Opportunity area · theme founders discuss · intermediate

Validation path for theres computer science data but

Validation · Theres computer science data but — skip waitlist vanity; ask for a dated pilot and a success definition. Angle code: validation-29. Original insight: the unfair advantage is usually access (scars, audience, data)—not a clever name.

Problem

Trust is thin. Anyone can claim a fix for “theres computer science data but”; few can show a before/after on a real workflow with real data. Unexpected challenge: English-language threads overstate global demand; local budgets and compliance may differ. Hidden cost: permissions, exports, and “who owns this spreadsheet?” politics.

Target user

solo founders in martech who feel “theres computer science data but” as a weekly tax

Proposed solution

If angle is validation: freeze features; maximize evidence. If distribution: freeze features; maximize channel reps. Validation sprint (14 days): five interviews, one written offer, one paid or strongly committed pilot ask—no new features until that loop finishes. Counter-intuitive advice: fewer “would you use this?” chats; more reconstructions of last week’s failed attempt at “theres computer science data but.” Distribution bottleneck: marketplaces and app directories tax you twice—once in fees, once in attention. One caution: if you need the customer’s pristine historical data on day one, onboarding will kill conversion. One recommendation: this week, book five conversations and attempt a paid pilot for “theres computer science data but” before writing more than a landing page. Practical next step: schedule the next user call before the next coding session. Real-world pattern: early unscalable work (white-glove onboarding, manual QA) taught companies what to productize later. Straight take: keep the story small until numbers force it wider. Venture slides that promise to own all of martech are usually fiction.