value: docsorb

value:
Hi HN,
I built DocsOrb to solve a simple but stressful problem (and my own problem too since many years!): keeping track of important documents like passports, rental contracts, and insurance papers. Too often they're scattered across folders, emails, or piles at home... and you only realize it when you urgently need them.
DocsOrb helps you:
> Scan documents with auto-crop and enhancements (mobile camera or file upload)
> Organize them around life's "moments" (travel, housing, insurance, etc.)
> Search quickly using Key Information
> AI extracts Key Information so the most important details are always at your fingertips
> Export or share in one tap
> AI Bulk organize: load up multiple images from your Photos to automatically organize them as documents, put them in the right folders, extract Key Information and also suggest a recommended name and description.
Everything stays on your device by default, with optional cloud backup if you want it. Privacy-first, so you're always in control.
Tech-wise: it's built with Nuxt + Capacitor, Supabase for structured storage, and a custom scanning flow (to avoid pricey SDK lock-ins).
I'd love your feedback:
> Does this flow make sense to you?
> What's missing in how you manage important documents?
> Any suggestions before I go full blast on Marketing?

value: Show HN: Stop saving your scans on 3rd party servers

author: docsorb


value: DavisGrainger

value:
Running ads online takes too much time. The problem isn’t strategy, it’s the grind. Most of it is mechanical: setting up campaigns, testing copy, adjusting audiences. That work adds up to hours every week, and it doesn’t make you a better marketer.
I built ZuckerBot to strip out that mechanical layer.
What it does:
 • writes ad copy and creative in minutes
 • launches campaigns straight into Ads Manager without templates or manual setup
 • adjusts targeting and creative once the campaign is running
Why it matters:
other tools give dashboards or templates but still make you finish the work inside Ads Manager. This runs the campaigns end to end
Where it’s at:
 • 150 users, 20 paying
 • Too early for meaningful churn data, but engagement has been sticky
 • Growth has been organic from Reddit, Facebook groups and word of mouth
 • Built on supabase and OpenAI with a multi agent pipeline. Right now it slows down if campaigns exceed around 50 ad sets, and I’d like advice on infra solutions for that
What I’m looking for:
 • Feedback on the UX. What feels broken or confusing?
 • Input on scaling past current technical limits
 • A gut check on whether this solves a real pain or just looks like another wrapper
I know ads aren’t loved.
Small businesses rely on ads. If running them is too complex, they waste money or give up. I’m trying to make it simple enough that they can focus on strategy instead of setup.
www.zuckerbot.ai

value: Show HN: ZuckerBot – I built to run my Facebook ads (150 users, early traction)

author: DavisGrainger


value:
We built a free browser tool for the wplace.live community that converts any image into pixel-perfect art using Wplace’s official 64-color palette.
Features
Exact color matching with Wplace’s palette (from lospec)
Highlights free vs paid pixels (Wplace has tiered pricing)
Real-time preview with grid overlays
Floyd–Steinberg dithering for smoother gradients
All processing is local – no uploads, no tracking
Why we made it Wplace is a collaborative pixel canvas, but placing art manually is slow and error-prone. This tool helps creators preview, plan, and optimize their art before placing it on the canvas.
Built with vanilla JS + canvas. No backend. Try it: https://wplacepixelart.com Feedback welcome!

value: Show HN: Wplace Pixel Art – Convert Images to Wplace-Compatible Pixel Art


value: moonmagick

value: Show HN: Port of SWE-Agent to TypeScript

author: moonmagick


value: aposded

value: (did my best with the data that is available online)

value: Show HN: I estimated the carbon impact of different LLMs

author: aposded


value: mohdejaz

value:
I built this because I didn't want to upload personal documents to random websites just to split or sign a PDF.
So I made PDF Barber (https://pdfbarber.com). Everything runs 100% in the browser, with no server involved. The only server call is for the contact form.
It is free to use, and I also offer a Chrome extension for convenience. I have already gotten a few paying users and lots of helpful feedback, which has pushed me to improve it further.
Would love to hear your thoughts or feedback.
Thanks!

value: Show HN: PDF Barber – Edit PDFs in the browser, no uploads, full privacy

author: mohdejaz


value:
Hi HN,
To truly understand how operating systems and network protocols work, I decided to combine two classic learning tools: the xv6 teaching OS and a from-scratch TCP/IP stack.
I'm excited to share the result: my own from-scratch TCP/IP networking stack running directly inside the xv6-riscv (https://github.com/pandax381/xv6-riscv-net) kernel.
The project uses a modern virtio-net driver, allowing it to run seamlessly in QEMU and communicate with the host machine.
Key features:
- From-Scratch Stack: The core is powered by microps (https://github.com/pandax381/microps), a TCP/IP stack I originally wrote to run in user-space as a personal project to learn the low-level details of networking.
- Kernel Integration: This project ports microps from user-space into the xv6-riscv kernel.
- Socket API: Implements standard system calls (socket, bind, accept, etc.) to enable network application development.
- User-level Tools: Comes with a simple ifconfig command, plus tcpecho and udpecho servers to demonstrate its capabilities.
This has been a fantastic learning experience. My goal was to demystify the magic behind network-aware operating systems by building the components myself.
I'd love to hear your feedback and answer any questions!

value: Show HN: I integrated my from-scratch TCP/IP stack into the xv6-riscv OS


value: clark-kent

value:
A big part of the workflow of investors in individual stocks is doing research and due diligence on companies. Without proper and thorough due diligence an investor may be flying blind in their investment decisions. Due diligence is so time consuming and tedious, many investors don't do it.
Doing due diligence involves reading a lot of documents (10Ks, 10Qs, 8Ks, earnings call transcripts, etc.) and analyzing years of financial statements. You also need to research key executives - their biographies, compensation, tenure, etc. Analyzing this amount of information leaves room for missing key information.
The AI Agents follow the best practices for a thorough and comprehensive due diligence on stocks. You can also set the agents to repeat this on a recurring basis like every week or month. Great for monitoring a stock you are looking for an opportunity to buy or a stock you already own.
See full details on the blog post here: https://decodeinvesting.com/automated_due_diligence_and_stoc...
You can try out the agents here: https://agents.decodeinvesting.com/

value: Show HN: I built AI Agents that automate comprehensive due diligence on stocks

author: clark-kent


value: nivedit-jain

value:
ExosphereHost 0.0.1, first stable release
A few months ago this was a sketch. Today we shipped 0.0.1.
The goal is simple. Make it easy for developers to build reliable, planet scale agent workflows without reinventing infra.
Highlights:
• Write agents in clean Python
• Let execution branch at runtime with dynamic DAGs
• Track every step with a durable state manager
• Use built in retries, parallelism, fanout, and joins
• Visualize the execution tree
• Push the same graph from dev to production
If you are exploring agents that plan, adapt, and complete work across huge datasets, I think you will like this release. I would love if you try it. DMs open for feedback and early design partners.
As an example, we built WhatPeopleWant, an open source agent that analyzes Hacker News to surface validated problems for hackers.
Built for devs by devs
Some quick links:
1 - Repo: https://github.com/exospherehost/exospherehost
2 - Docs: https://docs.exosphere.host/
3 - Example Repository: https://github.com/NiveditJain/WhatPeopleWant

value: Show HN: Platform to run agents on scale, first stable release

author: nivedit-jain


value: utluna

value: A portfolio analysis tool that helps active investors deeply understand what drives their performance and risk exposure. It can be connected with Interactive Brokers to have your data automatically updated.

value: Show HN: Built a tool to analyze the performance and risk of your IBKR portfolio

author: utluna


value: osfield

value:
I'm plugging my stuff, but I think the story behind it is equally interesting:
I recently fell into the usual indie hacker/solo dev trap: write a lot of code, don’t really work on marketing. The illusion of productivity is actually crazy when you think about it.
That led me to try out no-code and low-code tools. Eventually, I settled for n8n. It’s a great compromise when it comes to prototyping. I ended up creating a bunch of scripts that helped me improve my programmatic SEO skills, taught me how to use AI agents and other nice stuff. It turns out you don’t need to write lots of code to do simple stuff. Among others, I created an n8n workflow to quickly retrieve publicly available phone numbers to reach out to my customers. Lots of signups! Feels great, doesn’t it?
But running that workflow is great when done locally, but I needed to call it from other places, moved my n8n instance to DigitalOcean, and that’s when problems began. It consumes a sht amount of RAM, and my DO instance would just crash all the time unless I increase the RAM size, which would defeat the purpose of quick dirt cheap prototyping (I think I was supposed to pay around 50 or 60 bucks per month or so). Did a LOT of optimization, but the cost was still too high to justify the use I made of it.
Guess what I did? Yep. Simply wrote the code for it using Next.js API routes and hosted it on Vercel. Much easier, even faster. From there, I added a quick interface, and I was ready to go. That’s when I realised that I created a whole new web app without even thinking about it.
I was simply experimenting with things I didn’t know much about, and one thing led to the other. I have something that’s pretty much usable. I can easily get most emails from any domain, verify them, and even make personalised cold emails. I actually launched it recently, and I’m quite happy with it.
I think the “beginner’s mind” thing is real: you don’t judge yourself or stop yourself when you don’t know much about something. You just go ahead and do it because you don’t even know what failure looks like.
EmailFast is a fast, (much more) affordable tool to find the emails of your local businesses specifically. Scrape publicly available emails from any domain, search businesses in any niche and location. You can upload lists, run bulk searches, generate highly personalized cold emails and get results in seconds. I target any niche that needs to get in touch with local businesses for custom services: web designers, agencies and more. This is, imo, what makes it just slightly different and special.
I don't do the email sending (yet?) because I can't pretend I can do it better than other available options. I'd rather add a way to send emails with those options. They come with many more options than I can offer at the moment.
Very much open to feedback, feel free to roast me, and thanks for taking the time to read all this long as text!

value: Show HN: EmailFast, find emails and get personalized cold emails

author: osfield


value: onescales

value:
Built a tool that scrapes thousands of web pages based on Apify's platform and lets you ask AI questions about all of them at once.
Use OpenAI Api Key → Give it URLs → Ask a question → Get AI answers for every page.
Uses Jina.ai to clean up the HTML/PDFs and convert to markdown, then OpenAI to analyze the content.

value: Show HN: AI-32: Crawl URLs and Ask AI About the Content

author: onescales


value: radoslaw-sz

value:
I've been working on Maia, an open-source testing framework specifically designed for multi-AI agent systems. With AI deployments becoming more complex and interconnected, traditional testing approaches often fall short when dealing with agent interactions, emergent behaviors, and system-wide reliability.
Maia addresses this by providing:
- Multi-agent interaction testing
- Behavior validation across agent sessions
- Assertions of messages
- External tools testing
- Dashboard for visualization and debugging
The framework is designed to catch issues before they reach production - things like agent coordination failures, unexpected emergent behaviors, or performance bottlenecks that only appear when multiple AI components interact.
Would love to get feedback from the HN community, especially from folks dealing with similar challenges in production AI systems.
Github: https://github.com/radoslaw-sz/maia

value: Show HN: Maia – Open-source framework for testing AI systems before deployment

author: radoslaw-sz


value: mondov

value:
Hey guys!
I don’t like writing blogs, but I like having relevant blog posts for my projects, which helps SEO.
That’s why I built this tool for myself to easily generate and download blog articles. It can also suggest blog post topics, which you can reject and it won’t suggest similar ones in the future.

value: Show HN: I built a blog generator that learns your preferences

author: mondov


value: swelzh

value:
Hi HN — we’re the team behind Lumi (lumi.new). Lumi is an all-in-one platform to build and launch websites or lightweight apps simply by chatting—no code needed to write, no external services needed to integrate. We’re a 10+ person team.
What’s UNIQUE:
ANYWHERE: Multi-country language support out of the box (create & maintain multiple locales in one project)
ANYONE: With built-in Database + Sign-In + more internal tools coming soon, anyone can achieve anything without technical stuff being barriers
ANYTIME：No waiting list! Works right now to bulid CRM system, e-commerce portal, photo - sharing platform and more
In DEVELOPMENT: email sending, file storage, Stripe payments, and more!
Closest analogy is Base44, but Lumi is leaning into i18n + bundled DB/auth so founders can go live in multiple markets without extra setup. And Lumi performs far better in achieving more stunning page effects and handling more complex logic.
We’d love feedback on the localization workflow, DB/auth defaults, and what else would make Lumi more useful on day 0.
(Disclosure: creators here, happy to answer questions!)

value: Show HN: Lumi – AI apps and websites builder (base44/lovable alternative)

author: swelzh


value: Show HN: Turn Markdown into React/Svelte/Vue UI at runtime, zero build step


value:
This app is inspired by wplace.
I really liked the idea of drawing on world map, it gives a new fun way to communicate with other people.
So I thought I should make a chat-like app on world map, so that people can discuss things in the context of the location so I made this.
Here is how it works:
1. You log in using your google account (there’s no other way atm)
2. Then you can either click on random button to go to a random chat on the map or click on the map to create a new one.
3. Chats (or should I say threads?) only live for 7 days after that, they will get deleted.
I want to make this platform fun but I'm not sure if this concept will be fun for others.
Currently this website is very basic in terms of functionality but I’m planning to add new features in future.
I'm looking for suggestions and feedback from you guys.

value: Show HN: GlobeChat – Chat App on world map


value: jensneuse

value: Show HN: Cosmo Connect combines the strengths of GraphQL and gRPC

author: jensneuse


value: openfluke

value: Show HN: Paragon: A Go-native AI framework with WebGPU/Vulkan (no CUDA lock-in)

author: openfluke


value: rkendel

value: Show HN: ID8 – A scratchpad that tells you what not to build

author: rkendel


value: lenvl

value: Find Reddit discussions, where your product fits naturally

value: Show HN: Automatic Lead Generation for Reddit

author: lenvl


value: kelbs

value:
I made a job board for software engineers.
When I did my last job search in 2022, linkedin gave me > 100k results from a "remote senior software engineer" query, and there weren't good filters to narrow the results down. Other sites were too niche.
It's tough to start a job board from scratch. It's the chicken and egg problem for two sided marketplaces: no jobs, which means no traffic, which means no one wants to post jobs, etc. I decided to aggregate from some other sites to start (allowed via their terms).
Let me know what you think! Will answer any question.

value: Show HN: Softwarejobs.com, a job board for software engineers

author: kelbs


value: dbvitapps

value:
Hey HN,
I've spent the last several months working on a new approach to document data extraction and I'm excited to share it today.
It’s called Ninjadoc AI, a platform where you can extract structured data from documents by asking questions.
The workflow is simple:
Build a schema visually: You upload a document and ask questions like, "What's the total amount?" or "Who is the customer?" to define the fields you want to extract.
Use the API: You get a processor_id for that schema. Then you can POST any similar document (e.g., another invoice) along with the processor_id to our REST API.
The key feature is that the API returns a clean JSON with the extracted values, and for every value, it includes the exact bounding box coordinates from the original document. This gives you verifiable proof of where the data came from.
This is designed to replace brittle template-based OCR that breaks with layout changes, and generic LLMs that don't provide verifiable coordinates.
It's built for developers who need to automate extraction from things like invoices, contracts, IDs, etc.
The site is live now at https://ninjadoc.ai. There are 1,250 free credits to start, which is enough to process a good number of documents.
I'm here to answer any questions and would love to hear your feedback!
You can also find it on producthunt: https://www.producthunt.com/products/ninjadoc-ai?launch=ninj...

value: Show HN: I built a Document Q&A API that returns coordinates for every answer

author: dbvitapps


value: zham-dev

value:
I built Nyx because I was stuck in the late-night doomscroll loop — telling myself “just one more thing” at midnight and then being wide awake at 1:30am.
The idea was to create something boring on purpose that helps me wind down without dragging me back into my phone. Nyx is a little AI sleep assistant that:
• Guides simple routines (breathing, short bedtime stories, white/brown noise)
• Has a calming voice mode so I can put the phone face-down and just talk to it
• Learns what actually helps me fall asleep and adapts over time
• Keeps the interface dark, minimal, and low-stimulation (big text, no feeds, no animations)
It’s not a miracle cure, but it’s been helping me fall asleep faster and avoid the “one more scroll” trap.
I’d love feedback from the HN community:
• Would you use an AI companion like this at bedtime, or is it too much tech in the bedroom?
• What routines or tools have you tried that actually improved your sleep?

value: Show HN: Nyx – an AI sleep assistant to stop doomscrolling

author: zham-dev


value: berndtzl

value:
Hi HN, I'm the creator of Hound, an open-source tool that uses AI agents to hunt for deep logic bugs in codebases. It works by building knowledge graphs of the code, spawning agent teams to generate and refine hypotheses, and simulating expert auditing processes. In tests, it replicated 10/30 findings from a real audit contest. It's language-agnostic and runs locally via CLI.
More details and examples in my blog post:
https://muellerberndt.medium.com/unleashing-the-hound-how-ai...
Excited to hear what you think!

value: Show HN: Hound – AI agents that find deep logic bugs in codebases

author: berndtzl


value:
Hi HN, I’m Patrick. Elias, Kevin, and I are building Sideko (https://sideko.dev), a new type of code generator for building and maintaining API client SDKs from OpenAPI specs.
Traditional SDK generators rely on static templates that produce rigid, machine-generated code. When the API changes, these generators completely overwrite the SDK, destroying any custom modifications developers have made. The result is brittle code that looks artificial and requires constant manual rework.
Our approach uses structured pattern matching queries instead of templates. These queries analyze the existing codebase to understand its structure and intent, then make small updates while preserving custom changes. When we regenerate code, the system recognizes what developers have modified and works around those changes rather than overwriting them.
The pattern matching enables our hybrid workflow where deterministic codegen establishes the foundation, LLMs enhance specific components, and the system maintains both the automatically generated and the human-modified code.
Our Hybrid SDK Generation Approach
Workflow: Our system starts with deterministic codegen that generates the base SDK structure, then uses LLMs to enhance specific components where adaptability adds measurable value, while agent rules enforce consistency through type checking and integration tests against mock servers.
Summary: The key advantage is that LLM edits are retained across code regenerations while the deterministic code stays automatically synced with API changes. Language-specific rules for Python and TypeScript guide both LLM modifications and testing to ensure quality and consistency throughout the development cycle.
You can quickly try it out from your terminal:

  Install: npm install -g @sideko/cli

  Login: sideko login

  Initialize: sideko sdk init

  Prompt: “Add a new function that…”

Repo is here: https://github.com/Sideko-Inc/sideko
We’d love to hear your thoughts!

value: Show HN: Sideko – Hybrid deterministic/LLM generator for API SDKs and docs


value: rmqyeby

value:
I built a browser‑only image toolkit:
Target size (KB) compression (binary search)
Resize longest/exact; JPEG/WebP/PNG
Batch + ZIP; rename rules
Redaction with solid/pixelate; EXIF/GPS removed
It’s open‑source (AGPL‑3.0) and works offline (PWA).
Live: https://pixcloak.com/compress
Redaction: https://pixcloak.com/redact
Repo: https://github.com/LeeJinMing/PixCloak
Would love feedback on quality vs speed, large files, and presets.

value: Show HN: PixCloak – Local image compression and redaction (no upload, OSS)

author: rmqyeby


value: niallb

value: Show HN: Alertee.io – Catch data issues early with SQL-based checks

author: niallb


value: jimhi

value: Show HN: Get the attention of sales prospects by eating a photo of their face

author: jimhi


value: rajatkap

value:
I built Onepard that makes any kind of content instantly interactive.
Paste your content (docs, notes, FAQs)
Share the link
People can ask it questions in a chat interface
Why? Most content just sits unread - docs, FAQs, notes. I wanted a way to make it usable in seconds without setup or code.
Demo: https://demo.onepard.com/
Right now it’s very MVP - free tier with limits, paid tiers for higher usage.
I’d love your feedback: Who do you think this is most useful for? What’s missing that would make it worth paying for? Any sharp edges in the UX?
Thanks

value: Show HN: Onepard – turn your content into an AI chat page in 2 minutes

author: rajatkap


value: tb-admin

value:
Hi HN,
I built Titan Breach (https://platform.titanbreach.com) to solve the pain of juggling multiple tools for cybersecurity intelligence. It’s an AI-powered toolkit that unifies URL phishing detection, IP infrastructure mapping, typo-domain/DNS monitoring, ransomware insights, and website availability checks.
Why I built this:
As a security researcher, I was frustrated by switching between disjointed tools to track emerging threats. I wanted a single platform that delivers fast, cohesive intel using AI.
What it does:
- Detects phishing via URL scoring and social-engineering pattern analysis.
- Maps infrastructure with port scans, fingerprinting, and visualizations.
- Tracks typo-squatted domains and suspicious DNS registrations.
- Monitors DNS for anomalies and takeover risks.
- Aggregates ransomware intel from public leaks and threat group trends.
- Verifies website availability with multi-technique checks.
Tech stack:
Built with Next.js for server-side rendering, Python for backend logic, Elasticsearch for indexing, MongoDB for storage, and LLMs for analyzing patterns (e.g., phishing intent from URL structures).
Caveats:
- It’s an MVP—some features are limited, but the free tier requires no signup.
- Stable for now, but heavy traffic might stress it. I’m ready to scale if needed.
I’d love help with:
- UX: Is the dashboard intuitive? Any clunky workflows?
- Features: What needs more polish—phishing detection, visualizations, or something else?
- Bugs: Notice any glitches or inconsistencies? Just let me know.
Thanks for checking it out.
Happy to answer questions or hear what you'd like to see next!

value: Show HN: Titan Breach – AI-driven cybersecurity platform

author: tb-admin


value: Show HN: I built Waisy, an AI Notepad for music artists, helping thousands


value:
Hi HN,
I want to share a story that might resonate with anyone who has tried to launch an open-source project from zero visibility, zero budget, zero network.
Seventy days ago I created a repo called WFGY. I had no prior followers, no launch partners, no ads. Today, it’s at 800 stars and counting. Pure cold start.
The “secret”? Not marketing. Not tricks. It was building a Problem Map.
---
####  What is a Problem Map?
Instead of claiming my system “improves reasoning” or “solves RAG bugs,” I wrote down 16 concrete failure modes engineers hit every day:
* Embedding drift (semantic ≠ vector closeness)
* Chunking collapse (half-sentence vs full chapter granularity mismatch)
* Versioning hallucinations (index v1 + v2 = ghost hybrid doc)
* Pre-deployment ingestion collapse
* Prompt injection bypasses
* … and 10 more, all documented.
For each one I built a text-only “semantic firewall” module that fixes the issue without changing infra. Developers could see their exact bug listed, mapped, and patched.
This gave the repo two things:
1. Immediate empathy — engineers recognized their pain points word-for-word.
2. Immediate usability — they could paste my TXT file, keep infra untouched, and the model stabilized.
---
####  Why it mattered
* It wasn’t a claim, it was a diagnostic mirror.
* People didn’t need to “believe” me — they could try the TXT in 60 seconds and watch bugs stop replicating.
* Instead of selling “AI magic,” I showed a surgical checklist.
This is why strangers starred the repo. It wasn’t hype; it was problem → fix → proof.
---
####  What’s next
I’m now scaling this into something bigger:
* The Problem Map will evolve into a Global Semantic Surgery Room — think of it like an AI hospital’s operating theater.
* Engineers bring in failure logs (RAG, OCR, planning drift).
* The system triages, diagnoses, and applies the right semantic patch in real time.
* Integrations are underway for n8n, Make, GoHighLevel and more — all unified under the same open Problem Map.
Launch target: September 1.
### Closing
I don’t see this as “my repo got stars.” I see it as proof that open source thrives when you solve pain with surgical precision.
If you’ve ever tried to cold start, my suggestion: don’t sell a dream, map a nightmare. Engineers don’t trust hype — they trust a checklist that fixes the crash.
Coming next: the Semantic Surgery Room and Global Fix Map (n8n, GHL, Make and more). Launching by Sep 1.

value: Show HN: 70 Days → 800 GitHub Stars (Cold Start) – My Secret Was a Problem Map


value: Show HN: I built a trading agent that trades small/mid-cap stocks via Alpaca


value: marcobambini

value:
We’ve just released an open-source project called sqlite-extensions-guide (https://github.com/sqliteai/sqlite-extensions-guide), and we’re looking for contributors.
The goal is simple: become the go-to documentation on how to load and use SQLite extensions across different languages, frameworks, and operating systems.
SQLite is everywhere, and extensions unlock a huge amount of power (custom functions, new data types, vector search, cryptography, etc.). But figuring out how to actually load them varies a lot depending on your environment — C, Python, Go, Node.js, iOS, Android, Linux, Windows, macOS, each has its own quirks.
We’ve already added working examples and OS-specific instructions, but there’s a long way to go. We’d love contributions from developers.

value: Show HN: SQLite Extensions Guide

author: marcobambini

title: Show HN: SQLite Extensions Guide


value:
Hi Hacker News,
I’m David, and I built *Reddimon* because I kept wasting time guessing which marketing channels actually bring users.
Reddimon lets you create *custom links* for tweets, Reddit posts, or comments, then instantly see which ones bring visitors or signups. You can group links into collections (e.g., “Reddit posts” or “Twitter DMs”) to track performance across campaigns.
It’s lightweight, fast, and designed for solo founders or early-stage startups. I’d love to hear:
- Does this approach make sense for tracking early growth?
- Are there features you’d find essential in this kind of tool?
Check it out here: [www.reddimon.com](https://www.reddimon.com)

value: Show HN: I built Reddimon to track link conversions instantly


value: abdrehman

value: Show HN: A concept for a productivity OS using LXC for client isolation

author: abdrehman


value: MykhailoZ

value: Show HN: Deploy a Spring Boot App to AWS in 3 Minutes (Terraform and Lambda)

author: MykhailoZ


value:
I built a web app that turns “lateral thinking puzzles” into a playable, always-on experience. The AI acts as the host and only replies with Yes / No / Unknown—no hints or spoilers—so players reconstruct the backstory by asking binary questions.
What’s different
 • Host is strictly constrained to Yes/No/Unknown to keep the reasoning with the player.
 • 500+ curated puzzles across mystery/logic/psych/absurd categories; growing set.
 • Multilingual (English/Chinese to start).
 • Solo-friendly but also works for shared-screen or group play.
How it works
 • You read a short prompt (missing key info by design).
 • You ask questions; the host answers Yes/No/Unknown only.
 • You stop when you can state the full backstory.
 • Example starter (no spoiler): “A man orders turtle soup. After one sip, he pays, goes home, and shoots himself. Why?”
Tech notes
 • Next.js 15 (App Router), TypeScript, Tailwind, shadcn/ui.
 • State via Zustand; data via Drizzle ORM.
 • Prompting + guardrails to enforce the Yes/No/Unknown boundary and avoid accidental reveals.
 • Hosted on Vercel; anonymous play works—optional sign-in only to save progress.
What I’d love feedback on
 • Cases where the host leaks too much or answers inconsistently.
 • Puzzle quality: which ones feel fair vs. too obscure; which categories you want more of.
 • Mobile UX/latency reports.
 • Ideas for a “race mode” (fewest questions/least time) without making it feel grindy.
Roadmap
 • Race mode and public leaderboards.
 • Creator submission/review pipeline for new puzzles.
 • Better reasoning trace (question path visualization).
Happy to answer questions and share details about the constraint setup and evaluation harness.

value: Show HN: Lateral Thinking Puzzles – AI host that only answers Yes/No/Unknown


value: rnaga

value: I’ve been working on WP-Next, an alternative to WordPress Admin built in TypeScript with Next.js. Instead of PHP, it uses WP-Node for type-safe queries and hooks. Features include posts, pages, media, comments, revisions, multisite, and a NextAuth.js login system. It’s designed for devs who like WordPress’ data model but want a modern React/Next.js stack. https://github.com/rnaga/wp-next

value: Show HN: WP-Next – WordPress Admin Rebuilt with Next.js (No PHP Required)

author: rnaga


value: eibrahim

value:
I built FreeResend after my email costs across multiple side projects started getting expensive with Resend (which I still think is fantastic, btw).
*What it is:* A self-hosted, open-source alternative to Resend that uses Amazon SES for actual email delivery while maintaining 100% API compatibility.
*Why it matters:*
- 85% cost reduction (Amazon SES rates: $0.10/1k emails vs premium pricing)
- True drop-in replacement - just set RESEND_BASE_URL env var
- Auto-creates DNS records if you use Digital Ocean (optional)
- Complete control over your email infrastructure
*Technical stack:*
- Next.js 15 + TypeScript
- Direct PostgreSQL (no external DB services)
- AWS SES SDK v3
- Digital Ocean API integration
- Docker ready
*The magic moment:* Add domain → auto-create 7 DNS records → sending emails in <60 seconds vs 15+ minutes of manual DNS setup.
I've been running it in production across multiple projects for months. MIT licensed, well-documented, includes test scripts.
*GitHub:* https://github.com/eibrahim/freeresend
*Medium post:* https://medium.com/@eibrahim/introducing-freeresend-the-open...

value: Show HN: FreeResend – Drop-In Resend Replacement Using Amazon SES

author: eibrahim


value: brnocstro

value:
Hi HN,
I built a small tool: [https://image2pdf.vu](https://image2pdf.vu)
It’s a simple image-to-PDF converter, designed to be:
- fast (runs directly in the browser),
- private (no files are stored on the server),
- free.
The idea came up when I needed to merge a few photos into a single PDF and most solutions I found were slow, full of ads, or required sign-ups.
I’d love some feedback:
- How do you find the simplicity of the interface?
- What features would you expect (e.g. batch conversion, more image formats, compression)?
Thanks!

value: Show HN: Image2PDF – Convert images to PDF online (fast and free)

author: brnocstro


value: parkercarrus

value:
I built this simulator to study how simple trading agents interacting with an order book can create emergent patterns—volatility, clustering, even chaos—without any external shocks. It’s meant as both a research toy and teaching tool.
You can run different strategies, adjust configs, and watch dynamics evolve. Curious to hear feedback from the HN crowd on features/dynamics you’d like to see added.

value: Show HN: Multi-Agent Market Simulator for Studying Emergent Trading Dynamics

author: parkercarrus


value: denizhadzh

value: I built an AI image & video studio that combines state-of-the-art models (Flux, Veo 3, Minimax, Google Imagen 4 etc.) with custom ones we trained ourselves. You can generate and edit content in one place, switching between models seamlessly.

value: Show HN: Next-Gen Image/Video AI Studio (Flux, Veo 3, and Custom Models)

author: denizhadzh


value:
Hi All,
Created a diffchecker website which does some basic diff check by comparing two text with clean UI.
Below are the features -
1. Real-Time Diff Checks
2. Character-by-Character Comparison
3. Expandable context lines for very large diff
4. Shareable links with content gziped as query params
5. Save diff in browser.
Already hitting some good daily users around 1K, how to increase user experience ?

value: Show HN: Diff Checker Website – Diffchecker.dev


value: Show HN: Smart email filters to unfuck your email


value: yorkie

value: Show HN: Render 3DGS with <model> element at spatial web browser

author: yorkie


value: vorador

value: Show HN: Rebuilding GPT2 inference in ~500 lines of (commented) code

author: vorador


value:
I am making this Open Source project which let you plug LLM to your android and let him take incharge of your phone.
All the repetitive tasks like sending greeting message to new connection on linkedin, or removing spam messages from the Gmail. All the automation just with your voice
Please leave a star if you like this
I am a single developer making this project, would love any kinda advice or collaboration!

value: Show HN: I made AI Agent App that literally uses your phone


value: selmetwa

value: Largest API vocab api on the web (that I know of) contains 15k words across 4 dialects (egyptian, levantine, modern standard arabic, and Darija)

value: Show HN: Arabic Vocab API

author: selmetwa

title: Show HN: Arabic Vocab API


value: seyz

value: Show HN: My 90s TV

author: seyz

title: Show HN: My 90s TV


value: userium

value: Show HN: I track electric car company moves through job ads and patents

author: userium


value: reactiverobot

value:
MCP-UI is super early but I'm pretty excited about the idea of LLM chat interfaces no longer being a wall of text and including visual elements.
The ceiling of what mcp-ui enables is super high since it can really be anything but that makes it hard to imagine.
To me, considering the floor of what mcp-ui offers is much more compelling. It lets us plug a gap where Google search beats LLM chat - the little functional UI widgets like timers and conversions. This repo is a proof-by-example to show that mcp-ui can be useful.
It should be easy to fork and build your own custom widgets too!

value: Show HN: Simple visual tools for common situations in your LLM via mcp-UI

author: reactiverobot


value: liukidar

value:
Hey there HN! We're Antonio and Luca, and we're excited to introduce Smooth, a state-of-the-art browser agent that is 5x faster and 7x cheaper than Browser Use (https://docs.circlemind.co/performance).
We built Smooth because existing browser agents were slow, expensive, and unreliable. Even simple tasks could take minutes and cost dollars in API credits.
We started as users of Browser Use, but the pain was obvious. So we built something better. Smooth is 5x faster, 7x cheaper, and more reliable. And along the way, we discovered two principles that make agents actually work.
(1) Think like the LLM (https://x.com/karpathy/status/1937902205765607626).
The most important thing is to put yourself in the shoes of the LLM. This is especially important when designing the context. How you present the problem to the LLM determines whether it succeeds or fails. Imagine playing chess with an LLM. You could represent the board in countless ways - image, markdown, JSON, etc. Which one you choose matters more than any other part of the system. Clean, intuitive context is everything. We call this LLM-Ex.
(2) Let them write code (https://arxiv.org/pdf/2401.07339)
Tool calling is limited. If you want agents that can handle complex logic and manipulate objects reliably, you need code. Coding offers a richer, more composable action space. Suddenly, designing for the agent feels more like designing for a human developer, which makes everything simpler.
By applying these two principles religiously, we realized you don't need huge models to get reliable results. Small, efficient models can get you higher reliability while also getting human-speed navigation and a huge cost reduction.
How it works:
1. Extract: we look at the webpage and extract all relevant elements by looking at the rendered page.
2. Filter and Clean: then, we use some simple heuristics to clean up the webpage. If an element is not interactive, e.g. because a banner is covering it, we remove it.
3. Recursively separate sections: we use several heuristics to represent the webpage in a way that is both LLM-friendly and as similar as possible to how humans see it.
We packaged Smooth in an easy API with instant browser spin-up, custom proxies, persistent sessions, and auto-CAPTCHA solvers. Our goal is to give you this infrastructure so that you can focus on what's important: building great apps for your users.
Before we built this, Antonio was at Amazon, Luca was finishing a PhD at Oxford, and we've been obsessed with reliable AI agents for years. Now we know: if you want agents to work reliably, focus on the context.
Try it for free at https://zero.circlemind.co/developer
Docs are here: https://docs.circlemind.co
Demo video: https://youtu.be/18v65oORixQ
We'd love feedback :)

value: Show HN: Smooth – Faster, cheaper browser agent API

author: liukidar


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


value: mwsherman

value: Having seen how complex rate limiting becomes in production, I thought layering should be more expressible.

value: Show HN: A more composable rate limiter for Go

author: mwsherman


value: julianchr

value:
Hey everyone! The idea behind Ginormous News is pretty simple. I have set up agents to listen to and analyze 20 different radio stations from around the world, and distill down the most globally significant stories into a free daily briefing.
I’ve been working on Ginormous News for the past few months out of a desire to be more informed about global events. I felt that I was being siloed into only seeing specific news stories due to my consumption of primarily English language media, and I decided to build something to help tackle this issue.
The system operates using Whisper for multilingual transcription and a combination of frontier LLMs. I make an effort to have the stories be as grounded as possible in original quotes from the broadcasts, in an effort to reduce hallucinations, and avoid errors due to the model’s lack of recent world state due to knowledge cutoff date.
These are the very early stages for this product, but I’ve been learning about events in the world I wouldn’t otherwise have heard about.
One question I am often asked is, why radio?
Radio is a particularly interesting medium for a few reasons.
For one, radio is extremely accessible. While news sites have become more and more restricted with paywalls and sign up demands, radio is broadcast globally, for free.
Second, compared to the endless feeds and SEO-boosting articles of today’s online news cycle, radio has comparatively little information output at any given moment. If you think about it, since the advent of radio, the effective mental bandwidth that it can use has been fixed. There are only so many tokens of information that can be fit into a 24 news stream that is comfortable to listen to as a humans.
Given the fewer tokens per minute, and the linear nature of radio’s storytelling, this means that the broadcasters must be talking about what is most important at any given moment. This means that it is a source of news that is much easier to process, and has much less noise to signal.
This was built out of a personal need, and as such, I am completely fine paying out of pocket to receive this level of detailed briefing every morning. Given that it is a negligible extra cost to share it out to additional users, I plan to keep this briefing free for all for the foreseeable future.
Take a look and let me know what you think!

value: Show HN: Ginormous News, AI generated daily global news briefings from radio

author: julianchr


value: tonyspiro

value:
Hey HN,
I'm Tony, CEO at Cosmic (YC W19). We're excited to announce the launch of the Cosmic AI Platform, a revolutionary system that transforms how you create content, build, and deploy applications.
The Cosmic AI Platform reinvents what a CMS can be - it's now a complete AI-enabled application development and deployment platform. Build and deploy anything you can imagine using natural language, in minutes.
Key features:
- AI Content Studio: Generate complete content models and content from natural language descriptions
- AI-Powered Development: Build applications with Next.js, React, Astro, and Vue.js using AI
- Full Deployment Pipeline: GitHub integration, Vercel deployments, environment management, and domain services
The platform is available now on all Cosmic accounts. We've increased our free tier to 300k tokens (up from 10k) so you can try these new capabilities.
Log in to the Cosmic dashboard to try it out: https://app.cosmicjs.com/login and read more about the release here: https://www.cosmicjs.com/blog/introducing-the-cosmic-ai-plat... We'd love to get your feedback!
Tony

value: Show HN: Cosmic AI Platform – Build and deploy CMS sites using natural language

author: tonyspiro


value: ajmayafi

value:
Hello HN , I built Recall because I kept losing copied text while working. Existing clipboard managers felt bloated or unsafe so I designed Recall to be privacy first and simple:
- History clears automatically when the app is killed.
-  All data is stored locally on your Mac — nothing leaves your machine.
- Minimal UI, works instantly with ⌘ + V.
It’s built with Electron + sqlite, lightweight enough for daily use, and packaged for macOS (both Intel + Apple Silicon).
You can try it here its 100% free:
https://ajmayafi.gumroad.com/l/recall-macOS
Would love your feedback.

value: Show HN: I Built a Privacy First Clipboard History Manager for macOS

author: ajmayafi


value: jamsey

value:
Hey HN,
I built a Chrome extension called Legal Eyes that rewrites your casual messages into sharp, professional legal language.
Use cases: - Freelancers chasing late invoices - Founders dealing with vague contract terms - Anyone trying to sound more serious or formal (without being a lawyer)
No prompt engineering, no copy-pasting. It sits in your browser, and converts selected text with a click. I built it using React, Supabase (for auth and usage tracking), OpenAI (for the rewriting), and deployed via Vercel.
I launched this to help the little guys when they need a stronger voice. I hope this goes out into the world and helps someone :)
Would love your feedback on: - Features you'd expect in v2 - Thoughts on monetizing vs keeping it free - Weird or niche use cases I haven’t thought of
You can try it here (free version available): [https://legaleyes.uk](https://legaleyes.uk)
Thanks! Happy to answer anything.

value: Show HN: Legal Eyes – Turn casual text into legalese with one click

author: jamsey


value: chromy

value:
A while ago I was looking for information on a obscure and short lived British computer.
I found an article[1] in the archives of BYTE magazine[2] - and was captivated immediately by the tech adverts of bygone eras.
This led to a long side project to be able to see all 100k pages of BYTE in a single searchable place.
[1]: https://byte.tsundoku.io/#198502-381
[2]: https://news.ycombinator.com/item?id=17683184

value: Show HN: A zoomable, searchable archive of BYTE magazine

author: chromy


value: sylwekkominek

value: Show HN: Bringing Back Spectrum Visualizers in Stereo Systems

author: sylwekkominek


value: Show HN: A component-first approach to internationalization


value: coyove

value:
simdgrep is written in plain C, works like 'grep -rinE' out of box, with multithreading and gitignore filter.
My sloppy testing on Linux shows a slightly better result compared to ripgrep, but it varies because of software and hardware jitters, on macOS (sonoma) simdgrep sometimes performs worse.
More benchmarks are welcomed.

value: Show HN: Simdgrep is a file grepper not written in Rust

author: coyove


value: Connect-EZ

value:
We built tollfree.connect-ez.com because Skype discontinued its free toll-free calling service. For years, people relied on it to reach U.S. and Canadian 1-800 numbers from abroad—banks, airlines, government offices, and customer support desks. When Skype pulled the plug, it left a gap.
We try and work with disruptive, SIM-less telephony at Connect-EZ. Instead of relying on phone numbers and SIM cards, we make calls work over data connections — web, mobile apps, or Wi-Fi—using email or browser-based IDs. The toll-free dialer is a simple example: open the site, type in the toll-free number (like 1800XXXXXXX), and click Call Now. The call connects instantly in your browser—no app download, no account signup, no hidden fees.
Happy to answer questions and would love feedback from the HN community.

value: Show HN: Free Web Dialer for U.S./Canada Toll-Free Numbers (Skype Replacement?)

author: Connect-EZ


value:
Hey HN,
I'm a C++ algorithms engineer, and today I'd like to share my first full-stack web project: PrivyDrop.
This project was born from two ideas:
First, I wanted to solve a daily annoyance of mine: I needed a simple, AirDrop-like way to send text, links, or screenshots between my phone and PC. I tried many tools, but they either required me to sign up, had various limitations, or uploaded my data to their servers, which I was never comfortable with.
Second, this was a personal experiment. Last year, with all the talk about "AI replacing programmers," I got curious. As a developer with no web background, I wanted to see how long it would take to learn full-stack development from scratch (an area I'm really interested in) and build a complete application, using AI as my primary coding partner and mentor.
PrivyDrop is the result of that learning and experiment.
It's a peer-to-peer (P2P) file-sharing tool based on WebRTC. Its core principle is that *your data belongs only to you*: all files and text are transferred directly between your browser and the recipient's, fully end-to-end encrypted, without ever passing through an intermediate server.
*Here are some of its key features:*
*   Completely free and open-source, with no ads.
*   No sign-up or installation required—just open your browser.
*   Direct P2P connection for privacy, security, and speed.
*   No limits on file size or type.
*   Support for entire folder transfers.
*   Built-in resumable transfers.
The whole process has been a fantastic learning journey. I'm sharing it now in the hope that it can solve the same pain point for others. I'm really eager to hear any feedback, ideas, or even harsh criticism from the HN community!
*   *Live Demo:* https://www.privydrop.app
*   *GitHub Repo:* https://github.com/david-bai00/PrivyDrop
Thanks, everyone!

value: Show HN: My OSS P2P file transfer tool for learning Next.js (as a C++ dev)


value: bl-ue

value:
I built a tool to make Claude Code’s terminal more fun and interesting.
With tweakcc you can:
-Build your own themes (RGB/HSL color picker included)
-Change Claude’s “thinking verbs”
-Swap out the spinner animation and banner text
-Restore token counter and elapsed time
-Keep changes persistent across updates
-Supports Claude Code installed on Windows, macOS, and Linux, using npm, yarn, pnpm, bun, Homebrew, nvm, fnm, n, volta, nvs, and nodenv, or a custom location
-Restore defaults anytime
Quick start:
npx tweakcc
Repo: https://github.com/Piebald-AI/tweakcc
Feedback and PRs welcome!

value: Show HN: Tweakcc – Customize Claude Code's CLI (themes, verbs, spinner)

author: bl-ue


value: aaurelions

value:
% npx agent51 how are you
An ultra-lightweight AI agent that communicates with the OpenRouter API, executes shell commands, and offers opinions you'd probably expect from a resident of Springfield. Woo Hoo!
Features:
- Tool Calling: Executes shell commands to perform tasks, manipulate files, and interact with your system.
- Zero Install: Runs directly from the cloud with npx. No installation is needed. It's like getting a free donut.
- Conversation Memory: Remembers the context of your conversation, even if you were just talking about flamin' Moes.
- Simpson-like Personality: Get quirky, enthusiastic, and sometimes lazy responses. D'oh!
- Customizable Output: Use command-line flags to control exactly what you see—commands, output, or just the agent's final answer.

value: Show HN: Agent51 – npx agent51 get top 5 post titles on Hacker News

author: aaurelions


value: szymonmaszke

value:
Hi, this is a Python framework I have created to make my life a little easier when creating custom linting rules.
Key features:
- Quick to use (~20 LOC to create a functioning linter/checker)
- Works with different file formats (as in the description)
- Supports multiple ignore/noqa directives (per-line ignores, range ignores, whole file, rules choice during runs)
- Single check can span all elements of the file or even all files
- Works directly with Python's AST
- Tutorials and API reference to make users life easier
All in all seems to be quite functional for my private (yet) linters, so I decided to make it into a FOSS project.
Have fun, would love to hear your feedback and ideas regarding it!

value: Show HN: Framework to create linters for Python, YAML, TOML, JSON

author: szymonmaszke


value: velorek

value: I remember the days of MS-DOS's README.COM and I thought of coding something similar in C for GNU/Linux terminals. Repository: https://github.com/velorek1/fread

value: Show HN: Old-School TUI File Viewer for Modern Terminals

author: velorek


value: piotraleksander

value: Show HN: Turn YC Safe Docs into React/MDX App

author: piotraleksander


value:
TLDR: made the first background coding agent that has an isolated workspace and runs locally
Howdy - I’m Kevin, co-founder of Firebender, and we built the first background coding agent in android studio / Jetbrains!
Why not just use Cursor background agents or OpenAI Codex?
Both of these require setting up a cloud container and cloning your existing developer environment, and maintaining it. Then when you want to iterate on changes as AI inevitably makes a mistake, you either throw away the work, or have to pull down the branch and clean it up. This feels really clunky. With Firebender, background agents run locally in a lightweight git worktree/IDE tab. This means when the agent is done, you can easily clean up the changes and run code with a few clicks.
Under the hood, the agent behaves similarly to claude code (didn’t want to reinvent the wheel), but also leverages all of the hooks into IntelliJ sdk like go-to-definition, find usages, auto-imports for accuracy, and it gives a cleaner visual UI for reviewing changes and merging them. You can use any frontier model like gpt-5/sonnet-4 as the base.
We’ve had to do quite a bit of reverse engineering of the IntelliJ codebase to cleanly set up and manage the isolated environment, and I think you’ll appreciate the simple UX of hitting cmd+enter to run a background agent anywhere.
get started docs: https://docs.firebender.com/get-started/background-agents
download the plugin: https://firebender.com
Would love to get your feedback to help us improve the tool for you! Thanks!

value: Show HN: First background agents in Jetbrains IDEs [video]


value:
I built an AI senior engineer that helps you craft specs for coding tools like Cursor so you can get the code you want with fewer retries.
I was getting frustrated with AI coding tools. They’re good at spitting out code, but they also make aggressive assumptions, generate a lot of unnecessary stuff, and often ignore existing functions. I kept ending up spending more time debugging than building.
So I thought: what if I had a tool that forced me to plan first? One that could use the context of my codebase and project docs, push back when I was vague, and help me write a clear spec before I let the AI start coding.
I’ve been dogfooding it for a week. It’s already made me less frustrated with AI-generated code because it points out things I should consider and produces specs that tell me exactly which file or method needs to change.
Repo: https://github.com/suzuking1192/samurai-agent
It’s still very early, but I’d love feedback, and also tips on how you approach “vibe coding” in a better way.

value: Show HN: An AI "senior engineer" that crafts specs before vibe coding


value: twendykirn

value:
Hey HN,
I'm Igor and I’m building Unlingo, an open-sourced platform designed to make internationalization less painful.
Features:

  - It's super fast to set up. You can genuinely go from zero to a multilingual app in about 3 minutes.

  - AI assistance. Generate translations on the fly when you don't have a human translator ready.

  - Version Control. Safely test new copy and features in an isolated branch without affecting production.

  - Screenshots. You can attach screenshots directly to translation keys so translators know exactly what they're working on.

  - Insta Sync for keys. Edit your primary language, and the keys are instantly created for all other languages, ready to be translated.

Demo here: https://youtu.be/0tjNs2iU3VA?si=TIll8BR06wpU9CpP
I'd be absolutely thrilled if you could check it out or give the repo a star.
Let me know what you think!

value: Show HN: Unlingo – open-source platform for localization

author: twendykirn


value: steorra

value:
Hi, We’ve built Pantheon-CLI, an fully open-source project that aims to be the “Python Claude Code + Notebook” — but designed for data analysis instead of just coding.
Unlike most AI coding assistants, Pantheon-CLI runs entirely on your machine (or server). No data upload required. It blends natural language and code in a single workflow, keeping variables in memory and letting you switch seamlessly between typing code and asking in plain English.
What it does:
1. Chat with your data: Directly process CSV, Excel, AnnData, Pickle, Torch tensors, or any format supported by Python/R/Julia.
2. Mixed programming: Variables persist across natural language and code; the CLI auto-generates and runs code for you.
3. MCP-like agent integration: Read/create files, run commands, fetch web pages, generate/revise code.
4. Human-like learning: Feed it a PDF paper or tutorial—Pantheon-CLI reads it, plans steps, and replicates methods before analysis.
5. Task planning: Builds scientific agents by learning from papers/tutorials (not just fixed, human-predefined steps).
6. Multi-model support: Works with OpenAI, Anthropic, Gemini, DeepSeek, Qwen, etc. + offline local LLMs (ollama, deepseek, gpt-oss).
7. Multi-RAG support: Pre-learns from docs/web into a local “brain” for more credible outputs without massive token costs.
8. Built-in biology toolsets: For omics analysis (alignment, annotation, differential expression, full paper reproduction).
9. Notebook mode: Brings the same agentic workflow into Jupyter—automatically runs and revises code, operates on files, and learns from tutorials/papers.
Pantheon-CLI is our attempt to push beyond “AI writes code for you.” Instead, it’s an agentic operating system for data analysis, spanning both terminal and notebook.
Repo: https://github.com/aristoteleo/pantheon-cli
Tutorial: https://pantheonos.stanford.edu/cli/docs/intro/getting-start...
Home page: https://pantheonos.stanford.edu/
Would love to hear feedback from the HN community—what use cases would you try this for, and what features would make it more useful to you?

value: Show HN: Pantheon-CLI – Open-Source Python Claude Code and Smart Notebook

author: steorra


value: masterrository

value: Show HN: I built the first AI Agent for Charting, I'm looking for your feedback

author: masterrository


value: PJVNS

value:
I built a free study tool for AWS certifications: [AWSomecards](https://awsomecards.com).
It’s a static-first app: pure HTML/CSS/vanilla JS on the frontend, with flip animations via CSS transforms and study modes (core concepts, comparisons, quick facts). Flashcard data lives in S3 as JSON, served through Lambda (Node.js 20) + API Gateway, cached globally at CloudFront. All infrastructure is managed via CloudFormation.
The cards are immutable and cached aggressively at the edge. Rate limiting is enforced at both Lambda (30 req/min/IP) and API Gateway (50 rps, burst 100). Monitoring is wired up through CloudWatch alarms and SNS notifications.
The learning model is simple: tiered flashcards mapped to AWS exam objectives, with a progressive mode that steps learners through increasing difficulty. The goal is to make high-quality certification prep available for free, without gatekeeping. There are currently 2,500+ cards across Cloud Practitioner, Solutions Architect Associate, Advanced Networking, and more.
---
*Questions for HN:*
- Which AWS certifications should be prioritized next?
- Would there be interest in open-sourcing the flashcard data or the CloudFormation templates?
- What sustainable monetization approaches have you seen work for free learning tools, without ads or paywalls?
---
Feedback is welcome — both on the approach and on how to keep it sustainable long-term.

value: Show HN: 2,500 free AWS certification flashcards (built on AWS)

author: PJVNS


value: arundkv

value: Troubleshoot your robots and drones by asking questions like:<p>> Did my drone experience a hard landing?<p>> What is the latency of messages in this topic?<p>> What errors and warnings did I get in this robot run?

value: Show HN: Bagel – ChatGPT for Physical Data

author: arundkv


value: sangsattawat

value:
I used Claude Code heavily while trying to launch an app while being quite sick and my mental focus was not at its best.
So I relied 'too much' on Claude Code, and my Supabase keys slipped in a 'hidden' endpoint, causing some emails to be leaked.
After some deep introspection, and thinking about the explosion of Lovable, Replit, Cursor, Claude Code vibe-coded apps, I thought about what's the newest newest and most dreadful pain points in the dev arena right now.
And I came up with the scenario of debugging some non-obvious errors, where your AI of choice will reply "You're absolutely right! Let me fix that", but never nailing what's wrong in the codebase.
So I built Ubon for the last week, listing thoroughly all the pain points I have experienced myself as a software engineer (mostly front-end) for 15 years. Ubon catches the stuff that slips past linters - hardcoded API keys, broken links, missing alt attributes, insecure cookies. The kind of issues that only blow up in production.
And now I can use Ubon by adding it to my codebase ("npx ubon scan .", or simply telling Claude Code "install Ubon before commiting"), and it will give outputs that either a developer or an AI agent can read to pinpoint real issues, pinpointing the line and suggested fix.
It's open-source, free to use, MIT licensed, and I won't abandon it after 7 days, haha. My hope is that it can become part of the workflow for AI agents or as a complement to linters like ESlint.
It makes me happy to share that after some deep testing, it works pretty well. I have tried with dozens of buggy codebases, and also simulated faulty repos generated by Cursor, Windsurf, Lovable, etc. to use Ubon on top of them, and the results are very good.
Would love feedback on what other checks would be useful. And if there's enough demand, I am happy to give online demos to get traction of users to enjoy Ubon.

value: Show HN: Ubon – a solution for the "You're absolutely right" debugging dread

author: sangsattawat


value: shormigo

value:
Hi HN,
I’ve been working on a project called My Financial Pal, a free web app that generates personalized financial plans in just a few minutes.
The way it works:
You answer a short questionnaire about your income, expenses, debts, and goals
The app uses AI to analyze your answers
You immediately receive a custom PDF report with actionable advice tailored to your situation
The advice focuses on practical decisions like:
Should you prioritize paying off debt vs. investing?
How can you budget more effectively?
What’s the best strategy to save for a major purchase?
My motivation: financial planning can be expensive and inaccessible. Professional advice often costs hundreds of dollars. I wanted to see if I could democratize that process and make it available to anyone with an internet connection.
It’s early days, and what I’m looking for is feedback:
Is this useful to you?
What would make it better?
What did you like or dislike about the experience?
Important notes:
The app doesn’t ask for any personally identifying information — responses are anonymous
There’s no signup required, it’s free to use
There’s a Feedback form built into the app where you can share your thoughts directly
Try it here: http://myfinancialpal.pro
Thanks for checking it out! I’ll be around in the comments to answer questions and collect feedback.

value: Show HN: My Financial Pal – Free AI-Powered Personal Financial Planner

author: shormigo


value: raelmiu

value:
Working in IT at a company with a change management process? How are you handling MCPs? Not at all? With very expensive tools not up to the task? How about just making it fit into your current setup!
We needed to build this for inxm.ai, and realised this was the perfect time to give back to the community.
Enterprise MCP Bridge is Open Source and solves Auth, Multi User, and REST apis by wrapping your existing MCPs.

value: Show HN: Enterprise MCP Bridge – Solving the MCP Chaos for IT

author: raelmiu


value: DavidCanHelp

value: Show HN: Git Well Soon – A beginner's guide to Git with a medical twist

author: DavidCanHelp


value:
Hi all! Hope you're all doing well!
I built MultiField CopyCat, a Chrome extension that helps you bulk copy, paste, and autofill multiple web form fields all at once. If you often find yourself retyping or copying form data field by field, this tool might save you time and frustration.
Website: https://multifield-copycat.com/
Quick Youtube demo: https://youtu.be/gi-lKZbawSk
Key features:
- Copy multiple form fields in selected area in one go
- Paste copied data back into the same forms in one go
- Copy & paste all form data from one page to another
- Save autofill settings for recurring use
- Supports common input types like text, checkboxes, radio buttons
- Customizable keyboard shortcuts for quick workflow
I've built this because, as a web developer, I often found myself copying form data between environments, e.g. from local to staging, or staging to live sites. I also test forms during development, so I added the instant autofill feature as well to make it a complete tool for forms. You can also enable/disable the autofill easily via the extension popup as needed.
This is my first time building an extension, so I'm sure there're plenty of room for improvement — feedbacks and suggestions are all very welcome!
You can check it out on the Chrome Web Store here:
https://chromewebstore.google.com/detail/alglchohmdikgdjhafi...
Thank you so much for your time & for checking this out! Hope this helps you too!
And thank you WXT team for the amazing extension framework!
---
P.S. It probably sounds stupid: I did use my extension's autofill to save my draft post under https://news.ycombinator.com/submit, but hey it works lol

value: Show HN: I Built an Extension to Copy, Paste & Autofill Web Forms Instantly


value: bilalasd

value:
Hi HN,
I built Morel after getting frustrated with how many restaurants replaced their paper menus with horribly slow, pinch-and-zoom PDFs after the pandemic. The user experience is just awful, especially if you have a bad connection inside a building.
I wanted to build something better: a menu that felt mobile optimized, was incredibly fast, and just worked.
Morel is a simple platform that lets restaurant owners build and host a lightweight and fast menu. The menu viewer itself is highly optimized for mobile phones and has minimal dependencies to ensure it loads instantly, even on a spotty 3G connection or weak restaurant Wi-Fi. The goal was to make it as close to "instant" as possible.
Morel also lets you create and style QR codes that you can print.
The tech stack is:
* Frontend/Backend: Next.js / React
* Database: PostgreSQL with Prisma
* Payments: Stripe
* Auth: Clerk
I've just launched and would love to get your feedback on the product, the tech, or any other aspect. I'll be here to answer any questions.
The site is at: https://www.getmorel.com
Thanks,

value: Show HN: I built a tool to create fast, beautiful QR code menus for restaurants

author: bilalasd


value: seeyebe

value:
Built a tiny CLI called sip; lets you grab a single file, a directory, or an entire repo from GitHub without cloning everything.
Works smoothly on Linux/macOS. On Windows, there’s still a libstdc++ linking issue with the exe, contributions or tips are welcome.
GitHub: https://github.com/allocata/sip

value: Show HN: Sip: Alternative to Git Clone

author: seeyebe

title: Show HN: Sip: Alternative to Git Clone


value: pikaiqiu

value: Gemini 2.5 Flash Image - Google's advanced image generation and editing model with low latency. Natural language control, character consistency, multiple image blending, and creative freedom. Experience state-of-the-art AI image creation with SynthID watermarking.

value: Show HN: Gemini flash image – Image Editing

author: pikaiqiu


value: I shared Word Slicer here a while back — it’s a free, ad-free, browser-based word game where you try to find 5 words in 5 minutes. Since then I’ve been improving it (daily challenge archive, cleaner UI, better stats), and I’d love more feedback from the HN crowd. In particular, I’m interested in thoughts on the gameplay flow, design/UX, and what would make it more engaging.

value: Show HN: Word Slicer – browser word game (follow-up, looking for feedback)


value: zhlmmc

value: GBOX Android MCP enables Agents(Cursor/Claude Code/...) to operate Android devices. It can be used for Android App Testing or mobile automations.

value: Show HN: Turning Claude Code into a General-Purpose Agent

author: zhlmmc


value: Show HN: Glyphide – A serverless JavaScript editor that runs 100% client-side


value: vtoolpro

value: Make a SaaS website use Nano Banana，Free Limit

value: Show HN: Make a SaaS Website Use Nano Banana，Free Limit

author: vtoolpro


value: rogerdcarvalho

value:
Built to centralize all scattered information I rely on day-to-day.<p>1. Auto-tags and organizes docs, links, screenshots, spoken audio and other content.
2. Local AI model offers retrieval through natural language search.
3. Local AI model offers chat with RAG injection of any content processed.

value: Show HN: Clipbeam – Private and Offline AI Powered PKMS

author: rogerdcarvalho


value: borxtrk

value:
I noticed many government and nonprofit sites are still failing
basic accessibility checks, even with the 2026 ADA deadline coming fast.
I built a free tool that runs Google Lighthouse accessibility checks
and gives you a 0–100 score plus a PDF report you can share with leadership.
adaquickscan.com
Curious what the HN community thinks — what features would make this
more useful? (API? deeper reports? integration ideas?)

value: Show HN: Free ADA compliance scanner for websites

author: borxtrk


value: epilys

value: Show HN: Emulating aarch64 in software using JIT compilation and Rust

author: epilys


value: goloroden

value: Show HN: OpenCQRS – A new CQRS framework for JVM developers

author: goloroden


value: pupppet

value:
Have you ever worked with a specific AI model and wondered why it's suddenly responding with much dumber answers?
These AI providers are continuously turning their little knobs and dials in an attempt to save themselves a few bucks and sometimes they go too far.  When they do, I would like there to be a place where everyone can report these issues so these AI providers know we're watching them.
https://dumbdetector.ai/

value: Show HN: DumbDetector.ai – Report a model acting dumb

author: pupppet


value: lejtzen

value: Show HN: Slumpgenerator

author: lejtzen

title: Show HN: Slumpgenerator


value: aanthonymax

value: Show HN: I built a bundle-saving UI tool and open-sourced it

author: aanthonymax


value: maxtermed

value:
Earlier this month I was playing with one of Claude's "inspiration" Artifacts, a bedtime story generator (a React component that runs in the browser). I showed it to a mom I know. She said "This is nice, but it would be great if it could make my child the hero of the story and narrate it so we can listen together."
That offhand comment launched a 2-weeks learning journey from a simple React component to a full production SaaS.
This technical journey taught me that "just an LLM wrapper" is like saying a restaurant is "just a kitchen." Here's how I built it:
Stack: FastAPI + SQLAlchemy + Auth0 + Stripe + OpenAI API

  - Multi-step wizard flow with session management
  - Background audio generation with OpenAI TTS
  - User auth, subscription tiers, usage tracking
  - Rate limiting, input sanitization, secure file storage
  - Database migrations, monitoring, deployment scripts

The non-obvious challenges:

  - Prompt engineering to make the child the hero of the stories
  - Voice selection and prompts to find a tone that doesn't terrify kids at bedtime
  - Session state across wizard steps without losing progress
  - Handling OpenAI API failures gracefully
  - Storage for generated audio files
  - Making it parents and grandparent-friendly

Claude Code helped throughout, as a senior engineer to bounce ideas off and to write quite a bit of code. I reviewed, understood, and sometime rewritten every block of code. The learning was the point, in this case.
The humbling realization: Yes, it's "just" an LLM wrapper. But so is ChatGPT. The value isn't in the AI call - it's in solving a specific problem for specific people and package it in a user-friendly way. Parents don't care about tech stacks. They care that bedtime takes 20 minutes instead of 2 hours.
Site: https://bedtimestories.pro/ (3 free stories, then paid)
Feedback is welcome.

value: Show HN: I Turned a Claude Artifact into a SaaS – Lessons from an LLM Wrapper

author: maxtermed


value: lpellegr

value: Show HN: Reusable GitHub action for Gatus monitoring

author: lpellegr


value: arbitrandomuser

value:
This is a little hobby/side project i've been working on .
Its tool for constructive solid geometry using python which runs in your browser (best viewed on desktop).
The gist of it is it runs in your browser(pyodide) you write high level python which generates the corresponding glsl for your objects signed distance function which is then rendered using webgl (raymarching). The objects can then be converted to an STL (marching cubes) and downloaded
while SDF's for csg has been done before , https://github.com/fogleman/sdf , it requires you to generate the mesh and view it in a seperate viewer . Here instead i render the sdf with a fragment shader onto a canvas.
Python is neat, a lot of people know it or can pick it up fast and i thought its the perfect language for small time 3d printing hobbyist or designers to quickly conjure something up.
P.S , i'm also looking for a job.

value: Show HN: Constructive Solid Geometry with Python in the browser

author: arbitrandomuser


value: Tairesh

value:
I built `rustormy`, a minimal terminal tool to check the weather with ASCII art and ANSI colors.
Features:
- Current conditions (temp, wind, humidity, pressure, precipitation)
- ASCII icons + color output
- Input by city or lat/long
- Metric/imperial units, JSON output, multi-lang (EN, RU, ES)
- Live mode with auto-refresh
- Works out-of-the-box with Open-Meteo (no API key), also supports OpenWeatherMap
Install via `cargo install rustormy` or grab a prebuilt binary from releases page
Repo: https://github.com/Tairesh/rustormy
Would love feedback, feature ideas, or bug reports -- especially from CLI/TUI fans.

value: Show HN: Rustormy – a neofetch-style weather CLI in Rust

author: Tairesh


value: monagjr

value: Show HN: GigsAlert - Never Miss an Urgent Gig Again

author: monagjr


value: Hey everyone, I’m an NBA fan and Python dev, and I recently built DeepShot — a machine learning model that predicts NBA game outcomes with about 71% accuracy based on historical stats and rolling performance metrics (EWMA). It features: Real NBA data from Basketball Reference Exponentially Weighted Moving Averages to track momentum Interactive NiceGUI interface with team comparison and predictions Full Python stack and open-source (MIT license) Here’s the GitHub repo: https://github.com/saccofrancesco/deepshot And if you like it, here’s my Buy Me a Coffee: buymeacoffee.com/saccofrancesco Would love any feedback — especially from folks who’ve built sports models or worked on real-time stat tools. Also open to ideas on where to take this next (player-level modeling? betting advice dashboard?).

value: Show HN: DeepShot – an open-source NBA predictor with ML, EWMA, and live UI


value: Hansenq

value:
Hey everyone!
I've been trying to requalify for United Premier Gold status this year. If you're also on this path, you know how difficult it is get the necessary Premier Qualifying Points and Premier Qualifying Flights before the end of the year. Partner and Star Alliance airlines are particularly tricky, because the calculation depends on flight distance, fare class, airline, and other ticket attributes.
I built a free, simple web app to show how many PQP/PQF you need to qualify for the next tier. Importantly, you can create different scenarios and itineraries that result in different PQP/PQF amounts, so you can pick the scenario that gets you there the fastest.
This was built completely for fun and for personal use, but happy to take feedback and requests for improvement! Right now it's only built for United, but if there's enough interest I could expand this to American/Delta/Alaska.

value: Show HN: Statusrope: Plan Your Path to United Premier Status

author: Hansenq


value: PiersonMarks

value: Show HN: Satori MCP Server – Generate Images from React Components

author: PiersonMarks


value: Show HN: ProStore – The best alternative app store for iOS


value: cxumol

value:
I'm wary of sending private data to cloud AI services, but local models aren't always powerful enough. So I built PromptMask, an open-source local-first privacy layer.
It uses a trusted local LLM (via Ollama, llama.cpp, etc.) to intercept your prompt before it goes to a cloud service like OpenAI. It finds sensitive data and replaces it with semantic placeholders. Instead of a generic [REDACTED] that breaks context, it creates a map like {"John Doe": "${PERSON_1_NAME}"}.
Only the anonymized prompt is sent to the cloud. When the response returns, PromptMask uses the map to restore your original data, so that your secrets never leave your machine.
This is practical on consumer hardware because the local model's job is small: it only outputs a JSON map of secrets, not a full text rewrite. My benchmarks show even sub-1B parameter models are effective at this.
Two ways to integrate it into your AI activities:
1. Python lib for developers: A drop-in replacement of OpenAI SDK. `from promptmask import OpenAIMasked as OpenAI`
2. API Gateway for client-side apps: Run `promptmask-web` to get a local reverse-proxy endpoint (localhost:8000/v1/chat/completions) that secures requests from any OpenAI-compatible app.
I'd love to hear your feedback.
GitHub Repo: https://github.com/cxumol/promptmask (MIT Licensed)
Blog post "How Not to Give AI Companies Your Secrets", a deep dive of "how"s and "why"s: https://xirtam.cxumol.com/promptmask-how-not-give-ai-secrets...

value: Show HN: I made PromptMask, a local LLM-based privacy filter for cloud LLMs

author: cxumol


value: brovatten

value:
I noticed many projects I was getting acquainted with often had an overview that could not be easily explained by the file structure.
I tried to prompt using Claude Code and Cursor, but I was still not happy with the results for medium-large codebases.
So four months later, I have now built an open-source repository (CodeBoarding) that analyzes your code-flows, and generates an abstract overview of your codebase that you can interact with.
To do this, I extract code-flows using an LSP server to reduce the context and serve it to an LLM in multiple steps (read metadata, explore packages, validate diagrams, etc.).
The final results are now hosted on the website url, and you can find the repo from there. Would be super happy to hear feedback, thanks HN!

value: Show HN: CodeBoarding – Visualize Code Structure

author: brovatten


value: gorkemcetin

value: If you’re working with LLM training data (like I often am), you’ll know how tricky it can be to scrub out PII without breaking the dataset. I have been using MS Presidio for some time and decided to build a UI on top of it. This is a tool that scans and recognizes sensitive bits in text (eg names, emails, addresses etc), processes images to mask whats sensitive and handles structured data.<p>Everything is written in ts + nodejs, with great help from Claude Code :)  It's still early so feedback & contributions are more than welcome.

value: Show HN: MaskWise: Redact, mask, and anonymize data in training files for LLMs

author: gorkemcetin


value: Show HN: Open-source pipelines to auto-train workflow-specific LLMs


value: Show HN: Simulating a Vedic astrologer using real astronomical data and LLM


value: nsomani

value: Show HN: Web2mcp – Auto-generate an MCP for any web app

author: nsomani


value: omitchen

value:
Hi HN,
I often watch long lectures or conference talks on YouTube, but usually only a few minutes contain the key points I need. I wanted a way to get the gist quickly, so I built a small tool to summarize YouTube videos using AI.
How it works: you paste a YouTube link, and it generates a short summary plus key transcripts. The backend is optimized so results come back in a few seconds.
Design choices:
- No accounts or logins (I wanted it to be instantly usable).
- Free to use (I run it as a side project).
- Focused on speed and simplicity.
It’s still early and I’d love feedback on:
- Whether the summaries feel useful/accurate
- Which extra features would make it more helpful (timestamps, exporting, etc.)
- Any issues you run into
Link: [vdown.me](https://vdown.me)
Thanks!

value: Show HN: An AI Tool to Summarize YouTube Videos

author: omitchen


value: roggenbuck

value:
I wanted a safer alternative to RegExp for TypeScript that uses a linear-time engine, so I built Regolith.
Why:
Many CVEs happen because TypeScript libraries are vulnerable to Regular Expression Denial of Service attacks. I learned about this problem while doing undergraduate research and found that languages like Rust have built-in protection but languages like JavaScript, TypeScript, and Python do not. This library attempts to mitigate these vulnerabilities for TypeScript and JavaScript.
How:
Regolith uses Rust's Regex library under the hood to prevent ReDoS attacks. The Rust Regex library implements a linear-time Regex engine that guarantees linear complexity for execution. A ReDoS attack occurs when a malicious input is provided that causes a normal Regex engine to check for a matching string in too many overlapping configurations. This causes the engine to take an extremely long time to compute the Regex, which could cause latency or downtime for a service. By designing the engine to take at most a linear amount of time, we can prevent these attacks at the library level and have software inherit these safety properties.
I'm really fascinated by making programming languages safer and I would love to hear any feedback on how to improve this project. I'll try to answer all questions posted in the comments.
Thanks!
- Jake Roggenbuck

value: Show HN: Regolith – Regex library that prevents ReDoS CVEs in TypeScript

author: roggenbuck


value: yungeeker

value:
Hey HN! I built Timeline, a browser extension that automatically saves posts you encounter while scrolling through X (Twitter) timelines.
Key features:
• Automatically saves up to 100 posts you see in your timeline
• Preview text and images before deciding to keep them
• Search through your saved posts
• Export data to JSON or use as a bookmark export tool
• Fully open source (CC-BY-4.0) - no privacy concerns
I got tired of losing interesting posts while scrolling, so I built this to capture them automatically. It's available on Chrome Web Store and works with Firefox/Edge too.
Built with Preact and rollup.
GitHub: https://github.com/RiverTwilight/Timeline
Chrome Web Store: https://chrome.google.com/webstore/detail/timeline-x-history...

value: Show HN: Timeline – Auto-save X posts from your timeline with search and export

author: yungeeker


value: irtefa

value:
Hey HN,
For a while now, our team has been trying to solve a common problem: getting all the context needed to debug a bug report without the endless back-and-forth. It’s hard to fix what you can't see, and console logs, network requests, and other dev data are usually missing from bug reports.
We’ve been working on a new tool called Recording Links. The idea is simple: you send a link to a user or teammate, and when they record their screen to show an issue, the link automatically captures a video of the problem along with all the dev context, like console logs and network requests.
Our goal is to make it so you can get a complete, debuggable bug report in one go. We think this can save a ton of time that's normally spent on follow-up calls and emails.
We’re a small team and would genuinely appreciate your thoughts on this. Is this a problem you face? How would you improve this? Any and all feedback—positive or critical—would be incredibly helpful as we continue to build.
PS - you can try it out from here: https://jam.dev/recording-links

value: Show HN: Magic links – Get video and dev logs without installing anything

author: irtefa


value: dahuangf

value: Google's state-of-the-art image generation and editing model, specifically designed for fast, conversational, and multi-turn creative workflows.

value: Show HN: Nano-banana – Professional AI image enhancement tool

author: dahuangf


value:
I built a small browser-based tool called Snap Shot because I often needed to make screenshots look decent for slides, product pages, or social posts, and I didn’t want to open a full design tool just to add padding or a background.
With Snap Shot, you can:
Drop in a screenshot and quickly add padding, change aspect ratios, or style it with backgrounds
Apply simple effects like shadows or isometric/3D perspective
Export instantly without watermarks
Everything runs locally in the browser (no uploads)
I priced it as a one-time $9 deal since this feels like an occasional-use tool rather than something worth a subscription.
Would love feedback from the HN community — on both the product and whether this kind of tool feels useful outside of my own workflow.
https://snap-shot.getindielaunch.com/

value: Show HN: Snap Shot – Make Screenshots Look Polished in Seconds


value: beshrkayali

value:
Hi HN,
I'm excited to share Sudecku, my first iOS game. It combines classic Sudoku with deck-building strategy. If you enjoy logic puzzles or card games, you might enjoy Sudecku.
The idea started from playing a lot of Sudoku with my wife and watching Cracking the Cryptic solve some wild sudoku variants. I was also inspired by Balatro, which showed how much depth and replayability can be added to a simple cards game. That got me thinking about what would happen if Sudoku had power-ups sort of like Uno action cards or Balatro’s combos, and deck-building mechanics. After countless hours of playtesting and feedback (mostly from my wife), Sudecku finally came together.
It's a paid app. One-time purchase kind of deal. There are no in-app purchases or ads. You get the full game up front. It's also iOS only for now, but I'm definitely open to releasing on other platforms if there's demand.
You can check it out here:
- App Store: https://apps.apple.com/app/sudecku/id6747517140
This was a labor of love for me, and I'd love to hear what you think, any feedback or questions are welcome.
Thanks for checking it out!
(Happy to answer any questions about the game or the development.)
PS. If you'd like to try the game but can't pay for it for some reason, please email me (me at my first name dot com) and I'll happily provide you with a promocode.
Thanks!

value: Show HN: Sudecku – A Deck-Building Sudoku (For iOS)

author: beshrkayali


value:
Hi HN! I got tired of squinting at escaped strings when debugging LLM API calls, so I built a Chrome extension that instantly renders them.
When working with OpenAI/Claude/etc APIs, the request/response logs are full of escaped strings like "You asked:\n\n\"What is recursion?\"\n\nRecursion is when...". This extension lets you select any text containing these escape sequences and instantly see what it actually looks like.
How it works: Select any escaped string on a webpage → See the rendered output in a floating panel. Works great on API logs.
No more copy-pasting into console or online decoders. Everything runs locally in your browser.
GitHub: https://github.com/aeft/escaped-string-viewer
Built this to scratch my own itch - would love to know if others find it useful!

value: Show HN: Chrome Extension to Preview Escaped Strings


value:
I’m the creator of Spring AI Playground, a self-hosted web UI built on Spring AI—designed to make testing and experimenting with AI tools more straightforward for Java developers.
What it is
Runs locally, lets you experiment with:
 • LLM providers (Ollama is the default, but you can switch to OpenAI, Anthropic, Microsoft, Google, and more.).
 • RAG workflows: upload documents, chunk, embed, search with scoring, and filter metadata.
 • A visual MCP (Model Context Protocol, a spec for connecting models to external tools) Playground to set up tool integrations (HTTP, STDIO, SSE), inspect tool metadata, and call them from a chat interface.
I wanted a place to play with RAG workflows and external tool calls without wiring up a full app or handling API boilerplate.
GitHub: https://github.com/JM-Lab/spring-ai-playground
Why it’s different
 • Built with Spring AI—no new language or framework if you’re already in the Spring ecosystem.
 • Zero API key setup (thanks to Ollama support), though you can switch to OpenAI easily.
 • Vector DB agnostic—plug in providers like Pinecone, Milvus, PGVector, Weaviate, Elasticsearch, Redis, and many more.
 • Live MCP debugging—inspect tools, tweak arguments, see execution history in one place.
 • Everything runs locally—your data stays on your machine (Docker or native).
 • Built with Spring Boot DevTools—fast application restarts when you modify configurations or experiment with different settings.
Background
I built this after repeating the same setup tasks for Spring AI. I wanted a simple sandbox to prototype ideas faster. Currently lacks authentication, user management, and production-ready features, but it already cuts my prototyping time in half.
Feedback welcome
If you try it, I’d love to know:
 • Was anything confusing or hard to use?
 • Any rough edges or gotchas you’d like fixed?
Jemin Huh

value: Show HN: Spring AI Playground – Self-Hosted Web UI for MCP, RAG and LLM


value: heyviv

value: Envoy is a lightweight, background utility that logs your terminal commands. It's designed to be a simple and unobtrusive way to keep a history of your shell usage, which can be useful for debugging, tracking work, or just remembering what you did.

value: Show HN: Envoy – Command Logger

author: heyviv

title: Show HN: Envoy – Command Logger


value: smanifold

value:
B2B Planr consolidates marketing planning, budgeting, and performance tracking into a single interface. Move beyond disconnected spreadsheets and endless slide decks. Make better decisions and save time with dedicated marketing planning software built for B2B teams.
Users can document the revenue goal for the business and define the marketing strategies and objectives that will deliver it. Each strategy can have one or multiple marketing programs assigned, each with its own specific set of tactics or activities.
At every level, planned and actual budgets can be recorded to help keep spend on track, and actual results can be pulled automatically from a connected CRM.
Marketing leaders can instantly see and share the plan with stakeholders. Built-in filters and calendar views remove the need for multiple spreadsheet versions and repeated presentation decks. Dashboards display headline data such as marketing return on investment (MROI), planned versus actual spend, and which programs or strategies are on track or behind.
Teams can collaborate on a single plan, avoid version control issues, and maintain a consistent planning template. Hours previously spent by marketing leaders consolidating plans into a global or corporate view are now handled automatically.
By integrating plan documentation, budget data, and key performance metrics, the marketing framework remains coherent, transparent, and accessible, allowing teams to focus on executing the plan and driving business growth.

value: Show HN: B2B Planr – track marketing plans, budgets, and results in one place

author: smanifold


value: pontusabra

value:
I’ve been working on automating bookkeeping tasks, and one big pain point was manually reconciling receipts with bank transactions. We built a system that runs in the background, parses receipts (including Gmail), suggests matches, and learns from confirmations to auto-match over time.
It's built into Midday and fully open-source.
Let me know if you have any questions!

value: Show HN: Auto-Match – How We Built Receipt-to-Transaction Matching (Open Source)

author: pontusabra


value: atsy

value:
I found that copying and pasting ChatGPT responses into a Notion/Google doc was tedious, so I built this little Chrome extension over the weekend to save them.
No login required. It saves everything in localStorage, and you can export too. There's also a Firefox build available (my mom uses Firefox lol).
I'd totally appreciate feedback, bugs, or feature requests!

value: Show HN: A simple web extension to save ChatGPT responses

author: atsy


value:
Not all improvements come from adding complexity — sometimes it's about removing it.
PageIndex takes a different approach to RAG. Instead of relying on vector databases or artificial chunking, it builds a hierarchical tree structure from documents and uses reasoning-based tree search to locate the most relevant sections. This mirrors how humans approach reading: navigating through sections and context rather than matching embeddings.
As a result, the retrieval feels transparent, structured, and explainable. It moves RAG away from approximate "semantic vibes" and toward explicit reasoning about where information lives. That clarity can help teams trust outputs and debug workflows more effectively.
The broader implication is that retrieval doesn't need to scale endlessly in vectors to be powerful. By leaning on document structure and reasoning, it reminds us that efficiency and human-like logic can be just as transformative as raw horsepower.

value: Show HN: PageIndex – Vectorless RAG

title: Show HN: PageIndex – Vectorless RAG


value: Focalist it the most straight forward and efficient daily task manager system.

value: Show HN: Focalist – task manager helping you to focus on what matters


value: easyfree

value: Show HN: I Built Veo 3 Video Generator Almost 3X Cheaper

author: easyfree


value: heberti

value:
Hi HN, I'm Heberti, the solo developer working on Pinery.
I've spent the last couple of years building Pinery with a single mission: I wanted a tool that bridged the gap between simple Markdown editors and complex layout software like InDesign.
Pinery is my attempt at a solution. It combines a clean, distraction-free Markdown editor with a powerful, real-time visual styling mode. You can control typography, spacing, and layout visually, and see the changes instantly.
Key features:
- Write in Markdown with AI-assisted text tools (leveraging macOS frameworks)
- Customize the design with advanced typography controls
- Live preview your document as a PDF or on eReader (simulated e-Ink display)
- Export to ePub 3, PDF, and HTML (for a static website)
- Works fully offline
Demo: https://www.youtube.com/watch?v=O1hg8QRFWcM
Product Hunt: https://www.producthunt.com/products/pinery
It's a freemium app. The free version lets you write, design, and export to PDF. The Pro subscription unlocks ePub and HTML export.
I'd love to hear your feedback and am here to answer any questions!

value: Show HN: Pinery – A native macOS app for self-publishing with Markdown

author: heberti


value: whatsthatabout

value:
I made a fork of the original yt-ant-translate which is only available for Chrome and Firefox.<p>It should have the same features as the original:
- Untranslate audio track
- Untranslate description
- Untranslate channel branding
- Untranslate notification titles

value: Show HN: Safari extension for blocking YouTube AI translations

author: whatsthatabout


value: bennieforss

value:
Hi HN,
I couldn’t find a to-do app that worked the way I needed – cross-platform, offline-first, real-time collaboration – so I built one.
Key features:
- iOS, Android and Web with seamless sync (Dexie.js + Dexie Cloud).
- Real-time collaborative lists (great for families and teams).
- AI assistant for generating tasks, recipes, or workout plans.
- Rich text editor with attachments and notes.
I’ve been working on this for ~2 years (~2,500 hours of dev). My small team and family use it daily, and now I’d love HN’s feedback.
App link: https://totodo.app/go
More details in the comments – happy to answer any technical/product questions.

value: Show HN: To To-Do – Collaborative Task Lists with AI and Dexie.js

author: bennieforss


value: AymenLoukil

value: Show HN: Get Web Vitals metrics straight on the SERP

author: AymenLoukil


value: shadabshs

value:
I got tired of typing the same names, emails, and phone numbers again and again while building/testing forms — usually ending up with gibberish.
So I built MockFill, a Chrome extension that auto-detects input fields and lets you autofill realistic mock data in one click (single field or entire form).
It’s free, works locally, and doesn’t collect any data.
Would love feedback from the HN community

value: Show HN: Autofill forms with mock data for testing

author: shadabshs


value: nilsio

value: Show HN: A 3D military aircraft tracker

author: nilsio

title: Show HN: A 3D military aircraft tracker


value: mohitvaswani

value: Get instant access to 200+ high domain rating websites & directories where you can submit your SaaS, AI tools, and websites to increase authority, backlinks & traffic.

value: Show HN: A database of 200 trusted directories to boost your domain rating

author: mohitvaswani


value: mohyware

value: Streak Punisher is a Discord bot designed to help users keep their problem-solving streaks.<p>Each day It automatically fetches solved problems from LeetCode and Codeforces for registered users, roasts those who drop their streak, ranks users based on streak, solved problems, then highlights the top performer.

value: Show HN: A Discord bot that help users keep their problem-solving streaks

author: mohyware


value: Show HN: Test Your Reaction Time

title: Show HN: Test Your Reaction Time