.066.774.048.052.046.068.043.384.058.062.08
68.060.058.060.047.055.077.057.576.048.061.06
60.055.652.062.048.054.074.057.382.097.059.85
63.048.954.061.044.052.082.081.5n/a52.058.53
62.051.152.063.041.049.079.074.974.045.058.11
66.048.958.042.048.060.080.047.674.066.056.99

Coding agents: all 17, all 9 axes

Ordered by composite index, highest first. Cyan cell marks the column winner within this board.

Code ownership has no column here: it is not scored on this board, because a coding agent edits a repository you already own.

Coding agents comparison matrix: every product against every axis
#ToolAgent performanceReliabilityScalabilitySEO and GEOAPI and MCPIntegrationsDesign outputTurn latency scoreValueComposite
95.091.186.062.078.076.068.047.980.079.72
92.086.782.058.074.080.066.058.880.077.92
84.093.380.060.072.074.065.043.478.075.67
86.088.984.058.074.076.062.043.977.075.63
85.077.874.056.072.068.060.079.177.073.35
81.082.282.056.076.078.062.019.476.071.48
83.073.376.058.070.072.070.039.990.071.37
77.071.170.055.066.064.064.0100.082.071.13
82.080.072.057.070.072.063.033.088.070.66
80.075.674.055.066.070.062.021.488.068.04
78.071.180.054.072.074.060.08.974.066.64
70.077.876.052.068.070.056.031.670.066.06
72.068.964.054.062.058.052.079.786.065.88
76.068.968.055.064.062.058.052.552.064.51
74.064.470.056.068.066.058.021.786.063.93
73.051.166.054.060.066.066.032.584.061.00
71.053.366.053.062.060.056.032.684.059.89

Column winners

The single highest subscore recorded on each axis, within each board.

Full-stack app builders

Agent performance

94.0

Reliability

93.3

Scalability

92.0

SEO and GEO

95.0

API and MCP

97.0

Integrations

Firebase Studio logoFirebase StudioSunsets Mar 2027

90.0

Design output

94.0

Turn latency score

100.0

Value

Firebase Studio logoFirebase StudioSunsets Mar 2027

92.0

Code ownership

98.0

Coding agents

Agent performance

95.0

Reliability

93.3

Scalability

86.0

SEO and GEO

62.0

API and MCP

78.0

Integrations

80.0

Design output

70.0

Turn latency score

100.0

Value

90.0

Reading the grid

Every number here is the same subscore published on the product page and used in the weighted composite on the methodology page. Nothing is normalised again for this view: a 98 in one column and a 98 in another are the same measurement scale, 0 to 100, within the same board. A 98 on the builders board and a 98 on the coding agent board are not necessarily the same thing, because the two boards score different axis sets with different weights.

The composite column on the right is the weighted sum of that board's axis columns using its own published weights, so a product that wins several low weight axes will not necessarily outrank one that wins fewer high weight axes. Agent performance and reliability together carry 36 of the 100 points on the builders board, and 37.11 of the 100 points on the coding agent board, more than the next four axes combined on either board.

The full underlying dataset, including every raw run behind these subscores, is downloadable at /api/rankings.json and /api/runs.json.