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.
Popular:
| # | Idea |
|---|
No idea matches this filter.
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.
Popular:
| # | Pain point |
|---|
No pain point matches this filter.
Idle GPU and Compute Waste
Teams struggle to efficiently allocate, schedule, and right-size compute resources, leading to wasted spend, idle GPUs, and unreliable scaling.
In their words
How do you decide the numbers, and how do you keep them right over time?
We began to deploy more and more server "on demand" by automatically setting them up through API and shutting them down when not needed. That is a REAL money saver.
waking one up takes three to four minutes: roughly 80 seconds to boot, then another 90 or so to move 18 GB of weights
I'm running 2 plays and total of 200 people enriched and copy generated and burned 15k actions like it was nothing.
AI bots started hammering on it, and so GoDaddy started throwing 503s at customers when it rudely throttled the site.
A provider that does 40ms p50 but 800ms p99 is useless for arbitrage because the p99 is exactly the block where the opportunity existed.
The real problem is there's almost never a feedback loop. Requests get set when you know the least about the workload, then they quietly become permanent even after months of real usage data exists.
They only look for stopage over like 3 minutes or something, when they should be looking at whether they moved any units or not.
They use huge clusters to run simple jobs with only thousands of rows.
How would you implement rate limit for this external dependency?
we've lost access to our HPC. We have one last MD simulation left to finish
Cost Explorer shows me the number, never the owner. This is the boring waste that never trips an alarm, it just quietly rents space in your bill forever.
We want to scale our infrastructure up to 500 RPS while minimizing costs when it isn't in a burst period, validate that with load-testing, and set up monitoring, alerts, and auto-recovery mechanisms where possible.
I’m building a multi-tenant automation platform on top of n8n and need a reliable way to track usage for billing and reporting.
Platform, SRE, and ML infrastructure engineers
Where they talk
- r/kubernetes
- r/mlops
- r/FinOps
- r/databricks
- r/MicrosoftFabric
- r/softwarearchitecture
- r/AI_Agents
- r/LLMDevs
Tools they use today
- Kubernetes
- Prometheus
- VPA
- Microsoft Fabric
- Databricks
- Google Cloud
- Karpenter
- RunPod
Why those fall short
- prices rose; no easy way to cut idle server time
- counts idle minutes, not units moved or pod availability
- Tools only show overprovisioning graphs; no incentive or ownership to act
- defaults overuse RAM; no automatic per-workload ARC tuning
- hard to know how much memory a service really needs; off-heap usage breaks limits
Map of ideas
Drawing the map…