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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AI Code Floods Pull Requests
AI-generated code floods pull request queues faster than humans can review it, causing stalled reviews, missed bugs, and rework.
In their words
we're super bottlenecked by PR reviews and our devs like full time job is now PR reviews
I’ve spent the whole day making the process more correct instead of actually shipping.
Developers are no longer going through the changes on their own, they're using Claude to run self-designed code review prompts and half the time they just add comments and post Claude's output in the PR.
it reviews the diff in front of it and misses that the change contradicts how the other three services do the same thing
if engineers get used to dismissing half the bot's comments, they're eventually going to skim the one that actually matters
I have found a need to lessen my reliance on cloud reviewers where I have rate limits
When a tool spits out 300 lines of code just to modify a single conditional block, code review becomes a complete nightmare.
80% do PR é só markdown cheio de por que, pra que isso KKKKKKKK. 40-50 issues pra um épico e stacka tudo em um só em menos de um dia, como acompanha?
The LLM generates thousands of lines of code every day, but my working time increases and joyness decreases from day to day.
somewhere around month 4 I noticed I was dreading opening GitHub notifications
His whole process is copying the diff into an AI chat and if it says looks good, he approves.
I shepherd PRs daily that were never even tried out. Bugfixes for bugs that were never reproduced and never validated.
It's definitely a wall of text and burnout fodder, the next step is an agent/skill that will make the changes after we humans comment on the comments, because the comment wall is not sustainable.
The manual review bottleneck becomes obvious — you're either rubber-stamping everything or slowing down to actually look at it.
software developers and reviewers
Where they talk
- r/ClaudeCode
- r/ExperiencedDevs
- r/AI_Agents
- r/codereview
- r/cscareerquestions
- r/ClaudeAI
- r/cursor
- r/vibecoding
Tools they use today
- Claude
- Claude Code
- GitHub
- CodeRabbit
- Codex
- Copilot
- Cursor
- Jira
Why those fall short
- AI tools generate code without understanding context or quality
- generated code is broken, unusable, and needs constant fixing or rewriting
- no inline diffs, hard to approve individual changes, takes control away
- LLMs produce flawed code faster than teams can review or clean it
- outputs don't build, pass tests, or match architecture; reviewers must QA everything
Map of ideas
Drawing the map…