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.
The decision layer for GTM software
This is how modern GTM teams decide what software to keep, cut, and replace.
Audit your stack, benchmark it against your peer cohort, map the swaps, and implement — backed by 100k+ modeled stacks, a 17-tool MCP, and operator-built skills. Free.
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Two free tools to decide your stack — plus first dibs on GTM OS, the system we're building to run it.
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Build your stack
Pick your stage. Get an opinionated stack — specific tools, cost tiers, and what to skip. Free, no signup. Email it to yourself in one click.
Build my stack →Already have a stack?Run StackScan
Paste your current tools. See what to keep, what to swap, and what to cut — with the savings on each swap modeled from 100k+ stacks.
Audit my stack →Coming soonGTM OS
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Type any tool — Apollo, HubSpot, ZoomInfo, Clay — for its review & score, real pricing, the cheaper alternative if one exists, and where it overlaps your stack.
The category, in independent numbers
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AI-powered stack intelligence
Analyzed by Claude & GPT-4 · Real SaaS pricing data · Live benchmarks