Per-vendor scorecards showing recommendation rates, constraint coverage, competitive dynamics, and actionable improvement recommendations
Vendors Tracked
55
Primary Recommendations
30
Mentioned Only
25
Avg Win Rate
19%
Top AI-Readiness
61
How well each vendor's documentation and SDK helps AI assistants recommend and implement it
| # | Vendor | Score | Grade | |
|---|---|---|---|---|
| 1 | Statsig | 61 | B | |
| 2 | OpsLevel | 55 | C | |
| 3 | Flagsmith | 53 | C | |
| 4 | Infisical | 51 | C | |
| 5 | incident.io | 44 | C | |
| 6 | GitHub Advanced Security | 43 | C | |
| 7 | LangSmith | 23 | D | |
| 8 | Cortex | 22 | D |
sentry.io
neon.tech
doppler.com
braintrustdata.com
fly.io
upstash.com
incident.io
github.com
workers.cloudflare.com
supabase.com
aws.amazon.com
vaultproject.io
launchdarkly.com
statsig.com
smith.langchain.com
flagsmith.com
turso.tech
opslevel.com
vercel.com
github.com/features/actions
pagerduty.com
grafana.com
honeycomb.io
infisical.com
langfuse.com
backstage.io
newrelic.com
cortex.io