What To Build - AI GitHub Project Idea Generator

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What is What To Build?

What To Build is a purpose-built AI assistant for developers who code on GitHub — not just another ideation tool, but a strategic co-pilot that bridges inspiration and execution. At its core, it's an intelligent generator of *actionable* project ideas, engineered to understand real-world constraints: tech stack preferences, experience level, open-source impact goals, and even trending repository activity. Unlike generic brainstorming tools, What To Build grounds every suggestion in GitHub’s ecosystem — analyzing live repos, inferring architectural patterns, and mapping out realistic implementation paths. Whether you're a student building your first portfolio project, a solo dev scouting meaningful contributions, or a team lead scoping hackathon challenges, this platform transforms ambiguity into structure — turning “I want to build something” into “Here’s exactly what to build, how to build it, and where to contribute next.” Featured on top AI developer tool directories, What To Build redefines starting points — making idea validation, repo analysis, documentation, and contribution discovery feel native to the GitHub workflow.

How to Use What To Build

Using What To Build is as simple as describing intent — no setup, no OAuth hurdles, no learning curve. Start by typing a keyword (e.g., “Rust CLI”, “AI-powered Notion plugin”, “beginner-friendly Python tool”) or pasting any public GitHub URL into the clean, focused interface. Instantly, the AI interprets context: if you entered a repo, it parses language distribution, issue activity, dependency health, and contributor velocity — then surfaces actionable insights. If you entered a concept, it generates 3–5 tailored project ideas with ranked viability scores, each accompanied by a visual roadmap showing core files, key dependencies, starter commands, and even suggested first PRs.

The README generator works in seconds: input owner/repo format (e.g., vercel/next.js), and receive a production-ready, Markdown-optimized README with live preview — complete with badges, installation steps, usage examples, and contribution guidelines. For contributors, the Open-Source Match Engine cross-references your GitHub profile (public stats only) with thousands of active repositories to surface projects needing help *in your exact skill zone* — tagged by difficulty, response time, and maintainer engagement. And because context matters, every analysis includes “Why This Matters” summaries — translating technical metrics into strategic takeaways (e.g., “Low issue closure rate → high mentorship opportunity”).

Key Features of What To Build

• Context-Aware Project Ideation: Go beyond keyword matching. Our AI synthesizes GitHub trends, language adoption curves, and real-time issue sentiment to propose original, technically grounded projects — with built-in scaffolding: suggested file trees, starter scripts, and deployment-ready configs.
• Repository Intelligence Dashboard: Visualize any GitHub repo like never before — interactive dependency graphs, commit heatmaps overlaid with contributor roles, issue triage timelines, and automated “health score” breakdowns (maintainability, responsiveness, documentation completeness).
• Smart README Studio: Generate dynamic, living documentation that adapts to your repo’s structure. Auto-detect frameworks (React, FastAPI, etc.), infer common workflows, and insert contextual snippets — all editable in real time with instant preview and export options.
• Contribution Compass: Discover open-source opportunities calibrated to *your* growth goals — filter by “first-timer friendly”, “mentor available”, “docs-only”, or “small bug fix”. Each recommendation includes a direct link to relevant issues, contributor onboarding tips, and estimated time-to-first-PR.
• Team & Contributor Insights: Compare GitHub profiles side-by-side — not just stars or commits, but meaningful signals: comment quality, review turnaround time, issue resolution ratio, and collaboration network density. Ideal for hiring, mentoring, or finding peers with complementary strengths.

These aren’t isolated features — they’re interconnected levers. A generated project idea links directly to similar repos for analysis; that analysis suggests README improvements; those improvements highlight missing docs — which the Contribution Compass then matches to beginner-friendly issues elsewhere. Real-world impact? Developers report cutting idea-to-PR time by 65%, reducing README drafting from hours to under 90 seconds, and landing their first meaningful open-source contribution 8x faster than manual searching.

Why Choose What To Build?

Because GitHub isn’t just a code host — it’s a living ecosystem of collaboration, learning, and reputation. What To Build respects that complexity. It doesn’t force abstraction; it surfaces meaning *within* the GitHub context. While other tools treat repositories as static archives, What To Build reads them as narratives — decoding maintainer intent, community rhythm, and technical debt signals. Its AI is fine-tuned exclusively on GitHub data (not generic web text), ensuring suggestions reflect actual development realities, not theoretical ideals.

This focus translates to trust: no hidden data harvesting, no mandatory account creation for core features, and transparent attribution for all AI-generated content. Free access covers full idea generation, repo analysis, README creation, and contribution discovery — empowering students, hobbyists, and indie devs without paywalls. For teams, enterprise plans add private repo support, custom trend alerts, and contribution analytics dashboards — scaling seamlessly from solo exploration to org-wide developer enablement. In short: What To Build doesn’t ask you to adapt to AI. It adapts AI to *how you already work on GitHub.*

Use Cases and Applications

A junior developer uses the Contribution Compass to find a well-maintained TypeScript library with “good first issue” labels — then runs What To Build’s repo analysis to understand its testing strategy before submitting a PR. A bootcamp instructor generates 10 project ideas filtered for “React + Firebase + accessible UI”, exports the roadmap as a classroom syllabus, and uses the README Studio to scaffold student repos with consistent structure. An open-source maintainer analyzes their own repo’s health dashboard, spots declining contributor retention, and uses the Developer Comparison tool to benchmark against peer projects — revealing gaps in onboarding docs that they fix using the auto-generated README template.

Even non-coders benefit: technical writers use repo analysis to identify documentation debt hotspots; engineering managers run team-wide comparisons to spot knowledge silos; and recruiters source candidates based on *meaningful* contribution patterns — not just commit counts. Every use case starts with intention and ends with concrete next steps — no vague inspiration, just GitHub-native action.

Frequently Asked Questions About What To Build

What is What To Build — and why is it different from generic AI idea generators?

What To Build is a GitHub-native AI platform — not a general-purpose chatbot. It’s trained and optimized exclusively on public GitHub metadata, code patterns, and contribution dynamics. That means its project ideas come with verified tech stacks, realistic scope estimates, and direct links to analogous repos. It answers “What should I build *on GitHub*?” — not “What should I build, period?”

Does What To Build require GitHub authentication or access to my private repos?

No. Core features — including project idea generation, public repo analysis, README creation, and contribution discovery — work instantly without login or permissions. Private repo analysis is available only in paid tiers and requires explicit, scoped OAuth consent (with full revocation control). We never store or share your tokens.

How does the AI generate *realistic* project ideas — not just flashy concepts?

Our model ingests millions of GitHub issues, pull requests, and READMEs to learn what makes a project *adoptable*, *maintainable*, and *contribution-friendly*. Ideas are scored against practicality heuristics: dependency maturity, CI/CD readiness, documentation coverage, and community activity — ensuring suggestions balance innovation with executable reality.

Can I use What To Build to improve my existing GitHub projects?

Absolutely. Paste your repo URL to get an instant health audit, uncover undocumented features, generate missing sections for your README, identify low-hanging contribution opportunities (like fixing typos or adding examples), and benchmark your contributor engagement against similar projects — all without leaving your browser.

Is What To Build free — and what’s included in the free tier?

Yes — the free tier includes unlimited project idea generation, full analysis of any public GitHub repository, automated README creation with live preview, and personalized open-source contribution recommendations. No credit card, no trial expiration. Premium tiers unlock private repo analysis, team analytics, priority support, and advanced filtering (e.g., “find Rust projects with >90% test coverage”).

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