See what tools people want before you build them
What people say about AI and software tools online, turned into buildable ideas.
Tool ideas to build - June 15, 2026
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Upgrade to ProThe online conversations behind these opportunities
People genuinely love what these tools can do when they work. But bugs, crashes, and unreliable AI are everywhere, across all six categories. The gap between what tools promise and what they deliver is wide open for builders.
What people like
- Strong, capable features people actually use
- AI quality impresses when it works
- Beats rivals on core functionality
- Easy enough for non-technical users
- Good integrations with existing workflows
What people want
- Want it to stop crashing and breaking
- Want AI that does not make things up
- Want missing features already promised delivered
- Want pricing that does not change without warning
- Want better privacy controls over their data
Categories covered this week
Top complaints overall
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, AI Video, CRM
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, Project Management, Cloud Storage
Most discussed in AI Chat, Coding, Project Management, Cloud Storage
Top praise overall
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, Project Management, Cloud Storage
Most discussed in AI Chat, Coding, AI Video, Project Management
Most discussed in AI Chat, Coding, Project Management
Most discussed in AI Chat, Coding, Project Management, Cloud Storage
Based on aggregated public community discussion across the tools we track, refreshed weekly. The ideas are our interpretation of the patterns, offered as starting points, not recommendations or guarantees. Theme counts reflect how often topics appear, not a measure of product quality.
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