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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Manual Lab Data Analysis
Scientists and lab teams lack accessible, reliable tools for routine data analysis, QC, and compliance, forcing manual, error-prone workarounds.
In their words
Our company has a handful USB dongles for the gTILT software but shared amongst 40+ people. It's a pain but we're barely able to make it work.
I do not want to spend time cleaning / arranging / excavating the data, just do it for me quickly
Is there another tool someone would recommend based on some must-have requirements below
Has anyone actually gone through a PTFE substitution exercise? What did you land on and what did you have to give up?
half of the critical details never make it into the methods section, yet we're somehow expected to magically reproduce their results
Papers say raw data is "available upon reasonable request," but corresponding authors just don't answer.
how dependent we are on expensive proprietary software just to draw a curve
I am expected to generate publication ready figures every week for each project I am involved in.
simulation takes time to build and validate, management usually dont want to wait. we end up using excel or just rough calculations for most decisions
If you've left Benchling, how bad was the export? Did sample lineage and attachments survive, or did you lose structure on the way out?
Online I'm seeing that it can go as high as 16 work hours for one SDS, but that feels excessive.
we are speaking of 1000 samples per stand, so I hope you understand that this is a lot of work to do manually.
i have a heterogeneous mix of hardware that speaks a bunch of different protocols ... and I want to be able to talk to it from one central computer
with ai tools available, post hoc secondary analysis of studies (like this) has to be insanely easier to run through. Are there are companies/individuals focused on this specifically?
Lab scientists and analysts
Where they talk
- r/bioinformatics
- r/labrats
- r/massspectrometry
- r/CHROMATOGRAPHY
- r/biotech
- r/medlabprofessionals
- r/comp_chem
- r/Chempros
Tools they use today
- Excel
- Claude
- R
- Seurat
- BLAST
- Fiji
- IGV
- ImageJ
Why those fall short
- papers lack data, hyperparameters, runnable code; results not transparent
- legacy access and mirrors fail; GTF files cannot replace complicated annotation cases
- requests are scarce and manager keeps gatekeeping data access
- no verification of accessions, files or metadata; authors simply do not answer
- clumping persists regardless of tube type; scattergram errors block retic results
Map of ideas
Drawing the map…