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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Silent Data Corruption
Automated pipelines and reports silently produce wrong, duplicate, or incomplete data due to unvalidated inputs, schema changes, or misconfigured checks, forcing manual reconciliation.
In their words
A full validation sweep might take hours, but our builds run in minutes.
I'm not a developer, so Im not sure if our calculations read correctly or the app is safe
I'm approving dozens of payments and millions of dollars in disbursements every day
We had no auditing or validation logic, customers would just get immediate bad data.
There was a coding error which read the kafka event from the source and saved the opposite data in the application
somebody updated an input on the wrong tab and the dependent cells didn't recalc the way they assumed they would
we started getting submissions back from the managers, it was largely unusable and we had to start over
our qa test isn't actually testing what it should because we're manually editing files before each environment deployment
once there are a lot of versions it gets pretty annoying and I'm always slightly paranoid I've missed something
it's just more time I'm spending chasing down information to once again tell someone they're doing it wrong
our qa test isn't actually testing what it should because we're manually editing files before each environment deployment
It is costing time and money because I am the last person to see it and I have to correct it.
I spent six months unable to pay my council tax bill because their stupid system was treating the sort code as an integer
many case it’s not occurred error, just pass through with plausibly wrong parsed data
Data and automation engineers
Where they talk
- r/AI_Agents
- r/LLMDevs
- r/n8n
- r/dataengineering
- r/nocode
- r/salesforce
- r/analytics
- r/workday
Tools they use today
- Excel
- n8n
- Claude Code
- Power BI
- Salesforce
- Workday
- Claude
- Copilot
Why those fall short
- a wrong report looks exactly like a right one until someone asks
- no auditing, validation, monitoring or insights; AI code rushed without understanding
- no automated validation or alerting on critical data correctness
- no protection or recalculation guarantees between tabs
- No pre-load diff or overwrite protection; errors surface only after production impact
Map of ideas
Drawing the map…