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[Other] Show HN: VoiceGecko – System-wide voice-to-text that types anywhere

[Database] Show HN: Text2SQL with a Graph Semantic Layer Built QueryWeaver, an open-source text2SQL tool that uses a graph to create a semantic layer on top of your existing databases. When you ask &quot;show me customers who bought product X in a certain ‘REGION’ over the last Y period of time,&quot; it knows which tables to join and how. When you follow up with &quot;just the ones from Europe,&quot; it remembers what you were talking about.<p>Instead of feeding the model a list of tables and columns, we feed it a graph that understands what a customer is, how it connects to orders, which products belong to a campaign, and what &quot;active user&quot; actually means in your business context. We used FalkorDB for the graph part because it handles relationship mapping better than cramming table schemas into prompts. Graphiti tracks the conversation so follow-ups actually work. Final notes: Your data stays in your databases. We read from existing schemas, never migrate data. Standard SQL outputs you can run anywhere. We&#x27;ve built an MCP and you can generate an API key to take it for a spin. Please, tell us how it’s working out for you!

[Other] Amazonq.nvim: Official AWS AI Assistant Plugin for Neovim

[Other] Lit: a library for building fast, lightweight web components

[Other] Sparrow: C++20 Idiomatic APIs for the Apache Arrow Columnar Format

[Other] Show HN: PasteVault – An open-source, E2EE pastebin with a VS Code-like editor

[CLI Tool] Show HN: I built a deep research tool for local file system I was experimenting with building a local dataset generator with deep research workflow a while back and that got me thinking. what if the same workflow could run on my own files instead of the internet. being able to query pdfs, docs or notes and get back a structured report sounded useful.<p>so I made a small terminal tool that does exactly that. I point it to local files like pdf, docx, txt or jpg. it extracts the text, splits it into chunks, runs semantic search, builds a structure from my query, and then writes out a markdown report section by section.<p>it feels like having a lightweight research assistant for my local file system. I have been trying it on papers, long reports and even scanned files and it already works better than I expected. repo - <a href="https:&#x2F;&#x2F;github.com&#x2F;Datalore-ai&#x2F;deepdoc" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;Datalore-ai&#x2F;deepdoc</a><p>Currently citations are not implemented yet since this version was mainly to test the concept, I will be adding them soon and expand it further if you guys find it interesting.

[Other] Show HN: Moribito – A TUI for LDAP Viewing/Queries Check out my TUI I wrote for viewing and querying an LDAP. I need to do basic queries and validation daily for work, and as I work on a mac, there are really no good options. The major player is the Apache Directory Studio which is... not great. So I decided to create a new one.

[Other] Show HN: Zyg – Stop Writing Status Updates Hi HN, I’m Tobi. For a couple of hours over the past few days I’ve been hacking on something to fix a pain point in my dev workflow: writing status updates.<p>Progress is invisible by default. GitHub, Linear, Jira all track tickets and code, but they don’t do a good job of capturing the narrative between “ticket started” and “ticket done.”<p>You start working on a feature, your PM asks “how’s it going?”, and even though you know exactly how it’s going - because you’ve been committing and making progress - you still struggle to answer. That usually means breaking your flow to piece together an update, or just saying “it’s going fine.” You could point them to the commits, but tbj they probably don’t want to wade through diffs.<p>To solve this I built Zyg [pronounced zeig]. It tries to turn commits into human-readable progress updates. It’s a lightweight CLI + dashboard that wraps `git commit`. Running `zyg` will generate a detailed commit message from your changes, produce a project update from that commit or a set of commits you choose, and notify any stakeholders who are subscribed. If you’d rather not share updates automatically, you can just copy the generated summary and drop it in Slack or email.<p>Zyg is free for September thanks to an API credit grant from Anthropic. After that I’ll figure out pricing, but you can also plug in your own key and keep using it for free. It’s still rough around the edges, but I’d appreciate you giving it a spin.

[Other] RubyMine is now free for non-commercial use

[Other] Intuitive find and replace CLI (sed alternative)

[Other] Building a WASM compiler in Roc (series)

[Other] Show HN: StripeMeter – Open-Source Usage Metering for Stripe Billing We built StripeMeter, an open-source usage metering platform that plugs directly into Stripe. It solves the classic SaaS pain of “why is my bill higher than expected?” by giving both developers and customers real-time usage tracking with live cost projections. Why it matters:<p>- Transparency: Customers see exactly what Stripe will bill them (within 0.5% parity).<p>- Exactly-once guarantee: No double billing, ever.<p>- Fast &amp; scalable: Sub-minute freshness with Redis + Postgres counters.<p>We’d love feedback from SaaS builders, especially if you’ve struggled with Stripe’s metered billing. Does this solve a real pain for you? What would you need before trusting it in production?

[Other] Show HN: Fine-tuned Llama 3.2 3B to match 70B models for local transcripts I wrote a small local tool to transcribe audio notes (Whisper&#x2F;Parakeet). Code: <a href="https:&#x2F;&#x2F;github.com&#x2F;bilawalriaz&#x2F;lazy-notes" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;bilawalriaz&#x2F;lazy-notes</a><p>I wanted to process raw transcripts locally without OpenRouter. Llama 3.2 3B with a prompt was decent but incomplete, so I tried SFT. I fine-tuned Llama 3.2 3B to clean&#x2F;analyze dictation and emit structured JSON (title, tags, entities, dates, actions).<p>Data: 13 real memos → Kimi K2 gold JSON → ~40k synthetic + gold; keys canonicalized. Chutes.ai (5k req&#x2F;day).<p>Training: RTX 4090 24GB, ~4h, LoRA (r=128, α=128, dropout=0.05), max seq 2048, bs=16, lr=5e-5, cosine, Unsloth. On 2070 Super 8GB it was ~8h.<p>Inference: merged to GGUF, Q4_K_M (llama.cpp), runs in LM Studio.<p>Evals (100-sample, scored by GLM 4.5 FP8): overall 5.35 (base 3B) → 8.55 (fine-tuned); completeness 4.12 → 7.62; factual 5.24 → 8.57.<p>Head-to-head (10 samples): ~8.40 vs Hermes-70B 8.18, Mistral-Small-24B 7.90, Gemma-3-12B 7.76, Qwen3-14B 7.62. Teacher Kimi K2 ~8.82.<p>Why: task specialization + JSON canonicalization reduces variance; the model learns the exact structure&#x2F;fields.<p>Lessons: train on completions only; synthetic is fine for narrow tasks; Llama is straightforward to train. Dataset pipeline + training script + evals: <a href="https:&#x2F;&#x2F;github.com&#x2F;bilawalriaz&#x2F;local-notes-transcribe-llm" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;bilawalriaz&#x2F;local-notes-transcribe-llm</a>

[Other] Show HN: Public chat rooms with ephemeral chat and anonymous signup Phispr is an ephemeral chat application designed for anonymous, temporary conversations that vanish without a trace. Built with Go, it offers both web and terminal user interfaces.<p>A weekend project exploded into a two weeks project, and with a <i>funny</i> origin. <a href="https:&#x2F;&#x2F;github.com&#x2F;bnkamalesh&#x2F;phispr&#x2F;blob&#x2F;main&#x2F;docs&#x2F;genesis.md" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;bnkamalesh&#x2F;phispr&#x2F;blob&#x2F;main&#x2F;docs&#x2F;genesis....</a>

[Other] Thunk: Build Rust program to support Windows XP, Vista and more

[Other] Show HN: woomarks, transfer your Pocket links to this app or self-host it Pocket is shutting down and I really, really liked it. So I built woomarks, an app that let&#x27;s you save links with a similar UI. It&#x27;s very minimal, but it&#x27;s doing everything I liked from Pocket and you can bulk import your links and use the app or self-host.<p>- Public app that you can test: <a href="https:&#x2F;&#x2F;woomarks.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;woomarks.com&#x2F;</a><p>- My self-hosted version, where you can see my saves: <a href="https:&#x2F;&#x2F;roberto.fyi&#x2F;bookmarks&#x2F;" rel="nofollow">https:&#x2F;&#x2F;roberto.fyi&#x2F;bookmarks&#x2F;</a><p>- Repository if you want to self-host: <a href="https:&#x2F;&#x2F;github.com&#x2F;earlyriser&#x2F;woomarks" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;earlyriser&#x2F;woomarks</a><p>Export links from Pocket here: <a href="https:&#x2F;&#x2F;getpocket.com&#x2F;export" rel="nofollow">https:&#x2F;&#x2F;getpocket.com&#x2F;export</a> the last day will be on October 20025.<p>Features: - Add&#x2F;Delete links - Search - Tags - Bookmarklet (useful for a 2-click-save) - Data reads from: csv file in server (these links are public) local storage in browser (these links are visible just for the user) - Local storage saving. - Import to local storage from csv file - Export to csv from local storage. - Export to csv from csv file (useful when links are &quot;deleted&quot; using the app and just hidden using a local storage blacklist). - Export to csv from both places. - No external libraries. - Vanilla css code. - Vanilla js code.

[Other] Show HN: We built an open-source alternative to expensive pair programming apps My friend and I grew frustrated with the high cost of existing pair programming tools, and of course of grainy screens when we used Huddle or similar tools.<p>We believe core developer collaboration shouldn&#x27;t be locked behind an expensive subscription.<p>So for the past year we spent our nights and weekend building Hopp, an open-source alternative.<p>We would love your feedback and we are here to answer any and all questions.

[Package Manager] Show HN: Simple modenized .NET NuGet server reached RC A simple .NET NuGet server implementation built on Node.js that provides essential NuGet v3 API endpoints.<p>Key Features:<p>* Easy setup, run NuGet server in 10 seconds! * NuGet V3 API compatibility: Support for modern NuGet client operations * No need database management: Store package file and nuspecs into filesystem directly, feel free any database managements * Package publish: Flexible client to upload .nupkg files via HTTP POST using cURL and others * Basic authentication: Setup authentication for publish and general access when you want it * Reverse proxy support: Configurable trusted reverse proxy handling for proper URL resolution * Modern Web UI with enhanced features. * Package importer: Included package importer from existing NuGet server * Docker image available

[Other] Show HN: Spotilyrics – See synchronized Spotify lyrics inside VS Code