This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
ThinkRows
Clear answers from messy spreadsheets, minus the chaos
ThinkRows turns raw Excel workbooks into clear, usable datasets. It finds every table across your sheets, maps relationships, checks which business questions the data can reliably answer, and helps you build a clean, reviewed workbook ready to export.
Hey, thanks for checking out ThinkRows!
Here’s the story...
A few months ago, our team was handed the kind of Excel files that make you close your laptop and stare out the window for a while.
There was no clear schema, several tables were mixed into the same sheets, and much of the meaning was hidden in abbreviations and “everyone here knows what this means” terminology.
Before cleaning anything, we needed to answer a more basic question: Is this data actually useful - and can it support the questions we care about?
Finding out took several weeks of opening files, locating the real tables, tracing relationships, decoding business logic, and documenting assumptions. We eventually got there, but the discovery work was slow, repetitive, and unsurprisingly exhausting.
That experience led me to build ThinkRows.
ThinkRows is designed for the first discovery pass over Excel files, before you invest significant data science resources.
It:
- identifies tables hidden across sheets
- maps the relationships between them
- summarizes what the dataset appears to cover
- checks whether the dataset supports your business questions and highlights where more data is needed
- supports data transformations that turn the relevant information into a clean, reviewed workbook
The goal is not to replace analysts. It is to help them understand what they have before spending days cleaning and transforming data, or building reports from the wrong data.
For this launch, we also created an interactive sales report demo that shows the full flow - from a workbook containing mixed tables and notes to a focused, usable result.
I’d genuinely appreciate your feedback:
- Does the problem feel familiar?
- Would you trust a tool like this to perform the first pass over unfamiliar workbooks?
- Which part of the workflow would save you the most time?
- What would you need to see before using it with real company data?
Thanks for taking a look. I’ll be happy to answer any questions and, of course, learn from your feedback!
No comment highlights available yet. Please check back later!
About ThinkRows on Product Hunt
“Clear answers from messy spreadsheets, minus the chaos”
ThinkRows was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #65 on the daily leaderboard. ThinkRows turns raw Excel workbooks into clear, usable datasets. It finds every table across your sheets, maps relationships, checks which business questions the data can reliably answer, and helps you build a clean, reviewed workbook ready to export.
ThinkRows was featured in Spreadsheets (9.9k followers), Artificial Intelligence (475.9k followers) and Data & Analytics (5.8k followers) on Product Hunt. Together, these topics include over 118.5k products, making this a competitive space to launch in.
Who hunted ThinkRows?
ThinkRows was hunted by Georgi Grazhdanski. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ThinkRows stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Georgi Grazhdanski