Notch – an off-the-shelf software ecosystem for chips

Hacker News

Hi HN! I'm a firmware developer who, like many others, has always been upset at the state of the firmware ecosystem. Semiconductor companies tend to be very bad at providing useful code and tools for their chips. That's why I started Notch - to handle this stuff for them. Our first product is an off-the-shelf driver generation tool (similar to STM32CubeMX, MCUExpresso, etc.) that can be adapted to any IC, not just microcontrollers. Better yet, it's cross-platform, cross-language (Rust too, if you want), and code can be generated from the terminal, meaning it doesn't lock you in to some shitty Eclipse IDE.

Visit product View on Hacker NewsMar 16, 2023

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

68%68% 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

66%66% 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: code · Missing: mac, agents, macos

61%61% 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.

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

31%31% 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

16%16% 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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