Show HN: Proxmox -> Share your host's Bluetooth with a VM over the network https://ift.tt/VzYcgNy

Show HN: Proxmox -> Share your host's Bluetooth with a VM over the network https://ift.tt/X9NyAZh July 26, 2026 at 01:11AM

Show HN: I made some transistor animations https://ift.tt/MIDT56e

Show HN: I made some transistor animations Hi HN, I made some animations of the most important kinds of transistors using my semiconductor simulation, details of which are on the page. I tried to make the visuals as realistic as possible while also aiming for clarity. If you want to go beyond the charge carriers and look at, for example, the electric field, you can do so in the simulation software. The desktop software also has less common devices like IBGTs and SCRs that have similar animations. The last thread about my software was posted here about a year ago: https://ift.tt/yfvs2qm https://ift.tt/P1XqiGN July 25, 2026 at 12:07AM

Show HN: PBasic is a modern BASIC interpreter with a retro vibe https://ift.tt/v3MWXZ2

Show HN: PBasic is a modern BASIC interpreter with a retro vibe pBasic is a modern BASIC interpreter with a retro vibe. It allows you to easily find your way into computer programming and form a connection with the code. You will learn about Games programming, how to animate Sprites, and compose your own Functions. pBasic gives you a blank canvas in which you can realize your own creations. https://ift.tt/jCmblE0 July 24, 2026 at 10:30PM

Show HN: A representation of a chapter of your life through music https://ift.tt/oiaL6ep

Show HN: A representation of a chapter of your life through music https://www.cuecard.live July 24, 2026 at 11:22PM

Show HN: Advanced Coffee Search Covering Over 17,000 coffees https://ift.tt/4FHBrYj

Show HN: Advanced Coffee Search Covering Over 17,000 coffees https://ift.tt/ZiQGjlT July 24, 2026 at 02:59AM

Show HN: Trifle – Open-source analytics that stores answers, not events https://ift.tt/8pnPqO0

Show HN: Trifle – Open-source analytics that stores answers, not events Trifle is an open-source time-series analytics library that aggregates nested counters instead of storing raw events. All in the database you already have. After rebuilding it twice over 10 years, it now tracks ~1B events a day at my day job. It started in 2015 as my own Rails APM. I plugged into ActiveSupport::Notifications, got a few small users, and one bigger one whose scraping app broke everything. That sparked the core idea: aggregate counters into pre-defined time buckets, so a single write increments multiple buckets at once. The APM eventually faded away without much traction. Later in 2021 I needed analytics at my day job. Instead of going for something out there I revised the idea of Trifle as a more generic analytics library, borrowing some data warehouse ideas. First used Redis, then Postgres, eventually MongoDB. Hence why Trifle::Stats comes with multiple drivers that keep the DSL unified while storage layer changes with your needs. In our case (huge write volume, some reads) PG read faster but slowed on large writes. The nested values are the whole trick here. Single: Trifle::Stats.track( key: 'requests::aws::s3_uploads', values: { count: 1, status: { request.response_code => 1 }, size: payload.bytes, duration: { sum: request.duration, count: 1 } } ) builds up counts for requests, success rate, result status codes, duration for multiple time buckets at once. Single bucket from 2am then looks like: { count: 14, status: { 200: 12, 500: 2 }, size: 5628341, duration: { sum: 43, count: 14 } } If request.duration is in seconds, then sum stored under duration would be in seconds as well. Success rate is never stored, but it is calculated by dividing 200s over total number of requests. Same with average duration: sum over count. You ask for a metrics key, granularity and timeframe and you get back aggregated values at each point. Ready for charts or to answer "Average response time over last 30 days". There's a Series wrapper for aggregating and formatting values for charts in a simple call. And as building dashboards is not as much fun for other devs as I thought, I built Trifle App - a visual layer with dashboards, scheduled digests and alerts. It's written in Elixir, so I ported the library to Elixir too. And later to Go for a CLI. All three are compatible, write in one and read in another. Today we track activity from over 100M background jobs a day which turns into about 1B events. It runs surprisingly cheap when you're willing to trade some safety away (turn off journaling and write concerns in Mongo). 3-node Hetzner MongoDB cluster where the primary does 20% utilization costs us around $1k/month. It has its limitations. Payloads can't hold tens of thousands of keys. Documents becomes too large to update efficiently. Some planning ahead is needed. And then there are no dimensions. Sometimes you can nest them (country - there are only so many countries), sometimes it's better to have dedicated metrics key per dimension (customer - growing forever). That multiplies tracked events, hence 1B events from 100M jobs. The libraries are MIT. The App is source-available under ELv2 - free to self-host and paid cloud if you want it managed. I build this on the side with no investor money to burn on a free service. Happy to answer anything about architecture, storage models, my failures or why I didn't give up on this yet. https://trifle.io/ July 22, 2026 at 08:09PM

Show HN: Szr: A safer command output reduction for coding agents https://ift.tt/kZCXwKn

Show HN: Szr: A safer command output reduction for coding agents https://ift.tt/05VDMA1 July 22, 2026 at 11:33PM

Show HN: Onus – self-hostable vuln scanner combining 8 tools into one report https://ift.tt/FR19y8H

Show HN: Onus – self-hostable vuln scanner combining 8 tools into one report https://ift.tt/3mL7kr9 July 22, 2026 at 10:24PM

Show HN: Edky, a CLI to convert Ed25519 public keys from one encoding to another https://ift.tt/7TVLscf

Show HN: Edky, a CLI to convert Ed25519 public keys from one encoding to another Everything increasingly runs on Ed25519 keypairs, but Ed25519 public keys can be encoded as text in dozens of surface-incompatible different ways: hexadecimal, Base64 (OpenSSH), Base32z (iroh, pkdns), Base58 (NEAR), and Multibase (IPFS, libp2p), just for starters. Edky is a command-line tool and Rust library that converts between these Ed25519 surface encodings, aiding use of the same underlying keypair across e.g. an iroh endpoint, a libp2p peer, or a NEAR Protocol account. (Surprisingly, a conversion utility like this didn't yet exist!) $ cargo binstall -y edky $ edky convert -f iroh -t libp2p 47pjoycnsrfmxikm95jh13y88e8qnhzu5kungjpxyepgt7a8krpy z6MktwupdmLXVVqTzCw4i46r4uGyosGXRnR3XjN4Zq7oMMsw $ edky convert -f libp2p -t iroh z6MktwupdmLXVVqTzCw4i46r4uGyosGXRnR3XjN4Zq7oMMsw 47pjoycnsrfmxikm95jh13y88e8qnhzu5kungjpxyepgt7a8krpy $ edky convert -f near -t hex ed25519:FVen3X669xLzsi6N2V91DoiyzHzg1uAgqiT8jZ9nS96Z d75a980182b10ab7d54bfed3c964073a0ee172f3daa62325af021a68f707511a $ edky convert -f hex -t near d75a980182b10ab7d54bfed3c964073a0ee172f3daa62325af021a68f707511a ed25519:FVen3X669xLzsi6N2V91DoiyzHzg1uAgqiT8jZ9nS96Z https://ift.tt/krQSpGa July 21, 2026 at 11:39PM

Show HN: Neuron. Turn a SQL query history into a semantic layer https://ift.tt/EJ6KqhW

Show HN: Neuron. Turn a SQL query history into a semantic layer My cofounder and I previously ran analytics groups in life sciences. That means we led teams of analysts who typed SQL all day long and we ran into common issues of consistency, correctness, and knowledge transfer. We were always one resignation away from losing all of the history on a project or a client. When we left that world we thought we could solve the problem with auto-documentation. Cut to now and we've landed on the modern version of that solution, which is to turn previously executed queries into context for AI. The intuition is roughly this: a smart analyst can read SQL and have a pretty good idea of what's going on, and in fact can infer a lot of institutional knowledge about the domain and how to analyze particular data. LLMs are not great at this (Anthropic and Snowflake have written as much). So we act as the "smart analyst" to pull out institutional knowledge and practices (in the form of SQL) that you can give to an LLM so that it can code like a competent analyst on your team. Right now we're deploying it as a semantic layer population tool. You want to fill up a Genie or Cortex semantic layer? Run our code on your query history, prune it with your experts (delete this, rename that, etc.), and get moving. That can take hours/days instead of weeks. Plus, everything we export is portable to whatever system you choose. FYI we ask for emails on the free trial download so we can monitor our traction and build our network but you don't need to include it if you don't want to. We're hungry for feedback from people who work in the field and are facing these challenges. Major, major thanks in advance for your time. https://ift.tt/tC76ZEl July 20, 2026 at 11:41PM

Show HN: A gallery of browser-based PDF imposition and printing templates https://ift.tt/iRVrcuX

Show HN: A gallery of browser-based PDF imposition and printing templates https://ift.tt/0pizquJ July 19, 2026 at 11:16PM

Show HN: Chalie – AI peer not employee https://ift.tt/E0wY1Jo

Show HN: Chalie – AI peer not employee https://ift.tt/iBwy03z July 20, 2026 at 01:04AM

Show HN: Bribes.fyi – Built something to report bribes https://ift.tt/loeLEDf

Show HN: Bribes.fyi – Built something to report bribes https://bribes.fyi/ July 19, 2026 at 09:01PM