Free guerrilla growth tactics for startups, the kind your competitors won't come up with on their own. Runs in Claude Code or Codex: competitor read, buyer map, and 7 to 9 low-budget plays. ~90 min, local, Apache-2.0.
Competitive gap analysis for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-002). Find where a bootstrapped founder's resource constraints become structural advantages competitors CAN'T or WON'T replicate, across channel, audience, content, positioning, and execution-quality…
Cross-industry tactic transfer for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-001). Diagnose the founder's core distribution challenge, then find proven growth mechanisms from OTHER industries and adapt them, separating the universal MECHANISM from context-specific…
Fast founder-input capture for the Diffmode growth-tactics pipeline (the diagnostics stage). Produces WS/01-diagnostics/founder-input.md in the exact schema the enrichment + synthesis stages read. Two modes — (A) URL mode researches a product's website (homepage/pricing/about) plus a web-research pass to prefill the…
Comprehensive acquisition-tactics audit for a founder's industry (AI-CMO enrichment ENR-004). Document 25-35 tactics across competitor/industry/adjacent/platform/unconventional categories with a scrappy-bootstrapper playbook, required-fields schema (effort/budget/skills/time-to-signal/loop-potential), and an…
Advanced JTBD + audience segmentation for a founder's product (AI-CMO enrichment ENR-001). Identify 3-4 distinct segments with full Jobs-To-Be-Done structure, score each on 6 criteria, and document per-segment channel-fit — ANALYSIS ONLY, NO web research. Use when running the enrichment stage's audience dimension or…
Deep competitive-intelligence analysis for a founder's product (AI-CMO enrichment ENR-002). Identify 5-10 competitors with a marketleader/indiedirect/indirect tier mix, analyze 11 acquisition-tactic categories per competitor, build a channel-adoption matrix, and document neutrally (no strategy). Use when running the…
Founder-report packaging stage for the Diffmode growth-tactics pipeline — the post-gate step that turns the APPROVED synthesis.md (a reviewer-facing working paper) into growth-tactics.md, the founder-facing "Your Growth Tactics" report. Strict re-packaging per the central writing-style.md — plain tactic cards (what it…
Builds a per-run LIGHT growth-vector database for the Diffmode growth-tactics pipeline by mining public growth case studies fresh, every run, and distilling each into atomic "growth factors" (transferable mechanisms). Clean-room — NEVER reads the proprietary tacticsDB. Outputs growth-factors.json (20-40 vectors spread…
Parameterized quality reviewer for Diffmode growth-tactics outputs across the whole pipeline. Given a dimension name — an enrichment dimension (competitors|audience|acquisition-tactics), a think-tank dimension (competitor-gaps|cross-industry|platform-arbitrage), or the synthesis dimension (demand-gen-synthesis) — plus…
Generates synthesis-constraints.json for the Diffmode growth-tactics pipeline by reasoning in-context over the per-run growth-factors.json (LIGHT vector DB) + founder context — the clean-room, no-Python replacement for the proprietary Python constraints generator. Emits the white-space pairs, mandatory…
Platform arbitrage audit for a founder's product — a Diffmode growth-tactics think-tank research stage (prompt TT-DG-003). Systematically audit major platforms (Reddit, LinkedIn, X, Instagram, TikTok, YouTube, Discord, Threads, Bluesky) for genuinely NEW features (0-6 months old) that open an early-adopter window, AND…
Synthesis BUILD stage — the FINAL stage of the Diffmode growth-tactics pipeline (fuses white-space ideation + founder-fit adaptation & merge — formerly two separate synthesis passes — into ONE reviewer-gated stage). Reads synthesis-explore.md (the validated emergent mechanisms) + synthesis-constraints.json +…
Synthesis EXPLORE stage for the Diffmode growth-tactics pipeline (fuses the blind-combination draw + emergent-mechanism derivation — formerly two separate synthesis steps — into ONE structural-check-only stage). Reads the per-run growth-factors.json (LIGHT vector DB) + synthesis-constraints.json + founder-input +…