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Brazilian service to automatically issue NFSe

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Brazilian service to automatically issue NFSe

Olá! :) I built NotaSync, wich is a service to help Brazilian indie developers and solo builders stay on top of their tax obligations by integrating their Stripe accounts and automatically issuing NFSe (invoices) for each sale or charge. A little context: here in Brazil, companies that offer services, are required to issue a specific type of invoice called a nota fiscal de serviço (service invoice). They are different from regular invoices abroad. Our invoices have to be registered with the local city government where you have your company registered to ensures proper taxation and compliance with local laws, as service taxes in Brazil are typically managed at the municipal level rather than at a national level. Let me know your thoughts. Thanks!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
69%69% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: stripe, context · Missing: mac, agents, macos
63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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