OpenBLE, Swagger for Bluetooth

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OpenBLE is an API specification language and client generator for Bluetooth services built on the generic attribute (GATT) profile. Bluetooth development is a mess. Too many datasheets, too little documentation and SDK fragmentation across platforms. I built this tool to improve documentation, version control and development speed for BLE programs. Even though shunned by Apple and Mozilla, Web Bluetooth enjoys wide support and just works. It makes sense to build the frontend for OpenBLE using web Bluetooth. No SDK hell, no installations, wide support albeit experimental. I could ship the spec, SDK, code generator and testing framework in pure JavaScript.

Visit product View on Hacker NewsOct 12, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, using, code · Missing: mac, agents, macos

73%73% 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: ide, io · Missing: https docs, excited, just released

62%62% 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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% 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.

Correct prediction on native model

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