value: kaushikbokka

value:
The RL ecosystem is maturing— verifiers are standardizing how we build and share environments. However, as it grows, we need observability tooling that actually understands RL primitives.
Running RL experiments without visibility into rollout quality, reward distributions, or failure modes is a waste of time.
Monitor provides live tracking, per-example inspection, and programmatic access—see what's happening during runs and debug what went wrong afterward.

value: Show HN: An open-source, RL-native observability framework we've been missing

author: kaushikbokka


value: txthinking

value: Show HN: Zhi – A Zero-Trust End-to-End Encrypted Messaging App

author: txthinking


value: lukethedev

value:
I’ve been working on something close to my heart called Global Prayer Map.
It’s a simple website where anyone can share a prayer request, and it shows up on a live map so others can pray for them.
Requests can be about healing, peace, family, finances, or anything on your heart.
Why I built it:
To remind people they are not alone
To connect through prayer
To highlight needs in real time around the world
To offer a safe space — we don’t save your location or any personal information
It’s free, open to everyone, and I hope it can be a small light in a world that often feels heavy.
I’d love to hear your thoughts.

value: Show HN: Praying Map

author: lukethedev

title: Show HN: Praying Map


value: mnm

value:
Any initial thoughts?
This framework is meant to be a tool for construction, so if you want to play around with it for creating potential specific implementations, you can drop the contents of the website, the GitHub README, and the entire overview.md into an AI chat, and that should be enough to use the framework, at least conceptually.
Would y'all want me to pre-prime a chat in Google AI Studio with the full context of the plan and some basic direction for discourse? I can share a link to a ready-to-go environment.
The core documentation should answer most mechanical questions. And if you feed the docs into an AI chat, you can ask it any question you may have, or to simply ask it to explain something in different ways, or hypothesize solutions to any world issue, either systemic or regional.
Gemini Pro 2.5 can take the full doc in one prompt, and its ability to co-create ideas is remarkable. I've been using it mostly through the AI Studio interface. Much of the overview is as much my work as it is a synthesis of my collaboration with Gemini Pro 2.5, ChatGPT-4o, and some early contributions from GPT-4 about a year ago.
Before LLMs, I was building out pamphlet-style pages on a website (that are up at whomanatee.org, which is the base wrapper implementation of the framework), and I was planning to use them as talking points. I was anticipating that much of the deep thinking would have to happen in slow, public discourse. With LLMs, I've been able to stress-test these ideas from every possible angle, using any past event or theory to see if the framework could withstand scrutiny.
At one point, a model argued that Adam Smith would have rejected this idea as fantasy. So I worked with it to develop an economic plan that "synthetic Adam" praised. It's incredible that we now have the ability to get synthesized thoughts from almost any perspective. You could ask it, "What would Barack Obama think of this plan? And using the framework, what would be your response to any hesitations he may have?" And it responds with incredible analysis, synthesis, and feedback.

value: Show HN: World Amazing Framework: Like Django for Civilization

author: mnm


value: joesuh

value:
I made a chatbot-based search engine that does agentic RAG using the Youtube channels, websites, and google reviews of all churches in Boulder, CO
I tried a couple different approaches to this, but the one I'm currently liking is a MapReduce approach that takes a query, does some pre-filtering, and maps it to the individual vector databases of all the churches. Then the Reduce step synthesizes the individual church results to return the response to a user
For example, if you ask it "LQBTQ-friendly church" it will loop through asking all the individual churches the question "Are you LGBTQ-friendly?" and then return a consolidated response from the individual responses. Latency on TTFT is about 6-7 seconds currently
Another approach we took was using Mixture of Experts. In this case, we have 3 separate retrievals - one for sermons, one for website content, and one for google reviews. And then mix the results together to respond. This MoE approach is very slow right now and I'm trying to speed it up. But you can play with it as well https://pastors.ai/churches/boulder?mode=moe
I know the HN audience isn't made up of churchgoers, but I hope HN appreciates the AI engineering behind this project. There's a bunch of reranking, query rewriting, etc behind the scenes for the different approaches. It's a hackathon project that's WIP, so I'm still working on polishing it. Happy to answer any questions or hear technical suggestions/feedback!

value: Show HN: Churches in Boulder – search tool using agentic retrieval

author: joesuh


value: maxprehoda

value:
Hey HN, I've been building Spore to help businesses understand and improve how they appear in AI-generated responses.
Here is what it does:
Monitors when and how your brand appears across AI platforms (ChatGPT, Claude, Gemini, etc.)
Alerts you to mentions on social media and review platforms (Reddit, Instagram, TikTok, Youtube, X, Yelp, Google Reviews, and 12 more) so you can engage in those conversations organically (or send some bots to take care of it).
Helps generate relevant content that AI data crawlers are more likely to reference.
Automates SEO fundamentals like article creation and backlink building
Why I built this:
There's obviously a new space opening up for manipulating AI services to "advertise" your brand as much as you can. I noticed businesses have no visibility into what AI systems say about them, and no systematic way to improve their AI presence.
The platform focuses on legitimate content creation and organic engagement (we do provide a lot of automation as well) - helping businesses create the kind of authoritative, well-structured content that AI systems naturally reference when answering user queries.
Current status:
Basic monitoring across major AI platforms
Auto-generate SEO-optimized articles and content
Dashboard for tracking mention frequency and context
API for integration with existing marketing tools
It's early days and I'm looking for feedback on what metrics matter most to businesses trying to understand their AI presence. What would you want to track if you were monitoring your company's appearances in AI responses?
Happy to answer questions about the technical approach or discuss the challenges of tracking AI mentions at scale.

value: Show HN: I Started the New SEO

author: maxprehoda

title: Show HN: I Started the New SEO


value: buraste

value:
I spent 3 years analyzing app store data and noticed everyone tracks the wrong metric. Downloads don't matter if users don't pay.
So I built TrendApps to expose what actually matters: -revenue per user-.
The problem:
A meditation app with 3K users making $27K/month is more valuable than a social app with 300K users making $3K. But you'd never know this from current analytics tools.
What it does:
- Estimates revenue using category rankings, download data, and market patterns
- Calculates RPD (Revenue Per Download) for 15K+ apps
- Filters by age (90-365 days), competition level, and category
- Shows apps making real money with minimal users
Recent findings:
- Flight tracker with 79 reviews: $40K/month
- Reference app with 30K downloads: $80K/month
- Zombie game from Hong Kong: $22 per user
The free tier analyzes 10 apps, Pro is $9.99/month for unlimited access + CSV exports.
Why I built this: Got tired of building apps nobody wanted. Now I find proven demand first, then build. My last three apps all hit profitability using this approach.
Link: https://trendapps.dev
Happy to answer questions.

value: Show HN: Built a tool exposing mobile apps' best-kept secret – revenue per user

author: buraste


value: unbehagen

value:
Why vibe code a POC to test your idea when you can have an LLM-based web server pretend to be that web app - and just output the HTML your visionary backend would produce?
Each request to the web server only retains the last generated HTML, the path, and any URL parameters passed to it. It is forgetful by design.
On page access, it instructs the LLM to generate the next page based on this information and a description of your desired app. The latency is much higher, but you can quickly iterate on ideas.
Obviously, this is more of a thought experiment, but I find it pretty interesting to play around with. Vibe-coded in a couple of hours. Any feedback welcome!

value: Show HN: Serve LLM – Spin up a hallucinated web app from a single prompt

author: unbehagen


value:
Hi HN
I recently ran into a common issue with AI-generated videos — dynamic watermarks that move across frames.
Instead of manually editing them out, I decided to experiment with AI-based cleanup and wrote a small tool called *Sora2 Video Cleaner*.
It uses frame-level detection and temporal consistency to automatically identify and smooth out watermark regions, restoring a cleaner video output.
The goal isn’t to “crack” anything proprietary, but to help creators improve their visuals and repurpose their content more cleanly.
Try it here: [https://sora2video.us](https://sora2video.us)
Would love feedback from the community — especially around:
- Efficient ways to handle temporal noise in video cleanup
- Integrating real-time processing in web pipelines
Built with Python + OpenCV + some lightweight diffusion-based filters.
Happy to share more details if anyone’s curious!

value: Show HN: I tried to remove dynamic watermarks from Sora2 videos using AI


value: lymanli

value: I recently built a handy online pixel art downscaler that runs entirely in your browser — no installation needed. It automatically detects the upscaling factor of an image and intelligently restores pixel art to its original size while keeping edges sharp and colors accurate.<p>Unlike standard resizers, this tool uses nearest-neighbor scaling to precisely preserve each pixel’s shape and color.

value: Show HN: I built an online pixel art downscaler

author: lymanli


value: jamescampbell

value: Read and write PNG text chunks, XMP, and metadata with ease. Follows the same pattern as iptcinfo3 that I also maintain.

value: Show HN: Pngmeta – a Python library to edit metadata in PNGs

author: jamescampbell


value: ivanglpz

value:
I’ve built Pixel Kit, a browser-based tool for designing mobile and web user interfaces.
Free registration is required to save, edit, and share projects safely during the beta launch.
Technical Details:
Uses Jotai to manage a dynamic atomic state, enabling creation and modification of elements without rewriting the entire state.
Each UI element has its own atom, minimizing unnecessary state reconstructions.
Undo/redo system built on top of a Jotai store captures selected elements without triggering extra renders.
Layout system is also built in Jotai, outside of the render process. This allows elements to adapt responsively with minimal computational cost inside the canvas.
Rendering handled by React Konva on an HTML5 canvas for efficient, reactive drawing of interface components.
Tech stack: React, Next.js, MongoDB, Jotai, React Konva.
Feedback Requested:
Looking for feedback on performance, UX, and data model structure.
Link: https://pixel-kit.vercel.app/signup

value: Show HN: Pixel Kit – Build Mobile and Web Interfaces Visually

author: ivanglpz


value: catnose

value:
Hi HN,
I made Nani!?, an AI-powered translator that not only translates your text but also teaches you better ways to say things as you go.
I started this as a small personal tool, then spent over six months rebuilding and polishing it into a product others can use.
Unlike DeepL or Google Translate, which give you a single, fixed translation, Nani!? tries to teach you as it translates. It might say things like "Here’s another way to say that" or "This would sound more natural in a casual chat."
My goal was to make a translator that feels more like a friendly teacher than a black box.
You can ask ChatGPT to do similar things, but I found it a bit tedious to keep typing prompts, copying text, playing pronunciations, or switching models for every translation.
(Usually I just want a quick, natural answer without "Thinking" mode.)
So I built a web app, plus Mac / Windows versions you can trigger instantly with a shortcut.
The name Nani!? comes from the Japanese word なに!? ("What!?"), which has been getting more familiar overseas through anime and manga. I’m Japanese, love manga, and even draw as a hobby, so the name felt like a fun fit.
If you ever need translations (and want to learn a bit along the way), I’d love for you to give it a try and share your feedback.

value: Show HN: Nani? – AI translator that teaches you while translating

author: catnose


value: therepanic

value: Show HN: I Built a Tool to Sync Spotify "Now Playing" to Telegram

author: therepanic


value: mingtianzhang

value: We’re building an MCP that lets you chat with long PDFs (e.g. textbooks with hundreds of pages) on platforms like Claude, Cursor, and other AI agents — without worrying about context limits.

value: Show HN: Long PDF Reader MCP

author: mingtianzhang

title: Show HN: Long PDF Reader MCP


value: techyquantum

value:
I wrote a detailed analysis of how OpenAI is expanding its infrastructure globally, securing funding, and forging partnerships with chipmakers in Asia & the Middle East.
https://techyquantum.com/openai-infrastructure-expansion-glo...
Would love feedback on the technical & strategic aspects.

value: Show HN: OpenAI plans global data center expansion

author: techyquantum


value: cobbzilla

value: Show HN: Zilla-Script – Declarative REST API Testing Framework

author: cobbzilla


value: FailMore

value: Show HN: salesfeed.xyz – Track everything about your sales targets

author: FailMore


value: koebs

value: Feedback welcome :)

value: Show HN: Milo – agentic GenBI (What –> Why –> Done in minutes, not days)

author: koebs

story_text: Feedback welcome :)


value: Show HN: JSON-driven REST test framework, built-in session and state management


value: kuzej

value:
I built a small site to make copying AI prompts painless: a curated library you can browse by tags and “Hot Trends,” with one-click Copy and Share on each prompt. No account required.
What’s inside:
* Curated prompts from a public GitHub-sourced collection plus community submissions.
* Tags/collections to scan fast; “Most copied this week” to surface what people actually use.
* One-click Copy and short share links for teammates.
* A simple “Suggest a prompt” to contribute back.
I’d love feedback from HN:
* Is the tag taxonomy/search sensible? What’s missing or noisy?
* What would make this more useful to you (API, browser extension, better trend signals)?
* If you spot low-quality or infringing prompts, tell me and I’ll remove them quickly.
Link: [https://aipromptcopy.org](https://aipromptcopy.org)
Happy to answer questions and share details.

value: Show HN: AI Prompt Copy – curated, one-click prompts (no login)

author: kuzej


value: tchantchov

value:
Hey HN!
I'm a frontend engineer who built TextHerRight after watching too many friends (and myself) stare at blank message screens, paralyzed by the cursor. You know that moment – your girlfriend asks "How was your day?" and somehow your brain just... stops.
The Problem: We've all been there. You want to respond thoughtfully but draw a blank, you overthink or you send the wrong message. The "seen" notification starts feeling like a countdown timer, and suddenly texting becomes stressful instead of connecting.
What I Built: TextHerRight analyzes your conversation context and suggests natural, authentic responses that match your communication style. You paste your conversation thread, and the AI gives you 2-3 response options that actually sound like something you'd say – not some generic chatbot.
What Makes It Different: Unlike dating app assistants that focus on pickup lines, this is for actual relationships. It learns your communication style from context and suggests responses that help maintain genuine connection, not manipulation.
Current Status: Live at https://textherright.base44.app - completely free to try. I'm curious if you guys find this helpful. Honestly, I've using it almost every day now in my own relationship to be honest
I'd love feedback from the HN community – I didn't found anything similar so far and I would love to know if you have any idea to make this even better
Thanks for checking it out!

value: Show HN: TextHerRight, AI for perfect relationship text replies

author: tchantchov


value: DarenWatson

value: I’ve been trying out Dropstone, a new IDE with a self-learning AI that actually adapts to how you code. Unlike Cursor or Claude, it runs locally, has no token limits, and gets better the more you use it. What impressed me is that it learns from your edits and naming patterns while keeping everything private on your own system. It even explains its reasoning for every suggestion and has quick undo and fallback options that keep you in flow. It genuinely feels like coding with an assistant that remembers you.

value: Show HN: Dropstone – A Self-Learning AI IDE That Improves with Your Workflow

author: DarenWatson


value: byx

value:
ImplicitPlotter is a command-line tool that can plot graph of any binary implicit function equation or inequality, supporting both Cartesian and polar coordinates.
The plotting algorithm is based on interval arithmetic.
Related paper link: https://www.dgp.toronto.edu/public_user/mooncake/papers/SIGG...

value: Show HN: ImplicitPlotter – Plot graph of any binary implicit function

author: byx


value: alexboehm

value:
I've loved the ergonomics of using tarpc for Rust projects, but I wanted a higher performance RPC library that could take advantage of bitcode's serialization speed and size https://david.kolo.ski/rust_serialization_benchmark/, that didn't depend on Tokio.
The problem with Tokio is it still doesn't have proper support for io_uring, and maybe never will due to its work stealing runtime. As such, I implemented a transport using HTTP 3 on Compio, a  thread per core async runtime with great io_uring performance, HTTP3 support.

value: Show HN: Bitrpc – a Rust RPC library using bitcode, HTTP3, and io_uring

author: alexboehm


value: nawedx

value: Show HN: Spaced repetition CLI for DSA interview prep

author: nawedx


value:
I built MetricsWave as an open-source alternative to Google Analytics.
It’s a self-hosted platform where you own all your data — no tracking scripts, no vendor lock-in, no sending usage data to Google.
The backend (Laravel) handles custom metrics, counters, tags, alerts, and an API for ingestion.
The frontend (React) provides real-time dashboards and visualizations.
Everything is open, extensible, and designed to be run on your own infrastructure.
Right now it supports event ingestion, dashboards, team roles, and alerting.
Would love feedback from HN on architecture, missing features, and scaling concerns.
- Backend repo: https://github.com/metricswave/backend
- Frontend repo: https://github.com/metricswave/frontend

value: Show HN: MetricsWave – own your metrics, ditch Google Analytics


value: jsattler

value: I built a Firefox extension to block distracting websites. Similar to LeechBlockNG, but simpler. I wanted something to get started with zero configuration, which was the main reason to build the extension. Let me know if you like it or if there is anything you are missing.

value: Show HN: ZeroDistraction – A Firefox extension that blocks distracting websites

author: jsattler


value: ccheshirecat

value:
Made this initially as part of another project but pivoted to something else and was left with this doing nothing. Other one is way cooler(I'll drop it here too when I'm done)
Custom Nomad task driver that runs Cloud Hypervisor virtual machines natively, fork of the original virt-driver with support for cloud-init, VFIO passthrough, and full resource orchestration.
If you’ve ever wished Nomad could launch real VMs (not just containers) with the same declarative workflow, this closes that gap.
It’s useful for anyone running high-isolation workloads, nested virtualization, or GPU-bound compute pipelines inside Nomad clusters. It's still got some rough edges but usable
github.com/volantvm/nomad-driver-ch
Under the hood:
 • Written in Go, implements full TaskDriver interface
 • Supports create/start/stop/destroy lifecycles
 • Cloud-init injection for userdata, networking, SSH
 • VFIO passthrough for direct PCI access
Would love feedback from Nomad operators or Cloud Hypervisor users especially around how you’d use this in your stack.

value: Show HN: Nomad task driver for Cloud Hypervisor

author: ccheshirecat


value: kuberwastaken

value:
being on platforms like Instagram and Twitter for the past few days, I've noticed how many non-technical and mostly old people just assume the video is real despite the watermark Sora 2 generations have.
Think what would happen if there was no watermark? This is the reason that this project exists. It's not to abuse the great initiative by OpenAI to put logos onto every generation (though temporarily there's also an easy way to bypass that which I wouldn't cover), it's to hopefully encourage them to be harsher and more obvious with it in some form.
Sweeta is an AI-powered watermark removal tool specifically designed for SORA 2 video generations. It Uses advanced inpainting models (LaMA) and intelligent detection algorithms, it can seamlessly remove watermarks while (mostly) preserving the original image quality.

value: Show HN: I made an OSS tool to remove Sora 2 Watermark in less than 72h released

author: kuberwastaken


value: viraptor

value: Show HN: SVG but Dramatic

author: viraptor

title: Show HN: SVG but Dramatic


value: FloatAIMsging

value:
Claude Imagine generates software dynamically - no predetermined code, just adapts to what you need. That made me ask: why doesn't Slack work this way?
Slack forces predetermined channels. You join #marketing, now you get pinged about everything from brand strategy to pizza parties. The structure is static, your work context changes constantly.
THE PROBLEM:
I was drowning in 50+ channels, checking Slack 60+ times daily. Tracked my time: 2.5 hours/day just PROCESSING messages, not working.
WHAT I BUILT:
Float applies the "Claude Imagine philosophy" to Slack:
- AI creates dynamic inboxes based on YOUR workflow (not predetermined channels)
- "Customer Fires" surfaces urgent threads across all channels
- "Deep Work FYIs" batches non-urgent updates
- Keyboard-first: every action <2 keystrokes
HARDEST PART:
Training ML to understand context, not keywords. Early version grouped "customer churn" with "ice cream churn." Ended up training on 500+ Slack workspaces to learn real urgency patterns:
- "@channel" in #general at 11pm ≠ urgent
- "@channel" in #incidents at 11pm = wake everyone
- Message hierarchy + temporal context = Claude-level reasoning for notifications
TRY IT: https://website.float-chat.com/
Process 50 channels in 10 minutes instead of 2 hours.
Feedback wanted:
- Does the dynamic inbox concept resonate?
- What's missing for your workflow?
If Claude Imagine is the future of software, Float is the future of comms tools.

value: Show HN: Float – What if Slack worked like Claude Imagine? (dynamic inboxes)

author: FloatAIMsging


value: imbdb

value: Show HN: Calcetra – an interactive geometry explorer for math visualization

author: imbdb


value: WingenderA

value:
Hi guys!
I would love to show you Caffeine Clock 2.0, a tracker I made that shows you your caffeine levels now and in the future, helping you have undisrupted sleep by timing your caffeine better.
A bit of context - as a guy who drinks a lot of caffeine, I wanted to make a good caffeine tracking app for a long time, since nothing I found at the time was sufficient. I wanted to make an app that would be easy to use, show you exactly when you’d have enough caffeine to not have your sleep disrupted, and could add all the drinks I usually drink, for free.
After several iterations, I am now releasing the second major version of Caffeine Clock, which is the caffeine tracking app I always wanted to build.
Some highlights:
Accurate caffeine algorithm — able to take the absorption rate and a “sipping” duration into account to actually give you a realistic estimate
Fully offline — the data is only on your phone. No login, nothing. You can move the data from phone to phone
Comprehensive onboarding, which (at least I hope) asks relevant questions supported by studies — those will set your caffeine half-life and sleep-safe threshold
Over 200 drinks in the database — or create your own as well
Analytics — including average caffeine consumption, a streak of days where your caffeine amount was good at your bedtime, drinks breakdown, etc.
Localized into five languages (some of them AI-translated; please help me if you find something weird)
Free - It is supported by ads, and there is an option to support the app and remove them.
I would love to hear your feedback. Please, check it out for yourself and let me know what you think!

value: Show HN: Caffeine Clock – A beautiful and accurate caffeine tracker app

author: WingenderA


value: vladoh

value:
Hey HN! I started building a free and open-source tool out of frustration with how difficult it is to share vacation photos and pictures of our son with friends and family. There was no tool that let me create a shareable web gallery with a great mobile experience, the ability to add detailed descriptions, and no login required.
I launched the initial version written in Python 5 years ago, and it got some traction (200+  on GitHub). This is now a full rewrite in TypeScript - a more modern, much faster, and better-looking version!
The CLI scans a folder and all sub-folders for photos and videos, generates thumbnails optimized for speed and finally creates a static web site to showcase the photos and tell their story. As the gallery is static, you can easily self-host it on any static hosting provider like Vercel, Netlify, Cloudflare Pages or GitHub Pages. Everything is written in TypeScript that the site is generated with Astro.
Happy about any feedback or questions :)

value: Show HN: Simple Photo Gallery – CLI to turn folder of photos into static gallery

author: vladoh


value: nyaomaru

value:
Hi HN, I built is-kit, a lightweight, zero-dependency toolkit for TypeScript type guards and composable validators.
I made this because I was tired of writing repetitive value is Foo guards and wanted a clean, type-safe alternative.
GitHub: https://github.com/nyaomaru/is-kit
Docs: https://is-kit-docs.vercel.app/en
Would love your feedback on design trade-offs and naming!

value: Show HN: Is-Kit – Lightweight TypeScript Guard and Validator Toolkit

author: nyaomaru


value: ugalongaoog

value: Show HN: ChatGPT and Crypto Markets

author: ugalongaoog

title: Show HN: ChatGPT and Crypto Markets


value: inhkjp

value: I built a web analytics tool that is affordable and privacy-focused. Many web analytics start with 10k events. However, I was struggling to get 10k visitors a month with my previous projects so I was hoping there is a lower plan than 10k events so I can save running costs in early stages. Microlens starts with 5k events for small sites. And it also works great with middle sized web sites with under 1M page views a month. If you guys give me any feedbacks that would be much appreisated.

value: Show HN: Web Analytics Tool

author: inhkjp

title: Show HN: Web Analytics Tool


value:
It has been a while since I have shared my app, that I made to be able to practice my Danish while chatting with my grilfriend - I often used GPT to write as much as I can in Danish, and I replaced the words I didn't know with {Englis words in curly braces}. While this was great, it was rather annoying to  type the prompt always, so I figured a GPT wrapper would work well here.
Last time when I launched, it went viral! I was super happy (and grateful!) for all the feedback and excitement — but it also meant my tokens disappeared fast, and many people ended up trying an app that no longer worked...
So… I took a step back, trimmed a few auxiliary features, and started porting the whole thing over to Supabase with proper rate limiting.
It’s still a work in progress, but the core functionality is up and running — you can write in your target language, add words that you do not know (or context) in {curly braces}, and get a corrected version with explanations.
I figured I’d share an update now instead of waiting until everything’s perfect — would love to build it in the open and keep you all in the loop this time.

value: Show HN: I am relaunching the app I made to talk to my Danish girlfriend


value: d-yoda

value:
Hi HN! I built pyscn for Python developers in the vibe coding era.
If you're using Cursor, Claude, or ChatGPT to ship Python code fast, you know the feeling: features work, tests pass, but the codebase feels... messy.
Common vibe coding artifacts:
• Code duplication (from copy-pasted snippets)
• Dead code from quick iterations
• Over-engineered solutions for simple problems
• Inconsistent patterns across modules
pyscn performs structural analysis:
• APTED tree edit distance + LSH
• Control-Flow Graph (CFG) analysis
• Coupling Between Objects (CBO)
• Cyclomatic Complexity
Try it without installation:

  uvx pyscn analyze .          # Using uv (fastest)
  pipx run pyscn analyze .     # Using pipx
  (Or install: pip install pyscn)

Built with Go + tree-sitter. Happy to dive into the implementation details!

value: Show HN: Pyscn – Python code quality analyzer for vibe coders

author: d-yoda


value: demensdeum

value: in-browser voxel editor for collaborative, cube-based 3D art. It features real-time color manipulation via RGB sliders and a synchronized grid for multiple users. No install needed, just launch the demo and start creating with others.

value: Show HN: Cube Art Project 2 Online – A Multiplayer Voxel Editor in the Browser

author: demensdeum


value: Adithya-Kolavi

value:
If you’re doing deep learning, you know the struggle: GPUs are expensive, setting up infrastructure is a pain, and most of the time they sit idle while you write or debug code. Multi-GPU setups make things even harder.
I’ve been using Modal for everything — training, fine-tuning, evaluation, and even serving models. It lets me write code locally and run it instantly on serverless GPUs — no Kubernetes, no VM headaches, no idle GPU bills. I can attach persistent volumes for datasets and model weights, scale from 1 to 8 GPUs, and only pay for what I use.
Over time, I learned how to effectively use Modal for real-world ML workflows. And I’ve put everything we learned into hands-on tutorials that detail the full process:
Training nanoGPT from scratch by andrej karpathy
Fine-tuning and deploying Gemma 3-4B with UnslothAI
Multi-GPU Llama 8–70B training with axolotl_ai

value: Show HN: Write deep learning code on your laptop and run it instantly on GPUs

author: Adithya-Kolavi


value: petemilly

value:
Hello! I made a top-level domain explorer and wiki with all 1,592 TLDs in IANA's root zone database.
Would appreciate any feedback or feature ideas. At the very least I'd like to add filter/sort.
Source code is public on my repo and val.town:
1. github.com/pmillspaugh/dotcom.press/pull/16
2. val.town/x/petermillspaugh/tld-wiki

value: Show HN: TLD Wiki and Explorer

author: petemilly

title: Show HN: TLD Wiki and Explorer


value: shivhere

value: Show HN: I built an AI financial co-pilot to reduce money stress

author: shivhere


value: vgabaz

value:
As graphic designer turned software engineer, I realized a lot of my daily tasks are generating repeating templates for social media.
That's why I built Pablle - instead of prompting an image model, you plug in your existing templates, and generate new branded graphics via chat or API - in seconds. Since it's template based, it's always on brand, without hallucinations, and supports any dimensions.
You can use it for ads, certificates, social media posts, or any repeatable design workflow.
Would love your feedback!
Viktor

value: Show HN: I built a design AI agent that never hallucinates

author: vgabaz


value: fabawi

value:
I built TeXlyre, an open-source collaborative editor for LaTeX and Typst that works entirely locally-first. No data leaves your device unless you explicitly share it.
The main pain point I wanted to solve: existing solutions like Overleaf require sending your documents to their servers, and local editors don't handle real-time collaboration well. TeXlyre uses CRDTs for conflict-free collaboration while keeping everything on your machine.
Key features:
- Works offline by default
- Real-time collaboration via WebRTC (peer-to-peer)
- Support for both LaTeX and Typst
- Your data stays on your device
- Open source
The architecture uses local-first principles - documents are stored in your browser's storage and synced directly between peers when collaborating. No central server sees your content.
Still early but functional. Would love feedback from the HN community, especially around the collaboration UX and any edge cases I haven't considered.
GitHub: https://github.com/texlyre/texlyre
Demo: https://texlyre.github.io

value: Show HN: TeXlyre – Local-first collaborative LaTeX/Typst editor

author: fabawi


value: legitcoders

value: Show HN: Track AI Bots Crawling Your Website

author: legitcoders


value: RomanPushkin

value: Show HN: LibreCash – Open-Source USDT/Cash Exchange for Small Amounts

author: RomanPushkin


value: delopsu

value:
I've made an ASCII drawing board.
You can set any brush, canvas size, export art as a text file.
I want to keep it as manual/analog as possible, hence there is no tool for converting image to ASCII.
Prompting LLMs to draw ASCII art turned out to be a difficult task .
So instead I decided to ask it make a drawing board. Wihtout coding agent I wouldn't even try myself. Although it is an interesting task, it would drift me away.
Basically it's just a drawing board with endless variations of textures and brushes: when you make large canvas and zoom out you don't see ASCII anymore, but textured drawing.
E.g. this is a cat: https://x.com/delopsu_com/status/1971726204073136219, brush used: " ".
I would appreciate if you could give it a try and tell your people about it, if it's something that may be of their interest.
Also please give any feedback here or on X.
 turns out there is already (or is emerging) ASCII benchmark for LLMs.

value: Show HN: ASCII Drawing Board

author: delopsu

title: Show HN: ASCII Drawing Board


value: michaelteter

value:
docgen is a simple tool which reads your project and generates a single text file which contains a file tree and each of the files concatenated with markers.
I built this (vibestyle, with a lot of my guidance) to make it easy for me to have conversations with various AI chats about my projects.  Just drop that project_doc.txt file into a chat, give a suitable prompt, and go!
It respects your .gitignore, and you can also add an additional inclusions/exclusions file to control what ends up in the final output.
The code is open source, MIT license.  Golang is not my usual language, and most of the code was generated by GPT4 and Claude 4.5, so code quality is not necessarily tops.

value: Show HN: Docgen – your project in a single text file

author: michaelteter


value: htieu

value:
Hey HN! I'm Huy, leading product at Katalon in Vietnam. We built Scout QA because the testing tools we had weren't keeping up with how fast we (and our users) are shipping with AI coding tools.
The problem: When you're using Cursor, Replit, or Lovable to generate entire features in minutes, traditional test automation feels backwards. You'd spend more time writing Selenium scripts than it took to build the feature.
Scout takes a different approach. You give it a URL, and it uses AWS Bedrock AgentCore with Amazon Nova Act to figure out what to test. It explores your app, generates checks automatically, and gives you Traffic Light Reports (red/yellow/green) showing what works. When something breaks, it suggests prompts you can feed back to your AI coding tool to fix it.
We're using it internally on our own AI-generated features and it's caught several regressions we would have missed. Still early—there are definitely edge cases where it gets confused, and we're working on better context awareness.
We launched with a freemium model. Magic link auth gets you started in about 30 seconds.
Technical folks: We're especially interested in feedback on our approach to autonomous test generation. Are we thinking about this problem the right way?
Happy to answer questions about the architecture, our reasoning model, or why we think testing needs to evolve for the AI-native development era.

value: Show HN: Scout QA – Vibe testing for vibe coding

author: htieu


value: redneno

value:
Hi, friends in the HN community,
I developed ChronoFrame, a self-hosted photo gallery for sharing photos with others.
It is built with Nuxtjs + Nitro and can be easily run on Docker.
Repository: https://github.com/HoshinoSuzumi/chronoframe
We are very much looking forward to feedback from self-hosting enthusiasts!

value: Show HN: ChronoFrame – A self-hosted personal photo gallery app

author: redneno


value: mingtianzhang

value:
The word "index" originally came from how humans retrieve info: book indexes and tables of contents that guide us to the right place in documents.
Computers later borrowed the term for data structures: e.g., B-trees, hash tables, and more recently, vector indexes. They are highly efficient for machines; but abstract and unnatural: not something a human, or an LLM, can understand and directly use as a reasoning aid. This creates a gap between how indexes work for computers and how they should work for models that reason like humans.
PageIndex is a new step that "looks back to move forward". It revives the original, human-oriented idea of an index and adapts it for LLMs. Now the index itself (PageIndex) lives inside the LLM's context window: the model sees a hierarchical table-of-contents tree and reasons its way down to the right span, much like a person would retrieve information using a book's index.
PageIndex MCP shows how this works in practice: it runs as a MCP server, exposing a document's structure directly to LLMs/Agents. This means platforms like Claude, Cursor, or any MCP-enabled agent or LLM can navigate the index themselves and reason their way through documents, not with vectors/chunking, but in a human-like, reasoning-based way.

value: Show HN: A Vectorless LLM-Native Document Index Method

author: mingtianzhang


value: minimaxir

value: Show HN: Python package to easily generate and edit images with Nano Banana

author: minimaxir


value: ziadhussein

value:
Hello HN, I built a free IPA discovery site to help you find IPAs to sideload.
100% free and no signups needed. Currently it is only scraping 1000 repos from Github that have .ipa files in the release files. I will add more repos in the next few hours
I will probably add a way to suggest must-haves at some point today.
Check it out here and let me know what you think

value: Show HN: I built a free IPA discovery site to help you find IPAs to sideload

author: ziadhussein


value:
Hey HN,
I find myself reaching for tools like it-tools.tech or other random sites every now and then during development or debugging. So, I built a toolkit with a sane and simple CLI interface for most of those tools.
For the curious and lazy, at the moment, ut has tools for,
- Encoding: base64 (encode, decode), url (encode, decode)
- Hashing: md5, sha1, sha224, sha256, sha384, sha512
- Data Generation: uuid (v1, v3, v4, v5), token, lorem, random
- Text Processing: case (lower, upper, camel, title, constant, header, sentence, snake), pretty-print, diff
- Development Tools: calc, json (builder), regex, datetime
- Web & Network: http (status), serve, qr
- Color & Design: color (convert)
- Reference: unicode
For full disclosure, parts of the toolkit were built with Claude Code (I wanted to use this as an opportunity to play with it more).
Feel free to open feature requests and/or contribute.

value: Show HN: ut – Rust based CLI utilities for devs and IT


value: vnglst

value: Here's an experiment I did around the following question: Can AI models like ChatGPT recreate Van Gogh's Starry Night using SVG? I created a website to test this across multiple large language models, from 2022 to 2025. The results show how much models have improved, but also that their interpretations show a kind of beauty. It's almost like... art?<p>I tested this across multiple paintings: The Scream, Rembrandt's Night Watch, Mondrian's Victory Boogie Woogie and more. You can browse them in the gallery.

value: Show HN: Which LLM draws the best Starry Night? (using SVG)

author: vnglst


value: zenull

value: PuyPay is a tool that allows anyone to create a short crypto payment link. You choose a blockchain, enter a wallet address and amount, and get a link like puypay.com/abc123xy to share with others.

value: Show HN: PuyPay is a tool that allows anyone to create a short crypto links

author: zenull


value: aaaawwww

value:
Hi,
This project offers a low-cost solution for monitoring large areas. If you are interested in connecting ESP32 to your own cloud, this repository can help you.
You only need a single ESP32-CAM to test the basic functionality of this project.

value: Show HN: ESP32+Cloudflare Pages

author: aaaawwww

title: Show HN: ESP32+Cloudflare Pages


value: noxymon

value: Show HN: Things-Kit – Bringing Spring Boot-Like DX to Go Microservices

author: noxymon


value: dylnbk

value:
Hello everyone.
I have just published OpenScreen (https://openscreen.app), an open-source platform I developed for managing video based assessments.
I created it to streamline the process of reviewing video submissions in areas like recruitment or education, where you often receive many responses that need consistent scoring.
It uses a Firebase for authentication, database, storage.
Optional AI analysis, using Google Gemini API to analyse videos, evaluate, and generate scores and detailed feedback.
It supports the creation of custom campaigns and flexible scoring criteria, for various assessment needs.
The codebase is open source for anyone that would like to fork it and use it for your own needs.
Thank you for taking a look. I appreciate any thoughts or suggestions!

value: Show HN: OpenScreen. Open-source video assessment screening tool

author: dylnbk


value:
I built a system that monitors 500+ Roblox games and correlates CCU spikes
with YouTube creator activity to detect trending game mechanics before they
saturate the market.
How it works:
- Polls CCU data via RoProxy (TOS-compliant)
- Tracks top 20 Roblox YouTube creators
- Detects when: CCU growth ≥25% + YouTube video mentions game + mechanic
  keyword match (NEW/UPDATE/SECRET)
- Alerts studios via Notion
Tech: Python, DuckDB, aiohttp, RapidFuzz. ~600 lines of code.
Use case: Studios can clone trending mechanics before 20+ competitors do the same.
Example: Could have caught Pet Simulator X's merge mechanic 36h before it
hit Popular page (hypothetical - system is new).
GitHub: https://github.com/SanchitSharma10/early-shift
Built this in 3 days to explore multi-agent architecture patterns. Roadmap
includes BERT classification and multi-signal fusion (TikTok/Twitter).
Open to feedback on the approach!

value: Show HN: Early Shift – Detect trending Roblox mechanics 24-48h before saturation


value: Adithya-Kolavi

value:
So let's face it, if you’re doing anything with deep learning, GPUs are essential.
They’re expensive, and setting up infrastructure is painful. Most of the time, your GPUs sit idle while you’re coding, yet you still pay for uptime when scripts fail on the first try.
I ran into this as a “GPU poor” researcher. Tasks like downloading datasets or transforming data don’t need a GPU, but traditional setups force you to use one. Cloud setups don’t help—VMs with GPUs require manual environment setup, CUDA installations, or Docker containers just to get started. Multi-GPU training adds more headaches: not all images support NCCL, so communication between nodes can fail
At my research lab[1], we run experiments across model training, synthetic data generation, and RL. We needed a setup that was flexible, reliable, easy to use and collaborate.
When I went looking for a solution that would let me write code locally and run it on GPUs instantly, without worrying about infrastructure, multi-node setups, or idle GPU time, I stumbled upon Modal [2], and after a year of using it, it’s been a game-changer: it increases our research throughput and productivity, saves a ton on GPU costs and infrastructure management, and allows us to ship really fast.
I’ve compiled everything we’ve learned into this blog + hands-on tutorial [3], with three examples showing different ways to use Modal: rapidly develop on GPUs, deploy at scale, and do it all without breaking a sweat over infrastructure.
Here’s what we cover in the blog:
- Wrapping existing code to run on Modal’s serverless infrastructure.
- Handling datasets on Modal with volumes for seamless access.
- Writing training scripts using Unsloth and Axolotl for easy fine-tuning.
- Serving models in a scalable, high-throughput way with vLLM.
By the end, you’ll know how to write and experiment locally and run on GPUs instantly—no idle bills, no complex environment setup, no multi-node headaches.
[1] https://cognitivelab.in
[2] https://modal.com
[3] https://aiengineering.academy/LLM/ServerLessFinetuning/

value: Show HN: I hate paying for GPUs while developing – this is how I solved it

author: Adithya-Kolavi


value: danielepelleri

value:
I built Orchestro, an open-source MCP server + web dashboard for Claude Code. The short version:
“Trello for Claude Code” — with a built-in “scrum master” that keeps the board honest and agents that move cards from goal → tasks → code as work happens.
Why
- Hidden state in prompts, invisible dependencies, lossy handoffs goal→tasks→code.
- PMs and devs don’t share the same live view of progress.
What it does
- Kanban that actually executes: plan on the board, MCP tools drive the flow.
- Auto “scrum master”: decomposes stories, sets deps, enforces sane state transitions.
- Agents prepare context-rich prompts for Claude and move cards across columns.
- Realtime board (Socket.io), dependency graph, audit trail.
- Local-first: your data lives in your Supabase project. MIT licensed.
Quick start (~2 min)
  npx @orchestro/init
  npm run dashboard   (opens http://localhost:3000)
  restart Claude Code, then ask: “Show me orchestro tools” (~60 tools)
Tech
TypeScript MCP server, Next.js dashboard (React Flow), Supabase (PostgreSQL + RLS).
What I’m looking for
- Heavy Claude Code users to test and tell me what hurts (missing tools, bad UX, slow paths).
- Real-world feedback on the “agents move the cards” model.
- PRs/issues welcome. A star helps discoverability if it’s useful.
Links
Website: https://www.orchestro.org/
Repo: https://github.com/khaoss85/mcp-orchestro

value: Show HN: Orchestro – Trello for Claude Code (open-source MCP server)

author: danielepelleri


value: kdrmlhcn

value:
Hi HN,
We’re building eSIM Panel, a SaaS platform that makes it easier to launch an eSIM business.
The problem:
Selling eSIMs is painful. Either you build telco-grade infrastructure (expensive, months of work), or you try Shopify/WooCommerce – but they don’t handle activations, APIs, or telecom workflows.
Our approach:
-White-label storefront under your own brand
-eSIM management (activation, distribution)
-Multiple provider API integrations
-Customer wallet + loyalty features
We’re not Shopify-scale (yet) – the product is early and much simpler. But the vision is similar: bring the “start fast, scale later” model into the eSIM space.
Demo: https://demo.esimpanel.io
Special for HN readers
As part of our launch, we’re offering exclusive discount codes for early adopters here:
Code HN20 → Starter plan at $79 (instead of $99)
Codes are valid until 15th of November.
We’d love feedback on:
-Which features would matter most to you?
-Does the pricing make sense for early adopters?
-Any advice on better positioning?
Thanks for reading

value: Show HN: ESIM Panel – Shopify-Like SaaS for ESIM Resellers

author: kdrmlhcn


value: nolesapex

value:
Microsoft has been under heavy scrutiny with how they manage Windows over the years, particularly concerning privacy and telemetry settings. Many users find that after disabling certain settings, these settings are mysteriously re-enabled after updates or without any apparent reason. DidMySettingsChange is a Python script designed to help users keep track of their Windows privacy and telemetry settings, ensuring that they stay in control of their privacy without the hassle of manually checking each setting.
Features

    Comprehensive Checks: Automatically scans all known Windows privacy and telemetry settings.
    Change Detection: Alerts users if any settings have been changed from their preferred state.
    Customizable Configuration: Allows users to specify which settings to monitor.
    Easy to Use: Simple command-line interface that provides clear and concise output.
    Logs and Reports: Generates detailed logs and reports for auditing and troubleshooting.

value: Show HN: DidMySettingsChange – A tool that checks changed windows settings

author: nolesapex


value: ccheshirecat

value:
I’ve been building Volant, a modular microVM orchestration engine that makes running microVMs feel as simple as Docker.
It supports cloud-init, GPU/VFIO passthrough (yes, you can run AI/ML workloads in isolated microVMs), booting Docker images via a plugin system, and Kubernetes-style deployments with replication, all from a single CLI(soon to be web UI, see next)
Coming soon: a built-in PaaS mode with snapshot-based cold start elimination, sort of like Dokploy, but designed for serverless workloads that boot from memory snapshots instead of containers.
Volant is intentionally a bit opinionated to make microVMs more accessible, but it’s fully extensible for power users.
Check out the README and the docs for more details.
It’s free and open source (under BSL), would love to hear feedback or thoughts from anyone!
tl;dr: 6-second GIF in the README shows the full flow: install → create VM → get HTTP 200.

value: Show HN: Volant– spin up real microVMs in 10 seconds(Docker images or initramfs)

author: ccheshirecat


value: cylinderthought

value:
I've built a unique identicon system where any text input becomes your permanent digital domain - same input always generates the same beautiful pixel avatar.
Think of it like collecting domain names, but for visual identity:
• Deterministic Identity: "alice" always creates the same unique avatar
• No Central Authority: Your identicon exists as long as your text does
• Collectible Assets: Each identicon has RPG stats (attack: 12.3, rarity: epic)
• Visual Branding: Consistent avatar across all platforms without uploads
• Multiple Tools: ASCII art generator, hash calculator, color palette extractor
It's like having a personalized pixel art domain that you own forever - no registrar fees, no renewals, just pure deterministic beauty.
Features:
• Text-to-pixel-art avatars (deterministic generation)
• Gaming stats and rarity system
• Virtual marketplace for collecting
• Multiple creative tools included
Try creating your digital domain: https://identiqwe.maxcomperatore.com/

value: Show HN: Identicons – Deterministic pixel art avatars from any text

author: cylinderthought


value:
Pluely is an open-source alternative to all stealth AI products/companies, and Pluely is your go-to AI companion that lives silently on your desktop as a translucent overlay—always on display, one click away. At just ~10 MB, it’s ultra-lightweight (27× smaller than Cluely), uses 50% less compute power, and launches in < 100 ms. Pluely stays on top of any window without intrusion, overlaps seamlessly with your workflow, and requires zero configuration—just your API keys and you’re ready to summon AI insights, summaries, translations, and more in an instant.
Power up with Pluely — compatible with millions of LLMs worldwide. 100% free when you bring your own API key.
So far, Pluely is better than all stealth desktop applications, with many features, custom LLMs, stealth features, and more. It's completely open source, 850+ stars on GitHub.
all with: solo contribution, $0 funding, and endless nights.
This release enhances user interface fluidity, audio processing, AI-powered system prompts, markdown rendering, customizable keyboard shortcuts, and multi-monitor support. It fixes key bugs, adds Pro-exclusive features, and optimizes performance for a smoother experience.
User Interface & Experience
- Drag and drop application window
- Fixed window bounce on drag with popover
- Adjustable window transparency (0-100%)
- Custom invisible cursor with smooth animations
- Improved textarea with custom scrollbar
- Enhanced chat UI with persistent state
Keyboard Shortcuts
- Fully customizable global shortcuts
- Hotkey configuration with conflict detection
- Platform-specific default shortcuts (macOS, Windows, Linux)
Multi-Monitor Support
- Multi-monitor window positioning
- Automatic window repositioning at screen boundaries
Audio & Speech Recognition
- Option to disable VAD with manual recording
- Configurable audio recording duration (3-5 minutes)
- Improved VAD configuration panel
- Enhanced system audio capture with better error handling
AI & System Prompts
- AI-generated system prompts for Pro users
- System prompt profiles with CRUD operations
Markdown & Rendering
- LaTeX/KaTeX math rendering in markdown
- Enhanced code syntax highlighting with Shiki
- Improved markdown styling
- Support for inline and block math expressions
Bug Fixes
- Fixed floating tab movement
- Resolved search response overlap
- Fixed Perplexity API key integration
- Corrected Pluely visibility on macOS screenshare
- Fixed Ollama fetch error
- Resolved system audio capture on Windows 11
- Added draggable floating UI
- Improved multi-monitor support
Fixed window bounce, search overlaps, API issues, and other bugs. Performance improved.
Downloads: https://pluely.com/downloads
Website: https://pluely.com
Repo: https://github.com/iamsrikanthnani/pluely

value: Show HN: Pluely v0.1.5 Released, Open Source Invisible AI Assistant


value: hoanh

value: Show HN: High-fidelity, compact, and real time rendering of university campus

author: hoanh


value: mmajzoobi

value:
I have been working on this modular open source design for a while and will start taking pre-orders next week on Kickstarter.
https://www.kickstarter.com/projects/ubopod/ubo-pod-hackable...
You can watch a more in-depth video of the functionality here:
https://www.youtube.com/watch?v=zBFd0aLzWAk
this is a fully open source product (hardware & software). The software stack uses Pipecat under the hood for voice/vision ai orchestration.
The core uses a redux-based event driven reactive design that communicates with various pluggable services. For more on the software side, check the repo here:
https://github.com/ubopod/ubo_app

value: Show HN: DIY AI Dev Kit Assembly [video]

author: mmajzoobi


value: Stevinn

value:
About six months ago, I started building JustGrind because every habit app I tried was either overloaded with features or built on empty hype.
I wanted something quieter — an AI coach that learns your goals, keeps you consistent, and adapts as life changes.
After two more months of refining and rebuilding, V2 is finally live: smoother, faster, and fully redesigned with more features.
It’s still in early development, so I’d really appreciate any feedback, feature requests from the HN community.

value: Show HN: 6 Months Building and 2 Refining – I Shipped My AI Accountability Coach

author: Stevinn


value: govmaspy

value:
The background for this is that I'm a pretty frequent X-user like I think most people here might be. I use X on safari because I think it reduces my engagement. During the lead up to the 2024 election I was getting spammed with political posts. And also I noticed the TikTokification of the website where they were pushing more and more short-form content, which I hear is still a problem.
So the extension includes three things for people:
1. Filter ads (it does this in a dumb way right for now)
2. Filter videos (this has been the killer feature for me, getting rid of all the short-form video content)
3. Custom LLM filter (I've added the ability to write a custom prompt and add an OpenAI key, and it'll run it against GPT-4 mini. You might quickly hit your request per minute, so I suggest putting some money in your OpenAI key)
There's was a bit of trickiness with the way Safari extensions allow network requests vs. direct Chrome extensions. The actual repo is a little messy - I'm just putting the Xcode project which I converted from a Chrome extension and did a little bit of work to get this working in Safari.
I think there's lots of interesting ways this could go if anyone wanted to encourage me to add to it. But yeah, just putting it out there to see if there's any other like-minded people who don't want their timelines filled with slop.

value: Show HN: XedOut (A Safari Extension filter for X.com)

author: govmaspy


value: czmilo

value:
This tool lets you:
- Download any public Sora video from its link.
- Extract the original prompt used to create it.
Free and no signup required.
https://soravideodownloader.com/

value: Show HN: Soravideodownloader.com – A tool to save Sora videos and prompts

author: czmilo


value: cranberryturkey

value: Show HN: A Node.js CLI tool to generate ai.txt, llms.txt, robots.txt, humans.txt

author: cranberryturkey


value: jokera

value:
Hi HN!
I built NanoBibi.com, a free AI creation platform that lets anyone generate AI images, videos, and audio in one place.
The platform uses models like Google Nano Banana (Gemini 2.5 Flash Image) and ByteDance Seedance-1-Pro to create cinematic, high-quality content directly in your browser — no installs or accounts required.

value: Show HN: NanoBibi – AI Creation Platform for Images, Videos, and Audio

author: jokera


value: kanodiaayush

value:
Hey HN — I made Kerns because long, static writeups felt awful for deep learning. On Kerns a “space” is a structured learning environment: a top-level map, concise summaries, linked sources, a search/chat agent, audio version, and a fork button so you can re-organize the material and experiment.
There's many premade spaces on interesting topics — Paul Graham’s essays, AI model comparisons, and recent policy shifts — so you can try exploring right away. The idea is simple: learning should happen in a powerful environment, not on static text.
Please give me feedback!

value: Show HN: Ready-to-explore, forkable spaces to understand topics

author: kanodiaayush


value: mingtianzhang

value: In this blog, we introduce a pure JSON index to enable reasoning-based RAG without relying on any Vector DBs. Any feedback is welcome!

value: Show HN: PageIndex for Reasoning-Based RAG

author: mingtianzhang


value: RenzMc

value:
Halo semuanya!
Aku ingin memperkenalkan RenzmcLang, bahasa pemrograman
yang menggunakan Bahasa Indonesia. Belajar coding jadi
lebih mudah karena sintaksnya pakai kata yang familiar,
tetap bisa bikin program nyata.
Fitur utama:
- Sintaks Bahasa Indonesia yang mudah dipahami
- Pemrograman Berbasis Objek (kelas, konstruktor, metode)
- Integrasi langsung dengan Python
Contoh cepat:
# Kelas sederhana
kelas Mahasiswa:
    konstruktor(nama, nim):
        diri.nama itu nama
        diri.nim itu nim
    selesai

    metode info():
        tampilkan f"Nama: {diri.nama}, NIM: {diri.nim}"
    selesai

selesai
mhs1 itu Mahasiswa("Budi Santoso", "12345")
mhs1.info()
Install cepat:
pip install renzmc
Masukan & ide kalian bakal bantu RenzmcLang jadi lebih berguna.

value: Show HN: RenzMcLang – Bahasa Pemrograman Berbasis Bahasa Indonesia

author: RenzMc


value: qxsp

value:
I built it because I needed a way to see how much will my early payments save in interest overtime.
Most of the websites I found are solely made for the US, which does not help my case. So I built one that has a bit more flexibility in terms of loan data.
Any feedback is appreciated.

value: Show HN: Meihus – Mortgage calculator that shows early payment impact monthly

author: qxsp


value: valado

value:
Hey HN
I built Vibesmonitor because I was tired of spending more time setting up analytics and tools than actually building the project.
The frustration
Every time I shipped a side project, I’d spend a weekend on setting up various tools: creating tracking plans, wiring dashboards… only to realize I still had no clue why users were dropping off.
What it does?
One line of code gives you the only three things that actually matter:
1. Where users go and where they get stuck – real user journeys, not just pageviews
2. When your app breaks – errors with full context on real devices
3. What users actually think – in-app feedback with screenshots
 No tracking plan. No config. Just copy → paste → ship.
Why I built it?
I’m a creator, not a data analyst. I don’t want a PhD in analytics — I just want to know what’s broken and what to fix next. Most tools assume you have a data team or infinite time. Vibesmonitor is analytics for creators who ship.
Current state
It’s live and running on real projects (100k+ requests/month). The dashboard shows user flows, errors, and feedback — all in one place. No vanity metrics. Just clarity and insights.
Feedback I need
* Is this too simple? Am I missing something obvious?
* Does this actually solve the right problem, or just my own?
I’m here all day — roast away.
Pricing & launch offer
Free & Pro tiers for indie hackers. Paid plans for growing projects. Launch offer: 50% off until Oct 31, 2025, limited to the first 150 slots.
 https://vibesmonitor.com
Built by a creator, for creators. Less configuring, more building.

value: Show HN: Vibesmonitor 1-line analytics, error-tracking and feedback for creators

author: valado


value:
Hi HN.
I'm Alessandro, 20 yo tinkerer from Milan, Italy.
I was sick and tired of using github copilot to review repos that i was trying to understand, in order to contribute to them.
So I built a messaging app to talk with those repos.
In the messaging app you can setup an AI Agent and have it store the context (the repo).
Then you can have a conversation with the agent and understand the codebase better.
By setting up a public agent you'll be able to et other people chat with your repo at the same time.
Which is a great way to connect with other oss aficionados.
Have a great day.

value: Show HN: Reviewing Repos Sucks, Chat with Them Instead


value: klevo

value:
This is my, fully bootstrapped, take on an application hosting platform. I designed it primarily for myself, to meet the following goals:
* Utilize the best parts of the cloud, leave expensive value added services behind.
* Host anywhere in the world, close to your users.
* Batteries included: backups, logging, monitoring, auto-scaling, containerization, databases.
* Simple and user friendly.
The journey was tough. It took me round about 3 years to get everything just right. This goes against the conventional wisdom of getting something simple out quick. With a hosting platform however, in my mind, reliability, stability and certain maturity are a must have from the start.
I definitely need to work on the presentation, it's barely covering the basics. But you have to start somewhere :-)
I'd love to hear some critique from the community. Thanks!

value: Show HN: Envirobly – Efficient App Hosting

author: klevo


value:
If you’ve used GraphQL, you’ve probably worked with Apollo or Relay. We all love how they handle automatic data updates after mutations.
However, when it comes to array operations (like adding or removing items), you often still need manual updates or refetches.
Normy takes this idea further — it brings normalization to any API, not just GraphQL, and comes with built-in array operations (append, insert, remove, etc.). You can even define custom operations, so your data layer stays fully reactive without writing update logic by hand.
In short: no more manual data updates, no matter what API or backend you use.
Docs and examples are in the README:
 https://github.com/klis87/normy

value: Show HN: Normy – Bring automatic data normalization (and array ops) to any API


value: alwinaugustin

value:
I built Toolbit — a fast, ad-free, privacy-respecting developer toolbox that runs entirely in your browser.
It brings together 20+ everyday utilities like:
    JSON Formatter & Validator
    Base64 Encoder / Decoder
    JWT Decoder
    Markdown Previewer
    HTML / CSS / JS Minifiers
    Word Counter, Diff Tool, and more
Everything runs completely on the client side, so no data ever leaves your machine. You can even install it as a PWA for offline access.
Toolbit was born from frustration with random online tools full of ads, trackers, and inconsistent UIs. I wanted a single, clean space that developers could trust and use quickly without losing focus.
Features:
    All-in-one workspace for common developer tasks
    100% local execution (no server calls or telemetry)
    Light & dark themes
    Works on any browser and can be installed as a PWA
Try it here: https://toolbit.pages.dev
I’d love feedback on usability, performance, and what tools you think I should add next.

value: Show HN: Toolbit – A unified, privacy-friendly toolbox for developers

author: alwinaugustin


value: Just a small repo I made!

value: Show HN: Open-source GitHub repo with +200 tools for investing

story_text: Just a small repo I made!


value: omeysalvi

value:
I was interested in making a live game like Twitch Plays Pokémon from years ago. I recently saw the Falling Pickaxe game trending on YouTube and decided to go for it as a small project. I had already made a Chess game and thus had some code. I made this version by integrating the YouTube Data API. Game engine is Unity.
Moves are checked every 20 seconds. The underlying AI is Stockfish. It falls well below the api quota and can be run all day.

value: Show HN: Chat Plays Chess (YouTube)

author: omeysalvi

title: Show HN: Chat Plays Chess (YouTube)


value: visualblack

value:
I build Aikoa for myself to replace paper lists and todos.
There is gaziljion different todo apps. Why not use one of them?
Every todo app I tried just confused my brain and I wanted something really simple that makes me want to mark tasks as done. And as a nerd, I wanted the power to stay in the background.
I’m currently building Aikoa in my free time, but I keep releasing new features regularly.
As a fun bonus for all early birds, I’m sending out a limited custom sticker. Delivered anywhere in the world.
Would love to get feedback from you and hope this little web app helps you as much it have helped me!

value: Show HN: Aikoa – minimalistic todo web app for work-life

author: visualblack


value: YouComic.org is an online platform for creating and sharing comics, designed to provide comic enthusiasts with a space to freely create, showcase, and engage.<p>Users can publish original comic works, interact with the community, receive feedback, and connect with other comic creators.

value: Show HN: Youcomic.org: AI-powered one-step comic creaction platform


value: scanmed

value: Show HN: How to create your own custom decentralized lotteries

author: scanmed


value: tmarice

value:
Hi HN,
I'm heavy user of Fastmail's masked email feature, but since I don't use 1Password or Bitwarden, I find it cumbersome
to create masked mails by going to the Fastmail settings page every time I need one.
To streamline this process, I developed a tiny Chrome extension that allows you to create a new masked email through the
context menu with just one click, and autofill the email form field.
It’s a simple privacy-friendly tool - no telemetry, no servers, no tracking - and is open source on Github: https://github.com/tmarice/fast_masked_mail_creator/
I’d love feedback — especially from others who use masked emails daily or have multi-account Fastmail setups.

value: Show HN: Fast Masked Mail Creator – Chrome Extension for Fastmail Masked Emails

author: tmarice


value: tonysurfly

value: Show HN: Iframetest.com

author: tonysurfly

title: Show HN: Iframetest.com


value: theotrama

value: Show HN: A minimal VPN implementation written in Go

author: theotrama


value: WolfOliver

value: Show HN: I've build a platform for writing technical/scientific documents

author: WolfOliver


value: FunnyGunther

value: Imagine a world where everyone is a CRITICAL THINKER.

value: Show HN: Critical Questioning Tool – Google AI Chrome Extension

author: FunnyGunther


value: techappsdev

value:
We built an AI-driven platform that thinks like a VC. Upload your startup pitch deck, and our specialized AI agents instantly analyze 50+ data points — from market depth, competition, and regulatory risk to innovation strength, team quality, and financial potential.
It’s like having your own AI investment analyst running SWOT, PESTEL, and Porter’s Five Forces — in seconds.
Founders use it to refine decks.
VCs & accelerators use it to shortlist smarter.
Powered by multi-agent LLM architecture, real-time data search, and interactive dashboards.
 Try it at www.gurustartups.com

value: Show HN: LLM Powered Pitch Deck Analysis Using AI Agents

author: techappsdev


value: LarsenCC

value:
Everyone’s chasing AI hype.
I built a Google Sheet and it quietly took off.
In 2020, I made it to track my own finances for income, expenses, savings, yearly summaries etc. I shared it once on Reddit, forgot about it for a year… When I checked back, it had over 130k views and I was honestly stoked!
No launch. No funding. No AI.
Just a spreadsheet people actually stick with and find useful.
I finally gave it a proper home: write-it-down.com
Now, more than 2,300 people use it.
It’s intentionally boring and that’s why it works.
People don’t always need AI. They just need something that actually solves their problem.
This isn’t a billion-dollar startup of course, but it taught me more about building products than almost anything else.
Build something useful.
Solve a real problem.
Even if it’s just a simple spreadsheet.
So, what’s the most “boring” thing you’ve built that found unexpected traction?

value: Show HN: Write It Down – Personal finance tracker

author: LarsenCC


value: ludovicianul

value: Show HN: Turn your OpenAPI spec into negative tests

author: ludovicianul


value: acjm

value:
Hey HN!
I’ve been building ResumeAdapter, an AI-powered resume analyzer that helps job seekers understand why their resume isn’t getting interviews.
You upload your resume and a job description, and it instantly:
Highlights missing keywords and skills & and resumes Format gaps.
Gives an estimated ATS score (how well your resume matches the job)
Suggests improvements to increase interview chances
It’s designed for anyone tired of sending out 100+ applications with no replies.
Would love your feedback on:
The UX (is it fast and intuitive?)
The accuracy of keyword detection
Anything that would make it more useful for developers and tech job seekers
Try it here: https://resumeadapter.com
Built solo, bootstrapped, and live!
Happy to answer questions or share the tech stack if you’re curious.

value: Show HN: I built an App that shows why your resume gets rejected andhow to FIXIT

author: acjm


value:
Hi everyone, I am working on a chat website, with the unique twist that its anonymous and you get to choose chat rooms based on your ip range
For example, if you are on your work vpn, or your office WiFi, you can join your company’s chat.
It’s an experiment to try to replicate “water cooler chat” but online.
Still trying to attract users to it so let me know any ideas or feedback you might have.

value: Show HN: Join anon chat rooms based on your IP info


value: vladoh

value:
Hey HN! I built this free and open-source tool out of frustration with how difficult it is to share vacation photos and pictures of our kids with friends and family. There is no tool that lets me create a shareable web gallery with a great mobile experience, the ability to add detailed descriptions, and no login required.
The CLI tool scans a folder and all sub-folders for photos and videos, generates thumbnails optimized for speed and finally creates a static web site to showcase the photos and tell their story. As the gallery is static, you can easily self-host it on any static hosting provider like Vercel, Netlify, Cloudflare Pages or GitHub Pages. Everything is written in TypeScript that the site is generated with Astro.
Happy about any feedback or questions :)

value: Show HN: Simple Photo Gallery – open-source CLI to create static photo galleries

author: vladoh


value:
Hi HN!
I built a 3D arcade racing game in HTML5 using PlayCanvas.
It features arcade-style physics inspired by OutRun, with PS1/Dreamcast-style graphics. The multiplayer is asynchronous: you race against the “ghosts” (replays) of up to 7 other players, and after finishing a run you can share a link with a friend so they can race your ghost 1v1. The game currently has 20 tracks, plus a “daily challenge” mode with procedurally generated tracks.
We’ve tested it on both desktop and mobile. It supports touch and keyboard controls, though I personally prefer playing with a keyboard in landscape mode. I’d love feedback on the controls, performance, and overall fun factor. And I hope to see your names on the leaderboard!

value: Show HN: Ghost Pro Racing 3D Async Multiplayer Arcade Racing in HTML5


value: asim

value: Show HN: Micro Blog – A Microblogging App with AI

author: asim


value: poppobit

value:
I built PromptTray — a visual prompt manager for organizing and sharing AI prompts.
It lets you build prompts with a simple GUI: create parts, combine them into trays, and reuse or share them easily.
It works with text, image, and even Sora 2 video prompts. I also added a new Sora 2 example to the public Buffet.
I first launched it on Product Hunt and got 0 signups — so I improved the UI, added examples, and rebuilt the site.
It’s free to try, with most features available without payment.
Would love feedback from the HN community.

value: Show HN: PromptTray – Visual AI prompt manager (now supports Sora 2)

author: poppobit


value: Vishon

value:
I’ve always felt that most book recommendation engines are shallow, they either use tags or “people also liked” data. I wanted something that actually understands what you mean when you say “slow burn sci-fi with emotional depth” or “books like Harry Potter.”
So I built FindReads
. It uses GPT to interpret your prompt, queries for books, and returns real titles that fit the vibe.
Stack: Next.js, OpenAI API, MongoDB, deployed on Vercel.
It’s still a work in progress — the results are surprisingly good for some moods, weird for others, but I’d love feedback from the HN crowd on how you’d approach improving it.
Things I’m exploring next:
• Combining embeddings + genre metadata for more consistent results
• Ranking by user upvotes
• Fine-tuning prompts for better diversity in suggestions
You can try it here: https://www.findreads.app
Would love to hear how you’d make something like this more reliable or fast.

value: Show HN: FindReads – I built a site that recommends books by vibe

author: Vishon


value: NabilChiheb

value:
Hey HN,
I’ve been using Claude Code for a while and noticed something odd: even simple tasks burned way more tokens than expected. The model is great, but the token usage isn’t optimized — and since they sell API calls, that’s probably not their top priority.
So I built Nexus, an open-source agentic code assistant you can run right in your terminal. It’s lean, local-first, and 3× cheaper to run than Claude Code for the same workflows.

value: Show HN: Nexus – an open-source code agent that's 3× cheaper than Claude Code

author: NabilChiheb


value: denprog

value:
Hi! I built this online calculator to give people the opportunity to calculate their daily, workers or school calculations in a visual convenient way.
Now it supports:
• Graphical representation of mathematical formulas.
• Calculation results can have any number of digits and accuracy.
• Works with the following types of numbers: real, integer, fractional, complex.
• The measure of an angle can be changed.
• Commonly used mathematical functions and constants are supported.
• User variables and functions are supported.
• Uses units and unit systems and can translate values   between them.
• Automatic recalculation of expressions helps users observe the results of calculations when editing formulas.
• Syntax highlighting.
• A library of examples and visual documentation.
There are desktop versions with the same features.
I'd like to here some critique or other responses. Thanks!

value: Show HN: Yutovo – Visual Online Calculator

author: denprog


value: belluxx

value: Show HN: TransFire – Chat with your local LLMs without port-forwarding

author: belluxx


value: alessandro-a

value:
Hey HN,
Calendar0 is:
- A system tray app that lets you view your calendar instantly without opening a browser
- An AI assistant to manage everything in your calendar using natural language commands
- Smart contact resolution which automatically converts names to emails using Google Workspace and checks all attendees' availability before booking
- One-click meeting access for smart notifications that let you join meetings instantly
I am using Gemini 2.5 Flash for NLP. Built in Electron. Trying to keep it under ~100ms response time for most commands.
It was unexpectedly challenging to parse ambiguous time references ("next Monday" vs "this Monday").
Would love to have your feedback!
Thank you!

value: Show HN: Calendar0 – System tray app for natural language scheduling

author: alessandro-a


value: recmend

value:
Last month I spent three hours looking for YC founders who’d built developer tools. I checked LinkedIn. Scrolled through W21, S21, W22 batch pages. Googled “YC developer tools founders.”
Spent hours and found two relevant people. Ugh.
This happens constantly when you’re trying to connect with the right founders. You know exactly who you need to talk to, you just can’t find them.
So I scraped 7,000+ YC profiles and built semantic search over all of it. Probably overkill but whatever.
Now instead of keyword hunting, you ask:
- “Find people who raised Series A in climate tech”
- “Which YC partners were previously technical founders?”
- “Who are the solo founders that made it through YC?”
- “Show me people who pivoted from marketplace to SaaS”
The search understands meaning, not just words. Ask for “pivots” and it finds people who “changed direction” or “shifted focus.” Ask for “bootstrapped” and it surfaces “self-funded” and “profitable from day one.”
The data updates from public sources like LinkedIn, company pages. It’s not perfect but it’s way better than manual searching.
Perfect for YC applications too. Instead of cold-emailing random “fintech founders,” find the person who built banking tools for small businesses when you’re building payments for restaurants.
Check it out at sena.so/directories/yc-network. Try complex queries - it handles them better than you’d expect. Sometimes it surprises me tbh.
Worth building for other startup communities?

value: Show HN: YC Network Search – Use natural language to find YC people

author: recmend


value: smartermondays

value:
Hi HN
I built The Marketing Digest to solve a simple problem — marketers are drowning in content but starving for clarity.
It’s a short, human-curated email that lands every Monday with 12 of the week’s most important stories across content, SEO, AI, and marketing trends.
Readable in under 3 minutes, no fluff, no filler.
Unlike most newsletters, it’s fully curated by humans, not scraped or automated. The goal: help marketers start the week informed without the doomscroll.
Would love your thoughts — how do you stay on top of marketing shifts without wasting hours?
https://marketers-digest.com/?hn

value: Show HN: The Marketing Digest – A 3-minute weekly update for marketers

author: smartermondays


value: logicallee

value: This game is mandatory training for all employees and contractors.<p>We apologize for the previous version, which incorrectly showed a man intercepting the connection and pretending to be the woman. The man and woman must be actually connected.

value: Show HN: Love Connection (Mandatory)

author: logicallee

title: Show HN: Love Connection (Mandatory)


value: napsy

value: Chimera is a Go desktop browser that scrapes pages into structured data, then renders either via a built-in WebKitGTK template or a local OpenAI-compatible API, offering environment overrides for flexible, AI-assisted browsing.

value: Show HN: Chimera Browser Lets Web Surfers Swap HTML for Live LLM Rewrites

author: napsy


value:
yo! built this analytics thing that actually tracks the stuff that matters - revenue, how ppl use your product, all that good stuff. Not just "oh look 1000 visits today" lol.
Way better than google analytics imo, especially if u actually care about making money from ur product.
What do u think? been using it for my own projects and it's been pretty solid.

value: Show HN: Track revenue and product usage, not just boring visits (Open Source)


value: Show HN: Kent Dybvig's Scheme Machine in 400 Lines of C (Heap-Memory Model)


value: shibaprasadb

value: This web application leverages multimodal LLMs (currently configured to use Gemini) to give business recommendations.<p>I want to do it for more sophisticated ML algorithms too, but first started with simple linear regression.

value: Show HN: Upload data, run regression, get recommendations – powered by LLMs

author: shibaprasadb


value: mixfox

value: Show HN: Convert photo to coloring page and online coloring editor

author: mixfox


value: sachou

value:
Hi everyone,
I’ve been working on Gorbes.io: a small side project that tries to rethink how we measure success.
I’m from France, where people often have mixed feelings (hate rich people to be honest) about wealth. That got me wondering: what if we ranked people not by how much they own, but by how much wealth they’ve created for others?
Instead of ranking by personal net worth (like Forbes), Gorbes measures Distributed Value — the portion of a company’s value held by others because of someone’s work or leadership.
For this first version, I built a Top 10 list of tech builders, using a simple public-data formula:
Distributed Value = Enterprise Value × (1 − Ownership%) × Role Weight
Then I compare that to their personal net worth to show how much wealth they’ve created for others.
It’s still early and experimental — I’d love feedback on:
• whether this approach makes sense
• ideas for better data sources
• or other ways to measure “real impact”
Thanks for reading!
Sacha

value: Show HN: Gorbes – Forbes ranks wealth, Gorbes ranks value created for others

author: sachou


value:
Excited to share a project I’ve been building for months! Would love to receive honest feedback :)
My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong?
The product allows you to connect any LLM to any data source with centralized context (instructions, dbt, code, AGENTS.md, Tableau) and governance. Users can chat with their data to build charts, dashboards, and scheduled reports — all via an agentic, observable loop. With slack integration as well!
* Centralize context management: instructions + external sources (dbt, Tableau, code, AGENTS.md), and self-learning
* Agentic workflows (ReAct loops): reasoning, tool use, reflection
* Generate visuals, dashboards, scheduled reports via chat/commands
* Quality, accuracy, and performance scoring (llm judges) to ensure reliability
* Advanced access & governance: RBAC, SSO/OIDC, audit logs, rule enforcement
* Deploy in your environment (Docker, Kubernetes, VPC) — full control over infrastructure
GitHub: github.com/bagofwords1/bagofwords
Docs / architecture / quickstart: docs.bagofwords.com

value: Show HN: I built an open-source AI data layer that connects any LLM to any data


value: fcjr

value: Show HN: Local AI-powered subtitle generation, translation and embedding

author: fcjr


value: pranithvp

value:
Hey HN,
My friend and I built a Chrome extension called Pigeon because we kept Googling “Reddit + [product name]” whenever we wanted to know what real people thought about something.
Pigeon saves that step by looking at what’s on the page, finding related Reddit discussions, and showing the most helpful comments and opinions in one place.
We’ve both found it super useful when researching products or topics online and thought others might too.
Check it out and let me know what you think!

value: Show HN: Pigeon – See what Reddit says about what you're reading or shopping for

author: pranithvp


value: alessandro-a

value:
Hey HN!
I built SemanticTest while working on calendar0.app (an AI calendar assistant).
While I was building the AI assistant, I noticed a lack on good AI Evals frameworks that would help me test my agent.
SemanticTest uses GPT-4 as a judge to evaluate:
- Text responses (semantic meaning)
- Tool calls (correct tools, right order)
- Multi-turn conversations
It's composable: you build tests as JSON pipelines using custom blocks.
Would love feedback.
Thank you!

value: Show HN: Open-source testing framework for AI agents with semantic validation


value: skrid

value:
Hey HN,
I built 11 SaaS projects in 6 months. Made $45 total.
Along the way, I spent hundreds of hours scrolling through job boards with "competitive salaries" (below market), "entry-level" positions requiring 5 years experience, and "remote" jobs with timezone asterisks.
So I made this: a weekly newsletter with 10-15 remote software engineering jobs + top 5 tech news stories.
What makes it different:
- Actually curated (not 500 random jobs)
- Salary transparency (listed or estimated via Glassdoor/levels.fyi)
- Honest commentary (I call out red flags publicly)
- Remote-only (no "remote" nonsense)
Check out the first edition (no signup required) and tell me what you think:
https://gettingcodedone.com/archive/1
Launched last Sunday. Would love your feedback

value: Show HN: Getting Code Done – Weekly newsletter of remote dev jobs that dont suck

author: skrid


value: timz

value:
Ever open your terminal and think: "man, this is boring"?
Meet Mootivator, a CLI tool to print geek jokes in cowsay style.
GoTo https://github.com/tzador/mootivator, follow the easy install instructions, and enjoy.
Here is one:

     ------------------------------
    ( The future of software isn’t )
    ( no-code, it’s new-code.      )
     ------------------------------
           \
            \    \__/
             \   (oO)_________
              \ (_.._)        )\
               \_ U  ||---w-||  *
                    _||    _||
    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

You get a random programming joke, debugging wisdom, or dev-friendly saying from a collection of 4,939 quotes across 42 categories (debugging humor, DevOps quips, language wars, security jokes, etc.).
But of course those all have generated by LLM,
with a bit of forced prompting to get better jokes
(self rating and picking the top).
I hope it puts smile on your face, even just for a little bit )))

value: Show HN: Mootivator – Let your Terminal cowsay you a Geek Joke on starup

author: timz


value:
It uses claude code with GLM-6 model which is cheap yet powerful for most of the cases.
for deployment Cloudflare Workers.
It is a 2 weeks of hard work! Lemme know what you think!

value: Show HN: Open-Source Lovable Alternative


value: soelost

value:
I have 4 credit cards and kept guessing wrong about which one was “safe” to use. The issue: I was only tracking current balance/utilization, not statement closing dates.
Your balance gets reported to credit bureaus when your statement closes — not when you pay. So even though I pay in full every month, I was spiking my utilization without realizing it.
I built WhichCard to fix that. It shows:
Available spend under 30% on each card
Days until each statement closes
Red / yellow / green indicators for quick decisions
Example:
Chase shows $450 available but closes in 3 days →  Don’t use.
Capital One shows $890 available and just closed yesterday →  Safe.
Timing turned out to matter more than I expected.

value: Show HN: Use the right credit card every time

author: soelost


value: Show HN: Sidefy – Screen-edge timeline event aggregator for macOS


value: jeswin

value: Show HN: TinqerJS– LINQ-inspired QueryBuilder for TypeScript + Postgres/SQLite

author: jeswin


value: Show HN: I'm building a browser for reverse engineers


value: codybontecou

value:
What it is: Voicescri.pt lets you build apps hands-free in the browser. Speak tasks like “scaffold a Nuxt app with Supabase auth” or “open a PR fixing X,” and the agent does it.
How it works (high level): a realtime voice agent builds out Github Issues with "@claude" appended; Claude Code’s GitHub Action executes coding tasks headlessly in the cloud, creating a PR that our voice agent can then merge back in or continue iterating on.
Why I built it:
I live and work from an RV. I have a ton of free-time while driving and wanted a way to prototype and write code without a keyboard.
What’s different: Entirely client-side app with bring-your-own-key support Free tier: 5 conversations/day; one-time payment unlocks unlimited conversations.
Looking for feedback on: latency, failure modes, the prompts you’d want pre-baked, and tools you'd like integrated.
Link: https://www.voicescri.pt
Demo: https://www.youtube.com/watch?v=vUGgWjYQGIE
Happy to answer questions!
p.s. The first 90 customers can use the LAUNCH90 coupon for 90% off.

value: Show HN: Voicescri.pt – generate code hands-free with voice agents (BYOK)

author: codybontecou


value:
I built runCLAUDErun because I got tired of manually running the same Claude Code tasks every day.
It's free and it runs locally.
What it does: It's a macOS app that schedules your local Claude Code to run on any schedule you want - daily, weekly, or custom cron expressions.
My use case: Every night at 11pm, it automatically summarizes my Obsidian daily notes.
But, it can schedule any Claude task - code reviews, data processing, report generation, web research, file organization, etc...
Technical details:
  - Native macOS app (Electron + React)
  - Uses launchd for scheduling (proper macOS citizen)
  - Stores tasks/runs locally in SQLite
  - Wraps the claude CLI to capture output and track runs
  - 100% local - no servers, no accounts required
Why not just use cron or launchd? You could! But this gives you:
  - GUI for managing tasks
  - History of all runs with output
  - No terminal/cron knowledge needed
  - Easy enable/disable of tasks
It's free and open source. Would love people to try it, test it, and give me feedback.
Get it here: https://runclauderun.com
--
What use cases do you have for repetitive AI tasks?

value: Show HN: runCLAUDErun – Scheduler for Claude Code


value: Princesseuh

value:
Hello!
Maudit is a library (not a framework) to build static websites. What this means is that a Maudit website is a normal Rust project, pages are normal Rust structs and so on.
There's a built-in function one can use that will do pages -> HTML as expected, or one can run quite literally `SomePage.build()` to build a single page.
While there are some obvious downsides in complexity on the user side, I'm hoping that this model allows people to grow past some of the limitations that traditional SSG frameworks have, where it can be hard sometimes to customise certain aspects.
It's still super early, but feedback is extremely welcome. Hope you'll like it!

value: Show HN: Maudit, a Rust library to build static websites

author: Princesseuh


value: joezee

value: Show HN: Turn Text Prompts into Complete Figma Designs

author: joezee


value:
I made Stat. A social platform centered around polls.
What it offers:
Create polls with instant feedback
Filter results by demographics (age, gender, country, etc.)
Add a short blog-style post to each poll
Question and discuss surprising or funny results
Visualize opinions with clean charts
Most survey tools feel too heavy for quick insights. I wanted something lightweight and social, where opinions can be explored and compared in real time.
Curious how you’d use a platform like this (research, blogging, product testing, casual fun)?
What features would make it engaging without turning it into just another social network?

value: Show HN: Stat – a social platform where everything is a poll


value: soelost

value:
My mom in California has her London cousin's number saved twice in her phone. She doesn't know which has the right codes. When her uncle in Ethiopia asked for it, the number didn't work.
So I built this: paste any phone number format (with or without country codes, exit codes, +, etc.) and it auto-detects:
- Which country the number belongs to
- Your current location via IP
- Strips all existing codes
- Reformats it correctly for you
- Also outputs Full CRM Metadata
Example:
Paste "020 7946 0958" or "+44 20 7946 0958"
→ Get "00 44 20 7946 0958" (if calling from Ethiopia)
Live: https://callint.info
Built this a few nights ago. Will add CSV bulk import if there's interest. Feedback welcome!

value: Show HN: Phone formatter I built for my mom to call home


value:
Hey HN! I built this over a weekend after a frustrating experience with our wedding photographer.
We paid $5,000 and got back a few dozen photos. The colors were off in several shots – too warm, inconsistent lighting, some faces looked washed out. I wanted to fix them myself, but photo editing is incredibly complicated. Photoshop has hundreds of buttons, layers, masks, adjustment curves. I spent hours watching YouTube tutorials just to adjust colors on one photo. There had to be a better way.
So I built Photowand.
What it does:
Upload any photo, describe what you want in plain English, and get professional-quality results in ~20 seconds. "Fix the colors and lighting" or "change background to beach sunset" or "make this look like a professional headshot." No Photoshop skills needed.
Try it without signup: photowand.ai
How it compares to existing AI tools:
vs ChatGPT:
- Better photorealistic quality (specialized model, not general-purpose)
- 4x faster processing (20 seconds vs 80+ seconds)
- Bulk generation (create 50 variations simultaneously)
- Iterative editing (make changes to existing photos, not just one-shot generation)
vs Gemini:
- No watermarks on any images
- Faster generation (20 seconds vs 40+ seconds)
- Simpler interface (just describe what you want)
- Commercial licensing included
Technical approach:
Custom diffusion models optimized for photorealistic photography. I trained specifically on professional photo datasets (headshots, products, real estate, food) rather than general internet images.
Key features:
- Natural language editing ("fix the lighting" instead of adjusting curves)
- Consistency across batches (same person in multiple poses)
- 400+ photo pack templates (LinkedIn headshots, product photos, etc.)
- Unlimited revisions (describe changes, apply instantly)
What happened after I launched:
- Now processing 500k+ photos daily
- People using it globally in more than 180 countries
- Turns out lots of people have the same problem (photographers cost $500-$5,000)
Where it still fails:
- Wedding photography (emotional timing requires human intuition)
- Complex hand interactions (I flag ~5% for manual review)
- Extreme artistic vision (brand-specific creative direction)
- Events requiring physical presence
The irony: I made this to fix my wedding photos. Now people mostly use it for business photography (LinkedIn headshots, product catalogs, real estate listings).
Tech stack: Custom diffusion models, Next.js, R2 storage, Cloudflare
Try the demo: photowand.ai (no signup required)
I'm here all day to answer questions about the architecture, training approach, or where AI photography still needs humans.
What would make this more useful for you?

value: Show HN: Photowand – Turn selfies into professional photos with AI


value: jvkoch

value:
I built this website to host a data-driven model of my coffee sample roaster.
I realized after 20 or so batches on the machine that while the controls are intuitive (heat, fan, and drum speeds), the physics can be unintuitive. I wanted to use my historical roast data to create and tune a model that I could use to do roast planning, control, and to help me build my own intuition for roasting. This website lets you interact with my roaster in a virtual, risk-free setting!
The models are custom Machine Learning modules that honor roaster physics and bean physics (this is not GPT/transformer-based). Buncha math.
The models are trained on about a dozen real roasts. The default bean model is an Ethiopian Guji bean.
My next steps are to add other roasters and the ability to practice control/reference tracking.

value: Show HN: A Digital Twin of my coffee roaster that runs in the browser

author: jvkoch


value: jazzrobot

value:
I made pythonexercise.com as a simple way to practice Python with short exercises you can solve right in the browser.
It's still a work in progress, I’d love feedback on what to improve or add.
Thanks!

value: Show HN: PythonExercise, Practice Python with short, interactive challenges

author: jazzrobot