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bframe – An open source billing library based in SQL

Hacker News

bframe – An open source billing library based in SQL

Hey HN, I wanted to share bframe an open source billing library I've been working on. The business logic is primarily in SQL and the launch client is in python. bframe is a wrapper around a duckdb connection which makes it easy to extend and understand. The largest difference between bframe and alternatives is how we treat persistence. The library connects to an existing store (bring your own infra), while other solutions use their own storage. This has several benefits if you are willing to provide your own store: a single source of truth (no weird syncing), the library can be directly used without a server (e.g. pip install bframelib), sources are generally fungible (use CSVs, JSON, postgres, etc). bframe does a lot more which can be seen in our documentation: https://bframe.work The github repository can be found here: https://github.com/bframe-work/bframelib The project is still very much in development so I appreciate the feedback. If this project interests you and you'd like to chat more send me a message @ allan at bframe.work

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3points
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Product HuntOn track for Day 1 leaderboard · Strong signals: single, open · Missing: mac, agents, macos
86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · Missing: https docs, excited, just released
71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% 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
31%31% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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