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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Silent Agent Success Failures
AI agents and automations report success even when tool calls never ran, silently failed, or produced no real state change, leaving outcomes unverified.
In their words
does anything catch the "200 but wrong" class of failure, because that seems to be where everything falls through
The agent's own report of success is not evidence of success
your agent says "I sent the email" or "I updated the record" and never did
the agent confidently saying "lead updated and assigned to sales" when the tool had returned an error
The model writes "done, I've sent the email" and it never actually made the tool call.
From the outside, a dead run and a finished run look identical.
The agent took the wrong path and still produced something plausible
An action you cannot confirm is worse than one you cannot undo, because you do not know to go looking.
As soon as I find an endpoint that didn't get the update, then I lose faith that it was consistently applied and I end up re-pushing the entire monitoring template to the site
If an API call returned empty the record just stayed as-is with no flag.
The agent's "done" is a claim, never evidence.
the automation finished, confident, wrong
Green CI on a bad write is worse than a red build because nobody goes back and looks.
whether the output it produced ... is actually correct when every screen says "success."
AI agent developers
Where they talk
- r/AI_Agents
- r/LLMDevs
- r/ClaudeCode
- r/n8n
- r/mcp
- r/SaaS
- r/LangChain
- r/automation
Tools they use today
- Claude Code
- n8n
- git
- LangChain
- LangGraph
- MCP
- Claude
- Codex
Why those fall short
- Execution status and actual correctness are different signals; green checkmark hides wrong outcomes
- Tool returns success for wrong-but-valid paths; no independent state verification.
- structured outputs only check call shape; checker reads the same narrative
- Tool layer returns bare empty list; empty, unauthorised and zero look identical
- traces are agent self-narration; evals grade output; guardrails run before action
Map of ideas
Drawing the map…