Primary Recommendations
3
Total Mentions
19
Win Rate
16%
Implementation Rate
100%
How well your documentation and SDK help AI assistants recommend and implement your tool
out of 100
How often AI writes code after recommending
How often selected as primary choice
% of prompt constraints addressed
Fewer gotchas = more AI-friendly
Consistency across assistants
Win Rate Trend
16% → 16%
Mention Volume
Weekly Activity
1 week of data
| Category | Recommended | Compared | Rejected | Total | Win Rate |
|---|---|---|---|---|---|
| unknown | 2 | - | - | 4 | 50% |
| ⚡ Edge Compute | 1 | 1 | - | 10 | 10% |
| 🗄 Database | - | 2 | - | 5 | 0% |
Constraints in prompts where this vendor was mentioned but a competitor was chosen
| Competitor | Wins Over You | Scenarios |
|---|---|---|
| Fly.io | 4 | Multi-Region API Deployment with Failover |
| Vercel Edge Functions | 2 | Edge Functions for Auth and Geo-Routing |
| Upstash | 1 | Serverless Cache Layer with Rate Limiting |
KV list visibility is eventually consistent and can lag. ([developers.cloudflare.com](https://developers.cloudflare.com/kv/concepts/how-kv-works/?utm_source=openai))
Prioritized by estimated impact on AI recommendation ranking • Based on 19 benchmark responses
Your win rate drops from 16% to 0% when "full nodejs runtime" is required. This constraint appears in 4 benchmark prompts. fly-io addresses it 4× in winning scenarios.
Your win rate drops from 16% to 0% when "multi region 3" is required. This constraint appears in 4 benchmark prompts. fly-io addresses it 4× in winning scenarios.
Your win rate drops from 16% to 0% when "single deploy" is required. This constraint appears in 4 benchmark prompts. fly-io addresses it 4× in winning scenarios.
Your win rate drops from 16% to 0% when "postgres multi region" is required. This constraint appears in 4 benchmark prompts. fly-io addresses it 4× in winning scenarios.
Your win rate drops from 16% to 0% when "budget conscious" is required. This constraint appears in 4 benchmark prompts. fly-io addresses it 4× in winning scenarios.
You're mentioned in 10 edge compute scenarios but only win 1. Analyze the constraints in losing scenarios for targeted improvements.
You're mentioned in 5 database scenarios but only win 0. Analyze the constraints in losing scenarios for targeted improvements.
fly-io beats you in 4 head-to-head scenarios. Their advantage: addressing single deploy.
Your win rate drops from 16% to 0% when "sub 10ms cold start" is required. This constraint appears in 2 benchmark prompts. vercel-edge-functions addresses it 2× in winning scenarios.
Your win rate drops from 16% to 0% when "kv store" is required. This constraint appears in 2 benchmark prompts. vercel-edge-functions addresses it 2× in winning scenarios.
Your win rate drops from 16% to 0% when "vercel integration" is required. This constraint appears in 2 benchmark prompts. vercel-edge-functions addresses it 2× in winning scenarios.
Your win rate drops from 16% to 0% when "typescript" is required. This constraint appears in 2 benchmark prompts. vercel-edge-functions addresses it 2× in winning scenarios.
Your win rate drops from 16% to 0% when "edge monitoring" is required. This constraint appears in 2 benchmark prompts. vercel-edge-functions addresses it 2× in winning scenarios.
upstash beats you in 1 head-to-head scenario. Their advantage: addressing serverless compatible, edge compatible, predictable cost.
vercel-edge-functions beats you in 2 head-to-head scenarios. Their advantage: addressing kv store, vercel integration, typescript.