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Fluida – Global Payments for Businesses

Hacker News

Fluida – Global Payments for Businesses

Hey HN, we’re Matteo and Nicolas, the founders of Fluida ( https://www.getfluida.com ): a global payment platform for SMBs with a need to pay suppliers, vendors, and contractors across borders. Check out our demo to see it in action: https://www.youtube.com/watch?v=545IfgVW9mM We started Fluida after seeing how slow, expensive, and opaque it is for small businesses in the US to pay international partners, especially in places like Europe, Latin America, and Southeast Asia. Bank wires take days, fees are unpredictable, and the user experience is stuck in the early 2000s. Fluida makes cross-border business payments as easy as Venmo, but for companies. - From onboarding to payout in a few hours - Pay invoices in EUR, MXN, BRL, COP, PHP and more coming soon - USD in, local currency or stablecoin out - No shady fees, simple monthly subscription - Instant or same-day delivery - Fully compliant, with invoice matching and audit trails We’re built on USD-denominated stablecoins and modern banking rails, but our users never have to touch crypto. Everything happens behind the scenes: they upload an invoice, fund the payment, and it lands with the recipient. Some use cases we’ve seen: 1. A US software agency paying dev teams in Bulgaria and Brasil 2. An ecommerce brand wiring suppliers in Portugal and India 3. A film production company sending payments to freelancers across Europe We’re focusing on the 10M+ US-based SMBs that do business globally but don’t have a finance team or a treasury function. If you’ve ever sent a $2,500 international wire and watched $85 disappear in fees (without knowing why), this is for you. Fluida is live and processing real payments. You can signup for early access or schedule a demo at https://www.getfluida.com and we'll get in touch soon to onboard your company personally. Any thoughts, feedback, or horror stories about cross-border payments and invoicing nightmares are welcome! AMA

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
97%97% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month, monthly · Missing: mobile apps, ios, entrepreneurs
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon, users · Missing: plus, intuitive, reviews
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, using · Missing: mac, agents, macos
26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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