Show HN: Web app that lets you send email time capsules https://ift.tt/TeOdR1J

Show HN: Web app that lets you send email time capsules I had an issue where I would journal stuff, and then never look at what I wrote. So I thought it'll be cool to schedule something that will get sent to you at a later time (like a time capsule). Also, was inspired by futureme, where you can send yourself letters that'll arrive in the future. https://resurf.me December 8, 2025 at 08:37AM

Show HN: Crier – Push notifications via TCP or MQTT (no public IP needed) https://ift.tt/fa1njsR

Show HN: Crier – Push notifications via TCP or MQTT (no public IP needed) https://ift.tt/8WSdEQJ December 8, 2025 at 03:50AM

Show HN: I replaced my premium workout app with vibecode https://ift.tt/Mze6c1S

Show HN: I replaced my premium workout app with vibecode I was going through my app subscriptions and realized I was paying $15 for a pretty good workout app, which seemed a bit high to me. As a software engineer who is also well versed in claude code, I realized that I could likely vibecode a very similar app, or even build something more to my liking. I challenged my self to build something roughly equivalent this afternoon. Workflow was: start with a detailed spec from Claude code describing many of the features common in workout apps. Then paste this into lovable to have it build out the initial mvp. Once that was built, I used claude code extensively to modify the app until it was usable, including adding an import from the costly premium app. While there are bugs, I think I might use this app. And it is insane that we are in a place where I can build this on my phone during an afternoon. In a few years, the economics of apps is going to be different, at least for folks willing to work a little bit. In theory this project will save me over $190 a year. https://ift.tt/1P59bci December 7, 2025 at 09:55PM

Show HN: A Markdown document manager in Rust https://ift.tt/d563H8f

Show HN: A Markdown document manager in Rust Hi HN, I’m an ex-Amazon engineer. I built Seychl because I was tired of waiting 3 seconds for my notes to load in cloud-based apps. Seychl is a local-first knowledge base designed for speed. UI interactions are always instant (<16ms). Features for power users: - Full keyboard control (never touch the mouse) - Vim mode built-in - Markdown storage (you own your data) - Instant search across 10k+ notes - Persistent Tmux-like sessions, windows and panes It’s basically "Linear for knowledge management" – focusing on ergonomics and speed over bloated features. You can download the binary here (currently MacOS only): https://github.com/Seychl/seychl-release/releases/download/0... https://www.seychl.app/ December 7, 2025 at 04:01AM

Show HN: AI Paul Graham https://ift.tt/gcPGKx3

Show HN: AI Paul Graham I built an AI version of Paul Graham, fully powered by the Nia API. * Nia gives coding agents accurate context by indexing entire codebases, documentation, and packages. It fixes hallucinations by letting agents retrieve real source information instead of guessing. Developers ship faster because AI can read and understand their actual project. This is a different use case of Nia but apparently it also works. You can chat with it and ask any question because it has access to Nia’s knowledge base, which indexed all of his personal essays. The agent is able to call multiple tools that directly use Nia’s API: • NiaWebSearch - searches the web • searchEssays - semantic search over all essays • browseEssays - shows the full tree of essays • listDirectory - lists essays in a path • readEssay - reads full essay content • grepEssays - regex pattern search • getSourceContent - retrieves full source by identifier Models: anthropic/claude-sonnet-4.5 moonshotai/kimi-k2-thinking xai/grok-4-fast-reasoning alibaba/qwen3-vl-thinking It’s fully free and open source. Try it: https://ift.tt/Bc5woA4 Code: https://ift.tt/lniRryu https://ift.tt/Bc5woA4 December 7, 2025 at 06:11AM

Show HN: S3 compatible store with 1M IOPS(4K-R,p99~5ms), BYOC in 5min with rust https://ift.tt/gNmXOki

Show HN: S3 compatible store with 1M IOPS(4K-R,p99~5ms), BYOC in 5min with rust https://ift.tt/dCcGD46 December 7, 2025 at 04:33AM

Show HN: Geetanjali – RAG-powered ethical guidance from the Bhagavad Gita https://ift.tt/1p6giAE

Show HN: Geetanjali – RAG-powered ethical guidance from the Bhagavad Gita I built a RAG application that retrieves relevant Bhagavad Gita verses for ethical dilemmas and generates structured guidance. The problem: The Gita has 701 verses. Finding applicable wisdom for a specific situation requires either deep familiarity or hours of reading. How it works: 1. User describes their ethical dilemma 2. Query is embedded using sentence-transformers 3. ChromaDB retrieves top-k semantically similar verses 4. LLM generates structured output: 3 options with tradeoffs, implementation steps, verse citations Tech stack: - Backend: FastAPI, PostgreSQL, Redis - Vector DB: ChromaDB with all-MiniLM-L6-v2 embeddings - LLM: Ollama (qwen2.5:3b) primary, Anthropic Claude fallback - Frontend: React + TypeScript + Tailwind Key design decisions: - RAG to prevent hallucination — every recommendation cites actual verses - Confidence scoring flags low-quality outputs for review - Structured JSON output for consistent UX - Local LLM option for privacy and zero API costs What I learned: - LLM JSON extraction is harder than expected. Built a three-layer fallback (direct parse → markdown block extraction → raw_decode scanning) - Semantic search on religious texts works surprisingly well for ethical queries - Smaller models (3B params) work fine when constrained by good prompts and retrieved context GitHub: https://ift.tt/fitEM6V Happy to discuss the RAG architecture or take feedback. https://ift.tt/yPTW5a1 December 7, 2025 at 02:18AM