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Blnk Finance, open-source financial core for fintechs

Hacker News

Blnk Finance, open-source financial core for fintechs

Hello HN, We’ve been building Blnk Finance, an open-source financial core for developers that need reliable infrastructure for their fintech backend. We built Blnk Finance to help developers who want to move fast without compromising compliance and correctness. Blnk gives you the building blocks to ship products like wallets, FX systems, credit applications and many more fintech related products. We want to give developers the right tools and developer experience needed to compete and deploy reliable fintech infrastructure. Some of our core modules include: – Ledger: Double-entry system, account balances, transaction entries and workflows. – Reconciliation Engine: Match internal ledger entries with external data sources. – Identity Management system: Create and manage identities, tokenize PII and link identities to balances and transactions. We care deeply about developer experience and we’re building Blnk to be both powerful and approachable from day one. Feel free to explore our documentation and GitHub repository as well! – Docs: https://docs.blnkfinance.com – Repo: https://github.com/blnkfinance/blnk – Landing page: https://blnkfinance.com We’d love to hear your feedback and any questions you might have.

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Actual performance

3points
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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · 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
9%9% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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