Show HN: Oxlip – a functional IDL compiling to OpenAPI https://ift.tt/RINg1js

Show HN: Oxlip – a functional IDL compiling to OpenAPI https://ift.tt/Rok651J September 3, 2023 at 06:06PM

Show HN: You wanted SMS, you've got it (HN community is awesome) https://ift.tt/lsO4GJc

Show HN: You wanted SMS, you've got it (HN community is awesome) The HN Community is awesome! Since posting in April about my frustration with PagerDuty and why I built All Quiet, I received many direct emails with feature requests or product roadmap questions. Out of this eager engagement we could integrate a bunch of cool new features: Since my post in April regarding my frustrations with PagerDuty and my rationale behind creating All Quiet, I've received many direct emails containing feature requests and questions about our product roadmap. Thanks to this awesome engagement, we've been able to integrate several fantastic new features: SMS & Voice Calls: ------------------ Initially, we weren't convinced that this would align with our product strategy. After all, why opt for SMS when there are push notifications? However, the demand for this feature was undeniable, so we went ahead and built it! https://ift.tt/Zh2RSqN... Do Not Disturb Overrides: ------------------ We've rolled out a comprehensive guide for Android app users, ensuring they can seamlessly configure their DnD overrides. https://ift.tt/1NUK9pA... We're in the queue, awaiting Apple's green light for the "Critical Alert" entitlement. We've already coded the support for this in our iOS app. Schedules & Rotations: ------------------ This was a top request from the community — tools to manage rotations and schedules. We collaborated directly with teams that asked for this feature. The experience was genuinely collaborative, and we're immensely grateful to the teams that helped shape this functionality. https://ift.tt/tmpjFeh... Login through Google & Microsoft: ------------------ Given that many teams use Google or Microsoft for authentication, it was only logical to incorporate these platforms as login providers. https://ift.tt/BmfU6Tn September 3, 2023 at 01:56PM

Show HN: A .bit gateway for resolving ipfs:// to https:// https://ift.tt/1yeOXrN

Show HN: A .bit gateway for resolving ipfs:// to https:// bit.site dynamically captures all requests to *.bit.site, automatically resolving the IPFS/IPNS/Skynet content hashes for the corresponding .bit account records. It returns the relevant static content via HTTPS, enabling users to access decentralized networks with zero configuration on modern browsers. At the same time, we provide global CDN acceleration, striving to enhance the availability of decentralized content. https://bit.site/ September 2, 2023 at 09:00PM

Show HN: Menu Bar Calendar on macOS https://ift.tt/O0YgMKB

Show HN: Menu Bar Calendar on macOS https://ift.tt/1CYGsvz September 3, 2023 at 02:27AM

Show HN: I mirrored all the code from PyPI to GitHub and analysed it https://ift.tt/D7RvCQw

Show HN: I mirrored all the code from PyPI to GitHub and analysed it This is a side project I've been working on for the last few months. I built an automated system to continuously mirror all the code on PyPI to a series of Github repositories. Mirroring PyPI code to Github enables: 1. Scanning of all new Python packages for accidentally published credentials 2. A browsable/searchable index of published code with a nice UI 3. Large-scale analysis of all published code to see how the language is evolving Using this project anyone is able to download the contents of PyPI to their personal machine and analyse every piece of code ever published in a matter of hours. I hope it enables people to do things with the worlds largest and oldest corpus of Python code that wasn't possible before, and while this is likely totally useless to most people I think that is kind of cool and unique. https://ift.tt/5S7k8i3 September 3, 2023 at 12:15AM

Show HN: Modular Diffusion – A Modular Python Library for Diffusion Models https://ift.tt/8PGVhNS

Show HN: Modular Diffusion – A Modular Python Library for Diffusion Models Hello everyone! I've been working on this project for a few months as part of my thesis in Machine Learning. It's meant to be a library that provides an easy-to-use but flexible API to design and train Diffusion Models. I decided to make it because I wanted to quickly prototype a Diffusion Model but there were no good tools to do it with. I think it really can help people prototype their own Diffusion Models a lot faster and only in a few lines of code. The base idea is to have a Model class that takes different modules corresponding to the different aspects of the Diffusion Model process (noise schedule, noise type, denoising network, loss function, guidance, etc.) and allow the user to mix and match different modules to achieve different results. The library ships with a bunch of prebuilt modules and the plan is to add many more. I also made it super easy to implement your own modules, you just need to extend from one of the base classes available. Contrary to HuggingFace Diffusers, this library is focused on designing and training your own Diffusion Models rather than finetuning pretrained ones (although this is possible). I would really appreciate your feedback. https://ift.tt/o1Sl9rh September 2, 2023 at 07:46PM

Show HN: npm i novel – open-source Notion-style editor https://ift.tt/fyMBEYc

Show HN: npm i novel – open-source Notion-style editor https://ift.tt/VWme1CZ September 1, 2023 at 10:54PM