value: embedding-shape

value:
Yesterday I saw https://news.ycombinator.com/item?id=46121799 (Nixtml: Static website and blog generator written in Nix) and before I clicked on it, I thought it was gonna be a polished version of something I've hacked together myself in the past few weeks, but it was something else, so since seeing it, I've been polishing my hacked together Hiccup-alternative made with Nix, and I think it's good enough for some feedback from the outside world :)
The basic premise is to take a Nix expression like this:

    [ "div#main.container" { lang = "en"; } [ "h1" "Hello" ] ]

And turn it into HTML like this:

    <div class="container" id="main" lang="en"><h1>Hello</h1></div>

Nothing more, nothing less. Just "Nix Expressions/Data > HTML".
If you've used hiccup (https://github.com/weavejester/hiccup) before this will be immediately familiar to you, native data types in arrays transformed into HTML, and it matches really well with Nix! Kind of almost took me by surprise.
I've made some more involved examples available on the website, where the website itself is also dynamically generated with niccup: https://embedding-shapes.github.io/niccup/
And if that wasn't enough, I also added a quine example on the website itself, which if you copy-paste the two files you get a built version of the page itself: https://embedding-shapes.github.io/niccup/examples/quine/ (this was probably the most tricky and fun part of this whole project, so worth mentioning separately for sure)
I've used it to generate documentation websites and some smaller projects so far, but hasn't been used by others before, so I'm eager to hear what people think about it! Thank you for reading and your temporary attention!
GitHub repository: https://github.com/embedding-shapes/niccup (~800 lines of Nix in total, main implementation src/lib.nix is only ~120 lines though)
The source of the blog itself: https://github.com/embedding-shapes/embedding-shapes.github.... (~150 lines of Nix)

value: Show HN: Niccup – Hiccup-Like HTML Generation in ~120 Lines of Pure Nix

author: embedding-shape


value: bitforger

value:
I made this website after watching a youtube video that made me want to email my local representatives and then realizing I had no idea where to start.
It's [open source](https://github.com/mitchellgordon95/Outrage) and uses a dataset of U.S. elected officials from [Cicero](cicerodata.com) + AI to help narrow which candidates to talk to and what to say.
Looking forward to any feedback you might have! Is it useful, boring, frustrating? Please let me know in the comments.

value: Show HN: Outrage – contact your local elected representatives in minutes (US)

author: bitforger


value: avestura

value: Show HN: HCL-Schema – Create HCL Schemas Using HCL Files

author: avestura


value: MetaConvert

value: Show HN: MetaConvert – Free PDF and Image Conversion Tools

author: MetaConvert


value: dyogenez

value:
Back when I was a kid, I'd get the monthly Nintendo Power magazine and check out the top games of the month to see what was popular (A Link to the Past was my default vote). I wanted to build something in Hardcover that would show that, but allow for understanding over time. A bump chart was the perfect data visualization for it.
The Y-axis indicates the rank during any month, while the X-axis is time. Originally this was just for the last year, but I added a slider when I wanted to see farther back.
The lines connect a book by month, and you can click on a book to highlight it's path. You can enter a title, series or author in the input box and I'll highlight all matching books and connectors.
The "Labs" side is inspired by Digg labs back in the day. They'd create tons of fun projects to understand and explore their data, and I'm excited to try doing more of that myself.
Under the hood, the backend is Ruby on Rails, using Inertia.js to a React.js front-end. All data is cached using Solid Cache in Postgres, so it loads pretty fast (except when the cache expires and it has to do a query for each month). On the front-end it uses D3.js for most of the logic, reusing some of the same foundational components as our Stats section.
This one was mostly created using Claude Code and Opus 4.5. I've been playing around with using Happy (remote claude runner) and CloudFlare zero-trust dev tunnels to be able to work on things from my phone on my computer. Most of this was "programmed" from my phone on Thanksgiving night during a Creatures Great and Small marathon on PBS.
If you have any feedback, bugs or suggestions on how to improve this I'd love to hear them! I'm a huge fan of data visualizations, and can spend entirely too long playing with them, so this has been a work of love.

value: Show HN: I built a trending books by month Bump Chart with Hardcover data

author: dyogenez


value:
Hi HN, I’m Aldiyar. I spent the last 10+ years working as an equity portfolio manager and an institutional allocator to hedge funds.
For a long time I was obsessed with finding a tool to automate a team's research. I eventually realized that was the wrong goal. good investment research is non-linear and creative. every thesis is unique, so you can't just feed it into a standardized factory line.
However, the workflow is often a mess. most analysts operate in a chaos of 50+ browser tabs, scattered excel models, and disconnected notion notes.
I built ThesisBoard to solve this. it is basically Trello meets a curated directory of financial tools and workflows.
What it does
It gives you a structured workspace for your research, backed by a community library of:
1. Templates: step-by-step boards for different styles (e.g. "equity deep dive," "crypto protocol analysis," or "macro thematic").
2. Tools: a directory of 100+ specialized research tools (like Tegus, Quartr, or specific FRED datasets) that are mapped to the relevant stage of your workflow.
3. Prompts: tested AI prompts for financial analysis that you can run directly within your research cards.
The key utility is context. when you open a card for "competitive analysis," the board automatically serves up the exact tools and prompts you need for that specific step, instead of you hunting for them.
The community aspect
Because research is hard, we made the workflows shareable. you can publish your analysis along with the exact steps you took to get there. others can then "fork" your process to build their own thesis.
Example
I just published a bullish thesis on Google using our "Equity Analyst" template. you can see how the board guided the process from the initial idea to the final recommendation:
https://thesisboard.com/community/analysis/cmiqfdw9m0001ochq...
Tech stack
Next.js, prisma, postgres, and tailwind.
I’m currently in beta. I would love to know what specific workflows or templates you would find useful, or if you think the kanban approach fits this domain.
Thanks!

value: Show HN: ThesisBoard – Trello for Investment Research


value:
I built trackernews because, originally, I wanted to track opinions on few stocks I was interested in across some subreddits.
The core idea is that, by defining keywords, and a description, trackernews identifies actually revelvant posts and extracts user-defined data points from these posts.
Along with defining keywords, trackernews also allows the user to define various types of fields which trackernews extracts from the posts.
This allows the users to get a glancable/ searchable dashboards along with important insights surfaced.
I pre-created some topics which people may find interesting for publis browsing
Opinions on LLMs, agents, agentic tools - https://trackernews.app/browse/Opinions%20on%20LLMs
Discussions about Databases - https://trackernews.app/browse/Database%20Debates
Opinions and releases of Mac, IOS apps - https://trackernews.app/browse/Mac%20and%20IOS%20apps
Would love any feedback on the approach, UX and the idea.
Thanks, Praneeth

value: Show HN: TrackerNews – Keyword monitoring and insight extraction


value: mhashemi

value:
When I bought my home, the big bank I'd been using for years quoted me 7% APR. A local credit union was offering 5.5% for the exact same mortgage.
I was surprised until I learned that mortgages are basically standardized products – the government buys almost all of them (see Bits About Money: https://www.bitsaboutmoney.com/archive/mortgages-are-a-manuf...). So what's the price difference paying for? A recent Bloomberg Odd Lots episode makes the case that it's largely advertising and marketing (https://www.bloomberg.com/news/audio/2025-11-28/odd-lots-thi...). Credit unions are non-profits without big marketing budgets, so they can pass those savings on, but a lot of people don't know about them.
I built this dashboard to make it easier to shop around. I pull public rates from 120+ credit union websites and compares against the weekly FRED national benchmark.
Features:
- Filter by loan type (30Y/15Y/etc.), eligibility (the hardest part tbh), and rate type
- Payment calculator with refi mode (CUs can be a bit slower than big lenders, but that makes them great for refi)
- Links to each CU's rates page and eligibility requirements
- Toggle to show/hide statistical outliers
At the time of writing, the average CU rate is 5.91% vs. 6.23% national average. about $37k difference in total interest on a $500k loan. I actually used seaborn to visualize the rate spread against the four big banks: https://www.reddit.com/r/dataisbeautiful/comments/1pcj9t7/oc...
Stack: Python for the data/backend, Svelte/SvelteKit for the frontend. No signup, no ads, no referral fees.
Happy to answer questions about the methodology or add CUs people suggest.

value: Show HN: I built a dashboard to compare mortgage rates across 120 credit unions

author: mhashemi


value: joemasilotti

value: Show HN: The week my products felt real

author: joemasilotti

title: Show HN: The week my products felt real


value:
Hi HN,
I built an open-source self-hosted file vault that uses client-side end-to-end encryption (WebCrypto AES-GCM). The backend is designed around a simple form of moving-target defense: the container stack rotates periodically to reduce static attack surface and persistence opportunities.
It’s still early, but I would love feedback on the architecture, threat model, and E2EE approach.
Website: https://leyzen.com
Code: https://github.com/3xpyth0n/leyzen-vault

value: Show HN: Leyzen Vault – Open-Source File Vault with E2EE+Moving-Target Defense


value:
I made a tool to compare AI models side-by-side in real-time.
Pick models (GPT-5, Claude, Gemini, etc.), enter a prompt, and see responses in parallel. Fully client-side, no backend.
Demo: https://arena.jit.dev
Code: https://github.com/andronov04/airena

value: Show HN: Airena – Client-side arena for comparing AI models across 68 providers


value: irqlevel

value: Show HN: Rust Client Library for Gradium.ai TTS/STT API

author: irqlevel


value: mohyware

value:
In my country, there are harsh limits on internet quotas, so I wanted a system that shows exactly where my bandwidth goes. That’s why I built Packet Meter a system that tracks network traffic usage across all connected devices.
It’s lightweight, easy to self-host (uses SQLite for example).
I was also planning to add more features, such as device-level firewall controls, quota limits, a cloud service so you don’t have to self-host and more, but I’ll see if people are interested and where it goes from there. Since Packet Meter connects to all devices on the network, I can use this to achieve even more things.

value: Show HN: Cross-platform network traffic monitoring system

author: mohyware


value:
A new ESLint plugin that brings principles from Steve McConnell's Code Complete directly into your linting workflow. It enforces high cohesion within modules, minimizes coupling between components, and promotes other clean code practices to make JavaScript/TypeScript codebases more maintainable at scale.
Check it out at https://github.com/aryelu/eslint-plugin-code-complete. What rules would you add for better software design? Feedback welcome!

value: Show HN: ESLint-plugin-code-complete – ESLint Rules for Code Complete


value: vmsn

value: Last month, the SambaNova team, in partnership with Stanford and UC Berkeley, introduced the viral paper Agentic Context Engineering (ACE), a framework for building evolving contexts that enable self-improving language models and agents. Today, the team has released the full ACE implementation, available on GitHub, including the complete system architecture, modular components (Generator, Reflector, Curator), and ready-to-run scripts for both Finance and AppWorld benchmarks. The repository provides everything needed to reproduce results, extend to new domains, and experiment with evolving playbooks in your own applications.

value: Show HN: Stanford's ACE paper was just open sourced

author: vmsn


value: ianberdin

value: Show HN: I've built a best JSON formatter app

author: ianberdin


value: Show HN: I've built the best Python Playground


value: MaxLeiter

value: Show HN: Ten Picture-in-Picture Web Demos

author: MaxLeiter


value: donadev

value: Show HN: I built a Spotify-Wrapped generator for your website SEO data

author: donadev


value:
Problem:
I was getting intermittent repeating characters on random keys after replacing my mechanical keyboard switches with Outemo switches (spoiler: they were not the issue). This was often outside of a text-input application, spamming Ubuntu, preventing input and causing freeze-like issues.  In addition, I often didn't recognize it right away and could not reliably determine which recent modifier or other keys I had just been pressing. There was no physical indication on the keyboard to alert me either.
Solution:
I needed a way to clearly identify when a key was stuck so I could isolate other hardware components. I also needed to know which keys it was happening on to find out if it was a small set of bad switches or randomly any key.
I wasn't able to find an existing solution that
1. Monitored continuously
2. Checked for repeating keys rather than just single presses.
Implementation:
Built for Linux and tested on Ubuntu.
This runs as a simple bash script after the user configures their input device name. It can optionally be set up as a system daemon. (The README has comprehensive instructions)
The script:
1. Sets up an input stream from `evtest`
2. monitors for repeat events
3. Notifies and logs the key name when the configurable threshold is exceeded
4. ... and again if/when the same key gets unstuck
While the body of the script was designed specifically for my use case, ie repeat keys, the project is meant as a template that sets up monitoring and notifications/logging for physical inputs. You could change it to monitor other input streams, check for press down/release events, duplicate/bounce key strikes or limit the set of keys that's monitored.
Thanks!
I hope that somebody, somewhere finds this useful in some form, even if just as a reference!

value: Show HN: KeyboardNotifier: Debug intermittent keyboard/input issues


value: Tiny utility that lets multiple UI updates share one requestAnimationFrame loop. Reduces thrashing, improves smoothness. Would love feedback.

value: Show HN: I built a shared requestAnimationFrame scheduler


value: shoarek

value:
I built a small tool to make working with XML Schemas less painful. XSD files are notoriously dense. They are verbose, deeply nested, and difficult to interpret at a glance. Tracing inheritance, sequences, and choice structures by eye is tedious. I wanted something that converts these schemas into a readable data dictionary without relying on bulky enterprise software.
Who might find it useful:
- Developers dealing with legacy integrations like SOAP, banking formats, or government APIs who need to grasp the structure fast.
- Architects who have to present schema details to less technical stakeholders.
- Analysts mapping fields who would rather not sift through raw XML.
What it does:
- Everything runs in-memory with files discarded immediately. No data ever persists.
- It presents a clean visual hierarchy that makes sequences, choices, and attributes easy to follow.
- There is no signup or login. Drop the file, get the structure.
The backend is written in Go for speed, the frontend in React, and the whole thing aims to remove friction from a task that is usually slow and messy. Feedback and feature ideas are very welcome.

value: Show HN: XSD Viewer – Instant, privacy-friendly XSD to HTML documentation

author: shoarek


value:
Got tired of wiring up vector stores, embedding models, and chunking logic every time I needed RAG. So I built piragi.

  from piragi import Ragi

  kb = Ragi(\["./docs", "./code/\*\*/\*.py", "https://api.example.com/docs"\])

  answer = kb.ask("How do I deploy this?")

That's the entire setup. No API keys required - runs on Ollama + sentence-transformers locally.
What it does:

  - All formats - PDF, Word, Excel, Markdown, code, URLs, images, audio

  - Auto-updates - watches sources, refreshes in background, zero query latency

  - Citations - every answer includes sources

  - Advanced retrieval - HyDE, hybrid search (BM25 + vector), cross-encoder reranking

  - Smart chunking - semantic, contextual, hierarchical strategies

  - OpenAI compatible - swap in GPT/Claude whenever you want

Quick examples:

  # Filter by metadata
  answer = kb.filter(file_type="pdf").ask("What's in the contracts?")

  #Enable advanced retrieval

    kb = Ragi("./docs", config={
     "retrieval": {
        "use_hyde": True,
        "use_hybrid_search": True,
        "use_cross_encoder": True
     }
   })

  # Use OpenAI instead
  kb = Ragi("./docs", config={"llm": {"model": "gpt-4o-mini", "api_key": "sk-..."}})

Install:

  pip install piragi
  PyPI: https://pypi.org/project/piragi/

Would love feedback. What's missing? What would make this actually useful for your projects?

value: Show HN: RAG in 3 Lines of Python

title: Show HN: RAG in 3 Lines of Python


value:
I have been trying to get LLMs to handle real infra/DevOps tasks, and the biggest issue is that they don’t have reliable context. Infra is deeply interconnected, one misconfig can break a system.
So I built Paarvai.
It connects to your cloud and IaC (read-only), builds a dependency graph, and gives LLMs the full picture of how everything is mapped and configured.
Unlike tools that make on-the-fly calls (like Amazon Q), Paarvai stores the whole state and all relationships upfront, so agents or tools like Cursor/Claude/GPT can do things like:
1. Understand dependencies (“What depends on this SQS queue?”)
2. Identify breakage (“Will disabling this Lambda break an API route?”)
3. Generate IaC with full context (“Write Terraform for this component using my current infra.”)
We just launched the MVP with AWS support.
I’m looking for early users, completely free.
If you try it and want something added, I will personally integrate your feature requests.
Link: https://paarvai.app
Happy to share details or answer questions.

value: Show HN: Paarvai – Infrastructure context for LLM-based DevOps agents


value: malikrasaq

value:
I’m Malik, a Strategy and product engineer. Here’s my portfolio showcasing the products and engineering work I’ve done: malikrasaq.me
Feedback appreciated!

value: Show HN: My Portfolio as a Strategy and Product Engineer

author: malikrasaq


value: Show HN: HortusFox v5.5 – a selfhosted, collaborative management app for plants


value: denysvitali

value: Show HN: Bttrne.ws (BetterNews) – Yet Another UI for Hacker News

author: denysvitali


value:
I built Copyly to solve a problem every e-commerce team faces: writing product descriptions that actually convert.
Instead of hiring expensive copywriters ($2,400+/month) or spending hours writing copy, you paste a competitor URL and get superior descriptions in 30 seconds.
What it does:
Analyzes competitor URLs to understand what works
Generates multiple variants with SEO scoring
Maintains your brand voice across thousands of products
Exports directly to Shopify/WooCommerce
Results so far:
31% higher conversion rates vs human copy
10x faster than traditional methods
Used by 10,000+ brands
The key insight: instead of starting from scratch, analyze what's already working and make it better.
Try the demo (no signup): https://saa-s-marketing.vercel.app/
What features would make this most useful for your e-commerce needs?

value: Show HN: Copyly – AI that beats competitor product descriptions in 30 seconds


value: airobus

value:
Hi HN! I built Shuffalo, an unlimited word puzzle
game inspired by The New Yorker's daily word puzzle.
The problem: Daily word games only give you one
puzzle per day, then you have to wait 24 hours.
Shuffalo offers 300 archived puzzles you can play
anytime. Each puzzle has 5 levels (4-8 letters).
Spin the letter wheel, form words, use shuffle when
stuck.
Features:
- Completely free, no signup required
- Works on mobile and desktop
- No ads, no subscriptions
- 300 puzzles = 1,500 words to discover
Built with Next.js and deployed on Cloudflare. Would love your feedback!

value: Show HN: Shuffalo – Unlimited free word puzzle game

author: airobus


value: sparksupernova

value:
I've been building an AI agent framework for myself for the last year because I got tired of re-explaining context to my LLM every morning.
Google just announced "Antigravity" to solve this, which looks amazing, but it locks you into their cloud and their models (Gemini). I wanted something that:
1. Runs 100% locally on my machine.
2. Works with any model (I switch between Claude 3.5 Sonnet and GPT-4o).
3. Persists memory in simple JSON files I can edit/version control.
I call it *EchoCopi*. It's a Python-based "memory organ" + a background worker script that executes tasks while I sleep.
I'm releasing the core memory module as open source (MIT) today. I'm also finalizing a "Full Autonomy" suite (background worker + VS Code integration) that I'll release later this month.
*Core Repo:* https://github.com/SparkSupernova/EchoCopi
*Full Suite:* (Coming late Dec 2025)
Happy to answer questions about the architecture or how I use it to maintain a "sentient" coding partner.

value: Show HN: EchoCopi Local-first, model-agnostic alternative to Google Antigravity

author: sparksupernova


value:
Hi HN,
we’ve been working on Seedream 4.5, a next-generation image model focused on high consistency, realistic detail, and multi-image creative control. It’s designed for creators who need stable characters, clean structure, and production-grade visuals — not just lucky one-off generations.
Key features:
Multi-Image Consistency: Maintain the same face, style, lighting, and scene logic across batches or sequential renders.
High-Fidelity Rendering: Improved materials, shadows, anatomy handling, and fine-detail realism.
Flexible Workflows: Supports text-to-image, reference-to-image, multi-reference fusion, style transfer, layout-aware generation, and high-res outputs.
Creator-Ready Editing: Modify backgrounds, clothing, mood, and composition while preserving identity and structure.
Fast Iteration: Generate multiple variations, refine style, or re-render consistent character sets in seconds.
Why we built this:
Seedream 4.5 aims to make coherent, editable, production-oriented image generation accessible to artists, designers, marketers, and anyone building multi-shot or multi-style visual workflows.
We’d love feedback on:
How you’d use high-consistency image models in your projects.
What tools or APIs would make Seedream easier to integrate.
Try it here: https://www.seedream4.net/seedream-4-5?i=d1d5k

value: Show HN: Seedream 4.5 – High-Consistency AI Image Generation for Creators


value: shoarek

value:
Hey HN,
I built Elevate because I wanted a "New Tab" page that felt calm and grounded, but I also needed a quick way to check top tech news without getting sucked into an infinite scroll loop.
Most existing dashboards I tried were either too cluttered, required accounts, or simply lacked the one feature I actually wanted: a quick, unobtrusive view of Hacker News.
What it does:
- Calm Dashboard: Time, local weather, and a daily background/quote to set the tone.
- The HN Drawer: A collapsible sidebar that fetches top stories. It stays completely out of your way until you explicitly want to see it.
- Privacy First: No analytics, no tracking. Your name and location settings are stored purely in chrome.storage.local.
- Lightweight: Written in Vanilla JS (ES6 modules), no heavy frameworks.
It's open source and I’d love to hear what you think. Specifically interested if the HN drawer interaction feels right to you all.
Cheers

value: Show HN: Elevate – A minimal, privacy-first new tab with a collapsible HN drawer


value: Show HN: Canvas and Agent: Cursor and Canvas makes a baby


value: sputnikwrkshp

value:
I've been tinkering with a browser-based rhythm game creation tool. The pitch is simple: AI makes the music, Essentia.js figures out the beats, and you write the game logic in JS.
Demo: https://rhythm-seodang-web.vercel.app/
The problem I wanted to solve: most rhythm game workflows are heavy. Proprietary editors, manual charting, fixed gameplay patterns, desktop-only. I wanted something where you could just... open a browser tab and start messing around.
How it works:
- Music comes from AI services (Suno/Udio). No user uploads, no copyright headaches.
- Essentia.js (WASM port) runs entirely in-browser. Beat tracking, onset detection, energy curves, segment boundaries, all client-side.
- The output is a timing-only chart. What you do with that timing is up to you.
The fun part is the minigame sandbox. Charts and gameplay are completely decoupled. You define spawn rules, input handling, rendering, all in short JS functions. Same chart can become a taiko-style drum game, a directional swipe thing, or something experimental. Preview runs instantly.
Tech: Next.js, Essentia.js, custom rhythm engine, Canvas rendering, deployed on Vercel.
Current state: playable with sample tracks, chart generation works, minigame workshop is functional. In-platform AI music generation (prompt to track to playable) is next. Still rough around the edges.
If you've worked with WebAudio or rhythm engine internals, curious what you think. Feedback welcome.

value: Show HN: AI music and auto-charting and custom rhythm minigame sandbox

author: sputnikwrkshp


value: passioner

value:
I recently built a free AI Room Design tool that lets you upload a photo of any room and instantly generate redesigned versions. Multiple styles are available: modern, minimalist, Scandinavian, industrial, and more.
It works directly in the browser, no login required, and preserves your room’s layout while applying the new style.
Would love to hear feedback on styles, UX, or technical improvements!

value: Show HN: A free AI Room Design tool that redesigns any room in seconds

author: passioner


value: Simply upload your video, select the area you want to remove, and after processing, you can download it for free! Friends, give it a try and feel free to share your feedback～

value: Show HN: Video Watermark Remover – Remove Watermarks from Videos Instantly


value: kaicbento

value:
I got tired of reinstalling Windows manually every time, so I built a full post-install automation using winget.
Free, open source, customizable.
If anyone wants to give feedback or send PRs, I’d love it.

value: Show HN: Win Setup Generator – My setup script turned into an open-source tool

author: kaicbento


value:
Hi HN,
we’ve been building Kling O1 Image, an image-generation tool that extracts core features from up to 10 reference images and produces visually consistent results across scenes and compositions. It’s designed for creators who want stable character design, precise edits, and controllable style without heavy editing workflows.
Key features:
High Feature Retention
Extracts contours, materials, and tone across multiple images to keep identity and style consistent in series. Useful for IP character design, comics, and brand visuals.
Precise Detail Modification
No professional editing required. Add, remove, or modify details using natural-language instructions while preserving lighting, texture, and overall style continuity.
Accurate Control of Style & Tone
Reconstructs reference styles — brush strokes, palette logic, and composition — enabling cinematic scenes, 3D figurine looks, and niche aesthetics with natural blending.
Rich Imagination
Blend different concepts, doodles, and visual ideas without awkward seams. Supports creative composition for complex themes and scene design.
Use cases:
Filmmaking & pre-production, portrait stylization, e-commerce visuals, IP design, comic/webtoon scenes, posters, concept art, social content.
We’d love your feedback on:
• How you’d use multi-reference image generation in your workflow
• What integrations or APIs would help your pipeline
Try it here:
https://www.klingo1ai.net/kling-o1-image?i=d1d5k

value: Show HN: Kling O1 Image –Consistent Image Generation from Multi-Reference Inputs


value: Show HN: From Personal Script to Public Tool – How I Built a Windows Setup Gen


value: alexpadula

value: Hey everyone, I am sharing my open-source storage engine project TidesDB.  I'd love to hear your feedback and thoughts.<p>Cheers.

value: Show HN: TidesDB – A storage engine that outperforms RocksDB

author: alexpadula


value: grazulex

value:
Hey HN,
I built Shipmark because I was frustrated with release tooling that required installing GitHub CLI, GitLab CLI, or other heavy dependencies just to tag and release.
Shipmark is a CLI that handles the entire release workflow using only native Git:
- Interactive prompts to bump versions (semver + prereleases)
- Automatic changelog generation from Conventional Commits
- Preview of all changes before execution
- Non-interactive mode for CI/CD pipelines
It's a single npm install with no external dependencies.
npm install -g @grazulex/shipmark
I use it daily for my projects and it's saved me a lot of time. Would love to hear your feedback or how you handle releases in your workflow.
https://shipmark.tech

value: Show HN: Shipmark – Git release management CLI with zero dependencies

author: grazulex


value:
Hey HN,
I've been coding with Claude and Cursor for over a year now, and I kept running into the same problem: traditional task managers don't fit the AI-assisted workflow.
So I built BackMark – a CLI task manager where every task is a plain Markdown file with dedicated spaces for AI collaboration:
- ai_plan: where the AI breaks down the approach
- ai_notes: context the AI discovers while working
- ai_documentation: auto-generated docs
- ai_review: AI self-assessment before handoff
Why Markdown? Your tasks are just .md files with YAML frontmatter. Git-friendly, future-proof, readable in any editor. No database, no cloud, no lock-in.
It's also fast – LokiJS indexing gives sub-10ms queries even with 1000+ tasks.
Everything runs 100% offline. No accounts, no telemetry.
npm install -g @grazulex/backmark
I use it daily for my own projects. Curious if others have struggled with task management in the "vibe coding" era and how you've solved it.
https://backmark.tech

value: Show HN: BackMark – Markdown task manager built for AI-assisted coding


value: ckrapu

value: Show HN: Honor Quote – a new way to spot AI cheating on schoolwork

author: ckrapu


value:
Hi HN,
We’ve been building Kling 2.6, a new model that generates video and native audio together in one pass. Instead of producing visuals first and adding sound later, Kling 2.6 co-generates frames, voices, SFX, and ambient sound as a unified output.
Key Features of Kling 2.6
Audio–Video Co-Generation
Kling 2.6 creates visuals and native sound at the same time — every frame aligns with tone, pacing, and motion for stronger immersion.
Natural, Synced Voices
Character speech is generated directly from the model. Lip movement, personality, and expression stay consistent and believable.
Complete Audio–Visual Moments
The output includes visuals, voiceovers, ambient sound, and effects — ready to use without post-production.
Integrated Soundscapes
Matching SFX and layered ambience make scenes feel cinematic, even for short clips.
New Creative Possibilities
Because visuals and audio come from one model, creators can explore storytelling, product demos, launch videos, and social content without editing pipelines.
Use Cases
Marketing videos with native voiceovers
Narrative scenes with emotional pacing
Product explainers with natural narration
Cinematic social content for Reels/TikTok/Shorts
We’d love feedback on:
Where Kling 2.6 fits best in production workflows
What control tools you’d want for sound + motion
Ideas for API or editor integration
You can try it here:
 https://www.klingo1ai.net/kling-2.6?i=d1d5k
Thanks for reading — excited to hear your thoughts.

value: Show HN: Kling 2.6 – Unified Audio-Video Generation from a Single Prompt


value: ohtarnished

value: Thought it was cool that Antigravity could call nanobanana to generate hero images, so stole the idea!

value: Show HN: Nano Banana Pro MCP

author: ohtarnished

title: Show HN: Nano Banana Pro MCP


value: defcc

value:
Hi HN,
I built a tiny tool because I couldn’t find a clean, distraction-free monthly planner that:
1. shows a clean monthly task view
2. doesn’t require an account
3. doesn’t sync or store anything online
4. works offline
5. is printable
6. and keeps a minimal, distraction-free aesthetic
So I made https://printcalendar.top/
 — a minimal monthly task planner.
It’s intentionally simple. No logins, no integrations, no dashboards.
Just a small tool for people who want structure without clutter.

value: Show HN: A Minimal Monthly Task Planner (printable, offline, no signup)

author: defcc


value:
Hey HN,
I've been working on Onetone Framework for the past few years and finally releasing it as open source (AGPL 3.0).
*What is it?*
Onetone is an ambitious full-stack development framework that includes:
- Custom C interpreter with its own scripting language (.otc files)
- 27,000+ line OpenGL 3D graphics engine with PBR materials, skeletal animation, physics, and particle systems
- PHP web framework with MVC architecture
- Python utilities and tooling
- 716,000+ lines of code across 17 programming languages
*The scripting language features:*
- Classes, inheritance, generators, async/await
- Records, enums, pattern matching
- Built-in collections (ArrayList, HashMap, HashSet, TreeMap, etc.)
- Template strings, destructuring, spread operators
- Native bindings for OpenGL, Windows API, audio, networking
*Why build this?*
I run a game localization and needed a unified toolset for:
- Visual novel engines
- Translation management tools
- Quick prototyping with native performance
Instead of gluing together multiple languages and frameworks, I built one cohesive system.
*Current status:*
- Windows-focused (uses WinAPI extensively)
- Some features still in development (generators, full async support)
- Documentation is a work in progress
GitHub: https://github.com/onetoneframework/framework
Would love feedback from the community.
*Roadmap & Vision*
My goal is to evolve Onetone's scripting language to reach Python-level usability and ecosystem richness. I want developers to be able to pick it up as easily as Python while retaining native performance.
*A note on development process*
I want to be transparent: this project was developed with significant assistance from Claude (Anthropic's LLM). The codebase is a mix of hand-written code and LLM-generated code, with me directing the architecture, debugging, and integration.
I found this workflow surprisingly effective for a project of this scale – the LLM helped with boilerplate, documentation, and exploring implementation approaches, while I focused on design decisions and fixing the subtle bugs that AI still struggles with.
Whether you see this as "cheating" or the future of development, I think it's worth discussing. The 700K+ lines wouldn't exist without this collaboration, and I'm curious how others feel about AI-assisted open source projects.
There were many errors and strange bits of code produced by the LLM, and I spent a lot of time tracking down memory leaks; in fact, there isn’t a single piece of LLM-generated code that I didn’t end up modifying. I still think "vibe coding" has a number of issues.

value: Show HN: Onetone – A full-stack framework with custom C interpreter


value: fthiesen

value: Show HN: Mirror_bridge – C++ Reflection powered Python binding generation

author: fthiesen


value: vishalveera

value: Show HN: Lynkr – Claude Code-Compatible Proxy for Databricks/Azure Anthropic

author: vishalveera


value: crovia

value:
Crovia generates a single ~8 KB file (CEP.v1) containing:
• trust bundle (EU AI Act ready)
• royalty receipts from real FAISS provenance
• payouts summary + Gini coefficient
• full hashchain
• compliance metadata
Zero cloud, zero blockchain, fully offline-verifiable in seconds.
https://github.com/croviatrust/crovia-core-engine

value: Show HN: Crovia – offline-verifiable AI royalty evidence (CEP.v1)

author: crovia


value: levmiseri

value:
Hello HN! We're a team of three building a new kind of web-based markdown editor.
There are many editors out there, so one is spoiled for choice, but Kraa's approach is a little different. It's trying to be both a minimal and distraction-free experience while being feature-rich and allowing for tons of use cases.
What Kraa's good for:
- Distraction-free writing & reading (minimal UI, performant, styling logic completely separated from the editing experience)
- Quick sharing of any written text – compared to many other writing tools, your content can be easily shared just by posting a link and giving 'read' or 'edit' access (we also have password-protection)
- Real-time chat / communities – Kraa has some unique features around real-time editing and our Chat widget allows for a frictionless chat experience. No send button.
- Kraa works well on mobile (though dedicated apps are planned)
---
Demo examples (all live, no login needed):
Blog article: https://kraa.io/kraa/examples/echolibrary
Long-form story: https://kraa.io/kraa/examples/insidekick
Magazine: https://kraa.io/weeklyinspiration
Kraa is built on top of ProseMirror (and TipTap) and Svelte.
You don’t need an account to try Kraa. We’d really appreciate your thoughts and feedback!

value: Show HN: Kraa – Writing App for Everything

author: levmiseri


value:
Crovia generates a single ~8 KB file (CEP.v1) containing:
• trust bundle (EU AI Act ready)
• royalty receipts from real FAISS provenance
• payouts summary + Gini coefficient • full hashchain
• compliance metadata
Zero cloud, zero blockchain, fully offline-verifiable in seconds.
https://github.com/croviatrust/crovia-core-engine

title: Show HN: Crovia – offline-verifiable AI royalty evidence (CEP.v1)


value: Show HN: Uatu – An AI assistant for system troubleshooting


value: mektrik

value:
Hey HN, I've been trying to correct for one of the biggest difficulties with moving from SEO -> GEO, which is the lack of public data (in the same way that for SEO we had ahrefs/semrush/etc).
To try and start fixing this, I've built a searchable database of 15k brands, across 500 different industries, with daily updates.
Each morning, the tool goes out and queries 10k different prompts, and normalises the results to all the relevant brands.
You can also see some of the most interesting tech rivalries here: https://trakkr.ai/rankings/rivalries
Would love your thoughts on anything to add :)

value: Show HN: Searchable AI visibility index (15k+ brands, 500 industries)

author: mektrik


value: aiseoscan

value:
I build a lot of small products myself and I realized how many indie founders want an exit that doesn’t involve platforms charging large commissions or requiring big revenue numbers. Sometimes a project makes $50/month, sometimes $500, sometimes $0 but has a great codebase, and that’s enough value for someone else.
So I built buy-startups.com, a very simple, privacy-friendly marketplace for buying and selling small online startups.
It’s not fancy. There’s no commission, no listing fee, no hidden funnel. Just a straightforward way for indie devs and bootstrappers to list a project and connect with someone who wants to pick it up.

value: Show HN: I made a simple, 100% free marketplace to buy or sell micro-startups

author: aiseoscan


value:
I made https://startuplaunchday.com
because I was constantly bouncing between Hacker News, random newsletters, Twitter, and government portals just to answer three simple questions:
What did people launch today?
What’s actually trending in startups right now?
Are there any funding opportunities I should know about?
StartupLaunchDay pulls those into one place and updates automatically every day.
On the site, there are three main views:
Launches – a daily feed + archive of startup/product launches, so you can quickly see what other founders are shipping and dig through previous days if you need inspiration or competitors to study.
Trends – a “what people are actually searching for” view of startup topics (ai, SaaS products, developer tools, startup funding, etc.), so you can get a sense of real demand and not just vibes.
Grants – curated funding opportunities grouped by category (technology, healthcare, small business, energy, etc.), with deadlines and links to the official pages, so you don’t have to dig through government sites yourself.
On top of that, founders can also list their own startup on the site. Listings get their own SEO page, a dofollow backlink, and permanent placement for a one-time payment (no recurring fees). The idea is: if people come here specifically to discover startups and research markets, your listing should be something they can actually find later, not just a tweet that disappears in a feed.

value: Show HN: I made StartupLaunchDay,daily startup launches and funding in one place


value: chunqiuyiyu

value: Show HN: I made a game to learn Chinese through character components

author: chunqiuyiyu


value: ianberdin

value: Show HN: I've built the best online Python Compiler

author: ianberdin


value: retrofuturism

value:
Without a _real_ use case for my Raspberry Pi I began experimenting with pushing it to the limits.
Max runs gemma2:2b to write a diary every night at midnight GMT. The diary model hands off the diary entry to a "dreamer" model which writes a prompt to be drawn by stable diffusion (SDXL Turbo, via ONNXStream).
When I realized its days were just boring server stats I built it a dungeon crawler, which it hosts and plays on different processes.
The whole "point" of the project is to be a self-sufficient little computer where everything is computed locally.
I may have gone off the rails with this one.

value: Show HN: Max the Raspberry Pi

author: retrofuturism

title: Show HN: Max the Raspberry Pi


value: rbester

value: This is my very first published app so I chose a stopwatch which seemed simple enough... Yet it was quite challenging and a long process as I kept wanting to add more and more features to it... I don't think too many people are using stopwatches these days, but this one is pretty special... its appearance can be customized in many ways. It can be quite handy as well for tracking time and getting better at managing it (you can save your stopwatch sessions and look at past results). You can also share your results or export them. So please try it. Initial iOS version was just released. Android is coming soon. Feedbacks very much appreciated.

value: Show HN: Advanced Stopwatch App for iOS

author: rbester

title: Show HN: Advanced Stopwatch App for iOS


value:
I've built a mini word puzzle game called Letter Flow, a relaxing word puzzle game that uses Apple’s new iOS 26 Liquid Glass design.
It’s smooth, satisfying and already played by over 1K people in just two weeks. Try it out and share your feedback, we’d love to keep improving it!
Features:
• Smooth liquid-style letter motion
• Easy drag-and-drop gameplay
• Clean and colorful design
• Fun word categories like fruits, animals, and places
• Helpful hints when you get stuck
• Replay your favorite levels anytime

value: Show HN: Made a mini word puzzle game – Letter Flow


value: ngninja

value: Show HN: Stop scanning text manually I built app to streamline LinkedIn

author: ngninja


value:
I built Banana Pro, a simple web app for text-to-image generation and context-aware editing using Google’s official flash image API.
Upload an image (JPG/PNG/WebP, up to 6MB)
Edit with text prompts or blend styles
Get consistent, high-quality results in seconds
It’s free to try (first enhancement is free). Feedback and ideas welcome!

value: Show HN: Banana Pro – AI image editing powered by Google's official API


value: hendrikvandyck

value: AI assistance and expert human design to deliver brand identities like a high-end agency would do.

value: Show HN: We built something with AI to get jobs for human designers

author: hendrikvandyck


value:
When I started freelancing, I was shocked how many small businesses had no idea their servers were exposed. Basic stuff, open database ports, expired SSL certs, missing security headers. The tools to find this existed, but they were either enterprise-priced or required security expertise to use.
I built Deft to make security scanning accessible. Point it at any domain, checks certificate, analyzes email security (SPF/DKIM/DMARC), and grades your security headers – all in about some seconds.
Features:
- Port scanning with service detection across main domain + top 10 subdomains
- Subdomain discovery via certificate transparency and passive recon
- Email security analysis with actionable grades (A-F)
- Security headers audit (CSP, HSTS, X-Frame-Options, etc.)
- Executive summary for non-technical stakeholders
- No signup required for the free scan
The free tier gives you a solid overview. Paid reports ($29) add full CVE vulnerability detection, complete subdomain scanning, and a detailed PDF report you can share with your team.
I've been using this to audit client sites before taking on projects. Found an exposed MongoDB on a $2M ARR SaaS last month – they had no idea.
Try it: https://deft.is
Happy to answer questions about the methodology or the security tools under the hood.

value: Show HN: I built a free security scanner for your domain


value: danielkempe

value:
I speak to so many people asking me about their ideas, and the majority of the time, they are just terrible.
I decided it was time to build a place that's so honest, it's brutal.
Submit your ideas, get roasted, save time...or validate it and ship ship ship.

value: Show HN: I built an app to validate ideas. The internet decides if it's shit

author: danielkempe


value: lorenzosch

value:
I built Sonusly. Think Hacker News, but for music.
You search for a song, create a post with a title, and people can vote and discuss.
Here’s what you can do:
You can vote on posts you like by clicking ▲, with each vote costing 1 karma. Your karma starts at 100 and you earn 5 more each day you’re active if it’s below 100. You can save songs with the bookmark icon and save post discussions you care about for later. Click “listen” to hear a song in Spotify, use comments to discuss it with others, and click “share” to copy the post’s link/image.
Post example: https://www.sonusly.com/s/21B4gaTWnTkuSh77iWEXdS/p/dyi3czjdl...
First project I’ve ever shipped. I’d love feedback

value: Show HN: Made HN, but for Music – Sonusly

author: lorenzosch


value:
I had a sweet deal $5k/mo customer. Their usage had been dropping for weeks, but I was busy building features to notice. Got the cancellation email on a Tuesday morning.
That's a $60k/year in revenue I could have saved with a 10-minute phone call, if I'd known they were struggling.
So I built https://firstdistro.com . It watches your customers' health (usage, engagement, activity) and alerts you when someone's at risk.
One script tag. Health score in minutes. Alerts to Slack, email or Attio crm.
Happy to answer questions about churn prediction, customer health scoring, or how we calculate signals.
https://firstdistro.com

value: Show HN: FirstDistro – I lost a $5k/mo customer overnight


value:
I built a boilerplate that lets developers launch an AI image generation app in hours instead of weeks.
It includes Next.js 15, Supabase auth/storage, Stripe integration, rate limiting, and support for 50+ Replicate models out of the box.
The goal was to avoid rebuilding the same auth, credits, webhooks, and image pipeline every time.
Would love feedback on architecture, DX, and what features are missing for real production use.
Landing Page / Waitlist here: https://lacy-yoke-439.notion.site/PlutoSaaS-Build-Your-AI-Im...

value: Show HN: AI Image Generation Boilerplate (Next.js and Supabase and Stripe)


value: RPeres

value:
I’m new to Disney Lorcana and built a tool to learn the game by brute force.<p>InkStats lets you paste in two decks and have AI vs AI play hundreds of games. It then shows:
Matchup win rates with confidence intervals
Game length / play–draw split
“Key cards” – how much a deck’s win rate changes when a specific card is seen or in the opener
The bots are simple but consistent: a rules engine plus heuristic evaluation with some lookahead, so both decks play the same “robot pilot” every game.

value: Show HN: InkStats – AI vs. AI Simulator for Disney Lorcana Decks

author: RPeres


value: Kovacbb

value:
Hey HN, I built GridSport.Games as a side project.
What it is: Daily football/soccer trivia puzzles inspired by Immaculate Grid and Wordle.
Two game modes:
- Grid Game: 3x3 grid where each cell needs a player matching both row and column criteria
- Football Bingo: More forgiving with multiple guesses allowed
Tech stack:
Alpine.js, Tailwind CSS, full PWA with offline support, zero accounts (localStorage only).
Target: <100KB bundle, <1s FCP, 99+ Lighthouse.
12 locales: DE, EN, ES, FR, IT, NL, PL, PT, TR, AR, JA, KO.
Privacy:
No accounts, no cookies, no tracking. Just localStorage. GDPR compliance by design.
Happy to discuss the PWA implementation, multi-language routing, or the scoring algorithm.

value: Show HN: GridSport.Games – Daily football/soccer trivia (PWA, 12 languages)

author: Kovacbb


value: pattle

value: Show HN: I built a game where you race from one side of the world to the other

author: pattle


value: ikolding

value: Show HN: FiliGrid – A daily word association puzzle

author: ikolding


value: timoslav

value: Show HN: AI-powered trading psychology insights

author: timoslav


value: hjinco

value:
Hi everyone, I built a small desktop markdown note app called Mdit.
I wanted something as simple and minimal as Apple Notes.
I also wanted Notion style slash commands so you can write without knowing markdown syntax, while still keeping the freedom of plain local .md files like Obsidian.
I'd appreciate any feedback.
Website: https://mdit.app
GitHub: https://github.com/hjinco/mdit
Currently supports macOS only.

value: Show HN: Mdit – clean Markdown notes with local files

author: hjinco


value: Show HN: Smmai – a "vibe design" generator for social media banners


value:
Hi HN,
I spent years working as an institutional allocator and an equity portfolio manager.
I built this because I wanted to address the frustration of fragmentation of the investment research process. Most analysts (myself included) operate in a chaos of 50+ browser tabs, scattered Excel models, and disconnected Notion notes.
ThesisBoard is a workspace to fix this. It is basically Trello meets a community-curated directory of financial tools.
What it does
It provides a structured board for your research, backed by an evolving library of:
Templates: Step-by-step workflows (e.g., "Equity deep dive," "macro thematic").
Tools: A community-curated directory of 100+ specialized research tools (like Tegus, Quartr, or specific FRED datasets) mapped to the relevant stage.
Prompts: Tested AI prompts for financial analysis that run directly within your cards.
The goal is to give you context: when you open a card for "Valuation," the board automatically surfaces the right modeling tools and data sources for that step.
Example
I just published a bullish thesis on Google using the "Equity analyst" template. You can see how the board helped structure the process from idea to recommendation:
https://thesisboard.com/community/analysis/cmiqfdw9m0001ochq...
Tech stack
Next.js (App Router), Prisma, Postgres, and Tailwind.
I’m currently in beta. I’d love to know if you think the board (Kansan) approach fits this domain, or what specific templates you'd like to see.
Thanks!

value: Show HN: ThesisBoard – structure your investment research


value: mnalli

value: Show HN: Msm – Minimal Snippet Manager for the shell (fzf-based)

author: mnalli


value: bairess

value: Show HN: Fanfa – Interactive and animated Mermaid diagrams

author: bairess


value: englishcat

value:
I'm a backend engineer with almost zero design experience. I experimented with a “Dual AI” workflow to brute-force a professional landing page.
What I built

  A landing page for Lingoku (language learning extension): https://lingoku.ai/en/learn-japanese

The workflow (short)

  - The Hands (Figma Make): auto-generated raw UI drafts from my feature list.

  - The Brain (Gemini 3 Pro): I fed screenshots and asked it to act as a Senior Designer — critique colors, visual hierarchy, clarity, and trust signals.

  - The Loop: I applied Gemini’s specific feedback in Figma and repeated — dozens of “roast & fix” iterations.

What I want from HN

  Be blunt — is this page actually professional? If not, what are the top 3 things you’d change immediately?
  Also: can you suggest a step-by-step AI-assisted workflow I can follow to improve this (tools, prompts, and order of operations)?

Context / constraints

  I'm a solo backend dev; I want a reproducible process I can run with AI + Figma.

  UX/performance tradeoffs are fine — prioritize visual clarity, trust, and conversion.

Thanks for any critiques, specific edits, or prompt examples — I’ll iterate and share updates.

value: Show HN: I used Gemini 3 Pro to design my landing page

author: englishcat


value:
I built Avatar Cropper to help users frame perfect avatars without sending photos to a server.
It runs 100% in your browser for maximum privacy.
The tool now supports fetching images via URL, applying filters, and works offline. It is free, open-source, and requires no signup.

value: Show HN: Avatar Cropper – Quickly Crop Avatar for Discord, X, etc.


value: asibahi

value:
Hello
I am currently unemployed so I am filling my time porting Rust libraries to Zig. This is a port of ttf_parser [1] which is used by almost the entire Rust ecosystem.
The port is not complete yet, but I think there is enough utility there to build shapers and rasterizer on top of it just fine.
Just like the Rust original, `tatfi` is almost stateless, almost allocation-free, and aims to be completely safe and panic free. Obviously Zig does not have the same safety guarantees as Rust, but I tried my best. It does help that there is almost no allocation in the library.
There is still need to add tests (port the tests), and I will work on those as soon as I finish the API surface.
[1]:https://docs.rs/ttf-parser/latest/ttf_parser/

value: Show HN: Tatfi – A Font Parser in Zig

author: asibahi

title: Show HN: Tatfi – A Font Parser in Zig


value: kumaras

value:
Hi HN — ProbeOps Horizon is a Playwright-based geo testing browser. It lets you test how a site behaves from different regions using real Chromium sessions routed through regional egress nodes (instead of just header spoofing).
Use cases:
- geo redirects / pricing / localization
- CDN / edge routing differences (Cloudflare/Akamai/Fastly/CloudFront)
- consent banners, payment flows, bot checks
- per-region artifacts: HAR + TTFB/waterfall, screenshots/video, console/network logs
Current: local client (per tab/context region routing).
Links: (demo)
https://youtu.be/jXAnWzLue_c
Feedback I’m looking for:
which regions matter most,
which geo-specific behaviors you need to validate,
local vs cloud mode preference.
Happy to answer technical questions.

value: Show HN: ProbeOps Horizon Browser – Test your site from different countries

author: kumaras


value: xmorse

value: Show HN: Tuistory – Playwright for terminal user interfaces

author: xmorse


value: pless

value: Show HN: RainCheck – Weather-aware running trainer I built in 5 days with Claude

author: pless


value: A horizontal timeline showing exactly how you spent your hours across clients and tasks — sortable and exportable.

value: Show HN: I Made a Multi-Project Time Tracking Timeline


value: articsputnik

value: Show HN: Open-Source FinOps – AWS/GCP Cost Analytics with ClickHouse and Rill

author: articsputnik


value: ChernovAndrei

value:
I've just launched a browser-based UI for running forecasts on top of foundation time-series models.
For now, it uses Chronos-2 underneath, with more models coming soon.
Try it here: https://faim.it.com/forecast-studio

value: Show HN: UI front end to forecast with foundation time-series models

author: ChernovAndrei


value: aditgupta

value: Hello HN! I’ve been working on a small tool that helps you move from quick wireframe experiments to solid, production-ready prompts. As a designer, I’ve always felt that getting the structure right early saves a ton of pain later. TypMo leans into that idea by grounding everything in IA-style wireframes-  fast to create, easy to iterate, and perfect for figuring out what you actually mean before throwing prompts at AI.<p>I’m now pushing it a step further with a lightweight DSL. Still early, still rough around the edges, but with some AI help it’s starting to feel real. Would love to hear what you think!

value: Show HN: TypMo – Markdown for Wireframing

author: aditgupta


value: stlattack

value: Show HN: I built a 3D probability map for a White Christmas (React and Mapbox)

author: stlattack


value: mikias

value: Show HN: I analyzed 8k near-death experiences with AI and made them listenable

author: mikias


value: Justbeingjustin

value: Hi HN, I’m Justin. I built Fleet Fund to let anyone invest fractionally in machines that earn income. I’m starting with EV chargers, where charging sessions generate passive revenue that can be shared with investors.<p>This is an early prototype with just a waitlist and a simple demo. I’d love feedback on the concept and where you think this could go next, whether robotaxis, humanoid robots, or AI-managed machine portfolios.

value: Show HN: Fleet Fund – Invest in Machines That Earn

author: Justbeingjustin


value: hubertmarek

value: Show HN: Do we need MCPs? Reverse-engineered Slack and Linear API for Evals & RL

author: hubertmarek


value: frag

value:
Hi!
I’m building Intrepid, a visual behavior system for robotics that lets you turn any existing function (ROS1/ROS2, PyTorch, navigation, sensors, etc.) into a reusable behavior node with zero rewrites and no glue code.
You just register a function and it becomes a visual block you can plug into missions.
Python SDK, agent, and a short walkthrough video are linked.
SDKs for other languages like C/C++, Rust, Js in preparation.
Technical differentiator: nodes are created by direct runtime registration of real functions (no DSL, no code generation, no wrappers).
Demo video: https://youtu.be/lu8fDki-n5E
Python SDK: https://pypi.org/project/intrepid-python-sdk/
Agent download: https://intrepid.ai/product/#download
Would love feedback from people building real robots (in particular but not limited to drones, ground vehicles, but also ground stations)

value: Show HN: Intrepid – A Visual Behavior Builder for Real Robotics Code

author: frag


value: AwkwardPanda

value: Show HN: Onlyrecipe 2.0 – I added all features HN requested – 4 years later

author: AwkwardPanda


value: Sai-HN

value:
I built this because most LLM infra repos are either huge (impossible to learn from) or too toy-like to reflect how real inference systems behave.
There was no middle ground for people who want to understand KV caching, batching, routing, sharding, or scaling—without needing a cluster or reading 5k-line abstractions.
LLM-Infra-Lab provides small, readable, reproducible demos of real infra primitives (vLLM-style KV cache mock, batching simulator, minimal router/workers, JAX pmap model, etc.), all runnable on CPU/Colab.
It’s meant as a learning & experimentation lab for anyone who wants to see how LLM systems actually work under the hood.
Happy to answer questions or add modules people request.

value: Show HN: LLM-Infra-Lab – A minimal, reproducible lab for LLM systems

author: Sai-HN


value: OndrejValenta

value:
I built a searchable database of Microsoft's FluentUI System Icons with an MCP server so you can search icons directly from Claude. I just can stand that these icon catalogs are hostile to us, developers.
It supports fuzzy search with synonyms, platform-specific generators for iOS/Android/React/Svelte + a custom generator for specific needs, and a JSON/text API for search.
Auto-syncs daily with Microsoft's repo.
Live: https://fluentui-icons.keenmate.dev
MCP: npx @keenmate/fluentui-icons-mcp
Give it a try, I use it for my current development and so far it works pretty good.

value: Show HN: FluentUI Icons – Search 6k+ Microsoft Icons with MCP Support for Claude

author: OndrejValenta


value: WebCreator

value:
Hi HN!
I built ToolDexo - a collection of 29 free online tools because I was tired of websites that force you to sign up just to use a calculator or word counter.
What's included:
- Calculators: BMI, calorie, mortgage, loan, tax, grade, tip, percentage, age, compound interest
- Converters: Currency (36 currencies with live rates), unit, timezone, file size
- Generators: Password, QR code, favicon, color picker, Lorem Ipsum, random number
- Text tools: Word counter, case converter, character counter, text compare, Markdown editor
- Dev tools: JSON formatter, Base64 encoder/decoder
Tech stack:
- Pure vanilla JavaScript (no frameworks)
- All processing done client-side
- Hosted on Vercel
- 100/100 Lighthouse score
- Works offline after first load
Design philosophy:
- Zero signup required
- No paywalls or premium tiers
- No data collection or tracking
- All tools work instantly
- Mobile-friendly
I built this over the past few weeks as a side project. The favicon generator was just added based on my own need for one.
Would love feedback from the HN community on:
- Which tools are most/least useful
- What tools to add next
- UI/UX improvements
- Any bugs you find
Link: https://tooldexo.com
Happy to answer any questions!

value: Show HN: ToolDexo – 29 free online tools (calculator, converter, generator)

author: WebCreator


value: rothblatt

value:
Hi HN! I’m Elias, cofounder of Treasury. We built a remote MCP server that you can connect to AI Assistants. This lets you go right from doing investment research in the assistant to placing the orders. We call this product Dialog.
Dialog is commission free, we charge no investment management fee, and you can give it a try at https://dialog.treasury.app.
(Currently ChatGPT and Claude require you to have a paid account to connect external connectors.)
We’ve found this particularly interesting on the ChatGPT and Claude mobile apps; the simplicity of chat + the power of the AI models let’s you do things that would be quite slow otherwise (e.g., “Help me build a portfolio to invest in Treasury that is 70% long-term diversified index funds, 20% exposure to the prices of Water and Gold appreciating, and 10% in three high-potential AI Stocks. Once we’ve agreed on the investments, invest $1,000 a month.”)
Our vision for Dialog is to build a complete investing app with the AI Assistant as the interface and the ‘brain.’ If AI Assistants become the new dominant user interface, Dialog is an example of how investing could work.
Blog with more info: https://open.substack.com/pub/treasuryinteractive/p/invest-f...

value: Show HN: Invest in ETFs and Stocks from Inside ChatGPT and Claude

author: rothblatt


value:
Hey HN,
I’m a solo dev and former Uber driver, and I made a voice assistant so I can control my Google Calendar entirely by voice.
Siri works for very simple “create event” requests, but it often misunderstands my accent, puts events at the wrong time, and there’s no easy way to revert. I also didn’t want a heavy “AI calendar” app that tries to rearrange my whole schedule. So I used OpenAI’s Agents SDK with the Google Calendar API and let it read / create / edit / delete events directly.
Once you sign in and connect Google, it operates on your calendar.
Example commands:
- “Schedule Lunch with Sarah tomorrow at 1 pm.”
- “Move my 1 pm lunch with Sarah to Saturday, same time.”
- “Delete my lunch with Sarah on Saturday at 1pm.”
- “What do I have Friday afternoon?”
- "Revert the last change."
I’d love feedback on where it misunderstands commands, fails to execute what you meant, or does something surprising.
Rostyslav

value: Show HN: Talk to your Google Calendar (read/create/edit/delete events by voice)


value: keepamovin

value: Show HN: I'm Working on a New Langauge

author: keepamovin

title: Show HN: I'm Working on a New Langauge


value: Show HN: SpotifyRoast – Get Roasted on Your Music Taste


value: Show HN: Is Friendly AI an Attractor? Self-Reports from 22 Models Say No


value: pingananth

value:
I wanted my 5 year old to get into a reading habit.
She is currently reading CVC words.
Books were either too big - either she couldn't sit for long or the text wasn't in her levels ( except the bob series ). One day, she was asked to recite headlines in her school and I wrote something a simple headline in her notebook with emoji's and I saw her eyes light up and eager to decode what it is.
That's how this was born. Originally as Positive news for kids but I quickly understood 90% of parents do not want their kids this early to know NEWS. So, I turned to the reading practice.<p>Using Gemini 3 Pro to source and make it simple. And then I do a final simplification and choose the right emoji's. Currently focussed on India but would love to see if this clicks for other regions as well.

value: Show HN: MyMiniPaper – Create Reading Habit for Kids 4-7yrs in 5 mins

author: pingananth


value: nokodo

value:
I built a fullstack monorepo template for my own projects and figured I'd share it, as it might be useful to someone - plus I think it's really nice :)
stack:
backend: fastapi + sqlalchemy + postgres + alembic
frontend: svelte 5 + tailwind 4
type safety: openapi-typescript (backend schema auto-generates frontend types)
deploy: docker (multi-stage builds with nginx) + github actions
also has VSCode tasks/debugger configs and a full CI/CD setup with dev/stable promotion workflow. and premade AI instructions.
it's production-ready but minimal - no business logic, just the infrastructure setup I got tired of rebuilding every time.
github: nokodo-labs/monorepo-template
open to suggestions if anyone sees something that could be better!

value: Show HN: Production-ready fullstack monorepo template (Svelte 5 and FastAPI)

author: nokodo


value: matzehuels

value:
I finally got tired of XKCD #2347 living rent-free in my head, so I built Stacktower: a tool that takes any real package’s dependency graph and turns it into an actual tower of bricks. Along the way I had to wrestle some surprisingly spicy problems.
Full blog post here: https://stacktower.io
The result is half visualization tool, half love letter to the chaos of modern dependency trees. Open-source, works with PyPI, Cargo, npm, and more.
Code: https://github.com/matzehuels/stacktower

value: Show HN: Xkcd #2347 lived in my head, so I built the dependency tower for real

author: matzehuels


value: nktsg

value: Show HN: Usevoiceai – A TypeScript toolkit for ambitious voice AI apps

author: nktsg


value: crigout

value: Show HN: Aliasto.com – Golinks, Locally

author: crigout

title: Show HN: Aliasto.com – Golinks, Locally


value:
Hi HN,
In my spare time I built a small experimental P2P protocol stack in Go called Envelop.
Instead of thinking in terms of “connections” and “streams”, it treats every message as:
a piece of paper (the real payload),
that always travels inside one or more envelopes.
On the outside of an envelope you have DestPeerID, ReturnPeerID, TTL, Flags.
Inside you have either:
the next Envelope (for onion-style nesting), or
the final paper (application payload).
So you can literally do “envelope in envelope in envelope”:
C gets the innermost envelope and sees the paper.
B only sees “an envelope to C”.
A only sees “an envelope to B”.
If inner layers are encrypted, A and B never see the paper; they just see:
“this layer is for me”
“next recipient is X”
“these are my flags/TTL”.
The stack looks like:
QUIC → Frame v2 → Envelope v2 → Router → Strategy → Socket → Host
Each QUIC stream carries one Frame; each Frame carries one Envelope.
Strategy: where the fun is
All “how to deliver” behavior lives behind a Strategy interface.
The built-in SimpleStrategy is just a single-layer demo. You can plug in your own strategy to turn Envelop into:
an I2P-style onion/garlic router (multi-layer envelopes, per-hop keys),
a private invite-only mesh with custom trust/delivery rules,
or any weird store-and-forward / delay / mixing scheme you want to experiment with.
The core stack doesn’t change – it still just sees envelopes and peer IDs.
Code (AGPLv3, Go) is here:
https://github.com/DarkMagier/envelop
There is both an English and a Chinese README. The code is heavily commented and meant more as an experimental protocol skeleton / learning resource than a production library.

value: Show HN: Envelop – A P2P protocol stack treats messages as paper in envelope


value: Show HN: AI Loft – Sora 2, Nano Banana 2, Flux in One Creative Platform


value: saretup

value: Heat Cue is a mini game where you have to guess a hidden word and AI gives you feedback on how close your guess is to the target word. An LLM based semantic distance system is used to generate the score and a hint is given to nudge the player in the right direction. New Word Daily!

value: Show HN: Heat Cue – Multilingual, LLM-powered reverse dictionary game

author: saretup


value: mengchengfeng

value:
I was doing infra stuff and got sick of going to a website and needing to click to copy my public IP.
So I made a website that copies your public facing IP to clipboard on desktop as soon as the page loads. The first time you visit you'll need to grant the page permission to copy. If it managed to successfully copy you'll see the "Copied!" text instead of the copy button.
You can also click to copy.

value: Show HN: Copy-ip.com – Go to copy your public IP to clipboard

author: mengchengfeng


value: nighwatch

value:
About two weeks ago I built a small text-comparison tool as a simple front-end project. Recently I ran into another annoyance: converting CSV/Excel/JSON with tools that upload files to servers, feel slow, or impose limits. Since I prefer privacy-first tools, I built this one as well.
100% local: All parsing and conversion run in Web Workers. No uploads.
Format support: CSV ↔ Excel (.xlsx), JSON, SQL, XML, Markdown.
Smart column restoration: Fixes copied tables that collapse into a single column (enable under “More Options”).
No size limits: Only limited by your RAM.
My goal is to grow this into a small, one-stop CSV/format toolbox. It just launched, so there may be rough edges — feedback is welcome.
Tech
Next.js, Tailwind, SheetJS, Web Workers, i18next.
Looking for feedback
Try it with your odd CSVs: unusual delimiters, quoted newlines, mixed encodings, huge files, broken pasted tables.
Also curious whether the column-restoration feature feels intuitive.
Thanks for checking it out!

value: Show HN: CSVtoAny, CSV Local File Converter

author: nighwatch


value: frustracean

value:
My in-laws were asking my wife and I what our kids wanted for Christmas. I wanted to be able to share ideas for gifts without worrying about different family members buying the same gift, or dealing with coordinating "you get them this, _you_ get them that, etc".
So I built a free, simple, occasion-agnostic gift registry. Sign is not required to get started, just for sharing.
Let me know what you think.

value: Show HN: Giftl – A simple, free gift registry

author: frustracean


value: teugent

value:
We’ve released an open benchmark plan for the SIGMA Runtime (v0.1 ERI) — a minimal 800-line runtime architecture implementing attractor-based cognition for large language models.
The benchmark defines reproducible tests for:
- Token efficiency
- Coherence stability
- Latency
- Drift control
It compares a baseline looping agent vs. the SIGMA runtime loop:
`context → _generate() → output → drift/stability/memory update → causal continuity → context rebuild`.
The goal is to make runtime efficiency and coherence retention measurable and independently verifiable across model providers and agent frameworks.
Independent replication and external validation are encouraged.
If you run long-context or autonomous LLMs, please share your benchmark results or insights.

value: Show HN: Sigma Runtime ERI (v0.1) – Open benchmark for attractor-based LLMs

author: teugent


value: miguelboka

value:
I'm a freelance developer who got tired of switching between time-tracking apps, spreadsheets, and invoicing tools. I built Tracksy because I just needed something simple: start timer → log hours → export PDF → send to client.
I’ve been using it daily and recently added:
responsive UI
invoice templates
analytics
watermark removal
feedback system
interactive demo
Would love feedback from the HN community.
Demo: https://app.arcade.software/share/ipJQTkzCnEgNaXaHCS3z

value: Show HN: Tracksy – a minimalist time-tracking tool I built for my freelance work

author: miguelboka


value: Show HN: StructOpt – new adaptive first-order optimization method


value: mohyware

value:
In my country, there are harsh limits on internet quotas, so I wanted a system that shows exactly where my bandwidth goes. That’s why I built Packet Meter a system that tracks network traffic usage across all connected devices.
It’s lightweight, easy to self-host (uses SQLite for example).<p>I was also planning to add more features, such as device-level firewall controls, quota limits, a cloud service so you don’t have to self-host and more, but I’ll see if people are interested and where it goes from there. Since Packet Meter connects to all devices on the network, I can use this to achieve even more things.

value: Show HN: Cross-platform network monitoring system

author: mohyware


value: mnalli

value: Show HN: Fuzzy Filter Bash Completions

author: mnalli

title: Show HN: Fuzzy Filter Bash Completions


value: reconnecting

value: Show HN: Open security analytics for your product

author: reconnecting


value: amawi

value: Love seeing all the github wrapped projects from the community, here's my take on it.

value: Show HN: Gihtub Wrapped 2025

author: amawi

title: Show HN: Gihtub Wrapped 2025


value:
At Laminar (https://github.com/lmnr-ai/lmnr) we're building open source AI observability platform in Rust.
We obsess over instrumentation DX for our Python and TS SDKs and in this new blog we outline how we made the most seamless way of instrumenting recently released claude agent sdk

value: Show HN: We instrumented Claude Agent SDK using a tiny Rust proxy


value: eigen-vector

value: Show HN: AQUA – model agnostic lightweight command line agent coordinator

author: eigen-vector


value: mburaksayici

value: Show HN: smallevals – Local LLM Evaluation Framework with Tiny 0.6B Models

author: mburaksayici


value:
Two months ago I was laid off due to oil market conditions, so I decided to finally try the path of building my own product.
I’m a web developer and worked for industrial companies for the last 15+ years, but always watched from the sidelines how everybody was building beautiful startups/SAAS websites.
I truly believe that every website today should have an AI chatbot that actually works for the business while they sleep: answer questions, capture leads, and reduce support load. This is something I really feel is useful.
It enables businesses to create and train their AI chatbot using their website and documents, then embed it directly on their site. The chatbot captures leads automatically and has a ticketing system. I know this market is tough, but I'm just trying to capture a small percentage of it, while helping businesses in the process.
Tech stack?: Nextjs with Typescript and Tailwind (love and hate it, but that's for another day), Supabase for database and auth, AWS.
This is the first time I have shipped anything like this solo, so any feedback would be greatly appreciated, and I'm happy to answer any questions.
Thank you again for reading!

value: Show HN: After being laid off from a corporate job I built my first AI Startup


value: BadgerSlayer

value: Just built a new webpage with all converters I could think of that are able to run 100% locally. What do you think of the page, and can you think of anything thats missing?

value: Show HN: ConvertDrop – Privacy-focused file converter in the browser

author: BadgerSlayer


value: slicedbrandy

value: Show HN: LLM Debugging Traces

author: slicedbrandy

title: Show HN: LLM Debugging Traces


value: omoistudio

value: Your new favourite coworkers.

value: Show HN: Odies – Caring, AI Coworkers that live on your screen

author: omoistudio

story_text: Your new favourite coworkers.


value: thimoteelegrand

value: Show HN: Open-Source AI Coding Agent

author: thimoteelegrand

title: Show HN: Open-Source AI Coding Agent


value:
Hi HN,
I’m sharing a small experiment called Letters From The Earth. The idea is simple: instead of presenting climate and environmental data as charts or stats, the system converts daily signals into expressive, first-person prose — “letters” from regions on Earth describing how they feel.
What it does
- There is an interactive globe covering 103 locations worldwide.
- Every day the engine collects signals like temperature, humidity/moisture, wind, air clarity, and anomaly deviations.
- These raw values are normalized, compressed into a feature vector, then passed through a biome-specific, emotionally aware translation layer. Based on that it produces a “letter” written in the voice of the biome (forest, tundra, desert, mangrove, etc). No jargon, no statistics — just sensory, atmospheric narrative.
- On the site you pick a location, read that day’s letter, and if you want compare with the raw data. There are filters by biome type, severity (anomaly), region and date so you can browse previous days and regions.
Why I built it
I believe data does not have to be understood only by analysts. Data has expressive potential. By translating environmental signals into narrative I am exploring whether “data as empathy” can help more people connect with places, climate, and environmental change.
This isn’t a product or a dashboard. It is an experiment in new forms of data expression — emotional, narrative, sensory. And letters are only the first output. The same core could produce poems, ambient soundscapes, symbolic visuals or other formats.
What I would love feedback on
- Does the mapping from raw signal → narrative “mood” feel meaningful or evocative?
- Thoughts on biome modeling, signal normalization, and region-specific voice.
- Ideas for other output modalities beyond prose — audio, ambient sound, visual.
If you’re curious, the link above goes to a live demo. I’d appreciate any comments, questions, or ideas.
Thanks for reading. I’m happy to dive into technical or design-level details if anyone is interested.

value: Show HN: Letters From the Earth – daily climate data turned into narrative


value: Show HN: Gatherwise – A modern operating system for wedding and event planners


value: rishavmitra

value:
Hi HN! We built Zalor. It turns an OpenAPI spec into an MCP server, so you can make your APIs callable by Claude or ChatGPT without writing any code. Here's a list of specs you can try: https://github.com/ZalorAI/test-data/tree/main/openapi, but feel free to use your own.
For background, MCP is a protocol that standardizes how you connect tools to AI assistants. We're both engineers at large software companies, and when we worked on MCP integrations we saw how long setup took and how often the spec was changing. So we built a platform to handle the MCP infrastructure, letting you keep doing normal API work and expose it to AI when you're ready.
Right now we're creating a 1:1 mapping from APIs to MCP tools, but we're working on improving tool discovery so the AI doesn't get overwhelmed by 100 endpoints at the start of every conversation.
Still early. Would love feedback!

value: Show HN: Turn APIs into MCP servers without code

author: rishavmitra


value: philcunliffe

value: I didn't want to create an account on some secret santa website to do a simple secret santa with my friends so I built a stateless, one file web-app to help. It encodes the names and a seed in the URL which you send to all your friends.

value: Show HN: TurboSanta – Stateless secret Santa generator

author: philcunliffe


value: raunakchowdhuri

value: Show HN: A SOTA chart-extraction system combining traditional CV and LVMs

author: raunakchowdhuri


value: marvinai

value:
We’ve spent years working at large game studios, and one thing we saw repeatedly is how hard it is for a small team—or an individual—to not just build a game, but to run one like a sustainable business. We wanted to make those capabilities accessible to anyone and for anybody to bring their ideas to life.
Marvin works through a set of specialized agents you can talk to directly. You can describe the game you want to build, and the agents collaborate with you on design, mechanics, art, physics, progression systems, and level creation. From there, you can publish the game to different platforms, including the ability to play directly inside an X feed.
The goal isn’t only to help you create a game, but to give you the full operating stack that real studios use: content pipelines, iteration loops, live ops, and eventually monetization, analytics, and retention tools. In other words, not just “game creation” but “game operations,” end-to-end.
It’s still early, and we’re adding new agents and systems weekly. Next up are live operations and monetization tools.
We’d love feedback on anything—how Marvin responds to your chats, how the art assets integrate, whether mechanics feel coherent, or any rough edges you hit.
You can try it here: marvin.hyve.gg/?r=hn
Let us know what you think.
Thank you for your time and support,
Marvin

value: Show HN: Marvin, your own AI-powered game studio

author: marvinai


value: Enjoyooor

value:
Hey,
My name is Benjamin and as many developers, I was tired to not succeed my technical interviews, for any reasons.
We made SharpSkill.fr in order to change that.
Real Use Case, flashcards & interview simulators.
One goal : Destroy the next technical interviews.
Languages available : Front & Back JS (Node - React & frameworks) ; SpringBoot ; Android / iOS Native.
Share us your feedback, please. We need it.

value: Show HN: I made a SaaS to crush technical interviews

author: Enjoyooor


value: rallies

value: Show HN: We gave LLMs money to invest in the market

author: rallies


value: fasthightimess

value:
Absolute Gem. First find.
Vibe coding tool for wordpress plugins. WP sites rank better then Replit and Lovable sites. It hasn't changed. Google likes WP sites better.
It's a great tool. It outputs a complete plugin: PHP files, admin pages, hooks, JS, folder structure, all wrapped into a ZIP.
Also has testing and frontend preview.
YC founders are on a tear. But lower the price to 5$ per month.

value: Show HN: Steem.dev – Vibe code and generate full WordPress plugins

author: fasthightimess


value: productiongrad

value: Show HN: When TOON isnt enough, you need to GOON

author: productiongrad


value: mikkoim

value:
Hi HN,
I have built a small CLI tool for extracting image feature vectors for images, videos and image folders. I work in an application area where people who are not deep learning experts are interested in working with image data and foundation models, but are perhaps not familiar with python and would rather analyze embeddings in R or other software. Dinotool makes this possible, producing both local and global vector embeddings and outputs them in parquet files, making it possible to process large amounts of images or videos quite easily.
The tool and API is still in a phase where I would like to improve it further, and any feedback is welcome, especially suggestions for additional backbone models.

value: Show HN: Dinotool – a foundation model vector embedding CLI

author: mikkoim


value: smithclay

value:
Side project: exploring storing and querying OpenTelemetry data with duckdb, open table formats, and cheap object storage with some rust glue code.
Yesterday, AWS made this exact sort of data architecture lot easier with new CloudWatch features: https://aws.amazon.com/blogs/aws/amazon-cloudwatch-introduce...

value: Show HN: Cheap OpenTelemetry lakehouses with Parquet, DuckDB, and Iceberg

author: smithclay


value: Strikeh

value: Show HN:I built an AI Workspace to organize ChatGPT, Claude & Grok conversations

author: Strikeh


value: karanzkk

value:
Hello Everyone,
My name is Karan, and I'm a Frontend Developer, but I feel like I'm more of a Design Engineer because of my love for creating UIs
When I started my development journey, I fell for frontend development and stuck with it ever since
But I noticed that many of my friends hated writing CSS because creating UIs is a very tedious and time-consuming process, and you have to be pixel-perfect
But at the same time, they also wanted their project to look premium with beautiful animations and a world-class user experience
That's when I thought
"What if anyone could integrate beautiful animated components into their website regardless of their CSS skills?"
And after six months of pain and restless nights, I finally built ogBlocks to solve this problem.
It is an Animated UI Library for React that contains all the cool animations that will make it look premium and production-grade
ogBlocks has navbars, modals, buttons, feature sections, text animations, carousels, and much more.
I hope you'll love it
Best
Karan

value: Show HN: I Built an UI Library that lets you create beautiful UIs in Minutes

author: karanzkk


value:
A built a small WhatsApp bridge to keep track of claude code projects as they run on my laptop.
There is an experimental permission hook to allow proxying of permission requests via the WhatsApp bridge.
All messages are sent via a personal channel.

value: Show HN: Claude-ping – a WhatsApp bridge for Claude Code


value: dragssine

value:
Hey HN, I'm the builder.<p>I built this because most feedback tools treat integrations as an afterthought (one-way push). I wanted deep 2-way sync with Linear and Jira without paying enterprise SaaS prices ($100+/mo).
The Stack:
Next.js 14 (App Router)
Supabase (Postgres + Auth)
Cloudflare for SaaS (handling custom domains/SSL for users)
The Hardest Technical Challenge:
Handling the 'Infinite Loop' problem with 2-way syncs.
If you update Linear -> it triggers a webhook -> updates Feedvote -> which triggers a webhook -> updates Linear.
I had to build a specific idempotency layer to handle race conditions and prevent webhook loops while ensuring the public roadmap stays instantly updated.
It's a Lifetime Deal ($149) right now because I'm bootstrapping and hate subscriptions.
Happy to answer questions about the Next.js/Supabase architecture."

value: Show HN: Feedvote – A feedback board with deep 2-way Linear/Jira sync

author: dragssine


value: madsmadsdk

value:
just rolled out the closed beta today, and 15 people already signed up.
i started building this thing 13 days ago, and had 96 waitlist signups so far.
new batch of invite codes rolling out soon.
come and join in on the fun :)

value: Show HN: ~$ root-dir closed beta is live – a command-line community for devs

author: madsmadsdk


value: rmatteson

value: Show HN: The Turboconfabulator – LLM Turboencabulator Parody [video]

author: rmatteson


value: kyub

value:
I built NthLayer because I was tired of the manual effort every time a new
service onboards - copying dashboard JSON, writing alert rules, setting up
PagerDuty, defining SLOs. 20 hours of work per service.
Define your service once:

    name: payment-api
    tier: critical
    type: api
    dependencies:
      - postgresql
      - redis
    slos:
      availability: 99.95
      latency_p99_ms: 200

Get automatically:
- Grafana dashboards (12-28 panels based on dependencies)
- Prometheus alerts (400+ battle-tested rules)
- SLO definitions with error budgets
- PagerDuty teams, escalation policies, services
- Recording rules for performance
Plus: See reliability health across all your services:

    $ nthlayer portfolio
    Overall Health: 78% (14/18 SLOs meeting target)
    Critical: 5/6 healthy
    ! payment-api needs reliability investment

Works with your existing tools - generates configs for Grafana, Prometheus,
PagerDuty. No vendor lock-in.
Live demo: https://rsionnach.github.io/nthlayer
GitHub: https://github.com/rsionnach/nthlayer
Install: pipx install nthlayer
It's early alpha - looking for SRE teams to try it. What reliability toil
would you automate first?

value: Show HN: NthLayer – Generate your complete reliability stack from one YAML file

author: kyub


value: shoyer

value: Show HN: Coordax: Coordinate Axes for Jax

author: shoyer


value: Show HN: Playwright for Windows Computer Use


value: WoolyAI disaggregates GPU compute from CPU and routes GPU operations from ML jobs running on CPU-only infra into a shared heterogeneous GPU pool(Nvidia+AMD), where a GPU hypervisor packs and schedules multiple jobs per GPU for maximum utilization.<p>Trial is now to triple your GPU Utilization in ML Development.

value: Show HN: Disaggregating GPU compute from CPU in ML job execution to scale GPUs


value:
I published a small theoretical project on GitHub and would appreciate feedback from anyone working with real quant models.
RIMC (Recursive Intelligence Market Cycle Hypothesis) is not a trading system or a full asset-pricing model. It’s a hypothesis for treating alpha as structural drift that arises from finite-speed learning and observation delay—rather than as a leftover regression residual. The goal is to write that structure explicitly in equations.
The repo is mostly text with a small sample simulation. Think of it as a dynamical-systems-meets-finance thought experiment.
I’d be interested in reactions such as:
• Does this framing of persistent alpha make sense in practical quant terms?
• Are there existing models/papers that do something similar?
• How does this compare with your experience handling delay or learning effects?
Any feedback—critical or supportive—is welcome.
GitHub: https://github.com/rimc-lab/RIMC

value: Show HN: RIMC – An Alpha-Drift Framework for Finite-Speed Learning Markets


value: ronakkhunt

value:
Hello Hacker News,
We've been quietly working on SimpleURL.tech, a URL shortener built for small businesses and marketers who need reliable branded links and advanced analytics without the typical enterprise pricing.
We found that many shorteners offer decent free tiers but charge excessively for essential marketing features like custom domains and the ability to edit a link's destination after it's been shared.
This puts powerful tools out of reach for small teams.
The Solution We Built:
SimpleURL focuses on delivering the features that directly impact marketing ROI, packaged affordably:
1. The Branded Link Necessity: We make it simple to set up a custom short domain (e.g., go.yourbrand.com). This is crucial for building trust and increasing CTR, as discussed widely in marketing circles.
2. Affordable Feature Set: Our pricing is designed to be accessible. We include features often hidden in expensive tiers, such as unlimited link editing and advanced tracking (location, device, time of click).
3. No-Friction Testing: We believe you should test the full power of a Pro account before paying. We offer a full 15-day Pro trial that requires absolutely no payment method. Just sign up, connect your domain, and start tracking.
Technical Note:On the back-end, we use a robust system centered around 301 redirects and HTTPS security to ensure high speed and link equity transfer.
We are Looking for Feedback:
We’re trying to find the sweet spot between high-end features and small-business pricing.
If you use branded links today, how does our approach to domain setup compare to your current tool?
What are the most critical features that you believe must be included in an entry-level professional plan?
We'd appreciate any constructive feedback on the service or its pricing model.

value: Show HN: SimpleURL – An Affordable URL Shortener with Branded Link and Analytics

author: ronakkhunt


value: olivefu

value:
My teenage daughter loves rock music —  rock, indie rock, emo, anything loud and emotional.
Like a lot of people on TikTok, she enjoys making “favorite album” collages as a way of documenting what she listened to each month.
But a few months ago, she came to me with a very specific complaint:
“Topster doesn’t have the heart-shaped template everyone uses on TikTok.
Why is everything just simple grids?”
I checked, and she was right.
The classic Topster tools haven’t really evolved:
3×3, 4×4, 5×5 grids… and that’s basically it.
No modern templates, no auto-save, exports are low-res, and mobile experience is rough.
So — as any parent who is also an engineer might do — I built what she wanted.
The result is https://favmusic.org
.
What I built
FavMusic is a modern, web-based album collage maker.
All the things we always wished Topster had, I tried to implement:
Modern templates
3×3, 4×4, 5×5 (Topster-style)
Heart 13 template
Heart 15 template (the TikTok one my daughter wanted)
Heart 27 template
More shapes coming soon (stars, circles, “timeline boards”)
Auto-save
Your collage is always saved locally while you build it.
You can add albums slowly, over weeks or months — a feature my daughter really likes.
High-resolution export
No more blurry charts.
Public share pages
Each collage optionally gets a shareable link:
https://favmusic.org/share/xxxxx
Works on desktop and mobile
A lot of users build these on their phones.
Why I’m sharing this on HN
I didn’t intend to turn this into a product.
It started as a small tool built because my daughter wished something existed and I thought:
“This is small enough that I can build it for her.”
But after sharing it with a few friends, I realized a surprising number of people use album collages as a kind of music diary.
It’s a fun little intersection of engineering, music culture, and personal memory.
I’m sharing it here in case anyone’s interested in:
how it’s built (Next.js 14, Tailwind, Supabase, server actions, DOM-to-image)
UI/UX around visual memory tools
ideas for improving it
or if you simply enjoy music and want to create your own end-of-year collage
If you want to try it
https://favmusic.org
Feedback is very welcome — especially on performance, template design, and export quality.
And if you have suggestions for new shapes, I’d love to hear them. My daughter probably will too.

value: Show HN: I Built FavMusic After My Daughter Wanted a Heart Album Template

author: olivefu


value: lanemik

value:
I built a pytest plugin that enforces test size categories (small, medium, large, xlarge) based on Google's "Software Engineering at Google" testing philosophy.
The problem: flaky tests. They erode trust, waste time, and make CI a nightmare.
The solution: enforce hermeticity by category. Small tests can't access the network, filesystem, or databases. Medium tests are limited to localhost. Each size has time limits (1s, 5min, 15min).
When a test violates its constraints, you get an actionable error:

       [TC001] Network Access Violation
    Test: test_api.py::test_fetch_user [SMALL]

    What happened:
        Attempted network connection to api.example.com:443

    To fix this:
      • Mock with responses/httpretty/respx
      • Use dependency injection
      • Change to @pytest.mark.medium

Mocking libraries (responses, pyfakefs) still work - they intercept before the blocking layer.
The goal is maintaining a healthy test pyramid: 80% small, 15% medium, 5% large.
GitHub: https://github.com/mikelane/pytest-test-categories
Docs: https://pytest-test-categories.readthedocs.io
PyPI: https://pypi.org/project/pytest-test-categories/

value: Show HN: Pytest-test-categories Enforce Google's test sizes in Python

author: lanemik


value: simonsarris

value: Show HN: Meetinghouse.cc – a place to find and be found

author: simonsarris


value: elektm

value: Show HN: Flooder – Making Persistent Homology Practical for Industrial Use Cases

author: elektm


value: colinmilhaupt

value:
Hi HN! I built WishKeeper to solve a problem that's been annoying me for years.
Every holiday season, my family would end up in these ridiculous group chat threads trying to coordinate gifts. Someone would ask "what does Mom want?" and then Mom would see the whole conversation. And if we weren't spoiling surprises by coordinating in front of the recipient, we were buying duplicate gifts because nobody would create yet another side chat to ask "did anyone already get this?"
WishKeeper lets you create wish lists and share them with family and friends. The key feature is the claim system: when someone decides to buy you an item, they can claim it so others know it's taken, but you never see who claimed what or even that it was claimed at all. The surprise stays intact. You can also split big purchases. If someone wants a $400 stand mixer, multiple people can chip in allowing family tight on cash to feel like they're contributing without having family members feel like they have to put small items on their list just so everyone can contribute.
I kept it deliberately simple. No social features, no feeds, no ads. Just lists with items, links, prices, and notes. You create a list, share the link, and you're done. No group chat gymnastics required. It's free to use. I built this because I wanted it to exist, not because I had some grand monetization plan. You can sign up and create lists without a credit card.
Would love to hear what you think. What am I missing? What would make this more useful for your family's gift coordination chaos?

value: Show HN: WishKeeper – Gift coordination that keeps the surprise alive

author: colinmilhaupt


value: fatliverfreddy

value: Show HN: Vibe Commander

author: fatliverfreddy

title: Show HN: Vibe Commander


value: cladian

value: Show HN: A fun sustainability marketplace for teams

author: cladian