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 Runtime Gaps
Teams lack a unified, versioned, secure runtime to build, deploy, and govern AI agents in production.
In their words
shared ~/.claude.json meant one agent could reach another project's tokens
every other program talks to it instead of having to do research to add this or that model from openrouter
What I would pay for is an agent harness for the business / non-coding work.
Trying to reliably review, reproduce, or audit it becomes much harder compared to the static code workflows most of us are used to.
Seems to be the same old story, you need another ai to fix it every time.
every single time I update OpenClaw to latest version, something breaks, always and then it takes days to fix those issues
Trying to reliably review, reproduce, or audit it becomes much harder compared to the static code workflows most of us are used to.
Nothing fails and nothing warns you. Every command succeeds. You only notice when Claude breaks a rule you wrote down.
rolling back the application didn't necessarily mean rolling back the agent
the pipeline, the whole delivery setup, we had to basically rip that out and do it again for how the agents work
if your agent in prod started making costly decisions tomorrow, could you actually restore its exact state from 30 days ago? Not just the code, the whole thing.
agent A changes an interface, it's local and uncommitted, agent B on another machine keeps generating against the old shape
if you use Anthropic's harness you'll always be at the risk of sudden breakage from server-side changes that are opaque to the end user, which is a tricky one for building long lasting processes.
i don't control the harness and i cannot build the necessary guardrails needed to use agents in a mature way
AI agent developers and platform teams
Where they talk
- r/AI_Agents
- r/hermesagent
- r/ClaudeCode
- r/devops
- r/LLMDevs
- r/ClaudeAI
- r/openclaw
- r/copilotstudio
Tools they use today
- Hermes
- Claude Code
- git
- MCP
- Codex
- Claude
- LangGraph
- OpenClaw
Why those fall short
- cannot continue cli sessions to slack without corrupting sqlitedb; no grouped project view
- thresholds not configurable; no logging; plugins cannot register skills or change system prompt
- frameworks treat prompts as config strings; model and tool state not locked together
- no higher-level standard for what a reusable operational system contains
- GUI just abstracts config entries; no well-designed pages, poor UX
Map of ideas
Drawing the map…