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 Agent Lifecycle Management
Teams struggle to build, deploy, govern, and maintain AI agents reliably at scale without dedicated tooling or engineering support.
In their words
Im actively pushing "agentics as employees" to my leadership to get the funding i need get these vendors onboard and into my flows.
I’m looking for someone who can help us turn that internal setup into an external product - something client facing.
Relying on AI for guidance has become an endless loop of experimentation because it hallucinates or gives conflicting recommendations.
What I actually need is an agent that can plug into the tools my team already uses, learn how we do things (not some generic preset), and handle repetitive ops tasks without me having to babysit it.
Nobody here can describe our own processes accurately enough to say where an agent would help, which means any shortlist is a guess with a business case wrapped around it.
Cable finally figured out HOW to do it but then it kept breaking once implementing so now it's SOL ULTRA with zero care about cost
Basic shell scripts would achieve the same results than these AI agents could.
if recording the conversation is annoying or reps feel like the tool exists to police them then your fancy agent has no data to work with
She said that then my job would be to run the agents.. and i told her I don’t want to spend my life talking to an AI
Does LangGraph give us all these building blocks? Does anyone have LangGraph deployed in enterprise level serving thousands of users simultaneously?
I'd even count a rejection as a success - far less demoralising than sending queries out into the ether and being completely ghosted.
So I kept rebuilding the same sub-par layer for every client.
Entirely new tasks emerge, such as directing agents to provide them the context they need, setting loops, etc.
spend months trying to get an agent to reliably click though our old internal ticketing system before giving up
AI agent builders and teams
Where they talk
- r/AI_Agents
- r/hermesagent
- r/aiagents
- r/copilotstudio
- r/ClaudeCode
- r/LLMDevs
- r/ClaudeAI
- r/salesforce
Tools they use today
- Claude
- Claude Code
- MCP
- Hermes
- OpenClaw
- Codex
- Copilot Studio
- n8n
Why those fall short
- Agents add cost, guardrail gaps and context drift over deterministic scripts
- unprofessional icon and UI hurt trust with clients
- no mature repo or standard blueprint gives the agent-operating architecture
- unknown
- no structure; projects dragged on and broke repeatedly
Map of ideas
Drawing the map…