I just launched RGAnalyzer 🚀
It turns sales CSV/Excel files into KPI reports, charts, data quality checks and professional exports.
Built for people who need a readable report from a spreadsheet, fast.
Feedback welcome:
https://t.co/OBjYQTv7t5
Yeah, me too ! 😉
The target is anyone who has sales data in CSV/Excel, or a CRM without simple reporting built in.
At first I thought mostly freelancers and small businesses, but even bigger teams can have this problem.
Sometimes BI/CRM reporting is too expensive, too slow to set up, or too much effort for a simple sales report.
Thanks ! Fair question :)
I’m not trying to beat BI tools by becoming another BI tool.
The bet is that many small teams just have a messy sales CSV/Excel export and need a quick way to clean it, check it, understand the key numbers and export a clear report.
RGAnalyzer focuses on that narrow workflow:
messy sales file => preprocessing => KPI report => clean exports.
Less setup, less complexity, and more trust around the data.
Hey :)
I’m looking for honest feedback on RGAnalyzer.
It turns sales CSV/Excel files into clear KPI reports. I’m mainly trying to improve the UX, onboarding and whether the demo/report is easy to understand.
Uploaded files are only used to generate the report, not to train AI models.
Demo:
https://t.co/ow5AukDjzv
Thanks, I really appreciate it !
It all started with a problem I encountered in my previous jobs: sales data came from CSV or Excel exports, and turning it into a clear report required a lot of data cleaning, formulas, charts, and repetitive manual tasks.
I first created a small script for my own use, then realized that many small teams had the same need: to get a clear initial overview of an existing sales file without having to set up a full BI infrastructure.
Another thing that motivated me to redo it properly was seeing how people were starting to mindlessly upload sensitive sales data into AI tools, without always asking where that data was going or how it was being used.
So I wanted RGAnalyzer to take a more controlled approach: structured calculations, data quality checks, clear reports, and no reliance on a generative AI interpretation of the file.
If you’ve had a chance to check out the demo, I’d love to hear your thoughts on the positioning or on the report itself.
RGAnalyzer launches tomorrow on Product Hunt 🚀
It turns sales CSV/Excel files into clear KPI reports, charts, data quality checks and share-ready exports.
I also added a live demo with fictional data:
no account, no upload, no quota.
Would love your feedback when it goes live 👇
https://t.co/CJvIjmiaKo
@ProductHunt 🙏
Excel isn’t the problem.
The problem is when every sales export turns into the same manual routine:
clean the file
check the columns
rebuild formulas
create charts
prepare something readable
export it for a meeting
Again and again.
That’s the workflow I’m trying to simplify with RGAnalyzer.
Raw sales CSV/Excel file → clean first report, KPIs, charts, data checks and exports.
There’s a gap between:
“Here’s a raw sales spreadsheet”
and
“Let’s build a full BI setup.”
That gap is where many small teams actually live.
They don’t always need a complex stack.
They need a clear first read:
key sales KPIs
top customers
top products
data quality issues
clean exports to share
That’s the space I’m building RGAnalyzer for.
Most small teams don’t need a complex BI setup on day one.
They need to answer simple questions fast :
What are we selling?
Who are our top customers?
Which products drive revenue?
Is the file clean enough to trust?
That’s why I built RGAnalyzer.
Upload a sales CSV/Excel file => get a clean KPI report, charts and exports.
https://t.co/U0HOrYeOzG
A clean dashboard doesn’t mean clean data.
You can have beautiful charts, perfect colors and a polished report…
but if the source file has messy columns, missing values or wrong formats, the decision can still be wrong.
Data quality comes before visualization.
#Data
#Analytics
#SaaS
#BuildInPublic
One thing I’m learning with RGAnalyzer:
asking someone to upload their own sales file is already a big step.
So I’m working on a one-click sample report first — no file needed, just a quick way to see what the product can generate.
Less friction before asking for trust.