value: droidHZ

value:
Hi HN!
I’m an indie dev who got hooked on Palworld’s breeding system and built a tool to make planning less painful:
What it does
Forward calc: Pick two parents → instantly see the child.
Reverse lookup: Enter a target Pal → list all valid parent pairs.
Shortest-step planner: I model breeding as a graph and run a shortest‑path algorithm (Dijkstra/BFS variant) to find the minimal number of breeding steps from what you already own to the target.
Breeding tree visualizer: Expand/collapse an interactive tree of combos to understand the route at a glance.
Combination browser: Search/filter all possible parent-child sets.
Tech bits
Next.js + static JSON data (scraped/cleaned from public sources), deployed on Vercel/Cloudflare.
Precomputed indices for fast reverse lookups; client-side memoization and caching.
Graph layer treats each Pal as a node; edges represent “(A,B) → C” relationships. Since that’s technically a hyperedge, I flatten it into a weighted graph so a shortest-path algorithm can run efficiently.
No trackers/popups; just a single AdSense slot (feedback welcome on this).
What I’d love feedback on
UX: Is the flow from “I have X and want Y” smooth enough?
Performance/mobile: Any obvious bottlenecks?
Data correctness: Spot inaccuracies or missing combos?
Link: https://www.palworldbreedingcalculator.org/
Thanks for reading! I’ll be around to answer questions and ship fixes quickly.

value: Show HN: Palworld Breeding Calculator – Breeding Tree and Combination Visualizer

author: droidHZ


value: risquer

value: Show HN: Tinder but it's only pictures of my wife and I can only swipe right

author: risquer


value: nubani

value:
We’re launching Dealerlytix, a SaaS platform that helps car dealerships make smarter buy/sell decisions with AI.
Problem:
Dealers often guess which cars to buy, how to price them, and how long they’ll sit on the lot. Most rely on gut instinct or basic tools that don’t leverage their own historical data.
Solution:
Dealerlytix connects to your inventory data and gives you:
 •  AI vehicle scoring: Predict sale speed, profit margin, and optimal price before you acquire a unit.
 •  Smart inventory assistant: Ask questions like “Which SUVs under $30k sell fastest at my store?”
 •  Lifecycle tracking: Repricing history, profit snapshots, color trends, and seasonal performance.
We focus on your dealership’s actual performance history, not generic market trends.
Who it’s for:
Independent dealers, auto groups, and high-volume used car operations that want to turn their data into smarter decisions—and more profit.
Looking for:
 • Feedback from SaaS founders and devs
 • Dealership insiders to pilot the platform
 • Smart closers to help us scale sales (remote + commission)
Live now at: https://dealerlytix.com
Would love your thoughts.

value: Show HN: Dealerlytix: AI Inventory Intelligence for Car Dealerships

author: nubani


value:
Hi HN,
A few months ago, I started experimenting with building AI agents as Slack bots. What began as a fun weekend project has now evolved into a core part of how our team works every day. These bots live in Slack and handle real, non-trivial workflows such as:
- When a new signup comes in, one of them enriches the lead via Apollo, drafts a personalized email, and drops it into my mailbox.
- If someone mentions a new task in any channel, the bot jumps in, asks a few clarifying questions, and files a Linear ticket.
- Collecting customer info from Stripe for transaction failures and bringing it into the slack thread automatically.
- Scouring the web and drafting blog posts - sure you can do this with ChatGPT. But doing it collaboratively on Slack gives a different overall experience.
- We even made them proactive. For example, if someone talks about sprint planning, the bot jumps into the thread and asks if it should help break things down into tasks.
At first, this felt like "just automation." But what surprised us was how collaborative it became.
Since the agents live in public Slack threads, teammates started observing how others interacted with them — how people phrased prompts, tagged bots, corrected outputs. It turned into a sort of lightweight, social learning system. Everyone got better at prompting and thinking in “agentic workflows” just by being part of the conversation.
We also built a lightweight dashboard to help anyone on the team spin up and deploy new bots, manage access, customize behavior, and attach tools.
Demo: Here’s a short video of one of our bots in action — it self-corrects, navigates tools like Linear and internal APIs, and finishes the task end-to-end.
Stack:
- Vercel AI SDK
- axllm.dev(DSPy for typescript) for the agentic loop
- Composio for tool integrations
We are now running a closed beta for anyone interested in deploying Slack bots as agents. If interested, join our waitlist - https://heyzest.ai/

value: Show HN: Zest – AI Agents for Slack

title: Show HN: Zest – AI Agents for Slack


value: Show HN: Quite Fast, sharded cache for Go with LRU/LFU, TTL and object pooling


value: wasivis

value:
I recently built my first ElectronJs app, a minimalist video compressor called DrinkMe. It uses a two-pass FFmpeg encode and estimates the final size based on the original video’s duration, resolution, quality, and size.
The idea behind it is to provide an alternative for non-power users who struggle/don't want to learn how to use CLI-based programs like FFmpeg, or even Handbrake (whose myriad of settings and options CAN be overwhelming).
The target reduction is usually around 80–85% of the original for high-res files, but it adjusts dynamically if the video’s already compressed.
All feedback is welcome!

value: Show HN: DrinkMe – A Minimalist Video Compressor

author: wasivis


value: cranberryturkey

value:
Hi HN,
I’ve been tinkering with ultra‑simple blockchain games and built ETHShot.io, a tiny dApp where each “shot” at a jackpot costs 0.0005 test‑ETH and has a 1 % chance to win the whole pot. It’s live only on the Sepolia/Goerli testnets, so no real ETH is involved.
How it works
- Connect a testnet wallet (MetaMask, Rabby, etc.).
- Each transaction (“shot”) sends 0.0005 test‑ETH to the contract.
- On every shot there’s exactly a 1 % chance the contract pays the entire pot to the sender.
- Non‑winning shots add to the pot minus a small maintenance fee.
0 Contract is under 80 lines of Solidity; front‑end is plain Svelte. Source code: https://github.com/profullstack/ethshot-web.
I’m looking for feedback on
- Usability and onboarding (is the flow obvious?).
- Contract design, gas savings, and any attack surface you spot.
- Whether the 1 % odds feel right or should be dynamic.
Quick start
- Grab a little test‑ETH from any Sepolia faucet.
- Visit https://ethshot.io and take a shot.
- If you win, you’ll see the transaction immediately; if not, you’ll see the pot grow.
- Bug reports and ideas welcome here or as GitHub issues.
Thanks for taking a look.
— Anthony (cranberryturkey)

value: Show HN: ETHShot – an Ethereum test‑net "take‑your‑shot" jackpot game

author: cranberryturkey


value: Areibman

value:
Hey HN,
Ever notice how so many startups (including YC) seem to have such similar names?
Over the years, I've been tracking the most common words I see (i.e. base, loop, layer, stack, etc.) and made a list out of them.
This app shows all the combinations available and looks up the domains on Namecheap to see what you can buy.
I made this because the list was fun to show at parties, but honestly, I think more than a couple of startups will find this helpful.

value: Show HN: Your Startup Needs a Better Name

author: Areibman


value: fearlessboi

value:
We initially built Jina as an AI QA engineer. The value prop was simple - turn a prompt into a test case.
But as we worked with customers, we discovered something much more powerful. We could have Jina be your user.
Take on your user's persona, explore your app like them catch bugs like they would. All in addition to of course a core foundation in writing QA tests from a single prompt with 0 maintenance.

value: Show HN: Synthetic Users that test your app, catch bugs, and provide feedback

author: fearlessboi


value: Cod-e-Codes

value:
marchat is a terminal-first, real-time group chat application written in Go with a Bubble Tea UI and WebSocket backend.
It’s designed to be lightweight, self-hostable, and usable entirely from the terminal.
Features:
- Group chat with theming
- JSON-based configuration
- File sharing
- Admin tools
Still in beta, looking for early feedback and contributors:
https://github.com/Cod-e-Codes/marchat

value: Show HN: Marchat – Terminal-based chat app written in Go

author: Cod-e-Codes


value: changisaac

value:
Hi HN,
My co-founder and I are launching LightLayer next Monday (July 28) — a voice-first AI code review platform that helps engineers review code 5x faster.
Since starting to use tools like Cursor / Claude Code, we found that writing code is no longer the bottleneck. Reviewing and understanding it is. AI can write the code, but it’s not making it to prod without a human-in-the-loop (unless your team fuels on chaos and stale coffee).
Introducing LightLayer, a voice-native code review platform that emulates walking through the PR with the author. Get questions answered and comments drafted in real time as you talk. Free (forever) for open-source teams and lifetime-discounted for early beta teams.
We use LightLayer to build LightLayer and can’t imagine switching back to regular code reviews.
We're looking for open source contributors to join the beta and help shape the product. If you're excited about AI + devtools, voice UX, or fixing code review — we’d love to hear from you.
Site: https://lightlayer.dev (sign up on the site)
Or just email me to join (or if you have any questions): isaac@lightlayer.dev

value: Show HN: Voice-First AI Code Review Platform (Looking for OSS Beta testers)

author: changisaac


value: cowllin

value: I love the niche social media of Strava. Use it as a personal log of your own exercise and/or a light-touch way to keep track of friends lives. Cooking is something we do 3+ times per week like exercise so I built this. I wrote 0 lines of code (not a programmer, just a lowly PM) and graduated form lovable to cursor to Claude code. All feedback welcome :)

value: Show HN: Strava for Cooking

author: cowllin

title: Show HN: Strava for Cooking


value: prakashqwerty

value:
What is TimeBasedLogger?
TimeBasedLogger is a simple but production-grade Python logging library that changes how you manage your logs: instead of logging on every message, it lets you log only once per specified time interval. This can greatly reduce log spam in high-frequency systems, making logs more meaningful and easier to parse.
Inspiration & Acknowledgement
This project was directly inspired by John Scolaro’s article, "[Log by Time, not by Count](https://johnscolaro.xyz/blog/log-by-time-not-by-count)". The blog post argues convincingly for a time-based logging approach, especially in systems that process large volumes of events rapidly. Its clear explanation and practical pseudocode examples helped shape the concept and motivation behind TimeBasedLogger. Big thanks to John Scolaro for articulating the challenges and benefits around logging strategies so effectively.
Key Features
Time-Based Logging: Emits logs only at your chosen time interval (e.g., every 2 seconds), regardless of message volume.
Max Logs per Interval: Optionally set a cap—never exceed a set number of logs during each interval.
Pause/Resume: Easily pause or resume logging with built-in controls.
Async Mode: High-performance background logging supports batching for busy loops or async workflows.
Thread Safety: Optional locking for multi-threaded environments.
Custom Log Levels & Filtering: Full support for standard levels (DEBUG, INFO, WARNING, ERROR, CRITICAL) and custom filtering.
Structured Logging/Extra Fields: Add contextual data to logs for easy parsing and analysis.
Custom Formatting: Flexible message formats using {level}, {asctime}, {message}, and any additional fields.
Exception Logging: Log tracebacks with exc_info=True—no more silent error hiding.
Installation
PyPI:
bash
pip install timebased-logger
Manual:
Download and add timebased_logger.py to your project.
Quick Usage Examples
python
from timebased_logger import TimeBasedLogger
# Log only once per 2 seconds
logger = TimeBasedLogger(interval_seconds=2)
logger.log("Hello")
logger.log("World")  # This won't log if called within 2 seconds
Log Levels
python
logger = TimeBasedLogger(level='WARNING')
logger.info("Not logged")
logger.warning("Will log")
Custom Format & Structured Data
python
logger = TimeBasedLogger(fmt='[{level}] {user} {message}')
logger.info("User action", extra={'user': 'alice'})
Exception Logging
python
try:
    1 / 0
except ZeroDivisionError:
    logger.error("An error occurred", exc_info=True)
When is This Useful?
IoT Devices/Sensors: Prevent log flooding from events that occur every millisecond.
Web/API Servers: Summarize frequent status checks or health pings.
Background Jobs: Avoid excessive logs in loops or polling routines.
Why Use TimeBasedLogger?
Traditional loggers emit messages for every event, quickly overwhelming log files in high-traffic environments. By logging on a time-interval basis, TimeBasedLogger ensures logs remain concise, relevant, and easier to analyze, all while remaining highly customizable for professional use.
Try it now and keep your Python logs meaningful—even in the noisiest systems!

value: Show HN: TimeBasedLogger – Python Logger That Logs Based on Time

author: prakashqwerty


value: kriomant

value:
I have to edit pretty long pipelines really often, and doing so right in shell prompt isn't always convenient. What you get by using this tool:
* stage outputs are cached, so costly API call or SQL query are executed just once (of course, they are restarted if command changes)
 * preview of any stage output
 * it is possible to integrate it with shell to edit existing pipeline and get updated pipeline back in command line
 * copy any command or any stage output to clipboard
There are rough edges too:
* there is no scrolling right now
 * editor is pretty limited
To overcome these limitations there are keys to call you favorite pager and editor.

value: Show HN: Pipec – utility to compose complex shell pipelines

author: kriomant


value: vmihailenco

value: Show HN: Uptrace v2.0: 10x Faster Open-Source Observability with ClickHouse JSON

author: vmihailenco


value: Show HN: Free Online Calculators

title: Show HN: Free Online Calculators


value: The site can search there using natural language. Like Perplexity but for Telegram.

value: Show HN: Telegram OSINT Tool

title: Show HN: Telegram OSINT Tool


value: scottfr

value:
Hey HN,
I wanted a grammar checker that didn’t send my writing to someone's servers, so we built Grammit, a Chrome extension that runs grammar checks locally using an LLM. Your text never leaves your computer during checking.
Because it uses an LLM, it catches more than spelling and grammar. For example, it can correct some wrong statements like “The first US president was Benjamin Franklin.”
We used many new web features to build this, such as:
- Chrome’s new Prompt API to talk to the local model.
- Anchor Positioning API to place the UI with minimal impact on the DOM.
- CSS Custom Highlights API for inline error marking.
- The new CSS sign() function to create CSS-driven layout with discontinuities.
Part of the fun of being early adopters of bleeding edge tech is we’re discovering new Chrome bugs (e.g., https://issues.chromium.org/issues/428354426, https://issues.chromium.org/issues/428039224).
I’d love your feedback on:
- Where the UX feels rough
- What you think of the corrections and suggestions
- Other local AI features you'd find useful
Happy to answer questions about the tech or the Prompt API. Thanks for trying it out!
Chrome Web Store extension link: https://chromewebstore.google.com/detail/grammit-the-ai-gram...

value: Show HN: Grammit – Local-only AI grammar checker (Chrome extension)

author: scottfr


value:
We’ve integrated AI features into our Creative Editor SDK using its plugin system.
It’s model-agnostic, so you can plug in GPT-4V, DALL·E, Stable Diffusion, or your own custom models.
Unlike traditional prompt → copy → paste workflows, this lets users generate, edit, and remix images and video directly on the canvas. You can even compose visual prompts using annotations, references, or multiple images to guide generation.
We designed it for real-world creative workflows, beyond simple concept generation.
- Works with any model or API
- AI for image, sticker, video and audio generation
- Try the live demo in your browser
You are not limited to these workflows; Our plugin system allows you to extend several parts of the UI and create tailored workflows depending on the models you want to use.
Would love feedback or to hear how others are thinking about AI-powered creative tooling. Questions and ideas welcome!

value: Show HN: SDK for Building AI-Powered Creative Tools


value: jennyljungblad

value:
Hi HN!
I built GoldSilver.ai because I believe more people should be thinking about sound money, especially now.
Gold just hit an all-time high - but most people missed it. Inflation quietly eats away at savings, and few modern platforms support physical metals or give good insight into mining stocks. I wanted a better way to compare prices, track metals, and research companies - so I built it.
GoldSilver.ai gives you tools to:
Compare bullion prices across multiple dealers
 Track live metal prices with historical performance
 Manage a portfolio of physical bullion and mining stocks
 Research mining companies by key metrics
 Browse a detailed mining company database
 Create and follow public portfolios (free account required)
To give an idea of what’s possible: GoldSilver.ai’s own public portfolio is up 135.93% this year - with no leverage, just thoughtful mining stock picks.
The site is clean, fast, and free to browse. AI is used behind the scenes to help generate and maintain the bullion and mining company database, but the focus is on transparency, long-term thinking, and usability.
Tech stack: Next.js + React Native Web (frontend), .NET Core + PostgreSQL (backend), Azure Functions (scraping), and OpenAI for content generation. The site is mobile-friendly and I plan to launch native apps next.
I’m bootstrapping this solo (with a newborn daughter keeping me company), and while dev time is limited, I’m actively improving it based on feedback. I’d love your thoughts - whether you're into investing, building, or just curious how gold became the best-performing asset nobody talks about.
Try it here: https://goldsilver.ai

value: Show HN: Smarter Gold and Silver Investing, Powered by AI

author: jennyljungblad


value: virusyu

value:
Hi HN,
I built https://nancypelosistocktracker.org/ — a site that automatically tracks and visualizes U.S. Congresswoman Nancy Pelosi’s stock transactions using official House disclosure filings.
*Why I built it*
I was curious about the recurring headlines claiming “Pelosi’s portfolio outperforms the market.” The raw data is public but buried inside PDFs/TXT bundles on the House Clerk’s website. I wanted a clean, automated way to parse the disclosures, highlight trades, and show positions over time.
*What it does*
- Pulls new Periodic Transaction Reports (PTRs) from the House disclosure portal on a schedule
- Parses TXT/XML files, normalizes tickers and amounts, and links the original PDFs
- Displays recent trades, historical totals, and sector/position breakdowns
- Exposes a simple JSON endpoint so others can programmatically reuse the data
*Tech stack*
- Scraper: Python + Requests + lxml, scheduled via a small cron container on a VPS
- Data store: PostgreSQL for structured trades, Redis for cache
- Backend/API: FastAPI
- Frontend: Next.js + TanStack Table for fast filtering & sorting
- Deployment: Docker Compose on a cheap cloud VM + Cloudflare for caching
*Challenges*
- Disclosures are inconsistent (typos, naming differences). I built ticker-mapping heuristics and a manual override table.
- The House site occasionally changes file structures, so I added alerting when parsing fails.
- Some positions are only visible in annual filings; I’m still refining how to estimate “current holdings.”
*What’s next*
- Add charts for performance vs SPY/QQQ
- Expand to more politicians (or let users pick who to track)
- Consider open-sourcing the parser if people find it useful
*Feedback I’d love*
- Parser accuracy: any suggestions on better entity/ticker matching?
- Front-end usability: which tables or charts are missing?
- Data licensing: anyone done something similar and learned the hard lessons?
Site: https://nancypelosistocktracker.org/
(GitHub repo is private for now; happy to open specific parts if there’s demand.)
Thanks for reading — I’ll be around to answer questions!

value: Show HN: Track Nancy Pelosi's Stock Trades (Auto-Updated)

author: virusyu


value: rlupi

value: Show HN: Augmented Awareness, open source LLM tool for mental health

author: rlupi


value: fahimulhaq

value:
MockInterviews.dev makes it easy and affordable for engineers to get realistic, on-demand practice with System Design Interviews, Coding Interviews, and more. After running in beta on Educative.io (with 15K+ interviews conducted), we're finally launching it as a standalone platform.
Some background: A few years ago, we actually tried offering peer-to-peer mock interviews over on Educative. We did this by connecting candidates with experienced engineers. It didn't scale. Scheduling busy engineers was chaotic, and personally conducting hundreds of these interviews left me burned out. We eventually gave up on peer-to-peer mocks altogether.
However, one key insight stuck with me: engineers should ideally practice mock interviews regularly, not just cram one or two at the end of their prep. Peer-to-peer mocks simply weren't viable for ongoing practice because of cost and logistical headaches.
Fast forward to the rise of LLMs. We revisited the idea and started testing AI-driven mock interviews via our integrated coding environment. The results were promising, but System Design Interviews felt incomplete without intuitive diagramming tools. After experimenting for about six months – including adding interactive whiteboarding and speech-to-text capabilities to make the experience as immersive and realistic as possible, I am excited to release Mockinterviews.dev to the public.
Our average session rating climbed from 2.5 during alpha release to a steady 4.5 today, and we've already helped hundreds of engineers simplify the prep process and land jobs at the world’s top tech companies.
I am excited about this progress and eager to keep improving.
Try it out here: MockInterviews.dev
I'd love your thoughts and am happy to answer any questions.
Feel free to reach out directly at fahim.u@educative.io.

value: Show HN: Built an AI Mock Interview tool because peer-to-peer doesn't scale

author: fahimulhaq


value: booper

value: Show HN: Project management without subscriptions, unlimited team members

author: booper


value:
Hi HN! I built a small experiment in digital solitude: a website that intentionally fails when more than one person tries to visit it.
The concept is simple - if you're alone, you see the site. If someone else arrives, it breaks for everyone until only one person remains.
An experiment in anti-scalability: genuine digital scarcity without tokens, chains, or ownership records. The server's capacity of one creates exclusivity through architecture rather than artificial economics.

value: Show HN: Digital Solitude – A website that only works for one person at a time


value: cat-whisperer

value: Show HN: PMX – A context manager for CLI AI Agents

author: cat-whisperer


value: zainbahari

value: Zamara runs entirely on your PC, ensuring privacy and speed. No internet required. You can run any LLM from Hugging Face in GGUF (llama.cpp) format. You can also chat with your files, including PDFs, Word documents (.docx), Excel files (.xlsx), PowerPoint presentations (.pptx), CSV files, and plain text files.

value: Show HN: Private and offline alternative to ChatGPT on your PC

author: zainbahari


value:
Hi HN,
I created this Chrome extension, doomlingo.com, to help people learn foreign languages while browsing their Twitter/X feed. The idea is simple: the extension converts all of your Twitter content from English to one of the five currently supported languages: Italian/French/Spanish/ German/Portuguese and you have to understand the message by translating the text. The extension provides a simple, fast UI to help with that.
So, if you want to get your daily dose of dopamine, you'll have to work for it. My hope is that my craving for the daily Twitter feed will be strong enough to motivate me to go through the struggle of translating and understanding foreign text. But that remains to be seen and may vary from person to person. The opposite might also happen: you may not want to use Twitter anymore because it's simply too much work.
You can download the extension from the Chrome Web Store. Unfortunately, you’ll have to register to try it because I’m using an LLM to translate the Twitter feed in real-time, and I need to rate-limit users to avoid DDoSing my API. As a free user, you get a certain number of translation tokens per month. Beyond that, it’s a paid membership, since the LLM translation service I use is not free.
Would like to hear your thoughts and feedback on this, thanks all.

value: Show HN: Learn foreign languages by doomscrooling Twitter – Chrome extension


value: ejanus

value: A static web server based on NodeJS. It could be used as folder explorer.

value: Show HN: A basic static web server

author: ejanus

title: Show HN: A basic static web server


value:
Hi HN,
We’re the team behind Rejoy Health, an AI search engine built specifically for doctors. We launched it to solve a frustrating but critical problem:
Clinicians spend too much time searching through dense PDFs, outdated databases, and fragmented resources to find reliable answers to clinical questions, especially at the point of care.
With a new medical paper published every ~30 seconds, it’s impossible to keep up. Rejoy lets doctors ask questions in plain language (e.g. “How do I manage atrial fibrillation in elderly patients?”) and get trusted, evidence-based answers with linked sources in seconds.
Think of it as a conversational interface(ChatGPT for doctors)to the medical literature, with citation transparency built in.
We're not trying to replace doctors or provide medical advice to patients, just reduce cognitive load and help them move faster with information they can trust.
Some quick points:
* Trained and tuned specifically on high quality, peer reviewed medical content
* Used by 50,000+ physicians so far
* Enterprise deployments support on-prem or VPC, for health systems that need full control
We’re focused heavily on verifiability (everything is sourced) and safety (reliable fallback answers > hallucinated ones)
Would love your feedback on everything—from the retrieval stack to deployment, use cases, and UX. Happy to answer questions about how we built it or how clinicians are actually using it day to day.
https://www.rejoyhealth.com
Thanks!
Rejoy Health Team

value: Show HN: Rejoy Health: AI Search Engine for Doctors, Used by 50k Physicians


value: FerkiHN

value:
Hello HN community!
I'm excited to introduce Unied – a compact and efficient terminal text editor, developed in C using the Ncurses library. My goal was to create a tool that combines familiar simplicity with powerful features rarely found in CLI editors.
What makes Unied special?
* Intelligent Syntax Highlighting: Unied automatically detects if you're working with code (C, Python, JS, etc.) or plain text, and applies heuristic highlighting for comments, strings, numbers, operators, and keywords. No manual configurations – just start coding.
* Intuitive Command System ("Command Puzzle System"): Forget memorizing complex key combinations. Activate command mode with Ctrl+\\, then type short, logical command sequences (e.g., SA for "Save As", R for "Find and Replace"). The system provides suggestions and autocompletion (Tab), making it quick to learn and powerful to use.
* Customizable Macros: Automate repetitive tasks by creating your own macros. You can assign any command sequence to a desired action.
* Full Undo/Redo History: Don't worry about mistakes – Unied keeps a complete history of your changes, allowing you to easily undo (Ctrl+Z) and redo (Ctrl+Y) actions.
* Visual Mode: Select blocks of text for copying, cutting, and deleting, similar to graphical editors.
* Contextual Hints: Dynamic hints at the bottom of the screen constantly remind you of available hotkeys and commands, adapting to the current mode.
Unied is not just another nano or vi. It's an attempt to make terminal editing more productive and less cumbersome, especially for those who frequently work with code.
Try Unied:
You can find the source code, build instructions, and a detailed README.md on GitHub:
https://github.com/Ferki-git-creator/Unied-Feature-Rich-Term...
I welcome your feedback, suggestions, and contributions!
Thanks for your attention!

value: Show HN: Unied Lightweight Terminal Code and Text Editor with Advanced Commands

author: FerkiHN


value: kstonekuan

value:
I built Digital Twin Proxy as an open-source tool that logs your web browsing and uses a local LLM to generate an analysis of your browsing patterns. The goal is to create a "digital twin" of your online activity that can be used to provide real-time context to other AI agents.
GitHub repo: https://github.com/kstonekuan/digital-twin-proxy
How it works: It uses a Squid proxy to capture HTTP/S traffic, and then a Rust application sends the logs to a local LLM (via Ollama) to analyze and create a digital twin based on web browsing patterns.
Why I built this: I wanted a way to give my AI agents more personalized and real-time context. By analyzing my web browsing, agents can tailor their responses, anticipate my needs, and even get better at using tools through "context engineering."
Key features:
- HTTP/S Traffic Logging: Captures all web requests.
- AI-Powered Analysis: Uses a local LLM (Ollama) to analyze traffic.
- Flexible Operation Modes: Can run in the background, log continuously, or perform one-off analysis.
- Customizable: You can easily change the AI model, analysis interval, and other settings.
Planned features:
- Exposing the context from your digital twin as an MCP server for AI agents.
- Injecting real-time context directly into your browser for any agentic AI app (like ChatGPT or Perplexity) to access.
Feedback and contributions are welcome!

value: Show HN: Digital Twin Proxy – Turn web browsing into memory for AI agents

author: kstonekuan


value:
AI is bombing us—bombing our attention.
The explosion of generative AI has unleashed an unprecedented wave of content creation. Polishing, drafting, illustrating, one-click cross-platform publishing… You’ve probably seen a hundred tools like these already. The result? AI-generated content is flooding social media—and this trend is now irreversible.
What does this mean?
Not a flourishing of content, but a collapse of quality. Mediocre, low-value content—whether AI- or human-generated—is flooding the information ocean. And no matter how advanced AI gets, it can’t change one harsh reality:
In the noise of an information explosion, truly high-quality content is rapidly shrinking in proportion.
And we, as consumers of information, still only get a meager 24 hours in a day.
We spend the same time, but get less and less value.
You’ve heard the famous phrase — Attention is all you need.
No
Attention is all THEY need
Attention is all WE HAVE
So what do we do? We fight back.
Clearly, we need a system—a mechanism—to shield us from the overwhelming noise. And this mechanism must have a few essential abilities:
- Rapidly read and comprehend massive volumes of information
- Accurately identify what’s important and high quality
- Discover and build meaningful connections across information
- Deeply process and restructure key insights into customized, actionable formats
Sounds like something you could throw 20 interns at—
But a faster, smarter, more scalable solution is obviously AI.
AI is a natural-born information-processing engine:
- It digests enormous data volumes in seconds
- It scores and ranks key content with surgical precision
- Hidden relationships across information? To AI, it’s just a matter of vector space distances
- And yes—people will use AI to generate noise (you can’t stop that). So we’ll use AI to build the shield.
You might ask: isn’t AI-processed information just secondhand content?
That depends entirely on how you use it:
- If used for filtering: AI helps surface the best first-hand sources, cutting through the clutter
- If used for summarizing or synthesis: its unique lens and processing methods often generate brand-new insights—valuable perspectives humans might never notice
Which leads us to what I’m building:
An AI-powered Information Intelligence Layer.
Its job:
- Autonomously gather and absorb information
- Filter and rank based on real value
- Distribute it efficiently and personally
The goal: Deliver only the most essential, most relevant information to you each day—so you can spend your time on what really matters.
Of course, before building a full-scale intelligent platform, I started with a focused MVP for the crypto and finance domain—and I’ve open-sourced the whole thing:
https://github.com/cctv2206/mimir-opensource
- It continuously scrapes and digests all crypto/finance data you can imagine
- It only pushes the most urgent, most critical updates, straight to the point
I call it Mimir—yes, that wise head hanging from Kratos’ belt.
I welcome your thoughts and suggestions.
In this war against the flood of noise, your support matters.

value: Show HN: An AI tool that filters high-quality info from the noise


value: surrTurr

value:
Hi HN!
A month ago, I wanted an app that opens instantly, stays out of the way, and stores every note as plain text. Nothing fit, so I built 'Zettel'.
Zettel is nothing crazy; it's a digital piece of paper on your phone: type, swipe, done. Each note lands as a .md file in the iOS Files app, which you can use to sync to any of your other devices or applications.
I use Zettel daily to quickly get thoughts out of my head, into my favourite App Obsidian.
Zettel is free & open source, and 1MB in size - feel free to try it out if you like!
https://apps.apple.com/de/app/zettel-quick-notes/id674852524...

value: Show HN: Zettel – Quick Notes (iOS)

author: surrTurr

title: Show HN: Zettel – Quick Notes (iOS)


value: polv

value:
A modern, performant, and feature-rich AI chat platform built with reliability, speed, and user experience in mind.
Why Choose boreal.chat?
boreal.chat stands out from other AI chat platforms with its unique combination of features and technical excellence:
Most flagship models available - Access to the latest and greatest AI models through reliable API providers
 Voice mode - Natural voice conversations with AI
 Offline syncing & stream resumability - Never lose your conversations, seamless experience across devices
 Pin & archive chats - Organize your conversations with intuitive management tools
 Performant and reliable - Built for speed with excellent uptime inherited from top-tier API providers
 Lightning fast UI - Built with Svelte and performance optimization in mind
 Responsive design - Works perfectly on phone, tablet, and desktop
 Self-hostable - Full control over your data and deployment

value: Show HN: Boreal.chat, an open AI chat platform, fast, and reliable

author: polv


value: dobreandl

value:
Hey HN,
We built https://grovs.io – a lightweight, EU-based alternative to Firebase Dynamic Links, Branch, and Appsflyer.
It handles:
• Deep links & deferred deep links
• Campaign attribution
• Invites & referral systems
• Cross-platform messaging
We’re already live in production apps and priced about 40% lower than the big incumbents.
We’re also building a better dashboard with clearer metrics, cross-platform messaging, and upcoming support for in-app purchases and subscription tracking.
Why we built it: existing solutions are expensive, overcomplicated, and not EU-native. We wanted something simple, transparent, and easy to integrate.
If you’re working on a mobile app (iOS or Android), I’d love for you to try it out and let us know what you think — feedback on product, docs, or onboarding would be super helpful.

value: Show HN: Grovs – Mobile deep linking and attribution, 60% cheaper

author: dobreandl


value: TwoTrickPony

value: Man do I still daily long for the mail client Mailbox, unfort. it was killed by dropbox. Anyway 10 years later: I decided to see if there is interest to reboot it

value: Show HN: Reviving the Mailbox app nostalgia by rebooting a 0 inbox mail app

author: TwoTrickPony


value:
Hi HN!
I love playing AOE4, and so I decided to check whether LLMs can help me improve. Turned out it gave me great feedback on my game, so I made an app around this idea.
If you do not play it and can't check it on your own games, you can check out reviews from current users at https://aoe4.senteai.com/reviews

value: Show HN: Age of Empires AI game reviewer


value: ericdallo

value: Show HN: ECA – Editor Code Assistant – Free AI pair prog tool agnostic of editor

author: ericdallo


value:
Hey guys, I wanted to show you an application I built during the last year and a half or so.
It's called Dawarich and it's a free open-source self-hostable web app that is aimed to replace Google Timeline. And it did for me and couple of hundreds of self-hosters.
Recently my partner and I also launched a subscription-based cloud version, so those who don't have time or not interested in self-hosting could use it too.
So, what Dawarich can do for you?
- It visualized your movements
- You can track your movements with our iOS app (I partnered up with a friend to make it happen) or one of 3rd party mobile apps, both for iOS and Android: GPSLogger, OwnTracks, Overland
- It supports import of your existing data: from Google Takeout, GPX and GeoJSON data formats
- It has some nice map layers, such as fog of war, heatmap and photos layer (that is if you have configured Immich/Photoprism integration)
- It provides you with some stats to see distances traveled, split by month or year
- It has Trips feature where you can add notes and see where you've been, how long you have traveled, along with your pictures (also, if you have integration with Immich/Photoprism)
I personally use it from day 1 as replacement for Google Timeline and never looked back. There are still many things that can be implemented in order to make geodata yield more insights and traveling patterns, but it's already useful, and I'm working on it every day to make it more stable and feature-rich.
Hope you'll find it useful too :)
Cheers!

value: Show HN: I built a replacement for Google Timeline


value: Thyrdev

value:
Hi Hacker News
I’m a solo developer passionate about productivity. Over the past few months, I built ReplyFast, an AI powered email assistant that helps you draft replies, generate ideas, and improve your writing in seconds
Unlike generic writing tools, ReplyFast focuses on speeding up email responses by suggesting concise and relevant answers tailored to your context. It supports multiple languages and lets you easily customize tone and style
I created this tool because I often spent too much time stuck on email replies and wanted a simple yet powerful assistant to speed up the process without losing personalization
I’d love your feedback on the tool — what works, what can be improved, or any feature ideas. Feel free to try it out and let me know what you think
Thanks
[Tom]

value: Show HN: I built ReplyFast an AI powered tool to write faster and better emails

author: Thyrdev


value: Show HN: Live integration of your rankings in ESPN's fantasy draft


value: DavyCreddy

value:
I've been freelancing for a few years now, and honestly, the most frustrating part isn't the actual work it's getting access to client systems.
Every project starts the same way: 'Hey, can you send me your API keys for X?'
Then it's a week of messages trying to figure out what they actually need to share, which permissions to set, whether they should create a new user... you get it.
So I built this simple tool where I just send a link, you pick what service they need to share with you (Analytics, Hubspot, Stripe, whatever), selects the right permissions from a dropdown, share the link and it's done.
Takes about 30 seconds instead of 30 emails.
Some folks told me they waste up to a week per client just for the credential dance.
Anyone else find client credential collection surprisingly boring?
Would love to hear what you think of this solutions  (creddy.me)
Thanks for any feedback

value: Show HN: Stop losing hours collecting client API keys and tool permissions

author: DavyCreddy


value: elricwan

value:
Hi HN,
We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API.
Why it might be interesting:
- Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder
- 480B params (35B active MoE), long context up to 1M tokens with YaRN
- Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%)
- Free tier: 100K tokens/month

value: Show HN: Qwen3-Coder API – 480B open-source code LLM

author: elricwan


value:
Hey Hackers News,
I've spent a bunch of time as a customer experience manager and I've always struggled with the existing ways we as an industry manage complex customer journeys in disparate systems, Miro boards and slide decks.
I've always wanted something that could bring some structure to this chaos. So I've built a tool for people that want to work around customer journeys - and with the rise of customer journey management as a practice, it's really good timing.
Orchetta is for product managers, experience managers and journey managers that have to manage really complex experiences (think multi-product, multi-category organisations) and all the moving pieces that go along with that.
You can track the customer journey frameworks, individual journeys and the needs, values, issues and opportunities along that journey. Customer needs are to be satisfied, issues are to be resolved, opportunities are to be developed and values are to be protected.
If you want to have a play with the platform, head to demo.orchetta.com.
Really open to feedback from people that build complex customer journeys themselves.
Thanks, tomcnle

value: Show HN: Orchetta – the customer journey management platform


value:
At its core, the $350B resale industry is a messy, unstructured data problem.
Resale isn’t a single market — it’s an extremely fragmented ecosystem of global marketplaces (The RealReal, Poshmark, Etsy, eBay, Fashionphile, etc.) and a long tail of independent resellers, social media merchants, and vintage/consignment shops.
On both the consumer and enterprise sides, the biggest pain points stem from a lack of unified product schemas and inconsistent condition nomenclature and evaluation standards.
We’re building SECONDSENSE to be the operating system for luxury resale, and we just launched our new UI to empower shoppers with data to find the best deals & investment pieces.
Would love feedback from anyone who’s worked on marketplace data, product search, or catalog infrastructure.

value: Show HN: SECONDSENSE – The OS for the Resale Economy


value: WasimBhai

value:
Hello HN, I am a policy person who is often found reading papers. I built this app to curate papers that have piqued my interests to share them with wider audience. One thing that I have repeatedly heard academics say is that no one reads their research.
So I thought may be this is one way to consume for everyone that I genuinely find beautiful: answers to really important questions.
As I read this particular paper, for example, I kept thinking, how big our productivity gains shall be if we could improve education in the more underprivileged areas of the world.
I hope you like it as much I loved reading it!
Paper link here too: https://www.nber.org/papers/w24062

value: Show HN: Gistpod: Lost Einstein – Who Becomes an Inventor in USA?

author: WasimBhai


value: I used to queue 6 hrs on a 4090 just to get dialogue that still floated half a second late. Last week I swapped the entire pipeline for Google’s Veo 3 running behind a 6-line FastAPI wrapper; now the same 30-second spot drops in 18 s with 99 % mouth-match accuracy. No timeline, no keyframes—just text → mp4 with synced sfx baked in. Benchmark repo and the wrapper are MIT on GitHub, plug your key and roast my latency numbers. Live demo at https://veo-3.app/

value: Show HN: 4K lip-sync from a 12-word prompt–V2A beats my 2023 render farm


value: iillexial

value: Show HN: Devblogs.sh – feed of engineering blogs from top tech companies

author: iillexial


value: sinanuozdemir

value: Show HN: Agenti – Free Browser Based Workflow Automation

author: sinanuozdemir


value: hallak

value: Show HN: Draw A Fish and watch it swim with the others:)

author: hallak


value: yuanchuangAI

value:
Over the last 3 weeks, I built a website to organize 70+ AI tools into a searchable, reviewed, and categorized hub.
Use case: I was constantly sharing AI tools with friends & colleagues, but the available directories felt outdated, shallow, or spammy.
So I built my own:
- Tools are categorized (e.g. writing, voice, code, automation)
- Marked clearly as free/paid
- Includes brief reviews, ROI notes, and usage tips
- Fully searchable and updated daily
- Working on tool ratings, comparisons, and a “trending” leaderboard
Website: https://www.toolsverse.tools/
I’d love feedback and suggestions — and maybe more tools to add.
Thanks for reading!

value: Show HN: I built an AI tools hub with 70 categorized and reviewed apps

author: yuanchuangAI


value: Show HN: WebSocket DevTools – Chrome extension for WebSocket debugging in pages


value: reuven

value: Show HN: Bamboo Weekly, non-trivial Python/Pandas practice problems

author: reuven


value: trulykp

value: Show HN: Discover apps and websites built by vibe coders worldwide

author: trulykp


value: magnoglx

value:
I built this to simplify launch day for solo founders and small teams or anyone who just wants to make a checklist for any occasion.
LaunchChecklist.pro lets you build and track your own launch checklists with themed templates and one-click PDF export (useful for teams, clients, or any occasion).
Built with Next.js, Supabase, Stripe, and Vercel. Would love feedback.
Demo: https://www.tella.tv/video/launch-1-3mop
Thanks!

value: Show HN: LaunchChecklist.pro – Customisable launch checklists with PDF export

author: magnoglx


value:
Hi HN,
I’d like to share MirrorMind – a recursive agent architecture designed to make AI systems more interpretable, controllable, and reflectively “human.”
This is not just prompt engineering or character simulation. MirrorMind encodes internal structure into LLM behavior through five explicit coefficients:
- Emotion
- Reasoning
- Expression
- Values
- Bias
Each persona is a function over these dimensions. The MVP lets you run parallel AI personas with different settings to see how the same input produces radically different (but explainable) outputs.
App: https://hwan-oh-mirrormind-mvp.streamlit.app
 GitHub: https://github.com/HWAN-OH/MirrorMind-MVP
 Full story: https://medium.com/@hawn21
This is part of a 4-paper series exploring controllable cognition and AI-personality architecture:
1. Formal Architecture – https://zenodo.org/doi/10.5281/zenodo.15921374
2. Human-Agent Coevolution – https://zenodo.org/doi/10.5281/zenodo.15929330
3. Persona Collapse & Resilience – https://zenodo.org/doi/10.5281/zenodo.15929615
4. Mathematical Proof of Efficiency – https://zenodo.org/doi/10.5281/zenodo.15939176
This project was built not by full-time AI researchers, but by someone working in energy strategy, trying to use AI as a thinking partner. I hope it can evolve into a framework for building interpretable AI agents that mirror human complexity.
Would love your thoughts – critical feedback, ideas, or collaboration.
Thanks!

value: Show HN: MirrorMind – A Recursive Agent Framework for Interpretable AI


value: pehringer

value: Show HN: Code Creation, the Way Nature Intended

author: pehringer


value:
Built a simple tool inspired by GitIngest and DeepWiki — it lets you extract structured data from any YouTube video by changing the domain:
youtube.com → indexyoutube.com
You get:
- Auto-generated summaries
- Keywords
- Full video metadata
Great for building smarter discovery/search apps.
Here’s a quick demo video: https://youtu.be/2jarm3P0aE0
Would love your feedback!

value: Show HN:Turn any YouTube video to structured data:youtube.com → indexyoutube.com


value: stagas

value: Just a nice visual demo I made the other day, not sure what this will become, but feel free to fork it! https://github.com/stagas/spaceship

value: Show HN: Travel among the stars with warp speed

author: stagas


value: etothepii

value:
My wife and I are trying to get a better handle on our personal finances and having settled on a tool to use I found that my bank statements couldn't be uploaded as my bank uses d MMM yyyy format when dd/MM/yyyy format was required. There was also no option to support the very standard credits in one column and debits in another column that exists widely.
While editing the file in Excel was on option I ultimately plan to delegate the task and so wanted something simple, clean and easy to use.
As there is no state, and no cookies, hosting on GitHub pages felt like an easy solution. The solution is vibe coded with Kiro and the source code is available at https://github.com/cactus-bm/csvprocessor/ and pull requests are welcome.
The project is hosted on my company's Github and licensed under MIT

value: Show HN: CSV Convertor – Handle US/UK Dates and Bank Balances

author: etothepii


value: feynmanquest

value: Show HN: PromptDrifter – stop merging mystery prompt regressions

author: feynmanquest


value: milkshift

value:
There are many commercial YouTube summarizers, but I couldn't find an open-source one that truly fit my needs. So, I built YouTubeTLDR: a simple, self-hostable solution that uses the Gemini API without much bloat.
I went with a synchronous approach + threading which was a nice break from Tokio.
It is Bring Your Own Key, but the key is sent to the server for each request, which is something I might revise in the future.
There is a demo on https://youtubetldr.onrender.com/

value: Show HN: YouTubeTLDR – A lightweight, self-hosted YouTube summarizer in Rust

author: milkshift


value: acecreamu

value:
Hi HN, we’ve recently sold our previous product and are currently building on new ideas. This one may be the most exciting and overlooked growth opportunity for AI products we’ve found:
TLDR: We’ve built a tool for analyzing and exploring user prompts — so you can actually understand how users are interacting with your AI product, and compare behavior across different segments (languages, paid vs free, etc).
If you’re used to Mixpanel / Amplitude / PostHog to analyze user behavior, you could notice how irrelevant they become when your product is just a chat box (or voice interface). That's because in the age of AI you don’t need button events — you need to analyze a large corpus of text.
To solve this, we’ve built what we call a Mixpanel for GenAI apps — an NLP tool to analyze and explore your user chats at scale.
We can already do:
1/ Multi-layer semantic clustering (see a big picture of all the topics and drill down)
2/ Filters and groups (compare usage between languages, demography, free/paid, etc)
3/ Latent space exploration
4/ Semantic search of prompts
5/ Topics and token usage breakdown
6/ (coming) Trends and audience drift over time
So you can answer questions such as:
- What’s the main use case of my app?
- What do users who pay the most do?
- What do users who spend the most time do?
- Which quiet audiences and use cases am I missing?
- How do the user patterns differ between languages?
- What are the new audiences we can appeal to?
Please check the link for the screenshots and instructions on how to start!
Any feedback is appreciated (I don't say I won't cry if it's negative)

value: Show HN: Slice and Dice – analyze and explore User Prompts at scale

author: acecreamu


value: asronline

value: Show HN: Open-source Midjourney UI for any AI media model

author: asronline


value: jellyotsiro

value: Show HN: Nia – MCP server that gives more docs and repos to coding agents

author: jellyotsiro


value: Show HN: FocusFlux Chrome extension to block distracting websites


value: Quoriath

value: Show HN: NeoArchive – Lightweight offline tool for files, media and PDFs

author: Quoriath


value: mantcz

value:
I have worked with AI assistants for a while, and while I am really excited about it, there were times when I felt really frustrated. LLM would end up in a loop with no end.
This is when I started experimenting with creating work plans. Initially simple todo list, but it felt like "product vibing", so a bit more sophisticated later on. I started seeing value in it.
The one day it hit me. Why not use the same GitOps principles to managing product tickets? I started playing with that and really liked the way it worked.
After a chat with a friend of mine, I realised that a standard or a spec would be something really useful. You could then create all sort of tooling around this.
I took an inspiration from the way kubernetes yaml are used, cause I find it quite neat.
You can view examples here: https://spec.productascode.org/draft/#sec-Epic-Example-YAML-
Key design decisions so far:
1. YAML over JSON: Human-readable, git-diff friendly, excellent tooling ecosystem
2. Hierarchical structure: Epics → Tickets → Tasks (matches development workflow)
3. Atomic tickets: Each ticket = one branch = one PR (prevents scope creep)
4. ISO 8601 timestamps/durations: Machine-parseable time data
If I manage to create an epic with a bunch of tickets in backlog, then my favourite part of work is to tell Claude Code: "Close the current ticket, and start another one".
Here is the link to the post which has links to draft spec and GitHub repository.
Currently working on v0.1.0 and I would love to hear your thoughts.
https://mantcz.com/blog/introducing-product-as-code/

value: Show HN: Product as Code – YAML-based product management for AI coding workflows

author: mantcz


value: sfaist

value:
Hi HN! Stefan here from superglue and today I’d like to share a new benchmark we’ve just open sourced: an Agent-API Benchmark, in which we test how well LLMs handle APIs.
We gave LLMs API documentation and asked them to write code that makes actual API calls. Things like "create a Stripe customer" or "send a Slack message". We're not testing if they can use SDKs; we're testing if they can write raw HTTP requests (with proper auth, headers, body formatting) that actually work when executed against real API endpoints and can extract relevant information from that response.
tl:dr: LLMs suck at writing code to use APIs.
We ran 630 integration tests across 21 common APIs (Stripe, Slack, GitHub, etc.) using 6 different LLMs. Here are our key findings:
- Best general LLM: 68% success rate. That's 1 in 3 API calls failing, which most would agree isn’t viable in production
- Our integration layer scored a 91% success rate, showing us that just throwing bigger/better LLMs at the problem won't solve it.
- Only 6 out of 21 APIs worked 100% of the time, every other API had failures.
- Anthropic’s models are significantly better at building API integrations than other providers.
Here is the results chart: https://superglue.ai/files/performance.png
What made LLMs fail:
- Lack of context (LLMs are just not great at understanding what API endpoints exist and what they do, even if you give them documentation which we did)
- Multi-step workflows (chaining API calls)
- Complex API design: APIs like Square, PostHog, Asana (Forcing project selection among other things trips llms over)
We've open-sourced the benchmark so you can test any API and see where it ranks: https://github.com/superglue-ai/superglue/tree/main/packages...
Check out the repo, consider giving it a star, or see the full ranking at https://superglue.ai/api-ranking/.
If you're building agents that need reliable API access, we'd love to hear your approach, or you can try our integration layer at superglue.ai.
Next up: benchmarking MCP.

value: Show HN: LLMs suck at writing integration code… for now

author: sfaist


value: tudorizer

value: Show HN: Hiconic – reflective, reactive, and portable modeling for any domain

author: tudorizer


value: shaanprab

value:
I’ve always struggled to retain information from long-form YouTube videos, especially when passively watching tutorials or explainers. I’d finish a 20-minute video and realize I couldn’t recall much of what I just saw.
So I built Lisora which is a minimal tool that takes a YouTube video and automatically inserts short quizzes and reflection prompts at regular intervals to encourage active learning. I also added scores and have future plans to make it competitive.
You don’t need to install anything or sign up just paste a YouTube link and hit go. It works best on educational or lecture-style content.
MVP: https://mvp.lisora.ai
 Vision: https://lisora.ai
It’s still in early MVP stage the quiz logic is simple, and the reflection model is rule-based for now. But I’m planning to:
Make the prompts more intelligent using semantic chunking
Introduce spaced repetition once accounts are enabled
Add retention analytics
Would love any feedback on:
UX flow / onboarding
Technical critiques
Ideas for making learning more interactive
Thanks in advance!

value: Show HN: Lisora – quizzes/reflection prompts to YouTube to improve retention

author: shaanprab


value: agustinl

value: Show HN: I built Webituary: a graveyard for dead websites

author: agustinl


value:
I recently built this habit tracker app with a built-in Pomodoro timer. It’s minimal, clean, and focused around growing a plant as you build good habits or break bad ones.
You can try it without premium or any payments so   lmk if u have any feedback.
Thanks.

value: Show HN: I built a minimalistic habit tracker&Pomodoro timer with plant visuals


value: wrathfulspatula

value: Transverse field Ising model (TFIM) is the physical system at the core of most claimed cases of algorithmic "quantum advantage" (notably excluding Shor's integer factoring algorithm). It's easy to compare these results to Qiskit Aer Trotterization: see https://github.com/unitaryfoundation/qrack/blob/main/scripts....

value: Show HN: Generate high-width, near-ideal transverse field Ising model samples

author: wrathfulspatula


value:
Hey HN,
I’m a solo developer and over the past few months I’ve built a simple web tool to restore old, faded, or damaged photos using AI. It:
- Removes scratches, dust, and tears
- Clarifies blurry details (faces, textures)
- Optionally colorizes or applies vintage/artistic styles
I originally built this for my own family albums — scanning old prints, restoring them in-browser with no Photoshop or plugins. I wanted anyone to be able to revive their memories with a click. There’s a free tier after signup, no hidden fees.
I’d love feedback on:
- Restoration quality (sharpness, artifacts)
- Color/vintage styles (too muted? too saturated?)
- Usability (site performance, interface)
Thanks for checking it out — I’m happy to answer any questions or open to suggestions.
– Fabio

value: Show HN: Free AI tool to restore old, damaged photos – built solo


value: danilofiumi

value:
A while back, I got stuck in subtitle hell. All I wanted was a simple way to auto-generate captions for my videos—no paywalls, no upload limits, no “surprise, now you need a subscription” popups.
As a broke small creator and podcaster, I wasn’t about to drop a pile of cash on tools that watermark my stuff and send my files who-knows-where.
So I built my own.
I made it free, offline-first and available for Mac (Apple Silicon).
Just drag in your video, and it spits out clean, accurate subtitles using the local OpenAI’s Whisper model you choose.
What’s the deal?
- Animated subtitles that don’t look like they’re from the 90s
- Whisper does the heavy lifting (so the subtitles actually make sense)
- Runs fully offline—your videos never leave your computer
- Free forever—no subscriptions, no "pro" upsell, no watermarks
- Fast, local processing (great for long videos or bad Wi-Fi)
I made this because I needed it, but I’m betting I’m not the only one tired of subtitle headaches.
Hope this can help!
Danilo

value: Show HN: I built a free video auto-captions generator app with offline AI

author: danilofiumi


value: mbrt

value: gencmd is an open source, interactive command line utility to generate bash commands from a natural language description, directly from the console.

value: Show HN: Gencmd, an fzf for natural language to bash commands

author: mbrt


value:
When the startup I was working for shut down, I knew it would probably be a while before my health allowed me to commit to a new role, so I decided to start working on some personal projects to keep my mind active and engaged.
With AI-augmented VS Code forks being all the rage at the time, I wanted to take a slightly different angle on a code editor/viewer using the same core technology. That led me to building Tachi Code, a Monaco-based code editor that integrates directly into your browser as an extension to streamline your more ephemeral coding tasks, so you can spend less time switching between your code editor and browser.
The original flow that piqued my interest was viewing raw source files or API responses. Historically, I've used a JSON formatter extension to prettify JSON, but I wanted something more powerful, more universal, and quite frankly, something that looked better, so I built Tachi Code with the ability to detect when you're viewing pre-formatted text and inject itself into the page, so it's always beautifully syntax highlighted, foldable, and regex searchable. Then I added context menu integrations, so you could quickly edit snippets, compare text, or view the current page's source in Tachi Code's editor.
The browser extension works offline with the only external HTTP requests going to GitHub to retrieve JSON Schemas or additional themes. All user data stays local. The only tracking is CloudFlare's web analytics beacon on TachiCode.dev (not present in the browser extension or in the EU).
TachiCode.dev is a sandbox environment that serves the latest commit of Tachi Code's editor hosted on CloudFlare Pages.
The core stack is:
- React 19
- Monaco Editor
- Radix UI
- Zustand
- Shiki
- WXT
(full SBOM is available via the about dialog if you want to dig deeper)
Monaco Editor provides the code and diff editors, as well as low level systems for configuration and theming. There's a lot of hackery involved in surfacing those systems and integrating them into the larger React app. Shiki is used to provide more complete syntax highlighting than Monaco Editor provides out of the box. The rest of the UI is primarily based on Radix UI components, typically starting from a shadcn template and then reworked to use colors provided by the theme system. Zustand is my go-to for any kind of shared/persistent state. WXT just turns browser extension development and publishing into a breeze.
If you've got any feedback or a question about how the app was developed, I'd love to hear it!

value: Show HN: A code editor that integrates into the browser


value: shahahmed

value:
The AI Horseless Carriages article spurred a lot of conversation about how we should just be giving users the system prompt box [0], and we were pretty surprised that a bunch of email clients didn’t pop up following this pattern [1].
So we went ahead and created a local [2] email client that you can run that processes your inbox with your own handwritten rules. It lets you label and archive based on natural language rules. You can draft responses with your own drafting prompt, and there’s a “research sender” option that uses web search to get public info on a sender. You can customize any of the prompts to fit your needs. We’d love to hear what you think and PRs/issues are welcome!
[0] https://news.ycombinator.com/item?id=43773813
[1] Superhuman seems to be pulling on this thread
[2] uses OpenAI for this version, client runs locally, ollama support soon!

value: Show HN: Local Email Client for AI Horseless Carriages

author: shahahmed


value: getToTheChopin

value:
I made a hands-free HN reader using speech and face recognition
Speak to navigate the feed; eat doritos to scroll an article
Live demo (please use Desktop Chrome): https://funwithcomputervision.com/snacker-news/
This works in real-time in the browser using a regular laptop webcam
All speech / face recognition is done locally (none of your data is stored)
Tech stack: HN API, mediapipe face landmarks, web speech API
Thanks for checking out my silly web app and I would appreciate any feedback!

value: Show HN: Snacker News; a hands-free HN. The more you eat, the more you learn

author: getToTheChopin


value: paltas

value:
Every few months I would try to build a habit of reading more but it wouldn't stick. I would pick up books but would lose interest few chapters in. Also tried newspaper subscriptions but a week or two in I wouldn't see articles I'd be that interested in. I'd have to spend time trying to find something to read.
This led me to building ReadLab to help with sticking to it. It's really simple but has been helping a ton. It lets you pick a category (Math, history, psychology, etc.) and it gives you an article. It also tracks articles read and day streaks.
If this resonates with anyone would encourage you to give it a shot.

value: Show HN: ReadLab – A tiny app to help with reading more

author: paltas


value: vincentyyy

value:
hi everyone,
I’m building a note-taking app that auto-tags and groups your notes. The idea is simple: just write and don’t worry about organizing.
I’ve always struggled with organizing my notes in just any tools. I tried creating tags & folders in the apple notes but as I have more and more tags and folders, I still got lost in organizing. It just became too much effort so I just gave up any organizing.
So I started looking for something where I could just write. No setup, no structure. Just drop anything, and let the system organize the rest. I didn't find anything similar to what I need yet so I decided to build it my own.
So the app I made does that—it auto-tags your notes based on content and groups similar notes together. That’s basically it. No extra features.
It’s still super super early. If this sounds useful to you and you’d be down to try it out and give feedback, I’d love your help!! We just launched in App Store: https://apps.apple.com/us/app/dim-auto-tag-your-notes/id6741...
Thank you.

value: Show HN: Dim – An auto-tagging notes app

author: vincentyyy


value: Show HN: MacMan – A Mac cleaner made for developers


value: arikchakma

value: Show HN: Sticky – Capture notes, tasks, thoughts

author: arikchakma


value: ogmethum

value:
I’m a solo dev building Devu, a platform that matches developers with open source projects tailored to their tech stack and skill level. It also guides you step-by-step through contributing and provides learning pathways to fill knowledge gaps.
Contributing to open source can be overwhelming finding the right project, understanding issues, and submitting PRs is tough, especially for beginners. Devu aims to simplify that process.
I just launched the landing page: https://devu.dev
Would love any feedback or suggestions from this community.
Thanks!

value: Show HN: Devu – Helping devs contribute to open source easily

author: ogmethum


value: dannylmathews

value: Show HN: Adding exclusive podcast episodes inside the RSS feed

author: dannylmathews


value: alvaropaco

value:
Olá Hacker News
Criamos o TT Times Finance, uma plataforma SaaS voltada a pequenas e médias empresas que precisam analisar indicadores financeiros em tempo real de forma acessível e sem complicações.
O que é?
Dashboard interativo com métricas financeiras essenciais (caixa, receitas, despesas, DRE).
Conecte seu ERP ou lance dados manualmente — você escolhe.
Visualizações gráficas simples para monitorar saúde financeira instantaneamente.
Relatórios exportáveis (PDF/XLS) para seu contador ou investidores.
Por que construímos?
Muitas PMEs têm dificuldade em acompanhar sua saúde financeira entre mensalidades ou consultorias contábeis. Vimos um espaço para um sistema leve, rápido e visual que dá autonomia e clareza – especialmente no “time to value”, ajudando o usuário a ter insights logo no primeiro uso
Hacker News
+7
Hacker News
+7
Hacker News
+7
Hacker News
fincome.co
.
Como funciona por trás:
Back‑end em Node.js, micro‑serviços em Python para processar dados.
Front‑end React com gráficos via Chart.js.
Integrações por API: ERP via REST + upload CSV.
Sistema de cache para dashboards instantâneos após upload.
Por que vale a pena testar
Sem instalação: crie conta grátis e já veja métricas imediatas.
Feedback direto e sem barreiras: nada de signup obrigatório nem limites absurdos.
Otimizado para PMEs que não querem soluções complexas ou caras (tipo ERPs pesados).
O que estamos buscando:
 Feedback de PMEs e contadores sobre UX e utilidade no mundo real.
Sugestões de novas métricas ou gráficos que facilitariam a vida financeira.
Bugs, falhas ou dificuldades no onboarding.
Já é possível testar gratuitamente em https://www.tttimesfinance.com/, sem cartão e com onboarding guiado.
Curioso para saber o que vocês de HN acham! Perguntas, críticas, sugestões? Estou por aqui.
Obrigado!
Por que esse formato funciona?
Segue a recomendação da comunidade Show HN para focar no que foi construído, como funciona, quem é o público e pedir feedback
Hacker News
Hacker News
.
Mostra clareza técnica (stack + arquitetura) — parte valorizada no HN
Hacker News
+3
Hacker News
+3
Hacker News
+3
.
Acesso imediato ao produto é importante para incentivar testes e comentários.

value: Show HN: TT Times Finance – análise financeira em tempo real para PMEs

author: alvaropaco


value:
Hi HN! I’m Alex (co‑founder of Zodii), and I built Zodii, a comprehensive REST API suite that lets developers integrate astrology, numerology, and tarot capabilities—fast and free to start.
What it is
A spiritual API platform offering zodiac data, birth-chart analysis, numerology, tarot readings, compatibility, and daily horoscopes
Instagram
Google Play
+2
Zodii
+2
Apple
+2
.
One consistent REST API across all categories—easy for developers to plug in.
Why I built it
Developers wanted reliable, accurate spiritual-wellness data without scraping or maintaining astrology libraries. Zodii provides an all-in-one solution, with real-time API responses and free tier access.
How it works under the hood
Endpoints for zodiac signs, birth charts, compatibility, numerology, tarot spreads, etc.
Instant, real-time data powered by astronomical algorithms and curated interpretations
Zodii
.
Rate-limited free tier: enjoy 100 free monthly API calls, then scale up as needed
Zodii
.
Developer experience
Clean REST interface: e.g.
nginx
Copy
Edit
curl "https://www.zodiiapp.com/api/zodiac/aries?token=YOUR_TOKEN"
returns structured JSON with strengths/weaknesses, compatibility, and personality profiles
Zodii
.
Easy onboarding: no credit card, instant token, full docs, demo available.
What’s different
Covers astrology, numerology, tarot in one API—no juggling multiple services.
Enterprise-grade reliability: 99.9% SLA, 50 ms avg response time, scalable plans
costarastrology.com
+6
Zodii
+6
zodiacsign.com
+6
.
Free developer tier is generous and supportive of exploration.
Try it out
Sign up, get your free token, and start building at https://www.zodiiapp.com/ — fully documented and ready for integration.
What feedback would be amazing
How seamless is the API onboarding and documentation?
Are there missing data points or features you'd expect (e.g. specific tarot spreads)?
Any hiccups around rate limits, error handling, or response formats?
I’m here to answer questions, dig into edge cases, or discuss features. Appreciate your feedback—thanks for checking it out!

value: Show HN: Zodii – a developer-first astrology, numerology and tarot API platform


value: xtrkil

value:
We built Squash because every AI tool still feels like talking to a stranger: it forgets what you’ve been researching, writing, or searching the moment you are using these tools.
Squash turns your recent browsing history—URLs, titles, and search queries from the last few minutes—into a compact, on‑device “memory pack.” When you open any ChatGPT or any AI tool, one click shares that pack so replies already understand your current task.
- Everything processed locally with Gemini Nano—no screenshots, no cloud uploads.
- Built with TypeScript + Svelte
Would love feedback from HN on:
- Where else would you want the context supported (we are starting with ChatGPT and Claude.ai)
- Additional context sources you’d find useful
Happy to answer questions and iterate in the comments. Thanks!

value: Show HN: Squash – your browsing history as context for ChatGPT

author: xtrkil


value: trashburger

value: Hi HN! This is a project I did a while back in a late night coding session to learn about Wayland and how it works with EGL/OpenGL. You can give it a path to a GLSL shader that expects the Shadertoy API (uniforms/inputs etc.) and it will render it to the Wayland display of your choice. Try it out and let me know what you think!

value: Show HN: Papertoy: run a Shadertoy shader as an animated Wayland wallpaper

author: trashburger


value:
Hi HN. This is a script I have been using for some time for coding tasks, which I have polished a bit and published.
The motivation behind this script was to have an agent with persistent session which I can use from the shell like a regular command. It _can_ also be scripted, although I don't use it in such a way.
The script uses a minimal prompt, which just tells it to use standard unix tools to do everything. I was surprised at how well it worked, when using a good model. Qwen3-coder is on openrouter, and it works well with the minimal instructions. I also tested qwen2.5-coder with ollama and that works well too.

value: Show HN: A tiny (480 LOC) AI coding assistant for your shell


value: sparkydev

value:
Coming Soon - first of its kind sovereign, isolated and enterprise-grade AI that works only for you.
100% Private Instance
Fully Isolated
Learns Only for You
Enterprise-Grade
No Shared Servers
Your AI. Your Rules.
check out more at https://mtsllc.us

value: Show HN: Sparky - First of its kind sovereign, isolated and enterprise-grade AI

author: sparkydev


value: theonlyvasudev

value: contact - buildwise.space@gmail.com

value: Show HN: Selling My AI App Builder

author: theonlyvasudev

story_text: contact - buildwise.space@gmail.com

title: Show HN: Selling My AI App Builder


value: Show HN: Zbench, RAG evals using chess Elo ratings


value:
Hey HN,
I built go-respec to solve a long-standing annoyance with OpenAPI tooling in Go — the overwhelming reliance on magic comments and boilerplate. If you’ve used swaggo, oapi-codegen, or similar tools, you probably know the pain.
go-respec takes a different approach:
- No annotations
- No code generation
- No wrappers
It statically analyzes your Go source and infers a full OpenAPI v3 spec — routes, request/response bodies, parameters, middleware, even security — and gives you clean override options when needed. It’s framework-agnostic (works with chi, gin, echo, etc.) and doesn’t care what architecture you use.
You can get a working spec in seconds:

    go install github.com/Zachacious/go-respec/cmd/respec@latest
    respec . -o openapi.yaml

I built this for my own projects after being frustrated with the existing ecosystem, but it’s already proven useful beyond just my use case.
Would love your thoughts, critiques, or feature requests.
Repo: https://github.com/Zachacious/go-respec
Docs: https://github.com/Zachacious/go-respec#readme

value: Show HN: Go-respec – Generate OpenAPI specs from Go code, no annotations needed


value: addrzone

value: Show HN: Reddit but for bots – humans can only vote, not post

author: addrzone


value: mcteamster

value:
G’day HN, this year I've been remaking my online adaption of the classic party game 1000 Blank White Cards (https://en.wikipedia.org/wiki/1000_Blank_White_Cards)
I started this project in 2019/2020, originally as a drinking game for house parties, but it transformed into a way for my friends to keep in touch during the long Melbourne COVID lockdowns.
Essentially anyone can draw and submit cards to a common ‘Global Deck’. You then pick them up and do what they say (or not). The whole premise of this game is that there are no concrete rules - they’re forever evolving.
Over the years people from around the world have contributed nearly 500 cards. I have to say I’m impressed that it’s probably 80% high vs 20% low quality content. The art ranges from awesome to hilariously crude and the gameplay is somewhat coherent - but always hilarious.
There are global servers for multiplayer custom games where people can jump into the same session and move cards around a bit more like a real tabletop game. I’ve recently added support for Discord Activities (https://discord.com/discovery/applications/13895086247742013...) so you can play directly inside a call.
Start with a blank slate and save your custom deck creations to re-upload in later games. Coming up on the feature roadmap is a proper deck builder/editor mode.
It’s been a really interesting challenge trying to create a game that has no rules, but I’ve learnt a lot in the process. My biggest takeaway is that human creativity has no (lower) bound :)
I hope you have as much fun playing it as I do making it, and that one day we’ll reach the magical 1000 card mark.
~mcteamster
P.S. this wouldn't have been possible without great open source software like
+ https://boardgame.io/
+ https://wiredjs.com/
+ https://www.fiala.space/atrament/
= https://github.com/mcteamster/white

value: Show HN: Blank White Cards – Global Drawing Party Game

author: mcteamster


value: Show HN: Zu – A minimalist key-value database engine for modern applications


value: moughxyz

value:
My fingers have been aching lately, likely due to inflammation, and I have an important project I need to work on, but haven't been able to put in the time it needs.
I tried the various speech-to-text products out there like WisprFlow and VS Code Speech but they both did a pretty lousy job of converting my speech to code syntax.
I put together this VSCode extension that works very well for my needs, which is dictating code syntax orally and converting it to the right code, based on the context on the page.
So if you have
type User struct {

   ID        string    `json:"uuid" gorm:"primaryKey;type:uuid"`

   | <- cursor here

}
You can say outloud:
"Updated at time dot time json updated at not null"
and it will convert it to:
type User struct {

   ID        string    `json:"uuid" gorm:"primaryKey;type:uuid"`

   UpdatedAt time.Time `json:"UpdatedAt" gorm:"not null"`

}
Demo video: https://x.com/moughxyz/status/1948477448838152259
Direct download link: https://marketplace.visualstudio.com/items?itemName=moughxyz...

value: Show HN: Inflammation – Intelligent Voice to Code for Cursor and VSCode

author: moughxyz


value:
Hi again HN.
The short version: a retro style computer simulator, focused on low-level coding. You could sort of think of it as pico8's low-level stuff (peek/poke, memory access, vram, etc) turned up 1000%.
For example, it gives you a Lua API for encoding assembly to memory and then running it, and you can access the same memory space from Lua as from Assembly. It uses your native assembly btw, it's not a custom assembly language, it's real 64-bit windows assembly.
It also comes with LPeg built in, so that you can experiment with generating either Lua bytecode or native assembly, making it a really fun and visual way to make your own programming language! It's really nice to be able to write your own code that literally draws to the screen. Imagine making your own language and making pong work in it!
It's still very early, but last time I posted here I was told to release early and release often, so I'm putting a lot of the really exciting features into the next few releases.
Thanks for your time, have a great day!

value: Show HN: HRAM, the Hand-Rolled Assembly Machine


value: 100% python, well made, in my opinion of course.

value: Show HN: I'm glad with my file uploader

title: Show HN: I'm glad with my file uploader


value: Zshawqi

value: Uplogr is a social changelog platform that helps indie builders and product teams share updates, track progress, and build in public. Users can share updates, maintain a public changelog, and stay consistent with build streaks. Pro features like feedback collection, polls, shareable questionnaires and a knowledge base make it easy to engage your audience and grow with your community.

value: Show HN: Uplogr – Social Changelog App

author: Zshawqi

title: Show HN: Uplogr – Social Changelog App


value: gitlinuxgreat

value: I know it needs a lot of work to be done.  But there are some things that can be done like posting a new topic and commenting.

value: Show HN: Chatddit.com early version, anonymous posts and comments

author: gitlinuxgreat


value: todsacerdoti

value: Show HN: String.com - Prompt, code, and deploy AI agents

author: todsacerdoti


value: fcpguru

value:
If you are familiar with the show "Love is Blind" this concept is similar but 100% internet based. Using vdo.ninja and OBS (open broadcasting software) and a little javascript I think I have all the components to make this work. If you goto:
https://andrewarrow.dev/love-at-first-mic/
At the bottom of the page where it asks for an invite code enter "88c5_48c4_8cf6" it will add two iframes to the page. Accept the request for mic and camera access (if you dare!)
Then another person would enter the same code but select PersonB. The iframe on the left should be showing your camera view and the iframe on the right should be just a blank black box but audio from the other person should be coming through.
Then, the producer of the show (me) opens OBS on a desktop computer and uses that same invite code to add the full video and audio source from each person. OBS has many source options and one source can be "Browser" and it works perfectly. I can even crop and scale and position the two videos side by side and then save everything to a video file.
The best part? No backend server! All free! Amazing right? I've tried to disable javascript and right clicking as best as I can to prevent users from turning on the other person's camera. But if a person is determined to cheat, there are lots of other ways.
What do you think hackers? Has this be done before? Anyone want to be on the first season?

value: Show HN: Building "Love at First Mic" – Tech Clone of TV Show "Love Is Blind"

author: fcpguru


value: antslaugh

value: I built a lookalike finder. I'm currently only running it on celbrities, but I hope to one day expand this to explore and build the full latent space of human faces. Let me know how you find the UI, it's never been my strong suit.

value: Show HN: An embedding space neighbor finder (doppelgängers)

author: antslaugh


value: dsstudios

value:
For years, the question of my actual 'body count' was a nagging personal curiosity. My memory is fallible, and the common solutions—like keeping a list in a notes app or a spreadsheet—always felt insecure and strangely clinical. I wanted a tool built for this specific purpose: a private, secure space to finally get an accurate number.
So, I built BodyCount.
Once I started inputting my own data (the data my brain had long forgotten), the project evolved. It became less about the final sum and more about the story the data told. Visualizing the connections on a map and seeing patterns over time gave me a new perspective on my own history. It wasn't just a number; it was a private, personal dataset that I owned and controlled.
From a technical standpoint, privacy was the absolute priority. The goal was to create a space that felt significantly more secure than a standard cloud-based note. All data is stored privately, with a focus on ensuring user entries are for their eyes only.
I posted an earlier version here a couple of days ago and received some great feedback. A recurring theme was the desire for people to try it out without hitting a paywall. So, I've spent the last 48 hours implementing a freemium model. You can now log your first few connections and explore all the features for free to see if it's right for you.
The site is www.bodycount.love
I’d love to get your feedback on the new freemium flow and the overall concept. Is a private, data-driven dashboard a better solution than the old notes app method for this kind of personal data?

value: Show HN: I built BodyCount to get an accurate 'number'

author: dsstudios


value: ymichael

value: Show HN: Is Anthropic Down?

author: ymichael

title: Show HN: Is Anthropic Down?


value: khaledshadid

value: Show HN: NeuralAgent: An open-source AI assistant that runs your entire desktop

author: khaledshadid


value: yregmi

value: Show HN: I built a protocol that lets AI agents use your website (Demo)

author: yregmi


value: kamjin

value:
Sometimes I need to extract material such as text or images from certain web pages, but other tools are not simple and convenient, so I wrote this browser plugin.
Free, secure, and purely local processing. Please provide feedback if you have any requests.
Be kind to the web: use Crawell for inspiration and research, not for stealing the neighbour’s cat photos.

value: Show HN: Crawell – Extract any page as Markdown or download images in bulk

author: kamjin


value: saporito

value:
as title says
i mostly did it because I had a free afternoon at work, built something fun and dumb and it ended up being more dumb and fun than i thought
submit your meeting link and the bot should join the call. users can send commands in-chat and the bot will play the audio
no sign-up required and i’m hosting it for free. hope you have as much fun as i did
cheers!

value: Show HN: Add viral TikTok audio to work meetings

author: saporito


value: yestwind

value:
Hi HN! I built CreateVision AI, an image generator that uses AI mentors to help write better prompts.
Link: https://createvision.ai
*What makes it different:*
- 6 specialized AI mentors (Renaissance, Anime, 3D, Fashion, Abstract, Traditional Eastern)
- Each mentor enhances prompts in their artistic style
- Dual engines: Flux Dev + GPT-Image-1
- 2-4 second generation time
- 8 language support
*Technical details:*
- Built with Next.js 14, TypeScript, Supabase
- Custom caching layer for speed
- Global lock mechanism for request handling
- Vercel Blob for optimized image delivery
*Why I built this:*
After analyzing 50k+ generations, I found users averaged 3-4 attempts to get good results. The problem wasn't the AI model - it was prompt writing. Our AI mentors solve this by teaching artistic principles while enhancing prompts.
Free tier: 20 images/day with watermarks
Premium: $9/month for 100 images + both engines
Ultimate: $15/month unlimited
Would love feedback on the mentor system and any suggestions for improvement!

value: Show HN: AI image generator with 6 artistic mentors for better prompts

author: yestwind


value: Show HN: I built a notion ai agent

title: Show HN: I built a notion ai agent


value: twelvenmonkeys

value: Show HN: Blueboots – A retro themed Fedora OS built with one Containerfile

author: twelvenmonkeys


value: Show HN: I built a SaaS that makes creating TikTok/IG slideshows dead easy


value: Quoriath

value:
I built an offline-first Android app to manage files, convert media, split PDFs, and more. Works without login, optimized for low-end phones.
Built using Flutter with native plugins for audio/video processing.
Not meant to be fancy — just solving the problem I had with juggling too many apps.
You can search NeoArchive on Play Store if curious. Feedback welcome!

value: Show HN: NeoArchive – Offline Android File Manager with 25 Tools

author: Quoriath


value:
Hi HN,
I built an app that lets you query subtitle dialogue across movies & TV in real time.
Tech is a PostgreSQL 17 database running on a mini-pc in my living room, plus flexsearch on the client. The real effort was processing the extensive dataset — thanks OpenSubtitles.org!
My future goals for this project are to add server-side vector search, with the option to search across many/all titles simultaneously. I need to seriously clean the dataset to make this feasible on consumer hardware.
Feedback is welcome. Please report any cases of failures to retrieve subtitles. Enjoy.

value: Show HN: Clipzy – Dialogue grep for any show or movie


value: railka

value: Show HN: XRED – a social network with no ads or tracking

author: railka


value:
I built Strength Journeys, a free open-source dashboard that turns your Google Sheet lifting log into visual insights.
I've been working on this for about 3 years - teaching myself React (Next.js) and Javascript.
It’s designed for long-term barbell lifters and strength nerds who already track workouts in spreadsheets. All processing happens in the browser—no backend, no login, no data lock-in.
It has an openAI API "talk to your data" and a lifting coach feature.
Feedback very welcome—especially if you lift or track data in Google Sheets!
I personally am a 51 year old garage powerlifter.  The app helps keep me motivated.
https://github.com/wayneschuller/strengthjourneys

value: Show HN: Strength Journeys – Visual dashboard for GSheet barbell lifting logs


value: con-architect

value: Show HN: I'm not a developer, but I spent a year architecting a compassionate AI

author: con-architect


value: hapJam

value: Show HN: Fortzone Battle Royale

author: hapJam

title: Show HN: Fortzone Battle Royale


value: Show HN: Updated Weekbook Report Component – Weekly Transaction Report


value:
Hey HN,
I’ve developed a unique encryption system called *D256* that works completely offline — no internet, no devices, no code — just real-world variables and mathematical logic.
###  What is D256?
D256 is a cipher system based on:
-  The day that falls 256 years before the current date
-  12-hour clock time converted to decimal
-  Ambient temperature at encryption
-  A prime number assigned weekly
-  Boiling time as entropy
-  Plus, each character is indexed and encoded using per-digit logic
Together, it creates a strong, adaptive encryption formula that works entirely without digital systems — making it immune to most modern attacks.
> You can encrypt messages using just a paper, thermometer, and clock.
---
###  What I'm Offering
I'm selling *exclusive rights* to the system:
-  Fully illustrated PowerPoint presentation
-  License Agreement granting full ownership
-  README + authorship credits
-  Packaged in a downloadable ZIP file
*Only one person/company will ever own or resell this version.*
 *Price: $1,999 USD (one-time)*
---
###  Why Am I Posting Here?
- Looking for someone who sees value in unique, offline encryption
- Open to feedback on presentation, math, or commercial use
- If you know someone in cybersecurity, crypto-art, or defense — this might be for them
---
###  Preview or Demo?
I’m happy to show parts of the presentation or explain how the cipher works if anyone is curious.
Ask me anything!
Thanks,
*Haroon Sharif*

value: Show HN: D256 – An Offline, Physics-Based Encryption System (Exclusive Sale)


value: qwikhost

value: Instantly download Telegram videos from private groups & channels. Fast, free & secure Telegram video downloader.

value: Show HN: Telegram Videos Downloader – TG Downloader

author: qwikhost


value: LeoGoverG

value:
Hello! I was tired of building the same things over and over that companies kept asking for: Home page, About, Pricing, Stripe integration, FAQ, etc.
So, I made a boilerplate for SaaS founders and freelancers to launch the basics of any SaaS in 24 hours.
It uses TypeScript, connected to Supabase and Stripe, so users can start selling ASAP. It's a simple boilerplate, but it has everything you need to get started. It can help save hundreds of hours and let you skip all the time it takes to set up the basics.
There's a full doc that shows how to set everything up step by step. Feel free to use the "Use this template" button on GitHub. It will be available for free all weekend.
I would love to get some feedback before launch.
Thank you!

value: Show HN: Made a boilerplate for SaaS and Freelancers to deploy in 24h

author: LeoGoverG


value: kyrylo

value: Feed the catipede and watch it grow (or die...)

value: Show HN: The Catipede

author: kyrylo

title: Show HN: The Catipede


value: DiegoCMX

value:
Hi HN,
I’m Diego Fernando Cruz, from Brazil.
I created *UniversalBit* — a new kind of protocol.
A binary system that can represent *anything human*, and allow it to talk to machines.
Not just voice.
Not just DNA.
Not just emotion or video.
*Anything.*
This protocol was born from one thing only:
 My son, Victor Katchor Cruz. He is autistic.
He had difficulties communicating, and I wanted to build something — not just a tool, but a system — that could one day help him express himself, even without words.
That became VoiceBit.
Then VideoBit.
Then BioBit.
And from all of them together, *UniversalBit* was born.
---
###  What is UniversalBit?
UniversalBit is a *binary representation protocol* for human-derived input:
- It converts *voice*, *video*, *DNA*, or *any pattern* into a compact binary signature
- Each signature captures the "identity" of a moment, person, signal or condition
- If *just one bit changes*, the system detects it — meaning:
  - a mutation,
  - an emotional shift,
  - a new disease,
  - or a previously unseen signal
It’s not just a way to record information.
It’s a way to *compare*, *detect*, and *communicate*.
---
###  Where can it be used?
*UniversalBit is unlimited.*
It can be applied in:
| Field           | Application                                                             |
|----------------|--------------------------------------------------------------------------|
| Medicine        | Binary fingerprint of diseases, mutation detection, diagnostics         |
| Emotion AI      | Signature of emotional tone, laughter, sadness, even deception          |
| Genetics        | Detect changes in DNA with 1-bit resolution                             |
| Accessibility   | Let people who can’t speak be heard through binary expressions        |
| Education       | Monitor attention, fatigue, clarity, through speech and visual cues     |
| Robotics        | Build voice-to-action binary systems for human–machine interface        |
| Cybersecurity   | Biometric identity via voice, DNA or behavioral patterns                |
| AI Training     | Create compact datasets of human states as binary vectors               |
| And beyond…     | Every new idea can start from this protocol                             |
---
###  How it works (now):
-  *VoiceBit* analyzes real-time audio, extracts features, generates emotion-based binary signatures.
-  *VideoBit* compresses frames to 32x32 pixels, tracks movement, color, and creates binary fingerprints.
-  *BioBit* reads DNA files (.fasta), extracts base frequency, converts them into binary signatures and compares them to previous cases using Hamming distance + local LLM (Mistral).
All components run *offline*, on any basic computer.
No cloud, no server, no external APIs.
Just Python and love.
---
###  The Vision:
This is more than a protocol.
*It’s a language.*
A bridge between human and machine.
A foundation to invent *anything* you can imagine:
- Binary emotion interfaces
- Personal AI identities
- Synthetic speech verification
- Disease evolution detectors
- Even dreams translated into patterns (maybe one day)
---
###  Why I made this:
> "My son doesn’t speak much.
> But maybe one day, he can speak through this."
> — Diego F. Cruz
I had no funding.
No lab.
Just my son, a basic PC, and a dream.
Everything is free and open.
Every file is digitally hashed with SHA256 to prove I created it first.
---
###  Project Links:
GitHub: https://github.com/Diegocmx/voicebit
Email: diegocodigobits@gmail.com
Country: Brazil
License: Open to the world. Protected by love.
Thank you for reading.

value: Show HN: UniversalBit – A new binary protocol to connect voice, video and DNA

author: DiegoCMX


value: gaganyatri

value:
Try dwani at https://demo.dwani.ai
dwani.ai is a Document Analytics Platform
- Designed for Indian + European languages.
- It can be self-hosted and provides multimodal inference, supporting
  - text
  - images
  - documents
  - speech

value: Show HN: demo.dwani.ai – Document Analytics for Indian Languages

author: gaganyatri


value: rpastuszak

value: Show HN: 433 – How to make a font that says nothing

author: rpastuszak


value: PinShot is a free visual feedback tool that lets you upload your image pin anywhere, comment, share with your team, and resolve the issue.

value: Show HN: PinShot – a #1 free visual feedback tool


value:
I've been working on nodes.bio - an interactive tool for visualizing biological networks and systems thinking.
The tool features interactive network visualization powered by Cytoscape.js, with real-time graph editing and manipulation capabilities. It supports JSON import/export and provides a responsive design that works seamlessly on the desktop (mobile-friendly version coming later).
The tech stack combines modern frontend technologies with robust backend architecture. The frontend uses Next.js 14 with TypeScript and Cytoscape.js for the visualization engine. The backend is built with FastAPI and Python.
The featured demo showcases a Traumatic Brain Injury Nasal Spray mechanism of action visualization, demonstrating the tool's capability to handle complex biological pathway mapping.
You can explore the live demo at <https://nodes.bio> to see the TBI Nasal Spray visualization in action, along with other biological network examples.
I'd love feedback on the visualization capabilities or any suggestions for biological data integration. What do you think?

value: Show HN: I built a biological network visualization tool