RaceWrite Style Guide: Crowdsourced, Searchable Reference Tool
A browser plugin and lightweight web app that sits in writers' workflows (Google Docs, Word, Medium, Substack) and provides real-time suggestions when they type racial or ethnic descriptors. The database is crowdsourced from sensitivity readers, journalists, and cultural consultants; writers can search by context (journalism vs. fiction), by community, or by common pitfalls, and see examples of natural vs. awkward phrasing with brief explanations.
40 weeks • 70% confidence
Value Proposition
Beats static style guides by being searchable, contextual, and continuously updated by real practitioners; beats AI tools by explaining WHY a phrase is awkward and offering cultural context; cheaper and faster than hiring sensitivity readers for every piece; reduces friction in the writing process
Target Audience
Individual journalists, freelance writers, content creators, and newsrooms that produce high volume and want lightweight, always-on guidance without hiring consultants
Key Features
- Browser plugin for Google Docs, Word Online, Medium, Substack
- Real-time flagging of common awkward or outdated racial descriptors with inline suggestions
- Searchable database of 500+ examples organized by context (journalism, fiction, marketing), community (Black, Asian, Latinx, Indigenous, Middle Eastern, etc.), and issue type (stereotypes, outdated terms, missing nuance)
- And more, with full implementation detail...
Tech Stack
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Sign up freeOriginal Problem
Writers struggle to describe people's race without sounding awkward or offensiveWriters, journalists, and content creators frequently face uncertainty about how to naturally and respectfully describe someone's race or ethnicity in their work. Current solutions are fragmented—style guides are inconsistent, there's no centralized reference, and writers often second-guess themselves or avoid the description entirely, leading to less authentic or inclusive writing. This creates friction in the creative process and risks perpetuating outdated or insensitive language.
Score: 17.5%