I made an ncurses SPV bitcoin client: bitc

Hacker News

https://github.com/bit-c/bitc bitc is a thin SPV bitcoin client. * 100% C code, * support for linux and mac platforms, * console based: uses ncurses, * home grown async network i/o stack, * home grown poll loop, * home grown bitcoin engine, * supports encrypted wallet, * supports Tor/Socks5 proxy, * multi-threaded, * valgrind clean. You'll need basic dev skills to install it: check-out the code, install dependencies then build. It's all in the README file. I'm interested in all kinds of feedback you may have: feature requests, bugs, etc. Thanks!

Visit product View on Hacker NewsFeb 5, 2014

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Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

70%70% 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.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

54%54% 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 HuntUnlikely to reach the leaderboard · Strong signals: mac, code · Missing: agents, macos, agent

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

36%36% 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

25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

21%21% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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