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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Metric Definition Conflicts
Teams define the same business metrics differently, causing dashboards to be distrusted, disputed, and rebuilt.
In their words
those reporting meetings used to be the absolute worst part of my week
Management wants numbers, what KPIs do we give them?
I ended up spending almost an hour answering Slack messages about why revenue in one report didn't exactly match another
It pains me deeply to see all these decisions being made with no data or metrics.
every team wanted their own version of the same metric with slightly different logic
each time they want something new I have to manually code the new columns test it then append to the final gold table
I agree that we need more ways to embed situational context and documentation (with markdown)
The most annoying part wasn’t building the dashboard; it was getting everyone to agree on what the numbers actually meant.
What exactly is the criteria or pattern that leads to a performance plan?
Two teams say "active user" and mean two different things. Nobody notices until a dashboard migration or a stakeholder meeting where the numbers don't match
How do you clean up 10 years of metric sprawl? Looking for a framework
They can't even align on the NAMES of things. Not even the names of locations have the same thing across reports.
It wasn’t until I showed some basic charts about our core database being oversubscribed and at risk of a more serious incident.
different parts of the organization had a different idea of what a "user" of the core product was
Analytics and business teams
Where they talk
- r/analytics
- r/PowerBI
- r/BusinessIntelligence
- r/dataanalysis
- r/datascience
- r/SaaS
- r/dataengineering
- r/hubspot
Tools they use today
- Databricks
- Power BI
- dbt
- Cube
- Excel
- Claude
- Genie
- Tableau
Why those fall short
- no single place where metric definitions live and reports pull from
- no shared semantic layer; definitions copy-pasted and drift across workbooks
- users still complain data is wrong
- no single documented source of truth for metric definitions
- Metrics reflect others' delays and site behavior, not CRA performance
Map of ideas
Drawing the map…





