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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Unverified AI Test Results
Teams struggle to trust and scale AI-assisted testing because agents produce unverified, unreliable results that require manual checking.
In their words
Our developers spend a lot of time finding bugs and testing new features.
There are so many user journeys, edge cases, permissions, and different roles that I don't even know where to start.
Reducing the need to go back and forth copy and pasting is such a time suck.
The same bug keep making its way into production, users keep reporting it, and QA has never managed to catch or reproduce it.
every screen shot he took to find the results visually was costing me 7k tokens each
The test isn't checking that your code works against the API, it's checking that your code works against your idea of the API
None of this can be fixed with "better prompting"; this all requires a lot of deterministic gates to be built around it.
GPT 6 Astra has been doing a pretty good job testing the UI, but it burns through my usage pretty quickly.
Devs are not super familiar with product knowledge outside of their dev functional area when doing QA, so story keep bouncing between product and dev
Right now I'm doing it manually every time: back-and-forth emails to figure out asset counts, guessing at days based on gut feel, writing the proposal from scratch in Word.
the workflow reports success. nobody checks. it didn't actually run, or ran halfway.
Eine Manuelle Dokumentation kostet Zeit - die man nicht hat... im Gegenteil das Kostet dann der Firma oder dem Kunden Geld...
we're trying to build this ourselves with some qa skills. what's the benefit of buying?
So for an enterprise with a 1,000 test Playwright suite, does this basically mean ~2x faster CI times?
QA engineers and solo developers
Where they talk
- r/QualityAssurance
- r/AI_Agents
- r/Playwright
- r/softwaretesting
- r/ClaudeAI
- r/vibecoding
- r/codex
- r/SaaS
Tools they use today
- Playwright
- Claude Code
- Claude
- Codex
- Cursor
- Jira
- MCP
- Copilot
Why those fall short
- quantity over quality; false confidence; no way to judge what is worth testing
- screenshots cost ~7k tokens each; per-run spend on deterministic checks
- AI suggests fixes but QA still manually creates PRs and handles dev work
- Mocks encode assumptions; cassettes go stale; sandboxes don't match prod
- agents only cover part; human must test functionality one by one
Map of ideas
Drawing the map…