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).
Macrows is a native Mac app for people whose spreadheets have become important business systems. Start ith a familiar grid, then add real fields, saved vies, linked records, formulas, row actions, automation, and local AI. Use it for a CRM, project tracker, cntent calendar, inventory list, or research database Local projects stay on your Mac and do not require login. Import CSV, Excel, and Google Sheets data, ten keep the workflow private and easy to manage. Macows gives solo operators and small teams the structue of Airtable, the simplicity of a spreadsheet, and he speed of a native macOS app.
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About Macrows on Product Hunt
“Turn spreadsheets into business workflows”
Macrows was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #103 on the daily leaderboard. A private spreadsheet database for Mac that turns eeryday sheets into CRMs, project trackers, inventorylists, and research databases.
Macrows was featured in Productivity (658.2k followers) on Product Hunt. Together, these topics include over 152.4k products, making this a competitive space to launch in.
Who hunted Macrows?
Macrows was hunted by Vladislav Dyachenko. 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 Macrows stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vladislav Dyachenko