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SaaS ideas, mined from what people actually complain about.

Every idea comes from real Reddit posts, was researched against today's competitors, and survived an independent skeptic before it made the list.

Uncontrolled AI Token Spend

Teams cannot see, attribute, or control unpredictable AI/LLM token and API spend across users, agents, and workflows.

In their words

A one-word message with barely any tokens showing should not cost ~$20.

r/ClaudeAI on Reddit

How much does it cost me to sustain a real month of software-development workload?

r/DeepSeek on Reddit

10,000+ in a single day on normal research. One month I burned through ~$500 just trying to get work done.

r/perplexity_ai on Reddit

I spend more time fighting the models now than actually getting anything done.

r/ChatGPT on Reddit

Cursor does NOT give you any indication what models Auto uses and you can only find out digging into usage history at dashboard.

r/cursor on Reddit

My organization used all of its tokens on September 1st. We went from $400/year/seat to now $500-$2000/month based on the person’s usage.

r/FPandA on Reddit

I am being fired at the end of this month as my cursor & claude token usage were not up to the mark.

r/developersIndia on Reddit

Another con is that it's token hungry. Like it consumes a hell lot of tokens.

r/hermesagent on Reddit

Everyone's focus is on improving engineer productivity rather than improving product.

r/developersIndia on Reddit

They are now limiting the credits as people are burning more than 100USD per day.

r/Btechtards on Reddit

the license is fixed, the meter is not, and nobody has budgeted for the meter yet

r/microsoft_365_copilot on Reddit

as assinaturas de IA estão saindo do controle e destruindo o resultado

r/brdev on Reddit

I'm running 4 right now and the monthly bill compounds quickly. Pay-as-you-go is the right pricing model for this category.

Product Hunt

The wedge I'd pay for here is workflow-level cost plus fallback attribution in one place, thats the bit the native dashboards still miss.

Indie Hackers

Engineering, FinOps, and AI teams

Where they talk

  • r/AI_Agents
  • r/SaaS
  • r/LLMDevs
  • r/ClaudeAI
  • r/codex
  • r/FinOps
  • r/GithubCopilot
  • r/ClaudeCode

Tools they use today

  • Claude
  • Claude Code
  • ChatGPT
  • Codex
  • Copilot
  • Gemini
  • LiteLLM
  • Cursor

Why those fall short

  • Shows tokens used only after sending, not the cost beforehand
  • tools count tokens but no way to meet arbitrary quotas without waste
  • Lower thinking settings read more files and spawn subagents, burning quota
  • no transparency on what usage means or how much a request costs
  • token hungry; skill creation and optimization consume a lot of tokens