← ClaudeAtlas

tam-sam-som-builderlisted

Estimates TAM, SAM, and realistic SOM for a B2C app idea using triangulated bottom-up methodology anchored to market_insights trend data, competitor revenue proxies, and community size signals. Includes indie capture rate benchmarks and growth-rate adjustments by trend velocity.
Latifox/find-me-saas · ★ 13 · AI & Automation · score 70
Install: claude install-skill Latifox/find-me-saas
<!-- version: 0.3.0 | outputs: memory/ideas/<slug>/market_size.json --> # Skill: tam-sam-som-builder ## Purpose Provide a realistic market size estimate that an indie developer can actually use for decisions. Most TAM estimates are useless because they use top-down analyst numbers designed to impress VCs, not to inform a solo builder deciding where to spend the next 6 months. This skill uses **triangulated bottom-up methodology** — multiple independent estimation approaches cross-checked against each other — anchored to real signals from `market_insights/` trend data. ## Input - Idea slug (or market research slug for pre-idea deep dives) - `memory/ideas/<slug>/idea.md` (`business_model`, buyer) - Search volume figures from the web-search market_insights file (Approach A) — there is no separate keywords file - `memory/ideas/<slug>/competitors.json` (competitor scale and pricing signals; B2B review counts and customer counts) - `memory/ideas/<slug>/pricing.json` (target price — if available) - `memory/market_insights/<niche>-*-<YYYY>-<MM>.md` (trend analysis files — **use all available platform files for this niche**) ### Using Market Insights Trend analysis files from `memory/market_insights/` provide critical calibration data. Extract the following from each available file's YAML frontmatter and narrative: | Field | How it informs TAM/SAM/SOM | |---|---| | `trend_velocity` | Adjusts growth rate projections (see Step 5) | | `top_signals` | Validates that real demand ex