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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Semantic Layer Maintenance
Data teams struggle to keep business definitions, metrics, and semantic models consistent, documented, and reusable as data sources and business meaning change.
In their words
I lack control, I can't just copy and paste a table and apply a different filter
The intra-package lineage is definitely a must for us, and column level would be the ultimate.
What's broken every single time is the data model.
We've been able to use this package to build a tool so our warehouse team can work out which reports are using which tables.
field mapping is detective work where the clues are typos and the only witness quit in 2019
if every report uses the employee dimension that's a tough model to change when required
It only takes one person creating their own version of a KPI before people start asking why two dashboards show different numbers.
None of the metrics line up with the source data and now boss is MIA
there's no single place to point someone to understand the full picture
what we actually need is a way for domain owners and analysts to configure monitoring on models they own without needing to write code or open PRs
the cube has lots and lots of calculated dimension members which is very difficult to recreate in Tabular as tabular is too simple, like excel
build a replacement for Power BI on top of Fabric because the semantic models have gotten too expensive
I have a bunch of microservice DB's ... I def need a better way to explore the data.
in a multi-tenant application 90% of tables will link to the tenant table, but those links add little value to the viewer, so hiding these would be nice
Data and analytics teams
Where they talk
- r/PowerBI
- r/MicrosoftFabric
- r/databricks
- r/dataengineering
- r/analytics
- r/BusinessIntelligence
- r/SQL
- r/AI_Agents
Tools they use today
- Power BI
- Microsoft Fabric
- dbt
- Databricks
- Claude
- Excel
- Snowflake
- Cube
Why those fall short
- tools never push back on contradictory data models or duplicated fields
- monitoring, alerting and lineage are not part of the platform
- spreadsheets unreadable after a week; vendor tools lack data model insight
- custom pipeline needed; no direct workspace or REST access
- reinventing the wheel every time; existing solutions try to do too much
Map of ideas
Drawing the map…