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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Unreliable Multi-Step Agents
AI agents fail at reliable multi-step planning, tool use, and state management, causing loops, drift, and wasted resources.
In their words
it just collected a list of images and the image directory was empty
I asked it to fix the timezone 55 times, and on 32 occasions it confirmed that the issue had been resolved.
we went with Confident AI because it seemed like the most feature-rich option for what we needed
Running 800k eval judgments/week at $2.4k/month judge spend. anyone optimized this without losing signal?
the hard part is keeping the agent working after 12 edits, 3 tool changes, and one model update nobody warned you about
Three weeks in, when an API deprecates a field, a rate limit changes, or the platform tweaks a flow and the agent starts confidently doing nothing.
An AI Agent apparently created a custom security rule that flagged all of our company's network traffic as DDOS.
pessoas perdendo mais tempo ensinando e corrigindo agentes do que efetivamente trabalhando
Every 4 turns or so it does something completely braindead.
The agent got a partial result and made a perfectly reasonable decision based on bad information.
Every little thing takes 5+ minutes to actually do. We are talking about simple things that would take a normal person seconds
It took around 3 minutes and burned through roughly 45,000 tokens to do something I could probably do manually in about 10 seconds.
It now cost me $17.00. It took nearly 30 minutes. To write a note in Joplin!
if only the disk survives and the profile resets, agents re-authenticate constantly and that cost shows up as time rather than dollars.
AI agent developers
Where they talk
- r/AI_Agents
- r/LLMDevs
- r/hermesagent
- r/aiagents
- r/LocalLLaMA
- r/LangChain
- r/ClaudeAI
- r/mcp
Tools they use today
- Claude
- Hermes
- Claude Code
- MCP
- Codex
- Qwen
- ChatGPT
- OpenClaw
Why those fall short
- Contradicting in claude.md does not work; model refuses anyway
- model does not stop and ask for guidance; adds useless unrequested changes
- agents cannot predict nuances in some tasks
- smaller model makes braindead decisions, ignores guidelines, undoes wrong changes
- sync/async mismatch; guardrails never cover everything, failures keep slipping through
Map of ideas
Drawing the map…