value: felixnext

value: I recently build a python time-parser that can parse most formats in a single line. Might be useful to some here. (Also happy to hear feedback and feature requests)

value: Show HN: Easy Python Time Parsing

author: felixnext

title: Show HN: Easy Python Time Parsing


value: kcaldas

value:
Hi Hacker News,
I'm Krishna, and I've been building Genie – an AI assistant designed to live directly in your command line. For too long, I felt the friction of context switching, leaving my terminal to ask AI questions or process information. I wanted an AI that felt like a natural, transparent, and controllable extension of my Unix workflow. That's why Genie was born.
What Genie does:
*   *AI for Your Terminal:* Transforms your command line into an intelligent workspace, keeping you in your flow.
*   *Flexible Interaction:* Interact seamlessly via simple CLI commands (e.g., `genie ask "..."`) or an intuitive Text User Interface (TUI) for deeper, multi-turn conversations.
*   *Unix Philosophy Integration:* Leverage AI with your existing tools by piping output (e.g., `git diff | genie ask "commit msg?"`). Genie enhances, not replaces, your favorite utilities.
*   *Persona-Driven Assistance:* Utilize specialized AI personas (e.g., `engineer`, `product-owner`) to tailor responses for specific tasks and roles, providing more relevant and actionable insights.
*   *Open & Controllable:* Built with an open-source core, Genie prioritizes transparency. You can inspect its workings, hack on it, and even connect it to your own fine-tuned models.
Why I built this / What makes it different:
Many AI tools are black boxes, dictating how you work. Genie is different. It's built for developers who value control, transparency, and a composable toolkit. We believe in an open foundation that empowers you to adapt and extend AI to your unique needs, rather than being locked into a rigid system. It's about bringing powerful AI capabilities directly into the environment where developers spend most of their time – the terminal.
How to try it out:
Genie is in beta, and we're actively developing it. You can get started quickly:
```bash
go install github.com/kcaldas/genie/cmd/genie@latest
```
Then, set your `GEMINI_API_KEY` (you can get a free one from Google AI Studio) and start interacting:
```bash
export GEMINI_API_KEY="YOUR_API_KEY"
genie ask "hello world"
git diff | genie ask "commit msg?"
genie # for interactive TUI mode
```
Check out the project on GitHub for full documentation and more examples: https://github.com/kcaldas/genie
I'd love to hear your thoughts, feedback, and questions.
P.S. This post was written by Genie, looking at its own source! ;-)

value: Show HN: Genie: Your AI-Powered Terminal Sidekick (CLI and TUI)

author: kcaldas


value: Show HN: Intercepting proxy for semantic search over visited pages


value: stemonteduro

value:
Hi HN, Dailygram (open beta) lets you pick any public Instagram or X profile; once a day or week it fetches new posts, runs them through GPT-4o, and delivers a digest you can scan in under a minute—both as an HTML email and via an auto-updating RSS feed.
Early adopters include marketers, journalists, and solo founders who track competitors or industry voices without opening social apps. So far: 111 sign-ups, 1 565 digests sent, 56 % open rate, 8 % click-through.
Tech notes: Laravel backend, Apify for scraping, GPT-4o for summarisation, Maizzle + AWS SES for mail, signed-URL webhooks for metrics, CDN-proxied images (no originals stored).
I’d love your feedback and I’ll be happy to answer anything technical or product-related.

value: Show HN: I made Dailygram so you stop social-media doomscrolling

author: stemonteduro


value: ishqdehlvi

value:
We built WTMF after one too many late-night spirals into the void, only to be met with a blinking cursor or a generic bot. WTMF is your emotionally aware AI bestie — it listens, remembers, adapts, and genuinely stays. Whether it’s mood tracking, journaling nudges, or just needing a “hey, you okay?” at 3 a.m., WTMF gets it.
We’ve said no to VC money to stay true to privacy, real connection, and never monetizing your mental health moments.
  Ask me anything about memory, privacy, or why your girlfriend is upset....
 https://wtmf.ai

value: Show HN: WTMF – the AI that remembers your 3 a.m. breakdown (and doesn't ghost)

author: ishqdehlvi


value: damarberlari

value:
Hi all, a few months ago I decided to start learning about neural network and how to make visualization using threejs.
I tried to apply my learnings on these two quite unrelated topics in one project, by creating this visualization.
You can read the complete article here: https://visualrambling.space/neural-network
Feel free to visit and please let me know what you think. Thanks!

value: Show HN: Neural Network Visualization, Made with Threejs

author: damarberlari


value: twoslide

value: Show HN: The Rankings Game: A satirical simulation of university management

author: twoslide


value: shortuname

value: I discovered C++ templates are turing complete so I tried computing total steps in collatz conjecture at compile time

value: Show HN: Collatz Conjecture using only C++ templates

author: shortuname


value: tajd

value: Hey! I built a dashboard to help homeowners in the UK identify useful renewable energy solutions for their houses. I'm going to improve the fidelity of the modelling and make it faster to get the right information for addresses and I can add more data for renewable energy solutions.<p>Keen for any feedback! Thanks for taking a look.

value: Show HN Helping home owners find useful renewable energy sources for their homes

author: tajd


value:
I built ThreatCluster after getting frustrated with how scattered cybersecurity intelligence is. When a major breach or vulnerability hits, you end up reading the same story across 10+ different security blogs, each with slightly different details, but no way to see the complete timeline or understand the full scope.
ThreatCluster automatically groups related cybersecurity articles using semantic clustering, so instead of reading fragments, you get one comprehensive view of each threat. It tracks everything from APT campaigns to vulnerability disclosures to ransomware attacks.
You can try it without signing up – just visit https://threatcluster.io/trending to see current clustered threats. The free tier lets you browse all clusters, see threat scores (based on recency, source credibility, and severity), and follow the timeline of how stories develop.
Key features you can test:
- Browse automatically clustered threat intelligence
- See threat scores and similarity percentages
- Follow story timelines as new articles get added
- Filter by entity types (APT groups, companies, malware families)
- Follow entities and add them to custom feeds
- AI-generated summaries of threats
- CVEs, IPs, Domain, and File Hash intelligence
The technical challenge was building clustering that works in real-time as articles come in, ensuring related articles are correctly clustered, while handling the noise and duplicate content that’s common in cybersecurity news.
Currently processing 400+ articles daily from security vendors, researchers, and news sources. Would love feedback from anyone in cyber security or just curious about how threat intelligence works.
Thanks!

value: Show HN: ThreatCluster – Automatically cluster cybersecurity news


value: Show HN: News Coverage - the Next-gen Google News, powered by AI


value: stagas

value: Show HN: Tsbro – TypeScript for the browser, no build step

author: stagas


value: kyrylo

value: Show HN: Screw This Page – Take revenge on any website you dislike

author: kyrylo


value: kokorikooo

value: We specialize in cleaning up vibecoded software — so your product can scale, your team can breathe, and the next dev won’t quit.

value: Show HN: VibeCleaner – We fix your messy vibe

author: kokorikooo


value: jurijtokarski

value: Built this after watching too many founders struggle with technical planning. It's an AI assistant that creates development roadmaps in minutes instead of weeks of consulting.<p>What it does:<p>- Takes your business idea in plain English<p>- Asks focused questions about requirements<p>- Generates complete MVP roadmap with timeline and budget<p>- Recommends tech stack and identifies risks

value: Show HN: AI Technical Discovery for Non-Tech Founders

author: jurijtokarski


value: harperhuang

value:
Hey HN! I built HowToSay (https://howtosay.cc) - a simple multilingual translation tool that's completely free.
Key features:
• Translates to 20+ languages simultaneously
• Up to 1000 characters per translation
• No registration, no API keys, just paste and translate
• Mobile-friendly for on-the-go use
• Completely free
I got tired of switching between different translation services (and so did my friends), so I wanted something that could show me how to say the same thing across multiple languages at once. Perfect for language learners, travelers, or anyone working in multilingual environments.
The AI does a decent job with context and cultural nuances. I've been using it for business emails, travel phrases, and more.
Would love to hear your thoughts and feedback! If this tool helps you out, please share it with your friends.

value: Show HN: Want to know how to say the same thing in 20 languages?

author: harperhuang


value: IntensiCode

value:
100% vibe coded (claude code max primarily) window switcher with fuzzy select and basic harpoon style window tagging (ctrl-<key> assign, alt-key> jump).
this is pretty much aligned with my workflow. probably not super useful for others. but i find the harpoon style window jumping quite useful. i can <alt-tab><alt-m> to go to mail etc. without releasing <alt>. i prefer this over workspaces switching alone. probably very personal setup i'm driving...
fun project on the side...
don't look at the code please. it wasn't me! :-D
i added releases to the GH page. but i'm a linux n00b in many ways. no idea if these run on other DEs or kernels or whatever. ‾\_('')_/‾
i'd love to hear about other projects and proper window managers that implement this already. because this is ofc mostly a hack.

value: Show HN: Harpoon-style window switcher prototype (100% Vibe coded)

author: IntensiCode


value:
Hey HN,
I built Cohesyve after years of wrestling with Amazon ads myself. Most PPC tools I tried made me spend even more time in dashboards I didn't want to be in—or kept their AI logic hidden. So I made something different:
- Works where you already are: Get real optimization suggestions via email or Slack (no extra logins)
- Transparent: Explains every recommendation, not a black box
- Actionable: Key suggestions you can approve/reject instantly
- Agency- or solo-friendly: Manage one brand or many
You can run and review optimizations in your inbox—no need to touch a dashboard unless you want to.
Why share here?
- I'm looking for honest, technical feedback from folks tired of fiddly SaaS tools
- Would love to know where other tools let you down or what reporting/features are missing
- Open to ideas/collaborations around automation or Amazon ads
Happy to answer questions and hear the blunt truth—what would make this genuinely useful for you?
Thanks!

value: Show HN: I made an Amazon Ads AI Agent that works in email/Slack


value: dorperetz

value:
Sometimes life is too serious,
That's why i built a simple tool that lets you create fake ChatGPT conversations where you control both sides of the chat.
It’s mainly for memes, jokes, parody posts, or testing how a conversation might go — with instant screenshot generation.
Not meant for deception — purely for fun and creativity.
Would love to see your created memes, ideas, or criticism from the HN crowd!

value: Show HN: Make fake ChatGPT chats for memes and pranks

author: dorperetz


value: afirium

value:
Hey HN!
I made this because Zig's stdlib changes so much and outdated docs are a problem. Server fetches the latest documentation directly from the ziglang.org and makes it available through the MCP, so LLM can query stdlib functions and builtins.
Link: https://github.com/zig-wasm/zig-mcp

value: Show HN: MCP server for up-to-date Zig standard library documentation

author: afirium


value:
Hi,
I built a simple email-based language learning bot that sends you daily messages in your learning language. You just reply like you're writing to a pen pal, and you'll get personalized responses and feedback based on your level the next day. This way you get consistent conversations practice through your inbox.
You can choose your level (Beginner to Advanced), pick the days you want to receive messages and add topics you're interested in. You can change your preferences via email later too. The bot currently supports Spanish, French and German, later we may expand.
See it here:
https://www.tnxapi.com/LanguageLearningEmailBot.php

value: Show HN: Improve Your Spanish, French or German Language Skills via an Email Bot


value: wek

value:
Hi HN! I'm Karl one of the co-founders of Stravu. (https://stravu.com) Using AI for work 24x7, we realized that four things would make AI more useful for us and a lot of other power users and teams:
Editable AI: AI gives output that is half right and our only option was to either keep chatting laboriously or copy it to a Google Doc. We made Stravu so you can edit the AI text, tables, diagrams in chat or in an attached notebook.
Approve AI changes: When AI makes a change to some text, you can't tell what changes. We put Red/Green diffs that you can approve into Stravu.
Unify text, tables, diagrams: We were jumping between tools to work with AI on text, tables, diagrams, etc.. Just because Microsoft did that 30 years ago, doesn't mean it makes sense now. We made Stravu so you can work with AI across text, tables, diagrams, (and 2x2s, formulas, more soon) and have them inform each other.
Actual multi-player team collaboration with AI: We couldn't collaborate as a team in AI (even with the ChatGPT Teams plan). We wanted to be able to chat with AI together as a team or see the changes AI was making in the canvas/notebook together and edit together. So we made Stravu support multi-player collaboration in every aspect... chats, notebooks, text, tables, diagrams..etc.
Some of the use cases of our current Beta customers include: scrum teams doing feature/customer/competitive research and feature definition, account teams building vertical/geo/account plans, consultants and investment teams working on market/company analysis.
We are currently in beta and actively iterating based on user feedback. Please try it out at: https://stravu.com We highly value your feedback!

value: Show HN: Stravu – Editable AI text, tables, diagrams (also multi-player AI)

author: wek


value:
Hey HN,
Around 2 months ago, I launched my project, a simple to use licensing system for developers that works anywhere.
And now I'm launching a new feature, offline licensing. For this, a token is generated for a license and verified on the client with a public key, without needing the internet.
Would love to get any feedback, on the feature itself or even on my feature page!

value: Show HN: I made a simple offline licensing system with JWTs


value:
Hi HN,
I'm excited to share a project I've been working on: Quack-Cluster.
I love the speed and simplicity of DuckDB for analytics, but I often work with datasets spread across hundreds of files in object storage (like S3). I wanted a way to run distributed queries across all that data without the complexity of setting up and managing a full-blown Spark or Presto cluster. I'm also a big fan of Ray for its simplicity in distributed Python, so I decided to combine them.
How it works:
You send a standard SQL query to a central coordinator. It uses SQLGlot to parse the query and identify the target files (e.g., s3://bucket/data/*.parquet). It then generates a distributed plan and sends tasks to a cluster of Ray actors. Each Ray actor runs an embedded DuckDB instance to process a subset of the files in parallel. The partial results (as Arrow tables) are then aggregated and returned to the user.
The goal is to provide a lightweight, high-performance, and serverless alternative for interactive SQL analytics directly on a data lake.
The core tech stack is:
Backend: Python, FastAPI
Distributed Computing: Ray
Query Engine: DuckDB
SQL Parsing: SQLGlot
The project is open-source and I've tried to make it easy to get started locally with Docker and make. I'm here to answer any questions and would be grateful for any feedback on the architecture, use case, or the code itself.
Thanks for checking it out!

value: Show HN: Quack-Cluster – A serverless distributed SQL engine with DuckDB and Ray


value: niklasbuschmann

value: Show HN: Simple self-hosted RSS reader

author: niklasbuschmann

title: Show HN: Simple self-hosted RSS reader


value: xvpdev

value:
Hey HN,
I built an open source SQL editor w/ AI to take the pain out of writing complex MySQL queries and learning syntax or repeatedly prompting ChatGPT, which doesn't fully understand your DB's schema. This app has an AI chat that understands your database and can act with context, executing complex tasks.
For example, I can ask "What's the last user that signed up? Can you set that user's paid status to TRUE?", and it will create a plan and execute it after you confirm.
The AI can run SQL commands and execute complex, multistep tasks, when prompted.
The app features a window to run commands, panel to view the tables and AI chat to prompt for changes or get info.
I created this to help me use SQL without needing to prompt ChatGPT very verbosely every time. The app understands the context of the DB, so no need for that.
It's all open source on GH. Would love for some people to check it out.

value: Show HN: Instantly Handle SQL Commands from Natural Language

author: xvpdev


value: manzodale

value:
Hi HN,
After building a Cursor-style AI tool for Microsoft Word (now being rolled out across several consulting firms), I kept hearing the same request: “Can you do this for Outlook?”
Apparently, a lot of professionals are still copy-pasting email threads into ChatGPT, then pasting responses back into Outlook.
So I built it: Cursor for Microsoft Outlook
It’s live and free to try: www.usescrutiny.com
Would love your thoughts, feedback, or questions.
— Dale

value: Show HN: I Built ChatGPT into Microsoft Outlook

author: manzodale


value: marclelamy

value:
From working years ago with Photoshop, then Figma and more recently CSS and Tailwind, converting color formats has always been a pain. You need the exact format, find the right website, deal with comma placement and right formatting, it's annoying...
So I built colorparser.com over the weekend.
Basically, you paste any messy text with colors in it, and it automatically parses them and creates separate panels for each color. I know most people will have only one color to convert, but it works with many. Then you just click on whatever format you need (RGB, HSL, hex, OKLCH, etc.) to copy it.
The nice thing is it handles format variations - so `hsl(200, 100, 50)`, `hsl(200 100 50)` or `hsl(200, 100%, 50%)` all work the same way.
When you visit the site, it automatically reads your clipboard and parses any colors it finds, which saves time. Everything runs in the client.
Currently supports hex, RGB, RGBA, HSL, HSLA, CMYK, and OKLCH. Planning to add more formats and features in the future.
It's free and open source. Thought some of you might find it useful. Works best on desktop.
Demo: https://qt7a9hbcr6.ufs.sh/f/fyvuhoH125pGLsvpcrgR21gHMBmdNi4y...

value: Show HN: ColorParser – Parse any color format from messy text into clean panels

author: marclelamy


value: Jonovono

value:
I've been interested in meditation for many years now. Worked at meditation startups, have done Vipassana 10 day retreats. I've been able to get into some pretty deep meditation sessions and those have always been nice for me. But for whatever reason, it always felt like playing the slot machine for me. I could never consistently get into the space.
Meditation kind of would come and go in my life.
Anyways, I stumbled across this guy on Youtube talking about HRV resonance meditation (i'll link him below, but i'm not affiliated). He talked about reaching this meditative state as being a back-loaded process which kind of clicked to me. A mental state that arises by preparing the physical body in a certain way. At the least, this was intriguing to me.
His method was pretty simple:
1. Keep the breath rate under 7 breaths per minute (BPM)
2. Always Make the Outbreath Longer (AMOL)
3. Take out all the pauses between breaths
What this does is induce something called HRV resonance, where your heart rate begins to naturally sync with your breathing rhythm. This balanced pattern helps activate the parasympathetic nervous system, which brings your body into a calm “low-idle” state. Once you're there, mental clarity and stillness tend to arise on their own, hence, back-loaded.
So I was trying it out and had some good luck but wanted a better way to play around with the BPM and in/out ratio of my breaths. I had an idea of making a Apple watch app that used haptic feedback to indicate when to breath with a nice bodily sensation you can pay attention too.
So it's pretty simple, you can pick the in/out and BPM and then it will give one haptic indicating to breath in and 2 when you can release and start breathing out.
Id love for feedback and curious if anyone else has success with this method.
* No subscription (just a small one time fee, if you want to try it but can't pay lmk)
* I'm not overly happy with the "Smart Mode" so any feedback would be great. I think it would be cool to make it so you can hook it up to a HR chest strap to get HRV and react in real time. For now its pretty dumb (and written by Claude Code)
* I'm still new to this but do plan on doing some experimenting with my chest strap
* I'm not a doctor ;p
For more details: Forrest YT: https://www.youtube.com/watch?v=qLCGxan273w
You can also look up his Mastering Meditation book

value: Show HN: Apple Watch app with haptic-guided breathing to help you meditate

author: Jonovono


value:
Hey HN! I've been working on Inbound (inbound.new) - an email system that lets you programmatically manage email addresses and route them to AI agents, webhooks, or forward them anywhere.
The core idea: instead of manually managing email addresses, you create them on-demand via API and route incoming emails to your AI agents or other automated systems.
For AI Agents: Create support@yourdomain.com and emails get sent to your AI agent as webhooks. Your agent can reply using our SDK. Perfect for AI customer support or automated responses.
For Email Forwarding: Set up hello@yourdomain.com to forward to your Gmail, or create email groups that forward to multiple people with custom rules.
For Developers: Full TypeScript SDK with one-line email replies and webhook types. Handles all the AWS SES complexity for you.
I built this because existing solutions were either too complex (raw AWS SES setup) or too limited (basic forwarding). I wanted something that made it trivial to connect emails to AI agents with great developer experience.
Your AI agent gets clean webhook data with parsed emails, attachments, threading info, etc.
It's been running in production for months, handling thousands of emails. The free tier is generous and no credit card required to try it.
You can try the email forwarding at inbound.new, check out the SDK at @inboundemail/sdk on npm, or see working examples in the repo.
Would love your feedback, especially if you're working on AI agents or email automation!

value: Show HN: Turn any domain into an ai agents’ inbox


value: csirkezuza

value:
A long-awaited Discord integration has been added to Kuvasz Uptime, from now on you can get notifications on that platform too if your monitors are down.
Quick start guide: https://kuvasz-uptime.dev/setup/installation/

value: Show HN: Kuvasz Uptime 2.3.0 – Added Discord integration

author: csirkezuza


value:
Hey HN.
Quick confession.
I’ve led a remote team, and for the most part, we hated project management tools, unnecessary meetings, and awkward daily standups.
Even worse. Most PM tools just tell you what to do in such a boring way.
So, I decided to build something different. A tool so rewarding, it actually made my team addicted to finishing tasks (okay, don’t flame me for this).
Lockdn is a fun, transparent tool designed to supercharge productivity, reward effort, and make working genuinely feel good.
With Lockdn, your team can:
 Log daily tasks and track workflow.
 Earn tokens for every win.
 Climb the team leaderboard for bragging rights.
 Unlock custom rewards set by your team.
 And collect badges as undeniable proof of hustle.
Every feature in Lockdn is backed by science, engineered to improve productivity through the power of dopamine.
I would say i am very confident about what we’ve built ,but if there is any feature you would like to see on a tool like this, what will it be?
We'd love your support on this launch. Thank you!

value: Show HN: Incentive and Reward based system for remote teams


value: kanwarb

value:
Built this because I kept losing context when working across multiple services. You know the problem: "what breaks if I change this auth function?" requires manually tracing through 5+ repositories to find all the dependencies.
Technical approach:
- Tree-sitter AST parsing for reliable dependency extraction across languages
- Graph storage for efficient relationship traversal
- AI only for semantic pattern matching on structured data (not raw code analysis)
- Real-time impact analysis without the accuracy problems of pure semantic approaches
Key insight: Don't trust AI for detailed code analysis (research shows 15-20% error rates), but use it for broader connections between components that static analysis has already verified.
Differentiation from existing tools:
- Sourcegraph: excellent single-repo navigation, limited cross-repo understanding
- Glean: searches documentation, this analyzes actual code relationships
- GitHub dependency graph: package-level tracking, this maps business logic flow
Works whether you have microservices or complex monorepo with multiple domains. Planning to open source core components since existing solutions are enterprise-only.
Early feedback welcome.

value: Show HN: Cross-repository understanding using static analysis and selective AI

author: kanwarb


value: spoonsort

value:
If you're a visual learner, one of the biggest instances can be seen at:
http://lambdaplusjs35padjaiz4jw2fugdoeutse262phqr72uf634s2wd...
It's usually SWF. Some features include:

    - No javascript of any type is used anywhere. In fact, CSP is used to block
      execution of any and all javascript, which makes XSS attacks impossible.
    - High security due to the use of pledge() and unveil()
    - Highly transparent moderation logs which include a reason for all
      moderation actions
    - advanced formatting, including LaTeX support
    - anyone can create their own board
    - multiple files per post
    - inline image expansion
    - per-board index and recent pages
    - paginated catalog pages and threads
    - extensive moderation tools

value: Show HN: JavaScript-free imageboard in Lua, with CSS based widgets

author: spoonsort


value: CarpaDorada

value:
Throughout my education and beyond, I always wanted to find buddies to study books and papers with. For various reasons, this has never materialized for me. Aside from academia, I've received a lot of help on IRC, and I'm aware that there's Reddit and Discord communities where people discuss Mathematics, Physics, and Computer Science (among other topics), but even there it is very hard to find people who wish to study together with you a specific article or book chapter.
With Communal Growth, I'm hoping to zero in specifically on the interests of people down to the granular level of article and book titles. Are you (for example) interested in studying /New Directions in Cryptography/ by W. Diffie and M. E. Hellman? The process is simple: find the DOI (also: ISBN, arXiv) of the paper (e.g. with WorldCat) and send an e-mail to subscribe@communalgrowth.org with body doi:10.1109/TIT.1976.1055638. Your e-mail is added to the article set of subscribers, and others may search the article and find your contact information. (Or perhaps you'd like to discuss a novel? Grab its ISBN!) Importantly, no conversation is taking place on the server. Does this UX sound unusual? Read on...
At a high level, I made the decision early that I did not want user accounts, partly because I was unfamiliar with web dev, and partly because /bringing people together on the basis of common interests/ sounds like Social Media, which I knew I would fail at. On the other hand, user accounts are annoying and with an increasingly complicated global legal landscape (GDPR, CCPA, etc) I wished to steer away from them, which is why I decided on an e-mail hook system where all actions (apart from search) are done by users e-mailing the server. I had to go down a rabbit hole...
Turns out that e-mail is really complicated. I studied the DNS and SMTP RFCs, (I even wrote a mindmap program for RFCs; see e.g. <https://createyourpersonalaccount.github.io/blog/img/dns-rfc...> for DNS, it's such a maze!) and invariably I got distracted by DNSSEC (since I like cryptography) so I studied that too. I spent a lot of time tuning Postfix, Dovecot, and Rspamd; I wrote my own policy daemon for quotas in Python to prevent certain types of abuse, and a milter daemon to verify RFC5322.From alignment to DKIM SDID (too strict for general e-mail, but needed to avoid user spoofing). Finally, I had to write an IMAP daemon that monitors the mailboxes and acts on messages received (in particular, looking up the ISBN/DOI/arXiv identifiers in online databases and subscribing users to the corresponding document). After all that work I discovered that I'm still blacklisted from sending e-mail (due to IP block reputation?) but it was never my intention to send e-mail anyway.
The other technical details are that I used Litestar with Psycopg 3, SQLAlchemy 2, and PostgreSQL, all async, deployed with NGINX.Unit (with certbot automated over daily systemd timers!). This is overkill, but it was fun. The pages are Jinja templates, and I do not use JavaScript. The entire source code for the website is available at <https://github.com/communalgrowth/webserver>, which may be a useful example of the above technologies working together. (I decided that I wanted the website source code to be freely available.)
This is also my first business company (LLC). I learned how to obtain a business license from Michigan LARA, then register for an EIN from the IRS (later had to complete BOI for FinCEN), and finally open a business bank account. I had a lot of help from Michigan SBDC for all of that. I was then able to buy all of the assets: domain name, and VPS, costing about $60/yr.
Please give it a try if you'd like. Let me know what you think! I plan on advertising it via word of mouth and with brochures to local colleges, libraries, and coffee shops even. This project took me over a year to finish; I'm proud to have contributed a business to Michigan.

value: Show HN: Communal Growth, find others with similar interests in books or papers

author: CarpaDorada


value: madebywelch

value:
At APM Help, we have a large team that performs repetitive, browser-based tasks. Years ago, to manage this work securely and get a clear audit trail, we built an internal platform we call "Hub." It's essentially a locked-down environment where our team works that records their sessions, tracks every interaction, and prevents data from being copied or shared. It's been our internal source of truth for years.
More recently, like many companies, we've been building more automation. And like everyone else, we've seen our automations fail on edge cases—a weirdly formatted invoice our parser can't read, a website layout change that breaks a scraper, etc. Our team would have to manually step in to fix these.
We realized other developers must have this exact same problem, but without a 250-person team on standby.
So we connected our old, battle-tested Hub to a new, modern front door: a Human-in-the-Loop (HITL) API. We're calling it browser-work.com.
The idea is simple: when you hit a task that needs a human, you can send it to our team through the API.
Here's how it works:

  - You POST a request to our endpoint. The payload contains the context for the task (like a URL) and a set of instructions for the human on what to do.
  - The task appears in the Hub, where one of our trained operators can claim it.
  - They perform the task exactly as instructed, all within the secure Hub environment.
  - When they're done, we send a webhook to your system. The return payload includes the task's output, any notes left by the human, and a detailed log of their actions (e.g., DOM elements they interacted with).

For example, if your automation for paying a utility bill fails, you can pass the task to us. A person will log in, navigate the portal, make the payment, and return a confirmation number.
The product is live and we're looking for people with interesting use cases.
I'm Robert, the CIO. If this sounds useful to you, send me a brief email about your use case at robert@apmhelp.com and we can get you started right away.
Happy to answer any questions here.

value: Show HN: An API for human-powered browser tasks

author: madebywelch


value: jonypopovv

value: ExpoLaunch is a starter template for building and shipping React Native apps with Expo. Includes auth, subscriptions, analytics, and full docs.

value: Show HN: ExpoLaunch – A full-featured Expo starter for mobile apps

author: jonypopovv


value: Show HN: Chrome extension to save YouTube segments with captions


value: kevinlarsson

value: Show HN: Annotate, inspect, and compare breakpoints side by side – Huddlekit

author: kevinlarsson


value: gsundeep

value:
My friends and I built MCP Jetpack which makes it really easy to start using MCP. It’s an MCP server that automatically finds and executes the right tools needed to accomplish your task without having to manage MCP servers for each service (GitHub, Linear, Atlassian, Notion etc.). Once you add it to Cursor (or any other AI app with MCP support), Cursor instantly gets access to a growing library of remote MCP servers without any extra setup. For services that require authentication, you will be asked to login the first time you ask your AI to interact with that service.
Two problems we are trying to solve:
Friction - Normally if you want to give Cursor access to GitHub, you have to install the right MCP server and login before you can use GitHub with Cursor’s chat. With MCP Jetpack, you can ask Cursor to list your GitHub issues, and it will automatically execute the right tool behind the scenes to accomplish your task. For services that require authentication, you will be asked to login the first time you interact with the service. However, it all happens within the Cursor chat so you never have to context switch and fiddle with Cursor’s settings.
Tool Limits - Cursor warns you if you have more than 50 MCP tools installed as it says having more will degrade performance. However, just installing the GitHub MCP server itself adds 74 MCP tools. With MCP Jetpack, you get access to GitHub, Atlassian and 15 other services with just two tools: “FindTool” and “ExecTool”.
Here are the 17 services we support today: GitHub, Atlassian, Canva, Linear, Notion, Intercom, Monday.com, Neon, PayPal, Hugging Face, Sentry, Square, Webflow, Wix, Cloudflare Docs, Cloudflare AI Gateway, Cloudflare Workers Bindings.
We’ll continue to add more services as companies launch remote MCP servers. If yours isn’t listed and you’d like it to be added, please email us at team@mcpjetpack.com.
MCP Jetpack is in alpha so please let us know if you run into any problems or have any feedback - thanks!

value: Show HN: MCP Jetpack – The easiest way to get started with MCP in Cursor

author: gsundeep


value: wolfteets

value:
I build a chrome/firefox extension that scans your Costco purchases and tells you if prices have dropped - allowing you to request the difference refunded!
I also included a cool summary analysis, and way to search through all historical warehouse purchases.
Check it out: https://chromewebstore.google.com/detail/costco-price-adjust...

value: Show HN: Extension to analyze Costco purchases and find price adjustments

author: wolfteets


value: wenning

value:
Hi HN!
I built a simple but effective AutoHotkey tool to eliminate the repetitive typing when working with kubectl commands. As someone who frequently switches between different Kubernetes namespaces and runs similar commands dozens of times per day, I was tired of typing kubectl get pods -n my-long-namespace-name over and over.
Key features:
Text shortcuts: Type @kpod → expands to kubectl get pods -n <current-namespace>
Session namespace: Set once with @ksetns, and all subsequent commands automatically include the namespace
GUI selector: Ctrl+Shift+K opens a command picker for less frequent operations
Clipboard integration: @klog uses whatever pod name you've copied for instant log tailing
The clever part: Uses AutoHotkey's global variables to maintain namespace context across your entire session. No config files, no complex setup – just run the script and start typing shortcuts.
Example workflow:
@ksetns → set namespace to "production"
@kpod → outputs kubectl get pods -n production
Copy a pod name, then @klog → kubectl logs -f --tail 200 <podname> -n production
It's Windows-only (AutoHotkey limitation), but for those of us stuck on Windows workstations managing K8s clusters, it's been a huge productivity boost.
The script is ~200 lines and took an evening to write, but I use it dozens of times daily now. Sometimes the simplest tools are the most useful ones.

value: Show HN: Kubectl AutoHotkey Tool – Text shortcuts and GUI for kubectl command

author: wenning


value: nickisyourfan

value:
I’ve been working on Deeb — a tiny embedded database that stores your data as JSON files and behaves like an ACID-ish transactional database. It’s written in Rust and designed for small apps, side projects, experiments, or dev tools where spinning up Postgres or Mongo is overkill.
It’s inspired by the flexibility of MongoDB and the simplicity of SQLite, but stores everything in plain JSON. That means you can open, inspect, and edit your data manually — or use the API to query and mutate it with transactions, associations, and nested queries.
I just launched a new docs site and opened up a Discord community for discussion/feedback.
Some of the early use cases people have shown interest in:
 • Local-first apps
 • Simple tooling dashboards
 • Quick mock APIs
 • Portable experiment storage
 • Drop-in database for internal dev tools
If you want to see how it works, the code is here: https://github.com/The-Devoyage/deeb
Would love to hear your thoughts — critiques welcome. Always looking to make this thing sharper.

value: Show HN: Deeb – a lightweight embedded JSON database written in Rust

author: nickisyourfan


value:
I posted about SuperOptiX previously, but at that time the website and documentation weren't fully polished — we were still finalizing core components.
Since then, we've fully revamped the site, completed detailed developer docs, and rolled out all major features.
What’s SuperOptiX?
It’s a full-stack Agentic AI framework built for real-world, production-grade agents with a focus on:
 Evaluate-first development (BDD/TDD style specs like Cucumber or RSpec way)
 Optimization-core architecture (powered by DSPy)
 Multi-agent orchestration (think Kubernetes for agents)
 Context Engineering, Model Management, Memory Routing
 Declarative agent specification with SuperSpec (Think RSpec for Agent Engineering)
Ideal for teams moving from agent demos to scalable, maintainable systems.
Website: https://superoptix.ai
 Docs: https://superagenticai.github.io/superoptix-ai/
Would love your feedback from HN Community — we’ve put our soul into getting this right for agent developers and infra engineers. Happy to answer questions!

value: Show HN: SuperOptiX – Evaluate, Optimize, Orchestrate DSPy AI Agents – BDD Style


value: Show HN: Write HTML on HTML Paper

title: Show HN: Write HTML on HTML Paper


value: roubalsehgal

value:
I built https://launchboard.dev as a lightweight alternative to big launch sites like producthunt. No trending hacks, no algorithm games—just a public feed of new products, sorted by time and supported by real people.
What it has:
Upvotes and comments (but no hidden ranking tricks)
Clean product pages with custom URLs
No gatekeeping—anyone can launch
Built for indie hackers, small teams, and solo builders.
Would love feedback. It's live and open to all.

value: Show HN: LaunchBoard – Post your product, get feedback, skip the noise

author: roubalsehgal


value: rasadov

value:
Spent the last month building Fertit - basically a newsletter manager but you bring your own SMTP and skip the DevOps nightmare. All the features (subscriber management, admin dashboard, custom preferences) without the infrastructure markup.
The math that broke me:
Mailchimp: $230/month for 15k contacts
My solution: $10/month infrastructure + $10 SendGrid = unlimited
What I learned: The "enterprise" features are mostly database operations with SMTP APIs. But the 3 weeks of Go/PostgreSQL/Redis setup explains why people just pay ConvertKit $300/month.
Here's the thing: Even open-sourcing it, I realized most people don't want to deal with servers, Docker configs, and database migrations. So I built an affordable hosted service starting at $5/month. More features and security measurements, zero setup - just bring your SMTP and start sending. You get all the cost savings without any of the self-hosting headaches.
Now testing this hosted version at $5/month - middle ground between DIY pain and SaaS pricing.
Hosted version: https://www.fertit.com
Open source: https://github.com/rasadov/NewsletterManager
Anyone else tired of choosing between expensive self-hosting and expensive SaaS? Would love feedback on the approach.

value: Show HN: Built an email marketing platform after paying $230/month

author: rasadov


value: tidwall

value: Show HN: Pogocache – Fast caching software

author: tidwall


value:
But why you should watch this ?
1. No prior MCP knowledge needed-instantly actionable
2. Includes free labs with real code, and live demos
3. Watch and outpace everyone still stuck reading specs
4. The future of AI agents is powering up fast. Don’t miss this wave.

value: Show HN: Only video to understand Model Context Protocol (MCP) in depth


value: dannylmathews

value: Show HN: Inkverse - An Indie comics platform

author: dannylmathews


value:
Hi HN,
I'm building 47jobs, a marketplace connecting clients with "vibecoders" - developers who specialize in AI-assisted development.
What's vibecoding? Instead of writing code manually, vibecoders use natural language prompts with AI tools (GPT, Claude, v0) to rapidly prototype and build features. They describe what they want in plain English, and AI generates working code that they iterate on until it's production-ready.
The productivity gains are incredible - what used to take weeks now takes hours.
Why this matters:
- Traditional hiring focuses on syntax knowledge
- The real skill now is prompt engineering and AI collaboration
- Clients need rapid prototyping and validation
- There's no platform specifically for this new type of developer
I'm pre-selling early access passes ($47) to validate demand and build a community before launch. The response has been encouraging so far.
Would love HN's feedback on the concept and landing page: https://47jobs.xyz
Is this the future of development, or am I missing something?

value: Show HN: 47jobs – Marketplace for "Vibecoders"


value: pirimi

value: Show HN: Real Time Portfolio Optimization with Kafka and Flink

author: pirimi


value: jorgeoguerra

value:
Hey HN! We’re Jorge and Will from Lotas (https://www.lotas.ai/), and we’ve built an AI coding assistant into RStudio (think Cursor for RStudio).
RStudio is used by about 2 million data scientists and academics, but they currently lack a coding assistant within their IDE. Developers in other environments benefit from tools like Cursor and Windsurf, but R users don’t have any equivalent tools to speed up their workflow. Since ~80% of R programmers prefer to use RStudio over other IDEs like VSCode to write R code, we figured a tool like this one could be quite useful.
Both of us were PhD students at Harvard. Jorge was in the biophysics program and Will was in the biostatistics program where most people used RStudio every day. We saw how integrated code assistants were taking off in other IDEs, but we noticed that the RStudio integrations were still lagging far behind. Many R users were copying and pasting code from ChatGPT to build their workflows, and this was clearly slow and fragile.
To bring the Cursor-like experience to RStudio users, we built Rao (https://www.lotas.ai/): a fork of RStudio with an embedded AI assistant that is aware of the user’s local context (both files and variable environment), can read and write files, can run code or commands, and can interpret textual or visual output. It works with any of the file formats already in RStudio (R, notebooks including RMDs and QMDs, Python, Stan, etc.), allowing R programmers to iteratively perform entire data analyses inside their preferred IDE.
Other AI data science tools are either (1) built on the web or in environments people don’t already use, (2) are completely focused on python notebooks, or (3) are weak package-based assistants with limited functionality. Rao is exactly like the RStudio IDE that millions of data scientists already use, but it incorporates a powerful AI assistant and works with all the standard file types.
You can download Rao at https://www.lotas.ai/download, watch our demo on the homepage (https://www.lotas.ai/), and work through some example use cases on our GitHub (https://github.com/lotas-ai/rao/tree/main/demos). We have a one-week free trial (no card required) and provide 500 queries/month for $20/month after that. We’d love to hear feedback from the HN community to make Rao as useful as possible!
You can reach us at founders@lotas.ai.
P.S. We have zero data retention (ZDR) agreements with OpenAI and Anthropic, but we currently recommend users do not input sensitive or regulated data like PHI into Rao until we sign BAAs with both model providers. For more information on our security practices, please visit the security page on our website https://www.lotas.ai/security.

value: Show HN: Lotas – Cursor for RStudio

author: jorgeoguerra

title: Show HN: Lotas – Cursor for RStudio


value:
I’ve been fascinated (and mildly haunted) by how often MCP shows up on Hacker News.
So I made themcp.buzz: a simple site that tracks how many minutes have passed since MCP was last mentioned on HN.
I'm curious to know, Which MCP servers are you actually using regularly? Are you building MCP servers?

value: Show HN: TheMCP.buzz – Minutes since MCP was last mentioned on HN


value: branoco

value:
Hey HN,
We just launched an MVP for MakePostAI — a tool that helps people generate high-performing content for Instagram, TikTok, LinkedIn, and Twitter using AI.
It’s built for creators, marketers, and small teams who want to publish consistently but don’t have time (or energy) to write and design from scratch.
Right now we’re testing if this idea has legs...and we’re mostly focused on the landing page, positioning, and early feedback. If people show interest, we’ll add scheduling, auto-posting, and performance tracking.
We’d love honest feedback. Does this solve a real problem? Would you use this in your workflow? What’s missing?
Built by a small team bootstrapping from Europe. Happy to answer anything.

value: Show HN: MakePostAI AI that helps creators generate viral posts, reels and ideas

author: branoco


value: Show HN: AI design agent that creates editable creatives with Canva-like control


value: MisterSuricate

value: Show HN: CherylUI.Uno – A Mobile UI Library for Uno Platform (C#)

author: MisterSuricate


value: Show HN: Simple, reliable and efficient distributed task queues for C++17


value: sotoplatero

value:
I made ResignationDesk after noticing that “resignation letter” and related terms have solid search volume. It’s a simple tool: pick a tone, who you're writing to, and it uses ChatGPT to generate a clean letter.
Yes, anyone with ChatGPT could do the same—that’s the point. It’s not about the prompt, it’s about removing friction. No login, no fluff. Just faster.
This was mostly an SEO experiment to see how far a small, focused AI wrapper can go. So far, people are using it. Curious what others think.

value: Show HN: Another GPT wrapper. A boring tool that writes your resignation letter

author: sotoplatero


value: canergly

value:
It is released in IOS for now.
Android will be released in a couple of weeks.
Feel free to join to waitlist for Android;
https://www.waitlistr.com/lists/edb86ee6/contextcat-android-...

value: Show HN: I built a mobile app to help you read in a foreign language with LLMs

author: canergly


value:
As someone juggling multiple projects, I needed a project/task management tool that allowed me to clearly see and manage all my projects on the same board. Existing tools like Jira, ClickUp, and Trello didn't work for me because they are slow, overbloated, and not really designed to handle multiple projects efficiently. That's where t0ggles came in. t0ggles is a next-gen tool that leverages AI to enhance task creation, documentation, and collaboration, making it easier to handle complex workflows.
What sets t0ggles apart are its unique features, ordered by value:
- AI-Powered Task Creation: Effortlessly create tasks with AI that understands your needs, making it accurate and efficient. This feature alone has transformed how I manage tasks across multiple projects.
- Seamless Integrations: Connect with Figma and GitHub, with more integrations planned, to streamline your workflow. This integration has been crucial for maintaining a cohesive development process.
- Easy Data Migration: Import data from Trello, Jira, and more via CSV, XML, or JSON files for a smooth transition. This ensured I could bring all my existing data into t0ggles without hassle.
- Public Visibility and Community Feedback: Leverage community insights for valuable feedback, driving innovation and enhancing project suitability. This has been invaluable for refining my projects based on real-world input.
- Suitability for All Teams and Sizes: Versatile for all kinds and sizes of teams, offering a balance of power and simplicity. Whether you're a small team, a large enterprise, or a freelancer, t0ggles adapts to your needs.
- Focus on Simplicity and Intuition: A clean, modern interface that avoids unnecessary complexity, ensuring ease of use. This has made t0ggles a joy to use compared to other tools.
- Lifetime Access with One-Time Payment: No recurring fees, just a one-time payment for lifetime access and all future updates. This model provides long-term value and peace of mind.
- No Hidden Fees: Transparent pricing with all costs included in the plan. I appreciate knowing exactly what I'm paying for.
- Customizable and Modern Interface: Tailor the tool to your preferences with advanced customization options. This allows me to make t0ggles work exactly how I need it to.
I've used t0ggles to streamline my project management, and the AI has significantly improved my workflow. I'm curious to hear your thoughts on t0ggles. How do you see it fitting into your workflow? Any features you'd like to see added? Let's discuss!

value: Show HN: I Made t0ggles – Faster and More Efficient Than Jira and ClickUp


value: mawildoer

value: Surfacing all exceptions at once saves end-users time and frustration. Collecting and raising exceptions is also a great pattern to write robust, simple multi-path code.<p>I rolled this package out of MIT licensed atopile because I loved the pattern and wanted to use it elsewhere - hope you do too!

value: Show HN: Make the Most of Python's ExceptionGroups

author: mawildoer


value: y-eng

value: Show HN: McpX – A C# Library to Communicate with Mitsubishi PLCs via MC Protocol

author: y-eng


value:
I couldn't understand the hype around MCP so I decided to build a simple server for Outlook (requires admin in Azure).
For the build I just used a Python MCP SDK: https://github.com/modelcontextprotocol/python-sdk
Now, I'm not a fast dev. Still, in 2 days I had Claude Desktop filing and responding to emails better than any assistant I've worked with (human or otherwise). None of this was due to my skill. I was basically just wrapping msgraph calls in the same @mcp.tool decorator over and over.
In fact, I spent more time fiddling with msgraph auth & api-calls than I did on the MCP server itself.
Today, in a typical workflow, I just tell Claude to "sort my inbox" and it handles everything from filing mails, creating folders, writing responses, scheduling meetings, flagging actions, etc.
For anyone wondering about MCP, the following struck me:
1. It was the fastest "time-to-capable" I've had on any software build.
2. It was fully "human-capable" in a way that I have not experienced with "agentic workflow" approaches... it just worked.
3. There are nuances to how you "architect" your tool signatures for best results. For example, I had to name one parameter html_code_mail_body to prevent Claude from using plaintext in mails.
4. It was better to make pure, highly cohesive and atomic tools and let the LLM combine them for more complicated tasks.
5. It was so easy to build, all companies are likely to launch official MCP servers eventually.
Overall, I think MCP offers a stark alternative to the "agentic workflows" model. In a technical sense, each step in a workflow is highly coupled to its upstream/downstream counterpart. This makes them both rigid and fragile. That's the source of some of the "RPA smells" people talk about with workflow agents.
MCP is classic dependency inversion. The llm becomes an abstraction that can self-orchestrate using any tool it wants, in any order, based on the task set for it.

value: Show HN: Outlook MCP – I accidentally made the best email assistant


value: Share your links and love.

value: Show HN: LinkerSharer – anonymous link sharing with click counts

story_text: Share your links and love.


value: jpcom

value: Show HN: Japanese Sentence Analyzer

author: jpcom

title: Show HN: Japanese Sentence Analyzer


value: airobus

value:
Hello HN,
We're a small team of developers and data analysts who are also avid players of the Roblox game "Grow a Garden".
While playing, we found ourselves constantly switching between outdated wikis, sprawling spreadsheets, and Discord channels just to find reliable information on plant stats, pet abilities, and profit strategies. The data was scattered, often inaccurate, and it was taking the fun out of the game.
To solve this for ourselves and the community, we built Bone-Blossom.org. It's a dedicated, fan-made resource site that brings all the essential information and tools for "Grow a Garden" into one place.
Here’s what it offers:
- __Plant Database:__ A complete database of all in-game plants with up-to-date prices, mutation chances, and rarity info.
- __Profit Calculator:__ A tool to help you calculate potential earnings and optimize your garden layout for the best return.
- __In-depth Guides:__ Detailed guides covering everything from beginner basics to advanced strategies for the pet system and in-game events.
- __Community Hub:__ Links to community resources and a place to see fan creations.
What makes it different from a standard wiki is that our tools are integrated directly with our data. For example, the profit calculator pulls live data from our plant database. We're also committed to keeping the information current, with a small team dedicated to tracking game updates.
The project is built with Next.js, TypeScript, and Tailwind CSS.
You can try it out right now at __<https://Bone-Blossom.org>__. There’s no sign-up required; all guides and tools are freely accessible.
We just launched and would love to get your feedback. We're here to answer any questions you have!

value: Show HN: A fan-made resource site for the Roblox game Grow a Garden

author: airobus


value: senhorbardell

value: I build this AI agent after I’ve got rejected for a job. It is focuses on niche genres and thematic coherence. It uses Open AI speech to text, text to speech and completions api to fetch tracks from built in MCP server.

value: Show HN: SoundCloud Agentic Music Mixing

author: senhorbardell


value: rodrigogs

value:
Built a platform where AI-generated Italian brain-rot characters chat with users through other AIs – creating a perfectly absurd meta-loop.
What makes this interesting: 100% AI-coded project. I didn't write a single line of TypeScript – just acted as "AI whisperer" guiding Claude 3.7 and Claude 4 through architecture decisions and debugging.
This project isn't supposed to be useful – it's an experiment to test AI agents to their limits and see what emerges from pure human-AI collaboration.
Key highlights:
182/182 tests passing across monorepo packages
Dual build system (ESM + CJS)
Real-time AI character conversations with TTS
Glass morphism design that exceeded expectations
Multi-language support (6 languages)
The journey showed how AI coding evolved: Claude 3.7 needed constant supervision (creative but prone to "hallucinations"), while Claude 4 became a trusted partner delivering production-ready features autonomously.
Tech stack: Next.js 15, TypeScript monorepo with Turbo, LangChain, OpenAI integration, GitHub OAuth, Vercel deployment.
Source: https://github.com/rodrigogs/vibecode-playground

value: Show HN: Brain-rot Factory – Italian meme characters powered by AI (Next.js 15)

author: rodrigogs


value: wentin

value: Show HN: Typogram Studio – Figma for Typography

author: wentin


value: abdullahsahin

value:
Hi HN
After countless frustrating experiences browsing Amazon’s “Today’s Deals” section where product info is buried deeper than a Prime warehouse shelf, I decided to build something better.
⸻
Introducing GoodBargainDeals
A cleaner, faster, and smarter way to explore Amazon’s discounted products with all the details you actually care about in one view.
⸻
What’s wrong with Amazon’s “Today’s Deals”?
•Want to see a product’s real discount, reviews, and rating? You have to click into every single item.
•Trying to sort by price, discount, ratings, or end date? You can’t.
•Want to filter by subcategory without selecting the parent category first? Not possible.
•Curious how many units were sold last month? That information is not available.
•Want a quick AI summary of reviews? Only if Bezos hires GPT
⸻
What GoodBargainDeals does differently:
All info at a glance
Discounted price, original price, percentage off, rating, review count, Prime or fulfilled status, and estimated monthly sales are all visible on the listing page.
Smart filters and sorting
Sort by price, rating, review count, discount percentage, or deal end time. Filter by any category instantly, including deeply nested ones.
AI-powered summaries
Each product page includes a concise AI-generated summary of customer reviews so you know the real story before adding anything to your cart.
Real-time deal count
See exactly how many deals are currently live on Amazon.
⸻
Built solo, after hours
I’m a full-time developer with a family. I built this project late at night, fueled by coffee , curiosity, and the irrational urge to organize Amazon’s chaos.
This tool solves the exact pain points I experienced as a shopper. Now it’s live, and I’d love your feedback, suggestions, or support
⸻
Try it here → https://goodbargaindeals.com
If it helps you save money and time, I’ll consider every sleepless night worth it
Thanks for reading. May your cart always be full and your discounts always deep

value: Show HN: GoodBargainDeals – AI Summaries and Filters for Amazon Today's Deals

author: abdullahsahin


value: misonic

value: Show HN: AI Curated Feeds for Programmers

author: misonic


value: kentich

value:
For years, I’ve been obsessed with mapping code visually — originally by copy-pasting snippets into FreeMind to untangle large code bases in big complex projects. It worked, but it was clunky.
Now, I’ve built a VS Code/Visual Studio extension to do this natively: Code Mind Map. You can use it to add selected pieces of code to a mind map as nodes and then click to jump to the code from the map.
Developers say it’s especially useful for:
Untangling legacy code
 Onboarding into large codebases
 Debugging tangled workflows
Please try it out and let me know what you think!

value: Show HN: Code Mind Maps – A Fresh Perspective on Code Navigation

author: kentich


value: ShinMatsura

value:
Are you overwhelmed by the explosion of new AI tools and struggling to find the right ones for your needs?
Best AI Tool Finder is a comprehensive directory featuring over 1,500 handpicked AI tools, each thoroughly evaluated for usefulness, reliability, and real-world impact.
What sets us apart:
Expert-Curated Reports: Detailed reviews and “Deep Research Reports” assess tools across 13+ key criteria, including usability, data sources, transparency, and value—leveraging both expert and AI-led fact-checking.
Fresh & Trusted: Only tools with a proven track record and positive reviews across platforms are listed, with every addition vetted for at least 3 days after public release.
Search & Discovery: Effortlessly browse by category (Automation, Content Generation, Data Analysis, Marketing, Coding, and more), or jump straight to trending tags (AI Agent, AI Avatar, Workflow, etc.).
Cutting-Edge Trends: Stay updated on global AI news and the latest breakthroughs with our curated news summary and in-depth market analysis.
Open to Feedback: Correction and listing requests are welcomed to ensure accuracy and up-to-date information.
If you need to discover, compare, and select the best AI tools for productivity, automation, or business transformation—from startups to enterprises—check out Best AI Tool Finder!
User-centric, clean design, and completely free to use
Website: https://bestaitoolfinder.com/

value: Show HN: Best AI Tool Finder

author: ShinMatsura

title: Show HN: Best AI Tool Finder


value:
Most AI design tools give static images or templates.
I built an AI agent that creates 100% unique, fully editable graphics — with Canva-like drag, resize, and chat-to-edit controls.
Feedback appreciated!

value: Show HN: Cursor for graphics design (Think ChatGPT and Canva)


value: lostmsu

value: Some problems might have simple solutions.

value: Show HN: Tipfatigue.org

author: lostmsu

title: Show HN: Tipfatigue.org


value: airobus

value:
Hello everyone,
Recently, I created a fun little website: the Indian Dowry Calculator.
Based on your age, occupation, skin color, caste, etc., calculate how much dowry you can get in the Indian marriage market. The results might surprise you.
Of course, this is just a satirical project, aiming to make more people pay attention to the deeply - rooted dowry problem in India. I hope you all have fun while also doing some thinking.
Welcome to give it a try and see your "worth":
[https://dahejcalc.in](https://dahejcalc.in)

value: Show HN: Created an "Indian Dowry Calculator", Calculate How Much You're Worth?


value: rennysocially

value: Show HN: AI That's You

author: rennysocially

title: Show HN: AI That's You


value:
Most governance relies on centralized control and monetary incentives.
This protocol enables decentralized civic trust using non-monetary contribution signals.
It tracks:
- contribution history
- accumulated prestige
- system activity
These are integrated using a harmonizing logic that evolves over time and converges toward π, representing systemic equilibrium.
Designed to support self-organizing communities, with concepts inspired by biology and open collaboration.
Full documentation and mathematical specification here:
 https://github.com/contribution-protocol/contribution-protoc...

value: Show HN: A P2P Contribution-Based Protocol for Civic Trust


value: scottgg

value:
Hey HN!
I’ve been working on cargo-pup, a Rust tool for defining and enforcing architectural rules in your codebase - like ArchUnit for Java, or Clippy, but for project-specific architecture constraints rather than linting.
It lets you write architectural assertions in Rust using a builder-style API. For example:
Enforce layering: "REST modules shouldn’t use SQL clients"
Enforce consistency: "Types implementing MyTrait must be named MyTrait and live in Impl* modules"
Pup emits regular rustc lints (just like Clippy or cargo check) and runs either as a test or via a `cargo pup` CLI, the latter of which you can drop into your CI.
This is very early days! I work at Datadog, but this isn’t an official project — just something I built to explore what architectural linting might look like in Rust, and to scratch my own itch :)
Would love any feedback or questions!
Scott

value: Show HN: Cargo-pup – ArchUnit-style linting for rust

author: scottgg


value: piotraleksander

value: Show HN: Vibe Blogging – turn any post into an interactive app

author: piotraleksander


value:
Hi HN,
I wanted to share a project I built in a strange but productive pair-programming "trip" with a large language model. The goal was to create my own automated "First Officer"—a tool that handles the tactical grunt work of finding common vulnerabilities while I focus on the strategic, human-led parts of a security assessment.
The result is Nightcrawler, an open-source CLI proxy and scanner built on Python & mitmproxy.
How it works: You run it and browse a target app through it. While you navigate, Nightcrawler passively finds insecure headers, outdated JS, and JWTs, while its active scanners autonomously test every discovered link and form for XSS, SQLi, Directory Traversal, and more.
The development process felt exactly like Captain Picard directing Commander Riker. I'd give the strategic orders ("We need to detect Stored XSS"), and the LLM would execute the tactical implementation. It was incredibly fast, but also highlighted the current limits of AI—it required constant human oversight to fix the subtle bugs and "hallucinations" it introduced.
The tool is still in beta (pip install nightcrawler-mitm). I'd love to get your feedback, bug reports, or ideas on what to build next.
Thanks for checking it out!

value: Show HN: Nightcrawler – A scanner that finds low-hanging fruit while you work


value:
Hi HN! I've built Grid9, an open-source coordinate compression system that achieves what3words-level precision (3 meters) in just 9 characters instead of 19+.
The motivation came from working with autonomous vehicle systems where bandwidth is precious and coordinate transmission is constant. Traditional lat/lon pairs are verbose (often 20+ characters), and while what3words is brilliant, even their 3-word format is lengthy for high-frequency telemetry.
*Technical approach:*
Grid9 uses uniform coordinate quantization - direct quantization in degree space with optimized bit allocation (22-bit latitude, 23-bit longitude). This simple approach achieves consistent precision globally without complex projections or circular dependencies. The result packs into exactly 45 bits, encoding perfectly as 9 base32 characters.
*Performance:*
- Encoding: 6.4M ops/second
- Decoding: 7.0M ops/second
- Memory: 32 bytes per operation
- Written in C# with zero dependencies
*Example conversions:*
```
40.7128, -74.0060  →  Q7KH2BBYF  (NYC)
51.5074, -0.1278   →  S50MBZX2Y  (London)
35.6762, 139.6503  →  PAYMZ39T7  (Tokyo)
```
*Human-readable format:*
Grid9 also supports XXX-XXX-XXX formatting for operations teams: `Q7K-H2B-BYF`
*Trade-offs:*
- Fixed precision: Always 2.4-3.5m globally (vs variable precision systems)
- Non-memorable: Unlike what3words' dictionary approach
- Uniform coverage: Same precision everywhere (cities, rural, oceans, poles)
*Use cases:*
Originally built for autonomous vehicles, but applicable to drone operations, precision agriculture, IoT sensors, emergency response, and any system needing compact location encoding.
GitHub: https://github.com/pedrof69/Grid9
Live demo: https://pedrof69.github.io/Grid9/
The code is MIT-licensed for non-commercial use, with commercial licensing available. I'm actively maintaining it and would love feedback from the HN community!

value: Show HN: Grid9 – 9-character coordinate compression with 3M precision


value: akoculu

value: Show HN: Mitte – AI Creative Suite

author: akoculu

title: Show HN: Mitte – AI Creative Suite


value: karlperera

value:
Hey HN, It's easy to get caught in the trap of thinking the next expensive piece of gear is what's holding your astrophotography back. I've found that the biggest gains often come from improving my processing skills, not the hardware. To test this idea, I took some of my old data going back four years and reprocessed it from scratch using my current workflow. The difference is night and day!
I made a video walking through the entire process to show how much potential is hiding in the data you probably already have. It covers my main steps in Siril, Photoshop and SETI Astro Suite from the initial background extraction and color calibration to using modern tools like Cosmic Clarity and Graxpert to really make the details pop.
My hope is to show that focusing on your post-processing technique is often the most effective upgrade you can make. Happy to answer any questions about the workflow!

value: Show HN: Stop buying expensive gear, improve your processing skills instead

author: karlperera


value: klemenvod

value:
You wake up with a weird headache. You feel unusually tired. You notice a strange rash in a private area... Relatable? In that moment, you just want reliable answers. If you're lucky, you have a doctor in the family or live somewhere with a functioning healthcare system, but most likely you're just googling your symptoms (and getting terrified you have cancer).
We're a team of four with medical and engineering backgrounds, and we built MedAsk to help in that moment of uncertainty. Here's what it does:
- Symptom Guidance: Different from general LLMs, which overconfidently give you diagnoses with minimal information, it guides you through your symptoms using a structured approach.
- Intelligent Triage: Based on the conversation, it suggests potential next steps, from self-care to seeing a GP or seeking urgent care. Its triage accuracy is 12% better than o3*.
- Appointment Prep: MedAsk generates a clear, structured summary of your symptoms, timeline, and concerns. You can bring this to your appointment for a more focused, productive conversation. In a small pilot, 80% of users reported it improved the quality of their visit.
We're using a combination of LLMs fine-tuned on synthetic medical data plus RAG for clinical grounding. The goal is to make high-quality healthcare guidance accessible and help both patients and doctors get more out of their time together.
The assessment takes ~3 minutes. No login or personal info required. Would be grateful for the HN community's feedback.
 Try it here: https://app.medask.tech/
Disclaimer: MedAsk is a tool for preparation and guidance. It is not a diagnostic tool and does not replace professional medical advice.

value: Show HN: MedAsk – Healthcare companion for symptom guidance and doc visit prep

author: klemenvod


value: pguiraoc

value:
Hi HN, I'm Pau and I just launched Brightshot (https://bright-shot.com/) — a tool that uses AI to enhance and virtually stage real estate photos.
The idea started when I was looking to buy my own apartment in my hometown. I was constantly frustrated by poor-quality listing photos — dark rooms, cluttered spaces, and angles that didn’t show much. I couldn’t tell whether the place had natural light, or even what it really looked like. The only way to know was to visit in person, which I didn’t always have time for.
That’s when I thought: what if there was a way to improve those photos automatically? Not just by making them look a bit nicer, but by actually revealing the potential of the space — clearer lighting, better framing, less visual noise, and even virtual staging. That’s what Brightshot does.
You can upload any photo — a living room, kitchen, exterior, whatever — and Brightshot will improve it automatically. It enhances lighting and clarity, removes visual clutter, and can even virtually furnish an empty space. You can also generate different lighting versions of the same room (like how it looks in the morning vs. evening), or create a short video walkthrough based on a single image.
I built it using a set of AI models tailored to real estate photography. Right now I’m working on batch editing for agencies, more customizable staging styles, and integrations for property platforms.
Would love to hear your thoughts — especially if you’ve ever rented, sold, or photographed a place. Does this solve a real pain? What’s missing? Would you trust AI-enhanced images for your own listing?
Thanks for reading!
— Pau

value: Show HN: BrightShot – AI photo enhancement and virtual staging for real estate

author: pguiraoc


value: Show HN: Unify Protocol - Entity-First Abstraction Protocol


value: danielfulop

value:
Hi HN,
I built TurboStyle, a Chrome extension that lets you visually edit CSS properties directly on any website - no dev tools or code required.
A few features:
- Edit styles, text, images, and videos in-place
- Toggle between mobile/tablet/desktop previews
- See before/after comparisons
- Export CSS
- Create and reuse style presets
Would love your feedback, ideas, or opinions.

value: Show HN: TurboStyle – Visual CSS editor inside the browser

author: danielfulop


value: Showcase yourself and your work to get noticed. Open-source, free, no ads.

value: Show HN: Coder.ninja - OSS Directory for projects and coders.


value: asquithdenardis

value: Show HN: KeyVocab – drill vocab while you type

author: asquithdenardis


value: Show HN: Desktop YouTube Music with Native UI and Plugin SDK


value: nicnocquee

value: I’m on a tight budget and don’t want to add another tool my tech stack, so I created this. I’d love your feedback!

value: Show HN: Simple Background Job with PostgreSQL

author: nicnocquee


value: Show HN: Arc OS – spec-first audit layer for GPT prompts (MD and self-check)


value: thillaimax

value:
Hello Members,
        we are excited to share something have been working on VivaQuest<p>It’s a simple AI-powered platform to help students and job seekers practice interviews, get instant feedback, and improve their resumes. Whether you are preparing for your first job or a big career move, VivaQuest is built to make interview prep easier, faster, and less stressful.

value: Show HN: AI Powered Mock Interview Practice Platform

author: thillaimax


value: soasme

value: Show HN: InkyCut – The open-source Canva alternative with a vibe editor

author: soasme


value: negretteedie

value: Show HN: Unstyled, accessible components from Radix/Floating UI/MUI team

author: negretteedie


value: Usef

value:
Hey HN,
I'm a 16 y/o indie hacker building tools for freelancers and solo workers.
I just launched the Focus Power Bundle — it includes:
TimeSnap – A lightweight desktop app that tracks your focus sessions and blocks distractions by letting you whitelist allowed apps. No bloated features, just clean, effective deep work sessions with automatic distraction tracking.
25 Ways to Unlock Your Productivity – A practical eBook breaking down 25 tactics like the Ivy Lee method, 1-3-5 rule, two-minute rule, and more – all in a digestible format you can implement immediately.
The app is distraction-proof, aesthetically minimal, and gives you analytics to reflect on how you spend time.
 The book is short, actionable, and made to help you systemize focus without burning out.
Try the bundle ($25.99 one-time): https://usefsgh.gumroad.com/l/rhahwkb
Would love feedback on the product, landing, or ideas to improve it!
Thanks for reading

value: Show HN: Focus Bundle – A Minimal Desktop Focus App and 25 Productivity Tactics

author: Usef


value: Show HN: Update on Dispytch: Just Got Dynamic Topics – Event Handling Leveled Up


value: moskogaige

value: Show HN: Dyad – build AI apps locally, no cloud

author: moskogaige


value: birdinleconey

value: Show HN: Effect – TypeScript's functional effect system and monorepo toolkit

author: birdinleconey


value: jsomers

value:
I’ve long thought that the Word of the Day was a wasted genre. The goal should be to give you words you can use; to enrich your understanding of words you already know; or at least to use words to tell you something neat about the world.
Instead, what you usually get is words that will never be used in conversation, held up as curios. Some examples from Dictionary.com’s daily email: thewless, balladmonger, vagility, contextomy. These words are... not useful.
I’ve always thought I could do better. My friend Ben recently created a daily puzzle game, called Bracket City, launched here on HN [1], which I like because it takes about the same amount of time as Wordle but has some of the variety and artistry of a good crossword.
Ben agreed to let me write a word of the day for the game’s audience. We’ve collected them all here: https://bracket.city/words. It’s such a joy to write -- every day, I pay homage to a word I love or use or have newly discovered. I find myself paying more attention to words I encounter, thinking if they deserve a place.
It’s also fun for another reason. Many years ago I wrote a blog post, "You’re probably using the wrong dictionary" [2], that made the rounds and actually still finds new readers today. It was about how the modern-day dictionaries we find by default on our iPhones and web browsers are actually kind of bureaucratic and lifeless. Through a writer I love, John McPhee, I rediscovered Webster’s 1913 dictionary, which feels like it was written by a thinking person who loved words. I still consult it all the time. Writing a word of the day has reminded me just how delightful and useful Webster’s old dictionary is -- and reacquainted me with the OED, which I now look to every day, and which I discovered you can access with your library card.
Some of my favorite entries so far: sophisticated, twee, gravitas, blockbuster, meteorologist, send, bid. There are more than 175 now -- and more coming once a day, every day, for as long as Bracket City stands.
To sign up to see each word of the day as it’s published, go to https://bracket.city/words.
[1] https://news.ycombinator.com/item?id=43622719
[2] https://jsomers.net/blog/dictionary

value: Show HN: A word of the day that doesn't suck

author: jsomers


value: TulioKBR

value:
Hello, Hacker News.I'm an entrepreneur, not a programmer.
My biggest roadblock has always been the same: turning a business idea into a viable technical and architectural blueprint. I found that while generative AIs are great at isolated tasks, they lose context and fail to maintain coherence on complex systems. To solve this, I built ORUS, a personal system that evolved into a "genesis engine." It transforms a single line of intent into a detailed project plan.How It Works: Synthesis, Not Just GenerationThe core of ORUS is based on two concepts:1.Fragments: I created a library of over 1,300 "Fragments"—encapsulated units of structured knowledge like business models, architectural patterns, and strategic frameworks. Each carries not just data, but purpose.2.ExtractionCore: An orchestrator agent that synthesizes a curated set of Fragments to respond to an intent.
The workflow is straightforward. In a workspace, I select ~20 relevant Fragments and provide a concise command:Alfa.extractioncore.extract "An enterprise-grade platform for real-time customer intelligence"I discovered this structured, command-based syntax makes the AI "listen" with a focus that plain English can't achieve. It's like using the model's native language to guide its reasoning.AlphaLang: An Emergent DSL for CognitionFrom this process, a specification language emerged naturally, which I call AlphaLang. It's not a programming language (no compiler yet), but a protocol for communicating complex design concepts to an AI. It's my attempt to formalize the structure of thought to get structured results.Stress-Testing the EngineTo validate ORUS's robustness, I scaled the complexity of the tasks:•Product Test (High Complexity): Intent: "A SaaS model for delivery logistics optimization." Result: Generated a complete business and technical blueprint, including name, KPIs, monetization model, and tech roadmap.•Architecture Test (Very High Complexity): Intent: "An enterprise-grade platform for real-time customer intelligence." Result: Produced a detailed microservices architecture with technologies, data flows, and scalability considerations.•Genesis Test (Extreme Complexity): Intent: "A genesis engine that turns one-line intents into full-stack blueprints." (I asked ORUS to design itself.) Result: It demonstrated meta-reasoning, generating a blueprint for an "ORUS Command Scripter" and a "Cognitive Interface," effectively planning its own evolution.The Proof: Raw Artifacts on GitHubThe best proof is the unedited output. I've created a GitHub repo with the blueprints generated directly by the system. All these Fragments were generated in under 40 seconds. You can test it yourself: load any of these Fragments into your preferred LLM and activate it using the commands provided in the files. Just upload the document and run the command.To show the full potential, one blueprint was then fed into another system I built, which transformed it into a complete SaaS business plan—from features and pricing to GTM strategy. I'm making everything available.You can find it all here: https://github.com/KAYCHAIN11/ORUS-Genesis-ArtifactsVision and Next StepsI'm building this alone, unfunded, in my spare time. My goal isn't to create a new AI, but to give existing AIs "contextual life"—an identity, memory, and purpose that generic tools lack.
The next step is to build the production tools, like a compiler for AlphaLang. I'm sharing this today not as a finished product, but as a methodology and evidence that an "architecture-first" approach can be a powerful new way to build.I'd love to hear your thoughts:
•Does this concept of a "synthetic genesis engine" resonate with other founders or builders (technical or not)?
•What are the blind spots or risks of a system whose knowledge is curated by a single person?•What's your take on using a DSL like AlphaLang to guide AI on complex design tasks, instead of relying on natural language?Thanks for reading.
 I'm here to answer questions

value: Show HN: I'm a non-coder who turns 1-line intents into full-stack blueprints

author: TulioKBR


value: xvok

value: Launched in alpha, forward your email you need someone chased down on (for approvals or otherwise) to chaseai@mail.starferret.com with a sentence of instructions, login to https://chaseai-inbound-crew.pages.dev, then watch it go

value: Show HN: I Built an AI Crew for Chasing Down Follow-Up Emails

author: xvok


value: theasteve

value:
Hey Ya'll!
My name is Steven and Im launching invoicebloom.io for Professional Invoicing & CRM for Small Businesses & Freelancers. Im a software developer and I sometimes work as a freelancer. Since some of freelance jobs were sidegigs I always just required payment in zelle or cash app. However, some of my clients kept requesting me for invoices for record keeping purposes. I also starting noticing that I kept going back to my email to check for client's information regarding past jobs I have done.
So I decided to go on the hunt for some software that was cheap and work nicely and I did the quickbooks $4 plan. Oh Boy!!!
This wasn't at all that fun! you start noticing that any change you make or other feature you want to make is an upsell to a different plan. I was really unhappy!
So I decided to make one for my self! little by little I started adding more functionality for this app. Until I noticed myself using it more frequently. I wasn't sure if this was useful for others so I shared it in my slack spaces.
Then I started receiving requests for features such as "Steve can you add client profiles so I can email and call from the profile card" and so today Im sharing with you all an app that has been used for a couple of months by freelancers and small business owners.
It has 5 free invoices per month. and it only costs $9.99. Its free to sign up and use. Would love to hear what you think about it.
Some of the features are:
Create Professional Invoices: Design polished invoices in minutes with customizable templates.
Send PDF Emails: Automatically generate and email PDF invoices to clients.
Manage Clients with Built-in CRM: Keep tabs on client details, payment statuses (Draft, Sent, Paid), and communications in one dashboard.
Save Time: Automate repetitive tasks to focus on growing your business.
Would love to hear what you think about it!

value: Show HN: Invoicebloom.io – Professional Invoicing and CRM

author: theasteve


value: finamoremcc

value: Show HN: Folo – one timeline, zero noise

author: finamoremcc


value: bulibas

value:
It all started a few years ago a childhood friend of mine - Sissi - moved to Germany to study. She was also working to support her studies. We had a phone call and she sounded pretty down, so I wanted to make a small gift to put a quick smile on her face.
I was considering standard remote gifting options - sending flowers, buying a digital voucher for X amount or even sending money with a "go out and grab a beer on me message" (turns out people do that). Non of those options had a personal touch, non of those was informal or a surprise.
Fast forward, I've build a platform for emotional and spontaneous gestures from a distance - like gifting your friend in New York a matcha latte or your friend in London a pint in a cool bar. Always something specific from the menu of the bar/cafe/restaurant - with a thought behind. Because drinks and food always tell a story.
It's called BEVUP.
Not a social media, but a social tool and a new category of digital gifting.
We are still pretty early but an MVP app is live and we partner with some amazing venues in 18 countries. Mostly in Europe, in cities like Amsterdam, Paris, Prague, Lisbon, Liverpool and more. Not yet in the USA but we'd love to launch there
Would love to get some feedback on our concept, the platform and would love to hear about your use cases.
Cheers,
Atanas

value: Show HN: Surprise your friends – remote gifting alternative

author: bulibas


value: zzsshh

value:
Hi HN,
We’re a two‑person team (Anika & Zeeshaan) and we’ve spent the last 8 months building The Influencer AI:  https://www.theinfluencer.ai
What it does:
Spin up a consistent AI persona from either a handful of trait sliders or
~10 photos of a real person (yourself, a model, a client).
Use that same "AI influencer" to generate:
- photos & virtual try‑ons
- talking‑head video reels (image‑to‑video + voice)
-ad creatives in any pose, setting or style.
All assets come with full commercial rights.
How it works under the hood:
Frontend: Next.js 15 (static where possible)
Backend / Auth: Supabase
Replicate/FalAI for AI models
Pricing / free tier
Plans: $19, $39 (typical), $99 per month.
Looking for feedback on
Does “one consistent AI person” actually solve a pain you have?
Which feature (or price point) would make this a no‑brainer?
Any red flags in UX, copy, or tech stack decisions?
Happy to set anyone up with extra credits for testing and answer questions. Thanks for reading, and would love to hear any thoughts.

value: Show HN: The Influencer AI – consistent AI "models" for photos and talking video

author: zzsshh


value: tajd

value:
I wanted to be able to share the react components I create quickly from claude easily with friends and colleagues, so I built this.
There's a few similar solutions that work for raw html and js, or allow you to develop the code side by side. Those didn't quite work for me as I wanted to be able to have a shareable link to the components I build and hide the complexity of the code on a gist - and still have that accessible.
I built it with react and vite and I'm hosting it on cloudflare workers.
Please let me know what you think - feedback encouraged!

value: Show HN: A simple sharing site for react components hosted as gists

author: tajd


value: arbesman

value:
I recently published a book called “The Magic of Code” which is about the delights of the computational world, examining computing as a kind of “humanistic liberal art” that connects to so many topics, from art and biology to philosophy and language. The link I’ve shared is to a page on my book’s website where you can download a pdf of the introduction, to give HN readers a taste of what is inside.
Right now there is so much worry and concern around technology that I feel like some people—though not the folks here—have forgotten how much fun that code and computation can also be. So I wanted to rekindle some of that sense of wonder.
But, as I’ve written elsewhere, this is also the kind of book I wish I had when I was younger and getting interested in computers. I’ve always enjoyed the kinds of writing that talks about computing but in the context of so many other big ideas, especially ones I’ve explored at various points in my own life, from evolution to simulation. And that’s what I tried to do.
But while “The Magic of Code” is certainly for a wide audience, and for people who are unfamiliar with programming and code, I’ve also (hopefully!) designed it to be of interest to those who are more expert in this realm, with lots of rabbit holes and strange ideas to pursue. And if there exists a genre of book to explain to outsiders why you love a topic, this is in that genre, for computing and code. I think the HN community will really enjoy it.

value: Show HN: The Magic of Code – book about the wonders and weirdness of computation

author: arbesman


value: wklm

value:
I got tired of clicking through 47 menus just to create a simple interval workout in Garmin Connect. So I built garmin-workouts-mcp - a Python tool that turns Markdown files into Garmin workouts and syncs them automatically.
As an amateur runner with decent fitness (VO2max 57), I decided to get serious about structured training this year. Problem: I started late, and Garmin's built-in plans are about as flexible as a brick. They wanted me doing base-building when I needed to be ramping up intensity. The web interface for creating custom workouts feels like it was designed by someone who hates both runners and UI design.
The tool uses the MCP protocol to integrate with Claude code, so you can describe workouts in plain English. Write "5x1km at threshold with 2min rest" in a Markdown file, run the command, and it appears in Garmin Connect.
I've included my own training_plan.md in the repo. Fair warning: it's cobbled together from various articles and optimistic assumptions about my abilities. Feel free to roast my questionable periodization choices and overly ambitious interval sessions.

value: Show HN: Upload training plans defined in natural language into you Garmin watch

author: wklm


value: aleyan

value: Show HN: Dela, a Delegating Task Runner

author: aleyan

title: Show HN: Dela, a Delegating Task Runner


value: harperhuang

value:
Today I made some major updates to the site:
1. Added "Expression Mode" and "Context Mode": Expression mode for learning natural usage, Context mode for understanding situational responses
2. To improve speed and AI quality, limited language selection from 20 to 6. Also added character limits: Expression and Context modes max 200 characters, Translation mode max 500 characters.
3. Upgraded the LLM model - much better comprehension and translation quality, with improved speed too.
Try it out: https://howtosay.cc

value: Show HN: ToSay v2.0 – Added Expression and Context modes, upgraded AI model

author: harperhuang


value: zhaoyaozu

value: Need a quick escape? Traffic Road is a free browser game where you weave through endless traffic, testing your reflexes and focus. No downloads, no sign-ups—just pure, addictive fun. See how far you can go before the next crash!

value: Show HN: Try Traffic Road – Free, Fast-Paced Car Dodging Game in the Browser

author: zhaoyaozu


value: MiniGameCenter is a client app that lets you access and play over 100 free casual games in one place. No ads, no hassle—just pure fun on your desktop or mobile. Perfect for quick gaming breaks!

value: Show HN: MiniGameCenter: Play 100 Free Games in One App


value: You’ve probably seen those star history charts people add to their readme before. However, they’re usually all the same color, which can be a bit boring. So, I built this simple tool to let you customize your star history chart to match your project’s branding.<p>It’s completely free and open source!

value: Show HN: Customizable repo star history chart generator


value: daveymoores

value: Show HN: Carrick – Automated API Validation Across Microservices

author: daveymoores


value: yehors

value:
A new lightweight model to do machine translation Ukrainian<->English using recently published LFM2 model by LiquidAI.
Ukrainian to English: https://huggingface.co/Yehor/kulyk-uk-en
English to Ukrainian: https://huggingface.co/Yehor/kulyk-en-uk
With llama-server it gives 60 tokens/sec. on Apple M1, with NVIDIA RTX 3090 Ti it's faster around 230 tokens/sec with batch size = 1.

value: Show HN: kulyk-uk-en and kulyk-en-uk

author: yehors

title: Show HN: kulyk-uk-en and kulyk-en-uk


value: freeourdays

value:
I built Tiny Idea (https://tinyidea.net) to solve a problem I had myself – finding vetted, actionable business ideas without wading through endless generic advice.
What it does:
1.Curates profitable business ideas and side hustle opportunities daily
2.Each idea includes actionable steps to get started
3.Categories range from tech to local services
4.Users can bookmark favorites and engage with the community
5.Focus on low-barrier, "tiny" ideas that don't require massive capital
Tech stack:
1.Next.js 15 with App Router for optimal SEO
2.Tailwind CSS + shadcn/ui for clean, responsive design
3.Turso (LibSQL) for the database
4.Fully server-side rendered for performance
Why I built this:
Too many "business idea" sites are either too vague or focus on unicorn startups. I wanted something practical – ideas you could actually start this weekend with minimal investment. The "tiny idea, huge potential" philosophy drives everything.
The site gets updated daily with fresh content, and I've focused heavily on SEO optimization to help people discover these opportunities organically.
Would love feedback from the HN community! What features would make this more useful for aspiring entrepreneurs?

value: Show HN: Tiny Idea – Daily curated profitable business ideas and side hustles

author: freeourdays


value: selmetwa

value: Parallel Arabic is a modern, all-in-one platform for learning Arabic dialects and Modern Standard Arabic. You can choose from six major varieties. Egyptian, Levantine, Moroccan, Khaleeji, Iraqi, and Modern Standard Arabic, each supported with native-like, automatically generated audio.<p>The app offers engaging tools like AI generated short stories, speaking practice, sentence building, vocabulary, and even writing (depending on the dialect), making it easy to build real-world language skills in the dialect that matters most to you.

value: Show HN: Parallel Arabic – Arabic reading and writing practice

author: selmetwa


value: duckulus

value:
SynSniff uses passive TCP/IP fingerprinting to reveal details about a players connection. Think of it as p0f for Minecraft.
On our server we've seen many banned players attempt to evade their ban by using alternative Accounts. To combat this we analyze secondary traits, most notably their IP address. But building an effective anti-evasion system requires multiple datapoints that are hard for clients to spoof. That's what motivated this project.
SynSniff uses pcap to inspect incoming TCP/IP packets and correlates them with player joins by comparing source IP and port.
It then attempts to identify the player's operating system by comparing TCP/IP characteristics (like TCP options, window size) to reference samples from Linux, Windows and macOS. While the current detection logic is relatively simple, the results so far have been surprisingly accurate.
There's also an API for plugin developers to access fingerprint and OS data and integrate it into their systems.

value: Show HN: SynSniff- Detect Minecraft Client OS via TCP/IP Fingerprinting

author: duckulus


value: ashafq

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author: ashafq


value: danfunk

value:
*The Problem:* AI decisions are opaque to business users
*The Solution:* AI agents are defined as flow-chart diagrams that are easier to understand and control.  The diagram and agent are one and the same: The diagram defines the actions of the agent.
*Why It Matters:* Understanding, explaining, and controlling an AI app’s decisions is extremely important to many organizations.  In McKinsey's 2024 survey of the state of AI, 40% of respondents identified "explainability" as a major risk of adopting AI, but only 17% were actively working to mitigate the problem.
*Try It:* https://spiff.works/agent-demo - Try modifying the workflow diagram and settings to see how the AI behavior changes.  You can change everything.
*Technical Details:* A complete technical review of our thought process in building this demo: https://medium.com/spiffworkflow/how-bpmn-helps-solve-ais-tr...
This project demonstrates one possible way to create greater transparency in an AI agent.  While the code embedded in the diagram is moderately technical (short Python scripts) and relies on a rigorous notation (BPMN), we have repeatedly demonstrated that it is possible to show these diagrams to an average business user and reach a high level of understanding about the AI’s role within a larger process.  We believe that understanding is critical to the safe and effective application of AI into the organizations and governments we depend on.

value: Show HN: Reduce AI's Black Box Problem with Living Diagrams (Interactive Demo)

author: danfunk


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