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Revealed Preference

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Home/Vendor Intel/Vercel Postgres

Vercel Postgres

ProfileAI-ReadinessTrendCategoriesConstraintsCompetitiveScenariosRecommendations

Recommendation Profile

Primary Recommendations

0

Total Mentions

4

Win Rate

0%

Implementation Rate

0%

AI-Readiness Score

How well your documentation and SDK help AI assistants recommend and implement your tool

15
Grade: F

out of 100

Implementation Rate(30%)0/100

How often AI writes code after recommending

Win Rate(20%)0/100

How often selected as primary choice

Constraint Coverage(20%)0/100

% of prompt constraints addressed

Gotcha Avoidance(15%)100/100

Fewer gotchas = more AI-friendly

Cross-Platform(15%)0/100

Consistency across assistants

Trend

Win Rate Trend

→+0%

0% → 0%

Mention Volume

4(+0 vs prior)

Weekly Activity

1 week of data

Category Breakdown

CategoryRecommendedComparedRejectedTotalWin Rate
🗄 Database---10%
unknown---30%

Constraint Scorecard

✗ Constraints When Vendor Lost

Constraints in prompts where this vendor was mentioned but a competitor was chosen

branch per pr1×
real postgres1×
staging prod separation1×
pitr1×

Competitive Landscape

CompetitorWins Over YouScenarios
Neon1Database Branching for Preview Environments

Head-to-Head: Vercel Postgres vs Neon

Vercel Postgres: 0 wins
Neon: 1 win
Ties: 3
Database Branching for Preview Environments→ Neon
db-open-01
db-open-01
db-open-01

✗ Scenarios Lost (1)

Database Branching for Preview Environments→ lost to Neon

🎯 Actionable Recommendations

Prioritized by estimated impact on AI recommendation ranking • Based on 4 benchmark responses

P3

Close gap with neon (1 loss)

MEDIUM

neon beats you in 1 head-to-head scenario. Their advantage: addressing branch per pr, pitr.

Evidence
Database Branching for Preview Environments
branch per prpitr
vs Neon