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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Failed AI Adoption Tracking
Organizations buy or mandate AI tools but employees never adopt them, and managers lack visibility into real usage or productivity impact.
In their words
they usually realize three people are using it every day, and the rest of the company hasn't logged in since week one
they bought chatgpt enterprise licenses for the whole team and just expected magic to happend
We're seeing really low usage of the features
for a law firm with 100+ lawyers of radically varying technical abilities and understandings, the bespoke product is an easier, safer sell.
all we are allowed to use is Copilot which sucks
We are being asked to track how often we use AI, and estimate how much time each AI task saved us.
He thinks he can vibe code and build the next faang by himself. Dude we need people.
we are being monitored on AI usage and threatened with our jobs if we don’t meet their high baseline usage immediately
One client went from 71% Copilot adoption to 34% in six months.
It gives managers an excuse to shove excessive work down our throats by saying "get Claude to run this for you and send it back to me" at least 5x a day.
adoption has been slow and the engineers haven’t really built a practice around structuring the repos to be AI optimized
I created and am administering my own custom training program because I couldn't find anything out there that was accessible to total novices
You can make the greatest tools, but if it doesn't fit in the behaviour and the way of working of the engineer, they will simply discard it.
I'm afraid my claude usage will be reflected in my performance review.
managers and employees
Where they talk
- r/antiai
- r/ProductManagement
- r/ClaudeAI
- r/cscareerquestions
- r/AI_Agents
- r/sysadmin
- r/microsoft_365_copilot
- r/humanresources
Tools they use today
- Claude
- Copilot
- ChatGPT
- Claude Code
- Gemini
- GitHub Copilot
- Jira
- MCP
Why those fall short
- AI takes over the implementation work juniors used to learn from
- KPIs measure token burn, not actual productivity
- barely good enough for aggregating industry data; little use beyond emails
- no training, no infrastructure, poor model quality, no production experience
- no centralized way to measure AI time savings across tools
Map of ideas
Drawing the map…