Friday, 27 May 2022

Show HN: Search for Remote Management Systems Exposed to Attack Surface https://bit.ly/3wQmkTf

Show HN: Search for Remote Management Systems Exposed to Attack Surface Search for Remote Management Systems Exposed to Attack Surface Using SSL Certificate Search Feature (ssl_issuer_organization). Search Query on how to Use ssl_issuer_organization filter. https://bit.ly/3wNZ9sW May 27, 2022 at 03:18AM

Thursday, 26 May 2022

Show HN: I made a simple Pastebin clone https://bit.ly/3NW1esH

Show HN: I made a simple Pastebin clone https://bit.ly/3NyK7g6 May 27, 2022 at 12:43AM

Show HN: A standard library for mattn/go-sqlite3 https://bit.ly/38mDQFo

Show HN: A standard library for mattn/go-sqlite3 https://bit.ly/3ar29To May 26, 2022 at 09:25PM

Show HN: Vaxiin – Zombie server recovery engine https://bit.ly/3lPAqhD

Show HN: Vaxiin – Zombie server recovery engine https://bit.ly/38SQ5JZ May 26, 2022 at 03:40PM

Show HN: A Simple and Free Cloud List DB for Static Websites (No-Login Required) https://bit.ly/3LRYdbf

Show HN: A Simple and Free Cloud List DB for Static Websites (No-Login Required) https://bit.ly/3wOMq9c May 26, 2022 at 02:16PM

Show HN: In-demand skills missing from your resume https://bit.ly/3wPa5qa

Show HN: In-demand skills missing from your resume https://bit.ly/3MRWJi4 May 26, 2022 at 02:35PM

Show HN: Our new product Construct Animate now in public beta https://bit.ly/3GmIXly

Show HN: Our new product Construct Animate now in public beta https://bit.ly/3a07XmE May 26, 2022 at 02:10PM

Show HN: Search hard-to-type symbols and copy to clipboard https://bit.ly/3MRcDK2

Show HN: Search hard-to-type symbols and copy to clipboard https://bit.ly/3MPbqmh May 26, 2022 at 06:50AM

Show HN: I turned my face rec system into a video codec https://bit.ly/3wNwvIn

Show HN: I turned my face rec system into a video codec Before the pandemic, my tiny startup was doing quite well selling Edge AI systems, based on our own lightweight AI inference engine, with object detection and face recognition for smart city and smart retail & food service applications. When the real world shut down, there was suddenly nothing to monitor on streets and in restaurants, so I set out to try and evolve our real time face recognition system into a video codec for high quality face-to-face online interactions, as I was not satisfied with the quality of Zoom and friends. I got it to work, and the first release for IOS was just approved on Apple's app store, link: https://apple.co/3wQeTKL The way it works is that you create a meeting URL, which you can share out-of-band, for instance via slack or text message. You can also share as a QR code which the app can scan to join a call. You then place your device on a surface in front of you so that the front camera can see you, and it will recognize you face and assign you to your own session, which is broadcast to the meeting channel. If more than one person is in view, both of you will be broadcast but with separate session ids, like if you were on separate cameras. Other meeting participants will show up on your screen and you can start talking. It is optimized for eye contact, meaning that the eyes will actually make it through to the other side as more than just dark pixel clouds, so thinks should feel a bit more personal than the standard Zoom/Teams/or Google Meet call. Because it uses face rec, you can ONLY show your face, and if you disappear from view your audio will stop after a while, to avoid situations like when you need to go the the restroom but forget to mute. This also solves dick-pics etc. The CODEC is not based on H26[45], but is pure AI that runs on the GPU. There is a neural network that compresses the video in real time, and another one decompressing on the receiving end. Finding a tight network architecture that would do this in real time with acceptable quality was a major part of the effort. There are several quality settings possible, but right now it is set fairly high and for 20FPS maxes out around 700kbit/s, though typically uses about half. I've demonstrated good results down to around 200kbit/s, so in theory it should work over satellite links or even Bluetooth. The protocol is UDP with no congestion control but with (Wirehair) FEC to protect against mild packet loss, future versions will detect packet loss and adapt to available bandwidth. The audio just uses OPUS and may click a little bit, I blame AudioEngine or the fact that the last time I wrote audio code was for the game I published for the Amiga in 1994. If you don't have a friend around or multiple devices to play with, there is an "echo test" server mode that allows you to be in a meeting with yourself. Traffic will be peer-to-peer if possible, but otherwise you will be relaying through my tiny Raspberry PI server, so YMMV. I plan to try to switch to something like fly.io soon to improve scalability. There is also a MacOS version coming very soon, and the underlying AI engine also runs on Windows & Linux. Android support is planned. Please take a look and let me know what you think. https://bit.ly/3t0d7pf May 26, 2022 at 09:45AM

Show HN https://bit.ly/3lIjGZw

Show HN https://bit.ly/3GihAJr May 26, 2022 at 06:56AM

Wednesday, 25 May 2022

Tuesday, 24 May 2022

Show HN: Cube – open-source headless BI https://bit.ly/3a8YU2E

Show HN: Cube – open-source headless BI Hi HN, I'm Igor, a proud part of the team here at cube.dev. I'm excited to share some news about Cube, an open-source headless BI platform that now has almost universal connectivity to both upstream and downstream tools in the data pipeline: https://bit.ly/3MIPGsh If you're confused by "headless BI", there's a blog post to get you covered (https://bit.ly/3Ghp6nD), but the most concise and developer-friendly way to put it would be that Cube can connect to any data source that speaks SQL (from Postgres to BigQuery to ClickHouse to Materialize) and expose your data, conveniently presented as high-level metrics rather than in terms of tables and columns, via a set of APIs, including REST, GraphQL, and SQL API. The last one is particularly interesting, because it gives you an opportunity to deliver metrics through Cube to notebooks like Jupiter or BI tools like Tableau or Superset (all covered by SQL API), just like you can deliver them to front-end applications (covered by REST/GraphQL). Do you see Cube fit for the applications you're building? Let's discuss here or in Cube's Slack community (https://bit.ly/3NoOJWa) where we recently celebrated that Cube has got over 13,000 stars on GitHub (which is not that bad for a developer tool, I guess). May 24, 2022 at 04:09PM

Show HN: Tetra – A full stack component framework for Django using Alpine.js https://bit.ly/3yVARyw

Show HN: Tetra – A full stack component framework for Django using Alpine.js Hi HN, I have been working on Tetra for the last few months and feel it’s now time to put it out there and get some feedback. Please take a look. There are a few fully functional examples on the homepage: https://bit.ly/38hrPBa Tetra is a full stack component framework for Django built on top of Alpine.js. It is heavily inspired by frameworks such as Laravel Livewire and Phoenix Liveview, enabling you to create server rendered components that respond to user interactions reactively. However, it builds on the concept by allowing you to build “hybrid” components that also have full JavaScript capabilities using Alpine.js. It also builds on the trend of bringing the different parts of a component (Python, HTML, CSS, JavaScript) into closer proximity, by keeping all related parts in the same file. It uses esbuild to bundle your JavaScript and CSS, whilst also creating source maps, making it possible to trace errors back to the original Python source files. In terms of future plans, I’m aiming for a v1 release this summer - there is still quite a long to-do list! I have been working on this in my spare time so far, but hope to find the opportunity to work on it full time. I think there is a gap in the current Python framework ecosystem, and I believe, that what I have designed in Tetra plugs that gap. I hope to build this into a significant contribution to the community. Finally, the docs are here: https://bit.ly/3Gmasf1 https://bit.ly/38hrPBa May 24, 2022 at 02:08PM

Show HN: No ML Degree – Landing your first machine learning job without a degree https://bit.ly/3lHr4EB

Show HN: No ML Degree – Landing your first machine learning job without a degree https://bit.ly/3adiVVL May 24, 2022 at 02:12PM

Show HN: I brought the benefits of LaTeX to non technical users https://bit.ly/3al0wGM

Show HN: I brought the benefits of LaTeX to non technical users https://bit.ly/2QBlHI9 May 24, 2022 at 02:20PM

Show HN: Comon – a WinDbg extension to trace COM interactions https://bit.ly/3PQx2B1

Show HN: Comon – a WinDbg extension to trace COM interactions https://bit.ly/3sP6yFN May 24, 2022 at 08:04AM

Monday, 23 May 2022