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 Token Cost Overruns
AI agents silently burn through tokens via loops, retries, and context bloat, driving unpredictable and often unaffordable API costs.
In their words
it spawned a ton of agents and just waited on them to respond simply because it could, not because the prompt actually needed that much parallel computing
the MCP session cost 11%! The non-MCP one was also done in 3 minutes, while the MCP-driven one took 27 minutes!
Sonnet is proving to be more cost effective and efficient at session orchestration than both Opus and Fable.
It consumed cache tokens every time, and for example I found barbarities such as 10,000 input tokens, 50,000 output and 100,000,000 (no joke) of cache
I went from burning my entire 5 hour budget in less than an hour, to burning about 20% of it on the same task.
the devs on my team has been using up a ton of the budget for all sorts of different projects
Ontem eu queimei 90 dólares em tokens para mudar uma linha e adicionar um try/catch
Most of us have beefy systems that are being under utilized.
token é cobrado como ligação de telefone nos anos 90. Você usa, a conta sobe, e só sabe quanto vai pagar quando o boleto chega.
Replit charged me $1,982 in 24 days on a pre-launch app with 1 user — me.
it can easily end up costing $100/day or even more versus $100/month currently
By the time I notice, the cost has already gone through the roof.
My OpenAI CODEX account went rogue and from a simple request took the autonomous decision to launch 826 parallel agents / threads without any authorization on my side
I run a lot of orchestration now where one task spins up 5-10 subagents in parallel, each burns its own tokens
AI agent developers and teams
Where they talk
- r/AI_Agents
- r/ClaudeCode
- r/hermesagent
- r/ClaudeAI
- r/LLMDevs
- r/codex
- r/LangChain
- r/LocalLLaMA
Tools they use today
- Claude
- Claude Code
- ChatGPT
- Codex
- Hermes
- OpenCode
- OpenRouter
- DeepSeek
Why those fall short
- no cost control; company mandates token burning
- no visibility or control over token burn per prompt
- cost metrics SDKs don't work reliably; model serving lacks runtime usage calculation
- no built-in way to route cheap tasks to local models
- no depth limits or cost guardrails; agents fan out uncontrollably
Map of ideas
Drawing the map…