SaaS ideas your next customers are already looking for
100 SaaS startup ideas for the people who said they'd pay, from agency owners to dentists. Micro SaaS ideas, AI SaaS ideas and B2B SaaS ideas: find yours, build it, sign them up.
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Pain points in business: what people struggle with
Search the problems to solve, as people described them on Reddit and other platforms, in their own words.
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Uncoordinated Coding Agents
Developers struggle to coordinate, steer, and maintain context across multiple AI coding agents, which drift, loop, and produce unreliable work.
In their words
only 4/24 tasks are done, it took about 2.5 hours and used up 87% of my 5-hour gemini usage
It is nigh-impossible to ask Claude to reliably read a file before writing code.
It lost the common sense earlier Claude models had, drifted off task and overcomplicated everything, even with effort turned down.
in Zed, I just said "review my code" and it finished my monthly usage.
They want new features but no one on their team knows had to add them without breaking something else
I expect the local llm to look at what's already built (and works) and do changes I ask it to do.
Code just deleted 48k files. This can't be real.
it created the backup in the wrong directory and then proceeded to "rm -rf" my entire drive
They didn't even know what heap or stack memory was.
I have to ask it "what do you mean?" or "speak in plainer English" over and over again for every other paragraph.
Merge request feito pelo Claude sendo revisado pelo próprio Claude
developers prompt it, AI guesses it, and infrastructure teams debug the fallout at 3 AM
I would love to have something that would connect to my codex, Claude, and opencode subscription rather than having to make a new subscription.
The part I still fight is drift, the agent quietly wandering off the plan three steps in.
developers using AI agents
Where they talk
- r/ClaudeCode
- r/ClaudeAI
- r/codex
- r/vibecoding
- r/AI_Agents
- r/SaaS
- r/cursor
- r/LocalLLM
Tools they use today
- Claude Code
- Claude
- Codex
- Cursor
- ChatGPT
- MCP
- git
- GitHub
Why those fall short
- AI review misses broken features; no human time to verify
- agents ignore permission rules and subagents disobey manager instructions
- no always-visible status indicator
- denies get worked around, classifiers miss it, permissions fiddly
- agents hallucinate, over-refactor, ignore instructions, and fold under pushback
Map of ideas
Drawing the map…