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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Catching AI Hallucinations
AI tools produce confidently wrong or fabricated outputs that workers must manually catch, verify, and correct before use.
In their words
the time spent on manual verification is eating up all the time we supposdly saved on drafting
The task that eats the most time every week isn't doing the work, it's confirming the work already happened
judgment work is still human evenings dressed up as GTM engineering
please for the love of God stop sending me the slop. At least read it first before firing it over to your colleagues.
I told him that isn't possible which he did not like, then once again asks what stains could achieve that look
I saw constant errors coming out of the tool they'd built to replace a person
I worked a full week only to get generic notes written by chatGPT.
I have to spend time investigating the request or justifying why we shouldn't do it
my team is burning dozens of hours on all of this just to get us unblocked
Someone still has to review the AI-generated content, clean up the AI-generated leads, curate the data, check the output, and make sure everything is actually usable.
I'm editing for a machine that is sending me on an endless loop?!
I have non-native speakers giving me sophisticated answers about our regulatory compliance. Those answers obscure the fact that those people don't understand the questions they're being asked.
he can generate it in 5 minutes and I get to spend 3 hours correcting
I was working on a project that required a lot of research, I caught it hallucinating... This got me worried if all of my previous research had been wrong
Knowledge workers and teams
Where they talk
- r/AI_Agents
- r/antiai
- r/ClaudeAI
- r/ClaudeCode
- r/sysadmin
- r/aisolobusinesses
- r/auscorp
- r/smallbusiness
Tools they use today
- Claude
- Copilot
- Claude Code
- ChatGPT
- Gemini
- Slack
- Codex
- Google Analytics
Why those fall short
- LLMs lack environment context, use outdated docs, hallucinate
- AI makes up data and has low accuracy
- generic output inaccurate for project specifics; hallucinates; not trained on internal policy
- AI output is verbose, hallucinated and lacks context or concision
- AI hallucinates and gives mismatched product codes and fake items
Map of ideas
Drawing the map…