How to Find Open-Source Project Ideas That People Actually Want
Many developers build open-source projects that never gain traction. The biggest reason? They don’t validate demand before building. You don’t need a "marketing brain"—you just need to listen to real users, find pain points, and solve problems people care about.
This guide will show you where to find user complaints, how to analyze trends, and how to validate demand before coding.
1. Where to Find Communities Discussing Real Problems
Instead of guessing, observe where people discuss frustrations. Here are the best platforms:
👨💻 Developer-Focused Communities (Great for Open-Source & SaaS Ideas)
✅ GitHub Issues & Discussions – See what developers request in popular projects.
✅ Reddit (r/webdev, r/selfhosted, r/programming) – Developers discuss tools they need.
✅ Hacker News – See what’s trending in tech & software.
✅ Stack Overflow – Check recurring programming issues that lack good solutions.
✅ IndieHackers – Entrepreneurs share struggles with software, SaaS, and monetization.
🎯 Action Step: Search GitHub issues for "feature request" in your niche.
📢 Business & Productivity Communities (Great for SaaS & AI Automation Ideas)
✅ Product Hunt – Find new SaaS & AI tools before they explode.
✅ r/productivity & Zapier Forums – Professionals discuss automation & workflow pain points.
✅ G2 & Capterra Reviews – Read negative reviews of existing software to find gaps.
✅ r/SaaS & MicroAcquire – Find profitable but abandoned ideas.
🎯 Action Step: Read negative reviews on G2 and Capterra for "What do users complain about?".
🧠 AI & Machine Learning Communities (Great for AI-Based Products)
✅ Hugging Face Forums – See new AI model releases & use cases.
✅ r/MachineLearning (Reddit) – Find AI challenges & missing tools.
✅ Kaggle – Look at trending AI projects and gaps.
🎯 Action Step: Join Hugging Face Discord and ask, "What’s a common AI problem you face?".
2. How to Find & Validate Market Demand
🔍 Step 1: Search for User Complaints (Reddit, Quora, Twitter, Product Hunt)
- Go to Reddit, Quora, and Twitter and search:
"I wish there was a tool for..." or "I hate that I have to manually..." - If multiple users complain about the same issue, it’s a strong demand signal.
🎯 Example: Many Reddit users complain about long YouTube videos → AI summarization tools are needed.
📊 Step 2: Analyze Competitor Weaknesses (G2, Capterra, App Reviews)
- Check G2, Capterra, or App Store reviews of similar products.
- Look for negative reviews ("This tool is too slow!" or "I wish it had X feature.").
🎯 Example: Users hate that most YouTube summarizers require login → Create a login-free AI tool.
📢 Step 3: Talk to Real Users (Reddit, Discord, IndieHackers)
- Post: "Would you use an AI tool that does X?" on Reddit or Twitter.
- If 20+ people respond positively, that’s validation.
🎯 Example: IndieHackers founder asked about a GitHub automation tool → 100+ responses → Built a business around it.
💰 Step 4: Create a Simple Landing Page (Test Willingness to Pay)
- Create a simple page (Carrd, Notion, Framer) explaining your idea.
- Add a waitlist form ("Join Early Access").
- If people sign up, there’s demand.
🎯 Example: Someone pre-launched a Notion-based AI tool and got 300+ signups before writing code.
3. Best Validation Strategy: Combine Multiple Methods
✔ If you find:
✔ Reddit posts + negative reviews + real conversations + signups → 🚀 Build it!
✔ No strong demand? Pivot before wasting months coding.
🎯 Final Action Plan:
1️⃣ Pick a niche (e.g., AI, automation, developer tools).
2️⃣ Search user complaints (Reddit, Twitter, Quora, Product Hunt).
3️⃣ Read negative reviews (G2, App Store, Capterra).
4️⃣ Talk to real users (IndieHackers, Discord, Twitter).
5️⃣ Launch a waitlist & collect signups.
6️⃣ Build & iterate based on feedback.
Final Thoughts: Your Market Sense is a Skill, Not a Talent
- Even if you’re a developer with no marketing instincts, you can analyze real user problems.
- You don’t need to "guess" trends—just listen to what people already complain about.
- The best founders & open-source maintainers solve real problems, not just build cool tech.
🎯 Want Help Finding Your Next Open-Source Idea?
Let me know—I can search live Reddit & Twitter discussions to find real user problems for you! 🚀
Get in Touch with us
Related Posts
- How Software Technology Can Help Chanthaburi Farmers Regain Control of Fruit Prices
- AI 如何帮助发现金融机会
- How AI Helps Predict Financial Opportunities
- 在 React Native 与移动应用中使用 ONNX 模型的方法
- How to Use an ONNX Model in React Native (and Other Mobile App Frameworks)
- 叶片病害检测算法如何工作:从相机到决策
- How Leaf Disease Detection Algorithms Work: From Camera to Decision
- Smart Farming Lite:不依赖传感器的实用型数字农业
- Smart Farming Lite: Practical Digital Agriculture Without Sensors
- 为什么定制化MES更适合中国工厂
- Why Custom-Made MES Wins Where Ready-Made Systems Fail
- How to Build a Thailand-Specific Election Simulation
- When AI Replaces Search: How Content Creators Survive (and Win)
- 面向中国市场的再生资源金属价格预测(不投机、重决策)
- How to Predict Metal Prices for Recycling Businesses (Without Becoming a Trader)
- Smart Durian Farming with Minimum Cost (Thailand)
- 谁动了我的奶酪?
- Who Moved My Cheese?
- 面向中国的定制化电商系统设计
- Designing Tailored E-Commerce Systems













