Show HN: Mapedia.org – A Crowdsourced Learning Map https://ift.tt/2YKDuaw

Show HN: Mapedia.org – A Crowdsourced Learning Map Hi HN! We're happy to announce the launch of Mapedia.org, an open source crowdsourced learning map! Mapedia is a new kind of learning platform at the crossroad between Wikipedia, Google Maps and Khan Academy: a learning map built collaboratively to support online learners to learn any topic seamlessly. We built an interactive learning map of topics to be able to visualize the different fields of knowledge, what concepts are included in them and how they relate to each other. This allows for curiosity based exploration, identifying knowledge gaps (unknown unknowns) and figuring out what to learn next (and in which order). For each topic you can then find community and expert curated resources, learning advices and smart recommendations in order to learn as efficiently as possible. We want people to spend time learning rather than figuring out how to learn, and in particular to empower self-directed learners. The idea came out of the frustration and inefficiency of learning online, and I've been working on it for 2 years now. The vision in itself for it is not so new, Mapedia is rather a different take on it that particularly believes in the potential of crowdsourcing and online communities. Our roadmap includes implementing learning groups based on shared goals rather than shared course/learning material, customizable "constructive" feeds of learning materials and adaptive learning paths. The topic map is obviously far from complete and we are still in the early product iterations, but you can checkout a few examples here: https://ift.tt/8uZdMIm -> The explore map from the top level topics https://ift.tt/QqVg8up... -> the map focused on functional programming, showing how concepts relate to each other https://ift.tt/bsGWB8P... -> the page for the functional programming topic, with curated resources https://ift.tt/XiW8qey... -> an example of a learning path (this feature is in a very alpha version) Let us know what you think! We're very open to feedback and suggestions https://mapedia.org/ July 15, 2022 at 11:57PM

Show HN: A US Evolution Simulator https://ift.tt/k4nlhQr

Show HN: A US Evolution Simulator https://ift.tt/CbVmpGQ July 15, 2022 at 12:57AM

Show HN: Bytewax – Python Stateful Stream Processing on Timely Dataflow https://ift.tt/e3QdxkE

Show HN: Bytewax – Python Stateful Stream Processing on Timely Dataflow https://ift.tt/K0tBxWc July 14, 2022 at 11:27PM

Show HN: Zordle – Wordle but with zero-knowledge proofs https://ift.tt/47hvljS

Show HN: Zordle – Wordle but with zero-knowledge proofs https://ift.tt/8QkXCLG July 14, 2022 at 11:24PM

Show HN: Payload, X-Platform Desktop App for LAN File Transfers [Tauri/Rust, Go] https://ift.tt/iDsAW0g

Show HN: Payload, X-Platform Desktop App for LAN File Transfers [Tauri/Rust, Go] Hi HN. I built Payload to make file transfers easy for less-technical users who need large/fast transfers, so I have focused on auto-discovery, drag-and-drop, visually distinct device icons. It's using Tauri (an "Electron alternative" built on Rust) which keeps my binaries small and bundles to .msi, .dmg, .deb and .appimage. No CLI, iOS or Android support (yet). The network stack is a separate binary written in Go. It uses mDNS for local network discovery and TLS over TCP or Quic, with a public Ed25519 keypair for each device. The protocol is ad-hoc and symmetrical control stream using JSON and binary data streams. Planning to open source these parts eventually.. Transfers should saturate the local network link. It reaches ~116 MB/s wired at my home, but if you have a >1000 Mbit link, I'd be curious to see how much speed you can squeeze out. See also: https://ift.tt/9J085Q7 https://ift.tt/57atQnJ https://payload.app/ July 15, 2022 at 12:46AM

Show HN: Cargo-semver-checks, a fast CI-friendly query-based Rust semver linter https://ift.tt/XaYvJS1

Show HN: Cargo-semver-checks, a fast CI-friendly query-based Rust semver linter https://twitter.com/PredragGruevski/status/1547227278865842178 July 14, 2022 at 11:51PM

Show HN: Old News – News that gets better the *less* you read it https://ift.tt/Agpxujo

Show HN: Old News – News that gets better the *less* you read it I’ve always wanted a news app designed for people who don’t stay up-to-date daily. That pays attention to when I check-in and what stories I’m aware of and adapts to me. You see, I’m not a good “follower” of the news, and I “catch-up” fairly infrequently. When I do, I want to see the most important things I’ve missed in the meantime, not today’s top stories. I’d like to emerge from my metaphorical cave after a week, a month, or longer, and quickly see what I missed. That’s Old News. I built it for myself, but if you’re like me (statistically, you probably aren’t!) you may like it too. It is quite simple. Swipe to see recommended Hacker News stories and the app keeps track of what you’ve seen. When you come back you’ll see the top stories you haven’t seen yet, with a slow exponential decay of the score over time (a big story from yesterday is still more interesting than one from last month). In the future, I’d love to explore making that decay rate user-configurable so that you can decide how much you prefer newer vs. older news. Interesting for discussion, the app truly does get more useful the less you use it. If you check Hacker News daily, this probably won’t be useful at all! If you are like me, though, value per time used is super high. I’m really keen on this as a concept, and I think it’s worth more developers exploring it. Sure, it’s not great for “engagement” numbers, but I suspect there is a big latent demand for software that actively encourages us to use it less. Download Old News here: https://ift.tt/zrUNC92 Caveats: - iPhone only (sorry!) - Probably missing features you consider “essential” for a news app (I like simple!) - No business model, just free hobby software July 14, 2022 at 11:48PM