I don&#x27;t normally share side projects here(or in general). Don&#x27;t have much time to open them up to too much attention. I started this project while riding in a car last weekend. Mainly to explore OpenAI Codex. Using Github mobile I wrote the initial specifications into the readme, and using the ChatGPT iOS app, had Codex build a simple CLI based dungeon master. Switched back to Github for managing the PRs and back and forth for the whole car ride... It kinda got a little out of hand from there, and it&#x27;s now a mix of AI(mostly AI) and myself making adjustments... The first version was entirely OAI and it worked OK but was too easy on the player. Thanks to HN I had heard about the Wayfarer model and I find that model to be pretty entertaining. In the end I thought this turned out pretty &quot;cute&quot; and makes a decent time waster that looks like work wink wink

Show HN: Dungeon Master in Your Console

Show HN: DNS at ludicrous speed for Go, powered by XDP sockets

Hi HN! I’m Mario, and I’m about to launch IssuePay.Problem: Open-source contributors don’t get direct financial recognition for their work.
Solution: IssuePay lets maintainers post bounties on GitHub&#x2F;GitLab issues. Contributors pick tasks, merge code, and get paid automatically. You can then withdraw your earnings directly to your Bank Account.Try it out: <a href="https:&#x2F;&#x2F;issuepay.app" rel="nofollow">https:&#x2F;&#x2F;issuepay.app</a>Questions: Would love feedback on our UX, payout reliability, or any scaling tips.Note: Open to partnerships with OSS communities!Thank you, guys ! &lt;3

Show HN: IssuePay – Get paid for open-source contributions

Show HN: Daily word puzzle – Guess the consonants of a word

Doing dynamic dispatching in a strict static typing language is hard. Something as simple as,<pre><code> map.put(&quot;add&quot;, add);
 map.put(&quot;hello&quot;, hello);

 fn add(a: i32, b: i32) i32 { return a + b; }
 fn hello() []const u8 { return &quot;Hello World&quot;; }
</code></pre>
is impossible because the value type of key&#x2F;value of the map needs to be the same but all the function types are different. Calling functions with different number of parameters, different parameter types, and different return type dynamically is difficult.Other languages either use dynamic typing, runtime reflection, macro, or passing in one big generic parameter and let the function figure it out.In ZigJR, I use Zig&#x27;s comptime feature to do compile time reflection to figure out a function&#x27;s parameter types, return types, and return errors. I package them up into a specific call object and use the interface pattern to produce a uniformly typed object to be put into the map. It&#x27;s not easy but doable. [1][1] <a href="https:&#x2F;&#x2F;github.com&#x2F;williamw520&#x2F;zigjr&#x2F;blob&#x2F;master&#x2F;src&#x2F;rpc&#x2F;json_call.zig">https:&#x2F;&#x2F;github.com&#x2F;williamw520&#x2F;zigjr&#x2F;blob&#x2F;master&#x2F;src&#x2F;rpc&#x2F;jso...</a>

Show HN: I built a JSON-RPC library for Zig with compile time reflection

Show HN: Reactylon – Open-source framework for building 3D/XR apps with React

Show HN: Domain-check – Rust tool for checking domain name availability

Hey HN,
co-founder of anytype here - a wiki tool to collaborate on docs, databases and files - all local and private. Everything stays on your device—end-to-end encrypted, synced peer-to-peer, with support of collaboration in groups.What’s new:
- local API (desktop only for now) - lets you create your workflows
- MCP server - lets you connect LLMs
- raycast extension as an exampleTry it: <a href="https:&#x2F;&#x2F;download.anytype.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;download.anytype.io&#x2F;</a>Don’t judge us by the website—it’s outdated, as we’ve been heads-down building.
Start on desktop = mobile apps are companions. Best of all, anytype works on Mac. Other platforms have more bugs (sorry about that).How anytype works:
- Local-first: all data is stored and encrypted on-device
- CRDT-based sync: collaboration with eventual consistency
- Accounts &amp; auth via user-owned keys (device-only)
- pen source core (part MIT licensed, part source-available): github.com&#x2F;anyprotoFeatures:
- Docs, notes, tasks, tables, media – linked and structured
- Real-time collaboration (across users &amp; devices)
- Web publishing (from desktop)
- Native mobile apps (companions)We’ve been building anytype for six years with a conviction that our thoughts and communication should belong to us alone. It took us years to figure out the scalable tech stack to bring this level of privacy and independence. Now, we open the API as the first step to enable anyone to build on top.If you want to build AI-agents for anytype, here is a waiting list for early access.
<a href="https:&#x2F;&#x2F;anytype.typeform.com&#x2F;to&#x2F;gWbECrpg" rel="nofollow">https:&#x2F;&#x2F;anytype.typeform.com&#x2F;to&#x2F;gWbECrpg</a>If you have questions, feedback, ideas, we are all ears.[1] download: <a href="https:&#x2F;&#x2F;download.anytype.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;download.anytype.io&#x2F;</a>
[2] MCP video introduction: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=_IpW-iPtbXw" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=_IpW-iPtbXw</a>
[3] developer portal for API: <a href="https:&#x2F;&#x2F;developers.anytype.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;developers.anytype.io&#x2F;</a>
[4] MCP: <a href="https:&#x2F;&#x2F;github.com&#x2F;anyproto&#x2F;anytype-mcp">https:&#x2F;&#x2F;github.com&#x2F;anyproto&#x2F;anytype-mcp</a>Previous discussions:
<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=38794733">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=38794733</a>
<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=36799548">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=36799548</a>

Show HN: Anytype – a local and collaborative database with API and MCP server

A01 is a news reader where you define your own algorithm in plain English.For example, you can prompt it with:
• &quot;I want to follow recent AI startups and their first funding rounds.”
• &quot;I want updates on regulation changes and enforcement actions around stablecoins.”Every few hours, the backend fetches new articles, embeds them, and scores each one against your prompt. Only the most relevant pieces show up. No engagement metrics, trending bait, or “you might also like” filler.I built this because I every time I opened up Twitter or LinkedIn to stay informed on something, but always ended up deep in unrelated content. I wanted an intentional feed: just show me what I asked for, nothing else.Here’s the direct TestFlight link (100 seats):
 <a href="https:&#x2F;&#x2F;testflight.apple.com&#x2F;join&#x2F;bgPEKf3M" rel="nofollow">https:&#x2F;&#x2F;testflight.apple.com&#x2F;join&#x2F;bgPEKf3M</a>If it&#x27;s full, you can request access at www.a01ai.com. Enter your email and the invite is sent automatically. No account or payment needed.Coming soon: support for modifying your prompt at any time, negative filters (e.g. “don’t show me X”), and other controls to give you full ownership over your feed logic.Would love your thoughts and feedback.

Show HN: A news app where you define your algorithm

The project is in an early state. I just had to recently reset the graph data store, but I figured now is a good time to share my post and project.The link is to my blog post, the tool is at <a href="https:&#x2F;&#x2F;umbrix.dev" rel="nofollow">https:&#x2F;&#x2F;umbrix.dev</a>

Show HN: Leveraging Google ADK for Cyber Threat Intelligence

Show HN: Anagnorisis. A Vision for Better Information Management

Hello HN!As a long-time professional Rust developer. I&#x27;ve always been frustrated by the difficulty and &quot;hackiness&quot; of producing bindings to other languages, whether a frontend, an FFI library, etc.Not just in Rust but in any language.After many years of trying existing solutions and trying to make my own, I&#x27;ve finally developed a solution I&#x27;m very happy with.RTK (aka Rust Type Kit) allows you to write Lua scripts that perform queries on your code, such as method calls to Axum&#x27;s `.route`, function definitions, and more, and then receive rich type information including all argument types, function paths, proc macro attributes, and more.Your Lua script can then read this information and emit an output file in any language of your choosing. Or, you can emit compiler errors and use it as a linter of sorts. You can even directly re-emit Rust code itself and use this as a richer proc macro solution!The code example is a bit verbose, so I encourage you to take a look at the repo&#x27;s README. I look forward to hearing your thoughts, or any usecases you may come up with!

Show HN: Query your Rust codebase and generate types for anything

Show HN: Open-Source outcome- / usage-based billing engine for AI Agents

I&#x27;m 17 and recently launched a private beta for Biohack - a tool that scans food products and gives a longevity score based on impact on aging factors such as inflammation, omega ratio, toxins and more.Still early and a bit rough, but I&#x27;m looking for honest feedback from people who care about health span and deep nutrition.Would love your thoughts.

Show HN: Built a Food Scanner for Longevity

Show HN: eKilo – Super lightweight terminal text editor based

Sup HN I&#x27;m MX, a solo founder building Infuze Cloud, launching as a beta today.
I started this project because I was tired of a long list of reasons why the cartels are ridiculous that I shall not dwell on for too long here because I had to rewrite this twice cause of hitting the character limitSo I decided to try building something I’d want to use. The whole stack is built custom from the ground up with no external dependencies or costs to third parties apart from hardware and IP space.What Infuze is:Raw, dedicated performance: 1 vCPU = 1 physical thread. No overcommit. I cap my nodes allocations at the physical hardware limit with some overhead.Pricing based on what you use: It&#x27;s set at $10&#x2F;m for 4gb&#x2F;1vcpu&#x2F;50gb but can be provisioned for min 1hour(3 cents). Discounts on wallet top up&#x27;s to prevent pressure to get unneeded resources(even the minimum top up starts at 10% discount so its actually $8+ a month goes down to $7.50 with larger top up&#x27;s.Runs on our own hardware(leased) and autonomous system: We operate our own Intel Xeon Platinum 8280 servers and BGP-routed IP space (AS211747).KVM based with storage NVMe gen4 with ZFSStack:It&#x27;s built on mostly open source technology!Proxmox for virtualization, Knot for master authorative and outsourced for anycast slaves, custom Go microservices for most of the automation needed by the frontend(open sourcing some of them soon!). FRR for BGP. Networking is standard bridged networking that&#x27;s routed from leased IP space that I&#x27;m announcing with FRR. Mail using maddy. Prometheus&#x2F;node exporter for metrics, grafana for panels. The LLM chatbot is using AnythingLLM with openrouter but that was mostly like a FOMO thing lol tbh I don&#x27;t expect anyone to use it much(because i dont) but if it helps someone then that&#x27;s great. Support&#x2F;ticketing is custom, with the Next.js frontend, billing is Stripe. Each VM gets a public IPv4 and a &#x2F;64 subnet routed to it, no NAT or SNAT.If you guys have any questions or want to discuss more on the stack that I didn&#x27;t mention I&#x27;m very open to sharing, discussing, and learning about new ways to optimize my stack. I&#x27;m still very new to all this and learning as I go along so any insight is appreciated! I&#x27;m working on something more experimental(custom firecracker fork that directly boots ELF+IVSHMEM apps from memory with a unikernel or initramfs), which I hope to bring to the public soon, but lacked funding to keep moving forward so I decided to start this as a learning experience and first venture into the industry, with a more mature stack that&#x27;s reliable and battle tested enough for public use.Who it&#x27;s for:Developers who prefer using linux with root access, via SSH, etc.People who want to pay for something closer to real infra costs. Compute isn&#x27;t expensive and the tech isn&#x27;t difficult. We shouldn&#x27;t be forced to pay an amount that a monopoly feels they deserve.This isn&#x27;t for those that engage in yaml-therapy or love contributing to the charitable foundation for wooden figureheads, but I&#x27;ve got something lined up for you guys too! ;)This is the first public beta, and while most things are battle-tested, I expect a few bumps. I’ll be around all day to answer any questions, fix bugs quickly, and learn from the feedback.For the benchmark nerds I spun up a quick little site for fun with v0 because I was finding endless things to tinker with and feed my impostor syndrome to delay launching this but I&#x27;ve dragged it long enough <a href="https:&#x2F;&#x2F;bench.infuze.cloud" rel="nofollow">https:&#x2F;&#x2F;bench.infuze.cloud</a>You can get a free dollar voucher there and run a benchmark for fun, I wanted to do a larger amount but realized that my hourly billing is gonna be a magnet for abuse and being entirely self funded that&#x27;s probably not a good idea, but I&#x27;m prepared to pivot fast(and strike back, to those even considering it -_-)Thanks for reading, and I’d love to hear any feedback, ideas, and critique. Appreciate you all.

Show HN: I built a cloud on my own ASN w real 1:1 compute to fight the cartels

Show HN: Hijacking Wi-Fi Direct for Seamless Wi-Fi Onboarding on Raspberry Pi

Show HN: I made a 2D game engine in Dart

Show HN: Piper-mode – Text-to-speech for Emacs using the Piper TTS engine

Hi HN,I&#x27;ve just launched Pobshell. Think cd, ls, cat, and find — but for Python objects instead of files.Stroll around your code, runtime state, and data structures. Inspect everything: modules, classes, live objects. Plus recursive search and CLI integration.What it&#x27;s for:- Exploratory debugging: Inspect live object state on the fly- Understanding APIs: Examine code, docstrings, class trees- Shell integration: Pipe object state or code snippets to LLMs or OS tools- Code and data search: Recursive search for object state or source without file paths- REPL &amp; paused script: Explore runtime environments dynamically- Teaching &amp; demos: Make Python internals visible and walkablePobshell is pick‑up‑and‑play: familiar commands plus optional new tricks.2 minute video demo: 
 <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=I5QoSrc_E_A" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=I5QoSrc_E_A</a>Install:
 pip install pobshellGithub:
 <a href="https:&#x2F;&#x2F;github.com&#x2F;pdalloz&#x2F;pobshell">https:&#x2F;&#x2F;github.com&#x2F;pdalloz&#x2F;pobshell</a>Pobshell is open source, and in alpha release. 
Tested on MacOs, Linux and Windows (Python 3.12)

Show HN: Pobshell – A Bash‑like shell for live Python objects

Demo video: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;ZoQ6w73rbkY" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;ZoQ6w73rbkY</a>Someone first implemented something like this and shared it on HN
<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44103839">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=44103839</a>...and I love it :DUnfortunately, they removed it later (no idea why). So I decided to make my own implementation.Key features:
- The pieces are selected at random, unlike the true Tetris, which uses Multi bag sampling. VERY interesting dynamic. Try it!
- The pieces don&#x27;t fall on their own. They await my instruction
- The line clears when I decide it&#x27;s time for it to clear :DEnjoy ;-)

Show HN: Reimplementation of Lazy Tetris

PLJS is a new, modern JavaScript trusted language extension, bundling QuickJS, a small and fast JavaScript runtime with Postgres, providing fast type conversion between Postgres and JavaScript, fast execution, and a very light footprint.Here are bencharks that show how it compares to PLV8: <a href="https:&#x2F;&#x2F;github.com&#x2F;plv8&#x2F;pljs&#x2F;blob&#x2F;main&#x2F;docs&#x2F;BENCHMARKS.md">https:&#x2F;&#x2F;github.com&#x2F;plv8&#x2F;pljs&#x2F;blob&#x2F;main&#x2F;docs&#x2F;BENCHMARKS.md</a>This is the first step toward a truly light-weight, fast, and extensible JavaScript runtime embedded inside of Postgres. The initial roadmap has been published at <a href="https:&#x2F;&#x2F;github.com&#x2F;plv8&#x2F;pljs&#x2F;blob&#x2F;main&#x2F;docs&#x2F;ROADMAP.md">https:&#x2F;&#x2F;github.com&#x2F;plv8&#x2F;pljs&#x2F;blob&#x2F;main&#x2F;docs&#x2F;ROADMAP.md</a>You can join the discussion by joining the PLV8 Discord: <a href="https:&#x2F;&#x2F;discord.gg&#x2F;XYGSCfVNBC" rel="nofollow">https:&#x2F;&#x2F;discord.gg&#x2F;XYGSCfVNBC</a>You can find PLJS at <a href="https:&#x2F;&#x2F;github.com&#x2F;plv8&#x2F;pljs">https:&#x2F;&#x2F;github.com&#x2F;plv8&#x2F;pljs</a>

Show HN: PLJS – JavaScript for Postgres

Cheesy Mamas is a local first, multi tab code editor written in Python using PyQt6. It is designed for Linux systems and built around simplicity, transparency, and control. There is no telemetry, no sync, and no accounts. The editor runs entirely on your local machine using standard system tools and stays out of your way unless you ask for help.The editor supports multiple files open at once, persistent tab state, live dirty tracking, and a dark UI. It includes syntax highlighting for Python, C, and LaTeX. A built in run button executes Python directly, compiles C with gcc, or runs pdflatex for LaTeX files. It also includes a Bash button to launch or edit a saved shell script. There is no plugin system and no background processes. All functionality is visible and inspectable in the interface.The Git integration is the core design focus. Unlike most editors, which treat Git as a sidebar or rely on an external staging panel, Cheesy Mamas embeds Git version history directly beside each open file. When you open a file, the editor checks if it is part of a Git repository. If not, the first commit you make will automatically initialize a new Git repository in the current folder.For each file, Cheesy Mamas retrieves its individual commit history using Git log limited to that path. This history appears in a vertical sidebar next to the editing pane. Selecting a commit loads that exact version of the file from Git and performs a diff against the current working version in memory. The editor highlights changed lines and overlays revert options directly into the document view.When you click a past commit, the editor compares that version against your current working file. All changed lines are visually marked. You can click a &quot;revert line&quot; button next to any highlighted block to immediately undo that change using the older version. These changes are local until you save. This allows for a granular, low effort recovery flow without affecting unrelated files or requiring a full diff tool.Right clicking a commit provides a context menu that lets you view the full unified diff, copy the full version of that commit to your clipboard, or revert the entire file to that point. These operations use standard Git plumbing internally and do not alter other files in the repository. Cheesy Mamas does not require you to commit or stage across all files. Each file&#x27;s history and actions are isolated.The editor is single instance by default. Opening a file from the file browser or terminal reuses the existing window and opens the file in a new tab. This is handled via a relay system that passes the file path to the existing running instance.The UI is dark by default with soft gold highlights. There is no animation or decoration beyond what is needed for clarity. The editor warns on exit if any file is unsaved. Saving and Git commits are handled through dedicated buttons and keyboard shortcuts. The Bash button opens a terminal script from the config folder, or lets you write one if none exists.Cheesy Mamas was built to solve a personal problem. Most editors assume the user is syncing code to a cloud service or using Git externally. They require plugins or navigation panels to access version history and rarely show diffs in context. Cheesy Mamas was designed to treat versioning as a natural part of editing, and to bring Git history as close to the cursor as possible without overwhelming the UI.The project is fully offline, runs on Linux, and is installable via a simple shell script. It places the Python script and assets in `~&#x2F;.local&#x2F;share&#x2F;CheesyMamas`, creates a `.desktop` entry, and integrates with your application menu. You can optionally set it as the default handler for `.py`, `.c`, `.tex`, and `.sh` files by editing the desktop file and uncommenting the `MimeType` field.There is no account system and no sync. It’s a local program, designed to live where you live, and let you undo what needs undoing.

Show HN: Cheesy Mamas: Local only code editor with Git and Bash support

Show HN: A self-hosting compiler from WHILE to WebAssembly

Over the past year I uploaded a bunch of videos to my personal channel. Most of them were short documentaries, news-style edits, or content covering current events and war. A lot of it ended up getting demonetized, age-restricted, or removed completely, usually without any clear reason or explanation.The worst part was not knowing what caused it. You upload something, it seems fine for a while, and then it disappears or gets buried. I spent days editing videos that ended up dead in the water because of things I couldn’t see coming.I started building a tool to help with this. Just something to check the content before uploading, to see if it might get flagged. That eventually became frametwo.frametwo scans your video and flags the kinds of things that might trigger platform filters. It looks at visuals, language, and metadata. It doesn&#x27;t rewrite your content or suggest edits. It just gives you a clear report, so you can decide what to do before your content gets punished.I built the analysis system myself while balancing school and work. It’s called Nextros, and it’s focused specifically on moderation risks, not general-purpose AI. I didn’t want a black box. I wanted something that helps creators understand what might go wrong, without guessing or overcorrecting.The site is at <a href="https:&#x2F;&#x2F;frametwo.com" rel="nofollow">https:&#x2F;&#x2F;frametwo.com</a>I’d appreciate any feedback. Especially from people who have run into the same issues, or have thoughts on how this could be more useful to creators.

Show HN: Frametwo – Tired of my videos getting flagged, so I built this

Hey folks, I’m the creator of WFGY — a semantic reasoning framework for LLMs.After open-sourcing it, I did a full technical and value audit — and realized this engine might be worth $8M–$17M based on AI module licensing norms. If embedded as part of a platform core, the valuation could exceed $30M.Too late to pull it back. So here it is — fully free, open-sourced under MIT.---### What does it solve?Current LLMs (even GPT-4+) lack *self-consistent reasoning*. They struggle with:- Fragmented logic across turns
- No internal loopback or self-calibration
- No modular thought units
- Weak control over abstract semantic spaceWFGY tackles this with a structured loop system operating directly *within the embedding space*, allowing:- *Self-closing semantic reasoning loops* (via Solver Loop)
- *Semantic energy control* using ∆S &#x2F; λS field quantifiers
- *Modular plug-in logic units* (BBMC &#x2F; BBPF &#x2F; BBCR)
- *Reasoning fork &amp; recomposition* (supports multiple perspectives in one session)
- *Pure prompt operation* — no model hacking, no training neededIn short: You give it a single PDF + some task framing, and the LLM behaves as if it has a “reasoning kernel” running inside.---### Why is this significant?Embedding space is typically treated as a passive encoding zone — WFGY treats it as *a programmable field*. That flips the paradigm.It enables any LLM to:- *Self-diagnose internal inconsistencies*
- *Maintain state across long chains*
- *Navigate abstract domains (philosophy, physics, causality)*
- *Restructure its own logic strategy midstream*All of this, in a fully language-native way — without fine-tuning or plugins.---### Try it:No sign-up. No SDK. No tracking.&gt; Just upload your PDF — and the reasoning engine activates.MIT licensed. Fully open. No strings attached.GitHub: github.com&#x2F;onestardao&#x2F;WFGYI eat instant noodles every day — and just open-sourced a $30M reasoning engine. 
Would love feedback or GitHub stars if you think it’s interesting.

Show HN: I open-sourced a $1M engine for closing loops in embedding space

We built [FOHO](<a href="https:&#x2F;&#x2F;foreignerhome.com" rel="nofollow">https:&#x2F;&#x2F;foreignerhome.com</a>), a housing platform that helps foreigners safely rent in Korea — without scams, translation issues, or ghosting landlords.---### Why we built it:
When one of us moved to the US, he got ghosted after sending a deposit for a room. In Korea, it’s worse — most listings are in Korean, deposits are high, and many landlords don’t want foreign tenants. Foreigners are *3x more likely to face fraud* in rental markets (- StatKorea 2025).We interviewed 122 foreign residents in Korea. Two had lost their deposit. From Reddit posts to real-world landlord calls, we found the same pattern: *language barriers, legal uncertainty, no post-move-in help*.---### What FOHO does:
1. *AI-matching* based on visa type, lifestyle, move-in dates, etc.
2. *Verified listings* and optional escrow rent protection.
3. *Auto-translated lease terms*, with cultural&#x2F;legal context.
4. *Post-move-in care* (rent alerts, utility help, multilingual support).
5. *Landlord tools*: rent reminders, issue ticketing, higher yield without added hassle.---### Traction:
- 1,500+ monthly users, 1,000+ listings
- 50%+ organic traffic (up from 9% in Jan)
- Partnerships with local institutions (e.g. Korea University)
- Preparing expansion to Boston---### Tech stack:
- Next.js + MongoDB
- LangChain + Claude&#x2F;GPT for translation &amp; contract extraction
- Multilingual chatbot built on RAG with custom glossary enforcement---We’re a team of builders who’ve failed 5 times before, this time shipping daily and talking to every user. Would love feedback on:- Matching logic (should we ask for lifestyle tags or structured inputs?)
- Escrow design (would you trust it?)
- Expansion: where would this work next?Thanks HN

Show HN: FOHO – Safer rentals for foreigners in Korea with escrow and AI

I built an open-source AIOps MCP (Monitoring &amp; Control Plane) that detects anomalies in logs using Isolation Forest.It accepts logs from agents, apps, or collectors, parses and extracts features, and identifies unusual patterns in real time. Alerts can be sent to Slack, Webhooks, or PagerDuty. It’s lightweight, easy to deploy with Kubernetes &amp; Helm, and designed to plug into existing observability stacks.I built this to experiment with combining ML-based anomaly detection and flexible alerting for DevOps&#x2F;SRE teams. Most AIOps platforms are either too heavyweight or closed-source — I wanted something minimal yet effective.You can try it by running the FastAPI app locally or deploying with Helm. Contributions are welcome — I’d love feedback on features, detection accuracy, and real-world use cases!GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;kishorealliiita&#x2F;aioops-mcp-iforest">https:&#x2F;&#x2F;github.com&#x2F;kishorealliiita&#x2F;aioops-mcp-iforest</a>

Show HN: AIOps MCP – Log anomaly detection using Isolation Forest

Input a SMILES string (or pick one molecule from the examples) and it returns up to 100k molecules closest in 3-D shape or electrostatic similarity – from 10+ billion scale databases — typically in under 5-10 s.*Why it might interest HN** Entire index lives on disk — no GPU at query-time, less than ~10 GB RAM total.
* Built from scratch (no FAISS index &#x2F; Milvus &#x2F; Pinecone).
* Index-build cost: one Nvidia T4 (~ 300USD) for one 5.5B database.
* Open to anyone, predict ADMET, export results as CSV&#x2F;SDF.Full write-up &amp; benchmarks (DUD-E, LIT-PCBA, SVS) in the pre-print:
<a href="https:&#x2F;&#x2F;chemrxiv.org&#x2F;engage&#x2F;chemrxiv&#x2F;article-details&#x2F;67250915f9980725cfcd1f6f" rel="nofollow">https:&#x2F;&#x2F;chemrxiv.org&#x2F;engage&#x2F;chemrxiv&#x2F;article-details&#x2F;6725091...</a>

Show HN: I wrote a GPU-less billion-vector DB for molecule search (live demo)

Enter your phone number, get called in 30 seconds for a 2–3 minute AI-powered screening interview.
<a href="https:&#x2F;&#x2F;prepin.ai&#x2F;aiphonecall" rel="nofollow">https:&#x2F;&#x2F;prepin.ai&#x2F;aiphonecall</a>Current MVP scope
Right now it handles general screening questions and generates simple reports. We’re validating demand before building:Technical screening librariesATS integrationsCustom question sets per role or companyMulti-language supportWho we’re looking for
We’d love feedback from recruiters and startup founders who are (or soon will be) running hiring processes.Request for feedback
Please actually try the call first—I know it sounds gimmicky, but the voice quality will surprise you. Then let us know:Did it feel natural?Would you be comfortable being screened this way?If you hire, could you see your team using this?What needs improvement?To see the full recruiter dashboard, leave your email on the page and we’ll send you the demo.This is just an MVP to test the concept. Curious what HN thinks—future of recruiting or unnecessary automation?