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Floatwise
Forecast cash flow and prioritize overdue invoices
Hey Product Hunt! I’m Samer, a product designer and developer. I built Floatwise to make cash-flow questions easier for small teams: what is owed, what needs attention, and what could happen if payments arrive late. The public demo uses synthetic data and is read-only; it is an open-source MVP, not a banking product. I’d love feedback on which forecasts and collection signals feel most useful, what is confusing, and what would make this trustworthy for everyday finance operations. Thanks for exploring!
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About Floatwise on Product Hunt
“Forecast cash flow and prioritize overdue invoices”
Floatwise was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #515 on the daily leaderboard. Cash-flow forecasting for small businesses. Explore 90-day scenarios, track overdue invoices, prioritize collections, and review 100 explainable finance signals. Demo uses synthetic data.
Floatwise was featured in Fintech (47.8k followers), GitHub (41.5k followers), Finance (6.5k followers) and Accounting (1.9k followers) on Product Hunt. Together, these topics include over 65.6k products, making this a competitive space to launch in.
Who hunted Floatwise?
Floatwise was hunted by Samer Tallauze. 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.
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Samer Tallauze
Hey Product Hunt! I’m Samer, a product designer and developer. I built Floatwise to make cash-flow questions easier for small teams: what is owed, what needs attention, and what could happen if payments arrive late. The public demo uses synthetic data and is read-only; it is an open-source MVP, not a banking product. I’d love feedback on which forecasts and collection signals feel most useful, what is confusing, and what would make this trustworthy for everyday finance operations. Thanks for exploring!