Opportunity area · theme founders discuss · intermediate

Distribution approach for used prompts micro digital scratch

Distribution · Used prompts micro digital scratch in ai ml: pick one motion (outbound, community answers, SEO, partnership) and run it daily for a month. First metric beats first feature. Original insight: three lookalike design partners teach more than thirty random cheerleaders.

Problem

The missing piece is not another horizontal app. It is a reliable system for “used prompts micro digital scratch” that a non-founder can run without tribal knowledge. Unexpected challenge: tire-kickers compare you to free chatbots even when the job is operational, not conversational. Hidden cost: rewriting the offer every week instead of iterating the same wedge.

Target user

Practitioners who already tried generic tools and still fail here

Proposed solution

If angle is validation: freeze features; maximize evidence. If distribution: freeze features; maximize channel reps. Distribution rule: track conversations started and pilots dated, not impressions. Counter-intuitive advice: stop reading adjacent threads for a week; talk to five humans instead. Distribution bottleneck: warm intros dry up; build a boring weekly motion you can run alone. One caution: marketplace dynamics are a trap for solo founders—liquidity is not a weekend project. One recommendation: define one success metric, put it on a one-page offer, and reject scope that does not move it. Practical next step: list three current workarounds and price between free and the most expensive workaround. Real-world pattern: community-led tools often start as templates and services before they become SaaS. Straight take: green-light only if you already have access to PMs turning into founders or a scar that makes “used prompts micro digital scratch” personal. Cold pure-tech starts in noisy ai ml categories are a grind.