Diffmode Growth Tactics

**Growth tactics for startups that can't outspend their competitors.** It researches your market, mines public case studies for the *reasons* real growth plays worked, combines them in ways nobody's tried, and kills anything an average marketer would have suggested anyway.
Free. No account. Runs inside Claude Code or OpenAI Codex in about 90 minutes.
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What you get
- **A read on your competition.** Who you're up against, how each rival gets users, and which channels they're ignoring. That gap is where you get in.
- **A map of your buyers.** Real segments, the job each one hires you to do, and what makes someone switch.
- **7 to 9 unconventional tactics.** Each one a plain card: what it is, why your competitors won't see it coming, how to start this week, and when to kill it.
Here's the kind of tactic a run produces:
> **The Hiring-Signal Pitch.** When a company posts a job to hire someone for the exact manual task your product removes, that's a buying signal nobody else is watching. Set alerts for those job titles. When one's posted, find the hiring manager and send a 60-second screen recording: "saw you're hiring a [role] to do [task]. Here's my tool doing it live." A reply rate above ~10% means the angle lands.
Everything is yours to reuse. Hand the competitor read to a freelancer, drop the buyer map into a deck. The run ends with a styled report in your browser.
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Why it's different
Ask any LLM to "give me a growth strategy" and you get back the averaged playbook from its training data. Diffmode never asks the model to invent tactics — it asks it to research, mine, combine, and reject. The inventing is done by the pipeline's structure.
**Mechanism, not tactic.** Each run mines 12–20 real case studies fresh, across industries, and distills each into *why* it worked — with sources, numbers, and failure modes kept. Clubhouse gave every user two invites and got a 10M-person waitlist and a $4B valuation on zero ad spend. The distilled mechanism: engineered scarcity turns users into recruiters competing for status — but it only buys time, because ~88% of them left the moment access opened. That failure mode stays in the record. It matters later.
**Blind before analysis.** Mechanisms are paired *before* anyone knows what tactic they'll produce, so the model can't reverse-engineer its way back to the obvious answer. Pair the Clubhouse mechanism with the one behind Glossier's Boy Brow — a bestseller sourced straight from a blog's comment section — and out comes *invites that carry a real vote on what gets built next*. Access expires; authorship doesn't. The combination explicitly closes Clubhouse's failure mode, and neither case suggests it alone. The order is enforced in the file, not just requested: the blind draw has to physically precede the analysis. Open synthesis-explore.md from your own run and check that the model didn't work backwards.
**Rejection is the product.** Some pairings are banned before the run even opens — combinations whose outcome stays conventional no matter what lands in them ("talk to customers, then write content"). Everything else meets four gates. The Marketer Test: would an average B2B marketer recommend this — yes, it dies. The Reframing Test: strip the adjectives, and if the core action is still conventional, it dies. Emergence Proof: if each mechanism could have produced it alone, nothing was synthesized — it dies. Anti-sameness: ten tactics can't all be "write content". Novelty isn't generated. It's what survives.