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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Ad-hoc Data Request Bottleneck
Non-technical business users can't self-serve data, so they flood analysts with ad-hoc requests that dashboards fail to absorb.
In their words
We're 100% leaving Tableau. The only question is a big one: what's next.
I just feel completely lost! I'm used to coming with analysis for far smaller data sets
the problem is not about data collection or storage (this is already solved), but it is about analysis of that data being prohibitively expensive.
Our user growth has been great, but our data strategy hasn't kept up.
We've reached the point where we need outside help to build a modern data warehouse and stronger analytics capabilities.
customizing a dropdown filter by sales rep which took months to add. And not being able to do it themselves.
dann brauchen die circa zwei Wochen und anschließend bekommt man eine Select zurück
now im taking over the dashboard and setting up a proper pipeline
where is the button to export all this to Excel? We usually just pull the raw data so Brenda can make her own pivot tables
a 6 month backlog for new reporting requests that are obsolete by the time they get to them anyway
Should we replace PowerBI just with HTML and so have a fraction of the cost?
their main concern is still "but what if my boss learns the truth?"
having an AI agent on Slack, that can query readonly dbs for us, check things, debug problems reported by our users, it's pretty great
a majority of the time people are asking for custom reporting tools, it’s because the app’s built-in tools for sorting/filtering/aggregating data aren’t answering the questions they are asking
Analysts and business users
Where they talk
- r/analytics
- r/PowerBI
- r/BusinessIntelligence
- r/dataanalytics
- r/dataengineering
- r/MicrosoftFabric
- r/tableau
- r/dataanalysis
Tools they use today
- Power BI
- Excel
- Claude
- Tableau
- dbt
- Databricks
- BigQuery
- Snowflake
Why those fall short
- no version control, no monitoring, runs on local machines, no data modeling
- No export allowed; EHR tools rudimentary; cannot cross-verify numbers
- BI tools are terrible at ad hoc questions and shallow analysis
- reports show real data that execs do not want to present
- overly complex, non-intuitive, riddled with bugs, no rollback, missing legacy features
Map of ideas
Drawing the map…