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.
Popular:
| # | Idea |
|---|
No idea matches this filter.
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.
Popular:
| # | Pain point |
|---|
No pain point matches this filter.
Manual Multi-LLM Routing
Developers struggle to route requests across multiple LLM providers to control costs, avoid rate limits and outages, and maintain quality without manual effort.
In their words
I just need a fallback provider for when the GLM Coding Plan throws errors.
So instead of me hand-switching between tools and subscriptions all day, one "model" just routes each request to the right expert underneath.
Whenever I bump the intensity to High, Extra, or Max, my token allowance vanishes instantly.
I end up rewriting basically every response before I can use it anywhere, which defeats the whole point.
I'm using fable to orchestrate, and I run out of fable tokens too quickly, leaving opus on its own, and it's ruined my repo.
I spent 20 minutes fumbling with config changes and redeploying before traffic started flowing
What do you guys do when Claude’s API is down and your AI app is dependent on it ?
It had become unsustainable for the business to maintain that level of expenditure, especially when models like DeepSeek offer almost the same level of quality
I was watching my usage tick up roughly 2% per minute. Not per hour. Per minute.
My goal was to understand how to use the strongest model when it actually matters, without burning through my Codex limits on normal tasks.
How is everyone handling routing today? Static rules per task type, an LLM judge picking the model, or just eating the cost?
I got tired of burning Claude/GPT tokens on tasks that don't need frontier reasoning, so I rebuilt my entire coding workflow around Spec-Driven Development with per-phase model selection.
I had consistent problems (5 months back) with OpenRouter and other providers. And very hard to debug.
is there a tool where you just type what you want and it automatically picks the cheapest model that can handle it?
AI developers and platform teams
Where they talk
- r/LLMDevs
- r/AI_Agents
- r/hermesagent
- r/mlops
- r/LocalLLM
- r/ClaudeCode
- r/LangChain
- r/ClaudeAI
Tools they use today
- Claude
- ChatGPT
- OpenRouter
- LiteLLM
- DeepSeek
- Claude Code
- Portkey
- Codex
Why those fall short
- Claude too expensive; DeepSeek similar quality but cheaper
- no cost-aware routing; limits exhausted mid-task
- no guidance on which model fits which task; limits burn fast
- no cost-per-task observability; retry and verification loops add up
- OpenAI model takes more steps, burning more quota than expected
Map of ideas
Drawing the map…