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 Cost Attribution
Teams cannot see or attribute the true per-task cost of AI agents because retries, sub-agents, and shared infrastructure hide where tokens and money are actually spent.
In their words
Paying per call while you're on a train is a weird kind of stress.
Oh, boi you would love to my system but that burn like 2x Go account per weeks or around $100 a mo
if my team builds an agent, who pays, and when?
how are people catching runaway tool loops before p95 cost turns a cheap route into the expensive one?
First turn cost $8 so I was like well whatever... 2nd prompt asking clarification questions cost $8
been trying to figure out where my agent costs come from and i honestly can't tell what's normal. a lot of it seems to be the same context getting resent every turn rather than actual work
The tricky part seems to be that an “agent run” isn’t really a single unit of compute anymore.
Turns out the deployment is billed on uptime, not traffic — the database is live 24/7 so it charges continuously even when literally nothing is hitting it.
you genuinely can't say which step burned the money
costs are absolutely unpredictable and can be surprisinly high
Agent work is great if you do not have to measure the cost in tokens, agents need to fail several times in order to succeed on a lot of tasks.
The number that actually blows budgets isn't model price, it's an agent loop retrying a tool call and quietly 5x-ing the tokens on one task.
Basically I have to watch it like a hawk or it just spins out on red-teaming tasks that take hours and hours.
That spread is the thing nobody building on top of agents can price around
AI agent and platform teams
Where they talk
- r/AI_Agents
- r/LLMDevs
- r/ClaudeCode
- r/FinOps
- r/LangChain
- r/sre
- r/aiagents
- r/ClaudeAI
Tools they use today
- Claude
- Claude Code
- LangSmith
- ChatGPT
- Langfuse
- Braintrust
- MCP
- CrewAI
Why those fall short
- No standardized guard rails or cost controls for unattended agents
- Licensing guide lags engine release; no admin control over expensive engine
- average charts hide the tail; retry chains not visible across separate calls
- dashboards show total spend, not per-client attribution; retrofitting is painful
- No clear way to estimate dollar cost of a specific job
Map of ideas
Drawing the map…