Most teams uncover $1k-$10k/month in recoverable spend depending on stack size and overlap. Savings typically come from eliminating duplicate tools, reducing unused seats, and consolidating into fewer platforms. Optional AI-native upgrades can raise run rate while changing capability mix; StackScan separates structural recoverable waste from that modernization trade. The exact amount depends on your stack - StackScan shows this in under 60 seconds.
GTM teams like yours are overpaying$5K–$50K/month
Start anywhere
Three ways into StackSwap. All lead to the same decision output: what your stack should be, what to change, and what you'll save.
Starting from scratch?
Build your stack
Four questions — team size, motion, CRM, goal. Get an opinionated stack with specific tools, cost tiers, and what to skip.
Build my stack →Already have a stack?Run StackScan
Paste your current tools. In 30 seconds, see exactly what's redundant, what to cut, and what to replace. Modeled from 100k+ scans.
Audit my stack →Not sure where to start?Explore real GTM stacks
Eight hand-modeled persona stacks — startups, Series A, AI-native, enterprise outbound, more. See what works at your scale.
Browse personas →Before
$5K–$50K/mo
wasted on overlap + unused tools
After
Optimized
leaner stack, higher AI readiness
Every month you wait costs you $5K–$50K
+
AI-powered stack intelligence
Analyzed by Claude & GPT-4 · Real SaaS pricing data · Live benchmarks