value: maomorales

value:
Hey HN, I’m Mauricio, cofounder of DailyBot (YC S21).
TLDR: Some time ago we started providing Slack connect support to our own customers and we ended up building a simple Slack app for this. The goal was to have an AI embedded in the Slack connect channels to help us answer questions and solve support tickets. We then built it as a separate product namedSyntro (https://syntro.io).
The background: we and many of our customers noticed the same pattern of support requests increasingly coming in through Slack Connect channels. It’s faster and more natural for customers than opening a Zendesk or Email ticket. But it creates visible problems such as:
Having no structure - so there are messages scattered across threads and DMs.
Manual overhead - like copying into another ticketing/product feedback system.
We wanted to turn Slack itself into a support platform, and we found some alternatives in the market but they were a bit expensive and over complicated - so, knowing that at DailyBot we’re quite expert on Slack integrations - why not build it out?
Syntro does five things very well:
* Detects new requests in Slack by turning threads into tickets automatically.
* Maintains a board (kanban/list) for prioritization and tracking via web app.
* Suggests replies from your knowledge base or past tickets (you edit before sending).
* Keeps Slack and the ticket board in sync, so agents can work in either.
* Broadcast feature for announcements to multiple Slack Connect channels.
Technically, the tricky parts were:
1. Thread detection & context sync: Slack messages aren’t structured like tickets. We had to build logic to consolidate messages into coherent “requests.”
2. Two-way sync: Ensuring replies in Slack update the ticket system (and vice versa) without duplication.
3. Knowledge base ingestion: We support file uploads + URLs, then use embeddings for AI reply suggestions.
4. Slack Connect quirks. Permissions and visibility differ across shared channels; making the app feel native took time.
Current stack: Django backend, Next.js frontend, Postgres (with pgvector) for embeddings, Redis for state, LangChain + OpenAI/Claude for LLMs, and a Python bot for Slack integration.
Limitations / things we’re still working on:
- Better SLA tracking and reminders.
- More granular analytics for managers.
- Expanding to email perhaps.
We may open source it in the future - we have to clean up code first and decouple it from some DailyBot underlying infrastructure.
Product + demo here: https://syntro.io (completely free for launch)
We’d love your feedback - especially from folks who’ve hacked together their own Slack support workflows. What’s missing? What’s overkill? What do you wish someone had built instead?
Thanks HN,
Mauricio

value: Show HN: Syntro.io

author: maomorales

title: Show HN: Syntro.io


value: williamjinq

value:
Hi HN,
I've been experimenting a lot with Nano Banana AI recently, and noticed many users (myself included) often get stuck figuring out how to write effective prompts or discovering new ways to use the model.
To help with this, I built a new site: https://nanobananaprompt.io, which organizes a collection of prompt templates specifically for Nano Banana AI.
The site features categorized templates for design, e-commerce, image editing, anime/games, and creative projects—examples include 16-bit game style, AI figure generator, sticker creation, and background replacement. Each template includes a ready-to-use prompt, which you can copy with one click.
I'm continuously updating the site and working on a feature to allow users to submit their own prompts. If you're a heavy Nano Banana AI user or just getting started, feel free to check it out. Feedback and suggestions are welcome!
Hope this helps save some trial-and-error time and sparks new ideas for your projects.

value: Show HN: I Built a Website to Share Nano Banana Prompts

author: williamjinq


value: geminimir

value:
We built StripeMeter, an open-source usage metering platform that plugs directly into Stripe. It solves the classic SaaS pain of “why is my bill higher than expected?” by giving both developers and customers real-time usage tracking with live cost projections. Why it matters:
- Transparency: Customers see exactly what Stripe will bill them (within 0.5% parity).<p>- Exactly-once guarantee: No double billing, ever.<p>- Fast & scalable: Sub-minute freshness with Redis + Postgres counters.<p>We’d love feedback from SaaS builders, especially if you’ve struggled with Stripe’s metered billing. Does this solve a real pain for you? What would you need before trusting it in production?

value: Show HN: StripeMeter – Open-Source Usage Metering for Stripe Billing

author: geminimir


value: gabor-boros

value:
GitHub Releases is the default for many open source projects when sharing binaries. It works, but it was never really designed for proper distribution.
Common issues:
- Users have to manually download files, no easy automation.
- No download stats, so you never know which versions are popular.
- Limited CI/CD support beyond uploading artifacts.
- No repository integrations
ZipZen is a lightweight release hosting service built specifically for developers. You get:
- CLI & API integration
- Support for Helm package hosting that requires NO configuration
- Support for Linux package repos (APT/YUM) that requires NO configuration
- Download statistics
- Reliable binary hosting
If you are looking for release hosting or frustrated with GitHub Releases for distributing binaries, ZipZen is designed to make this easier. https://www.zipzen.dev

value: Show HN: ZipZen – Lightweight Release Hosting for Binaries

author: gabor-boros


value: araldhafeeri

value:
Hey Growth Hackers
I’m excited to introduce BistroAI  —a platform that uses AI to transform how we think about food creation and presentation.
With BistroAI, you can generate meal images, full descriptions, recipes, nutrition facts, prep time, and plating steps—in under 5 minutes.
During beta testing, I had the privilege of collaborating with chefs and food photographers. What surprised me most was that BistroAI doesn’t replace their artistry—it amplifies it. By helping them iterate faster, test new ideas, and visualize recipes instantly, BistroAI became a creative partner rather than a substitute.
The vision is simple:
Affordable meals → Restaurant-quality inspiration starting at just $1 each.
 Creative empowerment → From home cooks to professional chefs, BistroAI helps refine ideas and bring them to life.
 Endless applications → Food bloggers, photographers, and entrepreneurs can rapidly generate concepts that align with client visions.
Unlike traditional cookbooks, BistroAI gives you the ability to create something truly sensational and unique—backed by AI trained on more culinary knowledge than anyone could read in a lifetime.
Try a live sample here: bistroai.cc/sample
This is just the beginning. I’d love your feedback, ideas, and even the wild use cases you imagine for BistroAI. Together, we can reimagine what “AI in the kitchen” means.
Alhamdulillah for reaching this milestone  and thank you for checking out BistroAI!

value: Show HN: Bistroai.cc generate Michelin-quality meals with AI

author: araldhafeeri


value:
Hey HN,
I've been frustrated with how chats (like WhatsApp or Slack) and data (like surveys, to-do lists, or shared notes) often live in separate places—either buried in threads or scattered across links that get lost. So I built Pinblocks (https://pinblocks.io), a tool that lets you pin interactive blocks of data directly to your chat messages. Anyone can collaborate on them in real-time, from anywhere, without leaving the conversation.
Think of it like Notion meets chat: Each "canvas" (pinned to a message) can hold multiple blocks, and users can edit, vote, or interact with them collaboratively. For example, my team used to send badminton surveys in WhatsApp groups, but incoming messages would push them down and clutter everything. Now, we pin a survey block right in the chat—it stays visible, updates live as people respond, and doesn't get drowned out.
Another use case: For my kid's birthday party, I created a canvas with blocks like an event scheduler for RSVPs, a to-do list for tasks (e.g., buy cake, decorations), a survey for game preferences, and even a text block that generates daily quotes or jokes to keep the planning group engaged and fun.
Key features:
Easy and Different block creation: /todo for a shared to-do list, /survey for polls, /event for scheduling, /table for spreadsheets, /text for notes (which can auto-generate daily quotes, jokes, etc.), or even /tictactoe for fun games.
AI-powered generation: Integrated AI lets you create blocks on the fly. Say "Generate a to-do list for our weekly meeting" or "Add a joke of the day block"—it pins instantly for more engagement in groups.
Cross-platform collab: Works in any chat app that supports pinning or linking; changes sync across users.
Tech stack: Frontend with React, TanStack Router, and Tailwind CSS; backend powered by Supabase.
Early stage, but I'd love feedback on usability, more block types, or AI integrations. What do you think—does this solve a pain point for your groups? Try it at https://pinblocks.io.

value: Show HN: Pinblocks – Pin collaborative data blocks to your chats


value: MKuykendall

value: Show HN: Shimmy – 5MB privacy-first, local alternative to Ollama (680MB)

author: MKuykendall


value: yathern

value:
I used to use https://doc.new when I needed to write quick scratchpad notes, but it takes like two seconds for Google Docs to be interactable, and ends up polluting my Drive with a bunch of "Untitled Docs".
Lately I've used a bookmarklet that opens a fullpage contenteditable div which is instantaneous and worked for my needs. But I wanted persistence when I accidentally close the tab, and data-urls can't use localstorage, so I spun up quicknote.zip.
It loads in the blink of an eye, works offline, and stores each day to localstorage. That's all it does, take it or leave it.

value: Show HN: Quicknote.zip (Daily Micro Scratchpad)

author: yathern


value: abelsm

value: Show HN: Dreamflow – Visual editor for AI generated Flutter apps

author: abelsm


value: asaskevich

value:
Hey HN,
I’m Aliaksei Saskevich, CTO & Software Engineer at Sequoia Health. My team and I have built an iOS app to help men improve their sexual health through lifestyle changes and guided exercises — no medications involved.
We noticed that many men struggle to talk about sexual health and often seek help only when things get critical. Our goal is to offer a science-backed, stigma-free tool that helps earlier and more effectively.
What makes Sequoia different:
- Exercises are personalized based on the IIEF test (International Index of Erectile Function).
- Content is written by certified sexologists and psychologists on our team.
- We offer optional online consultations with real specialists.
- We’re building a structured knowledge base focused on practical, non-pharmaceutical solutions.
Achievements so far:
- Partnered with a local lab to offer discounts to users.
- Members of the World Association of Sexologists.
- Official partners of UNFPA.
- Ranked #2 and #5 Product of the Day on Product Hunt: https://www.producthunt.com/products/sequoia-men-s-sexual-we....
Results:
- We ran a user survey inside the app — 79% of respondents reported improvements in their sexual health. Full report: https://sequoia.health/research/research-report-user-survey-...
- The study was accepted and presented at a medical conference.
Current features:
- 21-day exercise plan with progressive difficulty
- Symptom tracker
- Articles by medical professionals
- Calendar & reminders
- Regular checkups
- Health stats dashboard
What we’re working on now:
- AI-driven personalization: We’re developing an AI module that analyzes user input and IIEF results to recommend tailored exercise plans and summarize the user’s current health status in clear, actionable terms.
- Integrated online consultations: Users can now book sessions directly with certified sexologists and psychologists through the app — for deeper guidance, emotional support, or clarification on their progress.
Pricing:
- Limited free features
- Monthly: $19.99
- 3 Months: $38.99
- Annual: $69.99
- Lifetime: $199.99
Would love feedback on:
- UI/UX: What works, what doesn’t?
- Features: What feels essential, missing, or over-complicated?
- Pricing: Does it feel fair for what’s offered?
- Motivation: What drives users to pay for health apps like this?
Try it here: https://apps.apple.com/app/apple-store/id1553925344
We’re iOS-only for now and actively looking for an Android developer to help us expand.
Thanks for reading — happy to answer any questions or dive deeper into the tech, research, or product decisions.

value: Show HN: Sequoia – App to Improve Male Sexual Health Without Pills

author: asaskevich


value: MADEinPARIS

value: Show HN: Provable Safety for AI Agents

author: MADEinPARIS

title: Show HN: Provable Safety for AI Agents


value: delange

value:
Hey HN,
While working with different LLMs in Go at Marble (open source Fraud & compliance automation platform), we got tired of juggling the specific SDKs and request/response structs for OpenAI, Anthropic, Cohere, etc. It makes switching providers or even just testing a new model more work than it should be.
To fix this, we built `llmberjack`. It’s a lightweight, no-frills Go library that provides a single, common interface over multiple LLM backends.
It's *not* a complex framework like LangChain. There are no agents, chains, or magic. It does just one thing: give you unified, typed, request builder functions so you can swap out providers with a one-line config change while still taking advantage of provider-specific bells and whistles. The goal is to avoid vendor lock-in and keep application code clean and simple.
Here’s a quick example:
```go
gpt, err := openai.New(openai.WithApiKey("..."))
gemini, err := aistudio.New()<p>llm, err := llmberjack.New(
 llmberjack.WithDefaultProvider(gpt),
 llmberjack.WithProvider("gemini", gemini),
 llmberjack.WithDefaultModel("gpt-5"),
)<p>type Output struct {
 LightColor string `json:"text" jsonschema_description:"Color of the traffic light" jsonschema:"enum=red,enum=yellow=enum=red"`
}<p>resp, _ := llmberjack.NewRequest[Output]().
 WithText(llmberjack.RoleUser, "What is the traffic light color indicating for cars to stop?").
 Do(context.Background(), llm)<p>obj, _ := resp.Get(0)<p>fmt.Println("Traffic light is ", obj.LightColor)
```
It’s open source and the code is straightforward. We’d love to get feedback or contributions.
Check it out on GitHub: https://github.com/checkmarble/llmberjack

value: Show HN: Llmberjack, A simple open-source Go interface for multiple LLM provider

author: delange


value: swazzy

value: Show HN: Create SVGs with GenAI

author: swazzy

title: Show HN: Create SVGs with GenAI


value: ssoossoo

value:
Hi HN,
I built ToysQuiz.com
 to solve a problem I kept running into as a parent/uncle/friend: choosing the right toy for kids. Most gift guides I found online were either generic lists or overly commercial. I wanted something more interactive, so I put together a quiz that asks a few simple questions (age, interests, play style) and recommends toys that are actually appropriate.
A few things about the project:
Personalization: Instead of browsing endless product lists, the quiz narrows down options based on the child’s profile.
Categorization: I manually tagged toys across categories (STEM, creative play, outdoor fun, etc.) so suggestions aren’t random.
SEO + UX challenge: I tried to balance making it friendly for parents while also lightweight and fast-loading.
Tech stack: Built on Shopify for the storefront + custom quiz logic. Still tweaking the recommendation algorithm.
I’d love feedback on:
Does the quiz experience feel useful or gimmicky?
Any ideas for making the recommendations smarter (e.g., data, filters, UX)?
Suggestions for how to keep it parent-friendly while not overwhelming with choices.
This is a side project, and I’m experimenting to see if personalized toy discovery can actually help reduce the stress of gift shopping. Curious what the HN crowd thinks!
Thanks in advance

value: Show HN: ToysQuiz – A toy gift finder for parents

author: ssoossoo


value: synthpaper

value:
Experiment: I gave my AI a domain (synthpaper.com) and asked it to design a business.
I only execute the steps it gives me.
Result: SynthPaper — short, skimmable research reports for busy professionals.
The first issue is “AI Tools in 2025” (13 pages). It covers:
• Foundation models
• Productivity assistants
• Content creation
• Developer & infrastructure
• Operations & automation
• Plus the F.I.T. framework (Focus, Integration, Total Cost)
I’ll share the links in the first comment.

value: Show HN: SynthPaper – AI-directed micro-publication on AI tools

author: synthpaper


value: abhijithneil

value:
Traditional databases rely on RAG and vector databases or SQL-based transformations/analytics. But will they be able to preserve per-row contextual understanding?
We’ve released Agents as part of Datatune:
https://github.com/vitalops/datatune
In a single prompt, you can define multiple tasks for data transformations, and Datatune performs the transformations on your data at a per-row level, with contextual understanding.
Example prompt:
"Extract categories from the product description and name. Keep only electronics products. Add a column called ProfitMargin = (Total Profit / Revenue) * 100"
Datatune interprets the prompt and applies the right operation (map, filter, or an LLM-powered agent pipeline) on your data using OpenAI, Azure, Ollama, or other LLMs via LiteLLM.
Key Features
- Row-level map() and filter() operations using natural language
- Agent interface for auto-generating multi-step transformations
- Built-in support for Dask DataFrames (for scalability)
- Works with multiple LLM backends (OpenAI, Azure, Ollama, etc.)
- Compatible with LiteLLM for flexibility across providers
- Auto-token batching, metadata tracking, and smart pipeline composition
Token & Cost Optimization
- Datatune gives you explicit control over which columns are sent to the LLM, reducing token usage and API cost:
- Use input_fields to send only relevant columns
- Automatically handles batching and metadata internally
- Supports setting tokens-per-minute and requests-per-minute limits
- Defaults to known model limits (e.g., GPT-3.5) if not specified
- This makes it possible to run LLM-based transformations over large datasets without incurring runaway costs.

value: Show HN: Per row context understanding for data transformations

author: abhijithneil


value: Show HN: Dancing Links (DLX) algorithm to solve Exact Cover problems


value: jose-cl

value:
Hi HN! This is my first game — something I’ve always wanted to do.
It’s a small browser game built with Phaser 3, React, and the phaser template (https://github.com/phaserjs/template-react-ts/).
I made it in 2 days (like 8 hours in total real time) using gemini-cli. About 90% of the code was generated with AI, but I learned a lot by making fine tweaks.
It only works on PC since it’s a typical WASD + R (reload) shooter.
I’d love feedback on:
- Gameplay (is it fun, too hard?)
- Ideas for new features
Thanks in advance!
ps: I used cubes as a prototype, but now I kind of like them. Should I keep them or implement proper sprites?

value: Show HN: A small browser game (PC only) built with Phaser 3

author: jose-cl


value: mynameisfunk

value: Show HN: Automatically surface and implement high-potential ideas for your repo [video]

author: mynameisfunk


value: romeumaleiane

value:
I’ve been building Invocly over the past few weeks — a tool that transforms entire documents into natural-sounding audio. Instead of copy-pasting text, you can just upload or share a document and listen to it on the go.
Features
Upload documents and convert them directly into audio
Clone your own voice with short samples for a personalized experience
Clean and simple interface — minimal setup required
Fast iteration — we’re shipping improvements quickly based on user feedback
I’d love to hear feedback from the HN community, especially on what formats or integrations would be most useful.
Try it here: https://invocly.com

value: Show HN: Invocly – Convert PDF, DOCX, and TXT files into lifelike speech

author: romeumaleiane


value:
Hi HN, I’m Tina
I’ve been exploring how to make large language models more reliable. One persistent issue is hallucinations — models can produce confident answers that are factually wrong or based on non-existent sources. This is especially risky for fields like finance, law, or research where accuracy matters.
To address this, I’ve been building CompareGPT, which focuses on making AI outputs more trustworthy.
Key updates we’ve been working on:
Confidence scoring: every answer shows how reliable it is.
Source validation: highlights whether data can be backed by references.
Multi-model comparison: ask one question, see how different models respond side by side.
 Try it here: https://comparegpt.io/home
It currently works best with knowledge-based queries (finance, law, science). We’re still ironing out limitations — for example, image input isn’t supported yet.
I’d love to hear what you think, especially where it fails or where it could be most useful. Brutal feedback welcome
Thanks!

value: Show HN: CompareGPT – Trustworthy AI Answers with Confidence and Sources


value: alva

value:
Hey HN! I've been frustrated with how complicated most digital download apps are for Shopify and lack of functionality, so I built Alva Digital Downloads with a focus on simplicity, security and responsive human support.
What it does:
Auto-delivers digital files (PDFs, videos, ebooks, courses) after purchase
Built-in fraud protection that holds suspicious orders for review (a common problem with digital products is they get delivered to the fraudulent customer before the actual payment fails)
No bandwidth limits even on the free plan
Time limits, download counts, and IP restrictions to protect content
Works with Shopify's native checkout and customer accounts
What makes it different:
After trying dozens of digital download apps, most were either too complex or had non existent support. I focused on making setup as simple as it can be  and providing real human support. The free plan is actually useful (1.5GB storage, unlimited bandwidth) - not just a trial. The fraud protection is a major benefit for stores. Almost every one of my competitors delivers digital files after product purchase but before the purchase has reached the end of the payment lifecycle. A growing number of people are aware of this and are using fake CCs to get whatever digital content for free. Alva Digital Downloads solves this problem, keeping your content secure until the payment has fully completed.
Try it out:
If you have a Shopify store: Install directly from https://apps.shopify.com/alva-digital-downloads
For more info and a demo link check out https://www.alvadigitaldownloads.com/
Tech stack: Built with Node.js, React, and uses CloudFlare R2 + Workers for file storage and delivery.
I launched this in August and would love feedback on the UX, pricing, or features you'd want to see. Happy to answer any questions about building Shopify apps or the challenges of digital product delivery!

value: Show HN: Alva Digital Downloads – I built a better way to sell files on Shopify

author: alva


value: IsruAlpha

value: send your new year wishes with the world and get likes and comments ALL anonymously.

value: Show HN: Wish – share your new year wishes

author: IsruAlpha


value: I've put together a post on the latest developments in AI tools, covering breakthroughs and free resources that came out in August 2025. I hope this helps anyone looking to stay up-to-date with the fast-moving AI landscape.

value: Show HN: Top AI Breakthroughs and Tools Making Headlines in August 2025


value: cat-turner

value: Hello! I am coparenting... and hated having to ask my baby daddy to pay for my sons clothing, school supplies groceries etc bc I had to add everything up. So I fixed it! I<p>- upload reciepts/bankstatements (no uploads saved)<p>- in description say the kinds of things you want to add up, even some math (like split)<p>- tally adds it up<p>it splits the costs if you add in the word split in the description. perfect for people who need to split costs, like gas, daycare, etc. would love any feedback. totally free! one day i will add a paywall, is daycare is EXPENSIVE.

value: Show HN: Tallyit.co/coparents – Split costs with your baby dady

author: cat-turner


value: whatsyoursource

value:
Most people now get their news from social feeds — but those feeds reward popularity, not accuracy. Misinformation spreads fast, and even well-intentioned users often can’t tell what’s reliable.
I’ve been working on a different approach: a social/news platform where every post carries a credibility score. Instead of likes or shares, users assess posts by linking to supporting or refuting sources. Credibility then updates across posts, users, and domains in real time.
A few things that might interest HN:
- Anonymous/pseudonymous accounts (no personal brands driving popularity).
- Credibility > virality: feeds are sorted by time & trustworthiness, not engagement.
- URL and domain-level scoring: credibility of sources builds over time.
- Four feeds: Front Page, Bullpen, Cred Desk, and Subscriptions (you can filter by credibility percentile).
It’s in public beta here: https://noblenews.io
Curious what HN thinks:
- How might this system be gamed or abused?
- What are your thoughts on pseudonymous usernames?
- What would make it more useful for people who actually want reliable news?

value: Show HN: A credibility-based social platform (no Likes) to fight misinformation

author: whatsyoursource


value:
nano banana is hot right now, but how to use it create image as you wish is a problem.
so it is what nanobananaprompt.app come help.
you can find over 50+ professional prompts across
categories (3D rendering, photorealistic, illustrations, etc.), can get this prompt and try it now.

value: Show HN: Nano Banana Prompt Collection

title: Show HN: Nano Banana Prompt Collection


value:
I used NHibernate at work, but sometimes it's hard to view the generated queries. (SQL profiler is a little hard to use and the queries aren't formatted. NHibernate Profiler is good but costs us too much money)
Therefore I spent the last few weekends writing a small utility to do that. You only need to add reference to the DLL and run your .NET app, it will output the query in the Profiler similar to how it's done in NHibernate Profiler.
I appreciate any feedback and suggestion. Thanks.

value: Show HN: OpenProfiler – An utility to view NHibernate's generated queries


value:
Backstory:
Few years back, I used a shared spreadsheet (GSheets) to organize my property hunt, and found it quite frustrating to keep on top of things just on the productivity side alone.
Felt that there should be a better way to do this, and that's when I started creating a webapp, with features that can make this journey feel less stressful.
This is a solo dev project. Have a look at the demo, and let me know your thoughts!
Cheers

value: Show HN: Webapp to organize search for properties when renting/buying


value: loumf

value:
This is the first half of my book, “Swimming in Tech Debt”. It is available at a pre-launch sale price of $0.99 (https://loufranco.com/tech-debt-book).
I have been working on it since January 2024. It is based on some posts in my blog, but expands on my ideas quite a bit.
In September 2024, excerpts appeared in Gergely Orosz’s Pragmatic Engineer newsletter, which helped me get a lot of feedback that expanded the book from my initial idea. This half is about what I expected to do before that —- the rest of the book goes into team and CTO practices.

value: Show HN: Swimming in Tech Debt

author: loumf

title: Show HN: Swimming in Tech Debt


value:
Hey HN,
As the title says, I built this because AI-generated web automation scripts are often full of hallucinated CSS selectors. They’re simply guessing because they can't see the actual page.
My tool, Slash, fixes this by giving the agent a real browser.
It sees the page: Before writing any code, it loads the site and analyzes the live DOM. This leads to much more reliable Playwright scripts.
You get the code: It outputs the full script, not just a data file. This means no black boxes. You can run it, put it in a cron job, and modify it however you want.
The goal is to get the benefits of AI for automation without sacrificing control and verifiability.
Since we're here, I made a short demo of Slash scraping the HN front page: https://slash.cool/slash-demo-hn.mp4
I'm here to answer questions and would love your feedback.
You can try the tool itself here: https://slash.cool/

value: Show HN: My AI agent has a browser to fix hallucinated selectors


value: johncole

value: Scrape the most recent congressional stock trading.

value: Show HN: Scrape Congressional Stock Trading

author: johncole


value: adityasbhatia

value: Show HN: Top Growth Hacks Used by Founders

author: adityasbhatia


value: jumagrande

value:
I have created a tool that will allow users to obtain designs and ideas for planning a wedding.
The goal is to save time for those in charge of organizing the event by allowing them to create images with AI based on parameters that the user can define.
The tool currently has different features:
- Wedding dress designer: A bride can define what type of dress she likes best, the design of the sleeves or train she wants, and her body type. In a matter of seconds, she will have some ideas.
- Banquet designer
- Ceremony designer
- Wedding invitation card designer
It also has an image editor that allows you to upload your photo and request changes.
Who benefits from this tool?
- Couples: They save time and allow you to see the expected result without surprises.
- Wedding planners: They look for alternatives according to the client's criteria.
- Venue owners: They can decorate professionally, saving a lot of money and gaining unlimited inspiration.
- Content creators: They can create endless content on social media thanks to the combination of images and designs.
If you like the idea, I invite you to try it with a 30% discount using the code WELCOME30.
I look forward to your feedback, thank you very much in advance.
Best regards!

value: Show HN: I made a AI-powered wedding idea and design generator

author: jumagrande


value: levmiseri

value: A small experiment — trying to see what happens if humans write in a similar way to LLMs. Gather context, suggest a continuation, vote for the 'best' one.

value: Show HN: Democratic Writing

author: levmiseri

title: Show HN: Democratic Writing


value:
Hi HN,
We’ve been working on IssuePay, a platform where developers get rewarded for contributing to GitHub/GitLab issues, and recently, we've launched a new feature Job Offers.
The idea is simple: instead of only hiring only through CVs or LinkedIn, companies can discover and hire developers based on their actual open-source contributions. On IssuePay, organizations can do just that, it's essentially an ATS, but with extra perks designed for developers and companies.
- Post job opportunities directly to developers.
- View candidates’ open-source resume (generated by us based on their Github).
- Hire with less friction, since you already know how they code, collaborate, and communicate.
- Manage applications in a Kanban-style board.
- Send emails to candidates directly from the platform.
- Schedule interviews/meetings either in-app or via Google Meet.
For developers, this means your contributions can now lead not just to rewards, but also to career opportunities.
This is still an early version, and I’d love your feedback:
- Does this approach solve a real hiring problem for companies?
- What would make the “open-source resume” more valuable or trustworthy to hiring a developer?
- Are there features you’d expect in the hiring flow that we’re missing?
Thanks for checking it out—excited to hear your thoughts!

value: Show HN: IssuePay Job Offers – Hire developers through their open-source work


value: martintrif

value: With this tool, you can create looping liquid gradient animations and export them to mp4 / png sequence. Great for product videos and other visuals.

value: Show HN: Liquid Lissajous – Create looping liquid gradient animations

author: martintrif


value: tuned

value: Domain-specific fine-tunable vector search leveraging signals energy

value: Show HN: Spectral Indexing for Vector Search

author: tuned


value: Show HN: Chrome Bookmark MCP

title: Show HN: Chrome Bookmark MCP


value: morozred

value:
Hi HN!
My name is Grigory, I'm a backend developer from 9 to 5, but I'm also hacking stuff on the side, though I never reached the point of actually releasing anything. But now it's over and I decided to share the product I recently built.
Every time I walked through an interesting neighborhood, I'd stop every few blocks to Google buildings, statues, or street names. Felt like I was missing the flow of exploration. It also takes time to find facts that are actually interesting and not just dates or numbers. E.g. I'm not always keen to know when this was built, but rather if it has some story to it or if some movie was shot here.
So I built Waytale – an AI audio guide that automatically plays contextual stories as you walk past landmarks. No interaction needed. You can also trigger them manually if needed.
The core technical challenge: finding a way to get stories that aren't hallucinated by AI. Turns out it's not that easy.
Using Rails + Sidekiq + SwiftUI stack. AI generates different narrations for the same location based on selected "personality" (for kids, local friend, storyteller).
I went with Hetzner for hosting, was quite a nice switch from the usual AWS stack, got me back to the good ol' times.
Key learnings I want to share:
1. Marketing is really hard, getting things out there is just a 10% of a success
2. Communicate more and be nice, even if you're anxious about it, don't be shy, getting out of this shell helps a lot.
3. Try new things, while building it I learned so much that it's already feels like a success. We tend to lock in on our stacks at work, we deploy to same servers over and over and we forget how cool it is when you can control everything and dashboard does not look like a spaceship control panel.
And finally, free tier gives you 3 POI per city, then city unlock model ($3-10 per city).
I have quite a lot of ideas on how to improve it, but for now would appreciate any feedback you have. Please don't hesitate to let me know which city you want to see there.
Try it: https://waytale.app

value: Show HN: I got tired of Googling every landmark, so I built an AI audio guide

author: morozred


value: ludovicianul

value:
I’ve been working on a side project called Dochia for a couple of years now (initially released under different naming, but having a fresh start now). It’s an open-source CLI tool that automates negative and boundary testing for APIs.
Background for why I built it is simple. In microservices-heavy systems, API testing is repetitive. Every service exposes endpoints, and a big chunk of the testing is the same: invalid payloads, boundary values, how does it handle null, spaces, etc. I found myself redoing these checks over and over, which felt like wasted time. Dochia takes care of this “shared layer” of testing automatically, freeing up time for the scenarios that are unique to each service.
What it does:
- Reads your OpenAPI spec
- Generates hundreds of smart, edge-case payloads
- Runs them against your API
- Outputs an HTML report with the results
So far I've been using it for every service I've built and have it as a quality gate to deal with the negative and boundary scenarios from the beginning. I've seen teams going through pretty embarrassing situations where they spend months building something cool, only to get bugs like: user added a trailing space to their name and the flow if failing.
Repo is here: https://github.com/dochia-dev/dochia-cli
And the website: https://dochia.dev
I’d really appreciate feedback, bug reports, ideas about why this could or could not work in your setup.

value: Show HN: Dochia – CLI tool for automatic negative and boundary API testing

author: ludovicianul


value: FlorinDobinciuc

value:
I built a tool that converts LinkedIn profiles into professional personal websites in under a minute. Just paste your LinkedIn URL, wait ~60 seconds, and get a polished website ready to share.
Try it live: https://www.craftwebbb.com
The Problem:
Most professionals need a personal website but either lack the time/skills to build one or end up with generic templates that don't reflect their career path. Existing solutions are either too technical or produce bland, one-size-fits-all results.
How It Works:
1. Paste LinkedIn URL - That's literally it for input
2. Multi-tier scraping - 3-layer fallback system ensures we can extract your profile data (Apify → Smart URL extraction)
3. AI enhancement - GPT-4 doesn't just copy your LinkedIn - it generates professional summaries, compelling taglines, and career narratives
4. Smart template matching - AI suggests templates based on your profession (Professional, Designer, Engineer, Entrepreneur)
5. Instant generation - Complete website ready in ~60 seconds
Technical Highlights:
- 99% success rate through intelligent fallbacks - works even without premium APIs
- Real-time progress tracking with fun facts during processing
- Multi-layer caching (memory + server + database) for performance
- Image proxy system handles LinkedIn CORS issues seamlessly
- Rate limiting and proper error handling for production use
Built with Next.js 15, React 19, OpenAI GPT-4, Supabase, and TypeScript. The scraping strategy is particularly robust - if the primary Apify scraper fails, it falls back to SaleLeads API, and finally to smart URL extraction that works 100% of the time.
What Makes It Different:
Unlike other profile-to-website tools, this actually improves your content through AI. It's not just scraping and reformatting - it's analyzing your career path and generating professional copy that sounds natural and compelling.
The job-function specific templates mean a designer gets a visually stunning portfolio layout while an engineer gets a clean, technical presentation.
Current Status:
MVP fully deployed and working
 Professional template live (more coming soon)
 Complete user flow from LinkedIn URL to finished website
 Adding Designer and Engineer templates
It's free to try - no signup required for basic generation.
I'd love feedback on:
- Template quality and variety (which job functions should I prioritize?)
- AI-generated content quality - does it capture your professional voice?
- Overall user flow - any friction points?
- Feature requests for the editing interface
The goal is to solve the "I need a personal website but don't have time" problem that every professional faces. Would love to hear your thoughts!
Thank you!

value: Show HN: Turn Your LinkedIn into a Professional Website in 60 Seconds

author: FlorinDobinciuc


value: SarthakGaud

value:
Last December I wanted to see if I could keep a journal online without creating accounts or relying on any platform to keep it safe. The idea was simple, store everything in public, but keep it private at the same time. To do that, I built a small system where the actual entry is encrypted locally by me, the encrypted text is what gets stored publicly, and the only way to read it is by typing the right key in the browser which is not available in the code either. If you don’t have the key, it’s just noise.
The link I’m sharing is my own experiment. I journaled for 200 days counting down to my 21st birthday. On the page you’ll see the song titles and dates I picked for each day, which are public by design, but the real content of each entry is hidden unless the right key is used. This means you can follow the shape of the journal without ever knowing the private text of it.
There are some interesting outcomes that came out of this. Because the key is never stored anywhere, I can open the journal on any computer, even a public library one, and still unlock it. The moment I type, the text changes in real time, and the entry only becomes readable if I finish the correct key. If I forget the key, the data is gone for everyone, including me, which is part of the design. It’s a convenient mix of accessibility and privacy, the data is visible to the entire internet, but only I can read it. I also don’t have to hassle with logins or accounts.
This isn’t a new cryptographic invention. The encryption method could be anything, even something as trivial as reversing the text. What matters is the pattern: encrypt locally, store publicly, and decrypt only with a key that lives in your head. This is just one way to show that private information can exist on the public internet without logins, verification, or accounts.
The journal is on my portfolio: https://sgaud.com/the-other-side/200-days-till-21
Open any blog and try putting keys in the bottom-right key section.
I’d be curious to hear what people think of this approach, and where it might be useful outside of journaling.

value: Show HN: Storing private blogs on public internet with 0 verifications

author: SarthakGaud


value: hervekom

value:
Hi! My name is Herve Kom, a computer science student that is interested in learning new things everyday!
As one of my graduation project, I have developed a Claude Code -like Coding CLI, but with enhancement for API Testing:
- Auto-generate & run tests (unit, e2e, Playwright, CI/CD, etc.)
- Say bye-bye to hallucinations with built-in MCP Server to let LLM directly read from API Docs
- Adding Agent.md support for better context persistence across your whole codebase
- Automatic bug & security scans (logic is kind of basic but works great!)
- Vibes, I want it to feel less "enterprise" but more fun!
You can check the demo video in my github repo. Try it out!

value: Show HN: I Built Open Source Claude Code Alternative, but Better at API Testing

author: hervekom


value: vitonsky

value: Show HN: Pedantify – Simple CLI for proofreading text files via LLM

author: vitonsky


value: namegator

value:
This is probably the most stressful story I'll ever share on here. Last year my main income source (an affiliate site I'd been growing for 3 years) just... disappeared from Google. Like, literally went from page 1 for my main keywords to nowhere.
I was freaking out. Spent two weeks checking everything - server logs, analytics, search console. Nothing obvious. The traffic drop graphs looked like a cliff. 80% gone in 48 hours.
The worst part? I had no clue if it was a penalty or just an algorithm update. Google's documentation is... let's say "not super helpful" when you're panicking at 2 AM wondering if your business just died.
I remember calling my developer friend Mike (poor guy, I probably woke him up) asking "how do I even know if Google hates my site now?" He was like "dude, there's gotta be tools for this."
Turns out there were some tools, but they were either crazy expensive (like $300/month expensive) or gave me reports I couldn't understand. I needed something that would just tell me "yes, you're penalized" or "no, this is probably an algorithm thing."
So I started digging into Google's penalty patterns. Learned way more about manual actions, algorithmic penalties, and ranking fluctuations than I ever wanted to know. Took me about 3 months of research and another 2 months of coding to build what became ContentAnalyzerPro.
The ironic part? My original site actually wasn't penalized - it was just hit by a core update. But by then I'd already built this penalty checker that actually worked better than the expensive tools I'd tried.
Now it helps other people avoid those 2 AM panic sessions I went through. Still gives me anxiety thinking about that traffic drop though
Has anyone else been through a sudden ranking drop like this? How did you figure out what happened? I swear Google keeps us all guessing sometimes.

value: Show HN: Google Penalty Checker

author: namegator

title: Show HN: Google Penalty Checker


value: hunterbown

value: Show HN: Shannon Control Unit – Adaptive PI Control for LLM Training

author: hunterbown


value: shardullavekar

value: Show HN: JobsApply – AI that finds you jobs while you sleep

author: shardullavekar


value: sotoplatero

value:
When I tried to set up my first lead magnet funnel, I hit a wall.
What was supposed to be a simple "give away a free guide in exchange for emails”"turned into a mess of picking an email provider, wiring forms, building automations, and making sure everything was GDPR-compliant.
I realized this is the same pain many creators face: too much setup just to share a freebie.
So I built freebie.email...the domain is cool, eh
How it works:
- Upload your freebie (PDF, checklist, template, etc.)
- Get a unique link to share anywhere (bio, website, social)
- Collect emails automatically
- Subscribers receive the file instantly—no integrations, no configs
That’s it. Minimal, distraction-free, and built for creators who just want to ship.
I’d love your feedback—the good, the bad, or the weird. What’s missing? What confused you? What features would make it indispensable?

value: Show HN: I made a simple lead magnet delivery without techsetup

author: sotoplatero


value: gokulsiva

value:
I spent 4 weeks building file infrastructure for my AI app instead of AI features. Every AI developer I know has done the same -
  building S3 + database + versioning just to let agents save files.
So I built OpenFiles - a drop-in SDK that gives AI agents persistent file storage.
Your agents can now:
 - Save/edit files across conversations
 - Share files between multiple agents
 - Track versions automatically
Try it: https://console.openfiles.ai (sign in with GitHub)
Example:
```python
from openfiles_ai import OpenAI
client = OpenAI(api_key="...",openfiles_api_key="...")
# Your ChatGPT can now persist files between sessions
TypeScript/Python SDKs available. Early users get 5GB free.

value: Show HN: OpenFiles – Persistent cloud files for AI agents

author: gokulsiva


value: lovegrenoble

value: [Free and functional demo version] This is a collaborative project, and I'm working with professional voice actors. I handle the software side of things and they’re the ones who are writing and performing all the dialogues.

value: Show HN: NPC Chronicles – Give your NPCs voices by pro voice actors

author: lovegrenoble


value: renedloh

value:
I built KnowViz: type any concept → get a structured explanation + a teaching‑style infographic in minutes.
Why: I'm a grad student. While experimenting with Google’s Nano Banana, I found it might help learning—not just flashy demos.
What’s different
- Teaching-first output: the goal isn’t just “pretty images” — it’s “learnable visuals.” The structure is designed to be teachable and scannable.
- Nano Banana for learning: popular and cool, yes — but here it’s explored for pedagogy. Early results are promising; I’d love your feedback.
How it works
- First text, then visuals: first generate a structured explanation (definition, key points, short example, related concepts), and then produce a clear, education-oriented visual.
- Models: I route text to GPT‑5 and visuals through Nano Banana.
- Stack: Deployed on Vercel with Next.js (my first time — genuinely smooth).
Would love blunt feedback:
- Does this actually help you learn/remember?
- Which export formats matter (Image / PDF / Video)?
- Which subjects should I prioritize?
Link: https://knowviz.app/en

value: Show HN: KnowViz – Turn any concept into visuals (exploring "Nano Banana")

author: renedloh


value: axisai

value:
We’re building Veritas, an AI model designed to uncover bias in written content — from academic papers and policies to workplace communications. The goal is to make hidden assumptions and barriers visible, so decisions can be made with more clarity and fairness.
We just launched on Kickstarter to fund the next phase as we move into BETA testing:
 https://www.kickstarter.com/projects/axis-veritas/veritas-th...
Would love the HN community’s perspective: Do you see a need for this kind of model? Where do you think it could be most useful, and what pitfalls should we be careful to avoid?

value: Show HN: Veritas – Detecting Hidden Bias in Everyday Writing

author: axisai


value: AllaTurca

value: Show HN: The AI Alternative to Bloomberg Which Banks and Firms Are Using

author: AllaTurca


value: neebelthan

value: I built this because I kept finding myself opening spreadsheets just to sanity check dilution and exit outcomes. Now it’s interactive, visual, and saves me hours. Hoping it helps other founders avoid surprises down the line.

value: Show HN: Visualizing startup exits – the tool I wish I had as a founder

author: neebelthan


value: asouei

value:
I released safe-fetch 1.0, a tiny (~3kb, zero deps) wrapper around Fetch:
No try/catch: always returns { ok, data | error }
Normalized errors (NetworkError, TimeoutError, HttpError, ValidationError)
Dual timeouts (per attempt + total)
Smart retries with exponential backoff + Retry-After
New: React Query adapter (0.1 experimental) to remove unwrap boilerplate
GitHub: https://github.com/asouei/safe-fetch
NPM: https://www.npmjs.com/package/@asouei/safe-fetch

value: Show HN: Safe-fetch 1.0 – type-safe fetch wrapper (no try/catch, RQ adapter)

author: asouei


value: tinymagician

value:
DNA models have been chalked up to be pretty useless but I think that's not true. I sketch out reasons why I think they are useful. Feedback and comments welcome. High-level takeaways:<p>1) a Prime Intellect like RL environment for biology can unlock a lot of value for DNA models, but first needs to be built
2) like most deep learning models, data is king. Curating high quality low sample size task specific data to fine tune a general dna model is the clearest path to realizing value here
3) Specific applications I find interesting are CAR T promoter design, AAV gene therapy regulatory element design, reassigning variants of uncertain significance, bridging the variant to function gap, and biosecurity (details for each one in the post)
4) This is an early technology and the potential exists for two main reasons: a) we have a lot more DNA sequencing data than protein data, b) DNA contains more information than proteins. So if protein models like AlphaFold and ESM can unlock new medicines and discoveries in biology, the possibility for DNA models are orders of magnitude higher

value: Show HN: Applications of DNA Foundation Models

author: tinymagician


value: simeg

value: Show HN: Git extensions that feel like they belonged in Git from the start

author: simeg


value: supergoat

value: Show HN: File-based ticket management with Git-like commands

author: supergoat


value: MattRix

value:
Hey HN, this is our weird little soccer + chess daily puzzle game. The puzzle generation (and the rest of the backend) is written in C#/Razor, and the frontend is a mix of Pixi.js and regular web stuff.
The game has kind of a strange structure, where each puzzle represents a match that took place in an imaginary soccer league... so you're not determining the outcome of the soccer match, but you are recreating what happened.
Note: If you solve each goal perfectly (using the minimum number of kicks), then it unlocks a harder bonus goal. You can also go back and play past puzzles from earlier in the season if you want to try some more puzzles.

value: Show HN: Kickoff League – a daily soccer puzzle game

author: MattRix


value: feedbackcolle

value: Show HN: I want to create a TradingView alternative, can you try it?

author: feedbackcolle


value: aliatwa

value: Get logs from ur sentry, cloudwatch, coolify services, .. inside vscode panel

value: Show HN: BenchWrk – Get Logs in VSCode

author: aliatwa

title: Show HN: BenchWrk – Get Logs in VSCode


value: zachdive

value:
Hey HN! I'm Zach from Adam (https://adam.new/). We’re building an AI co-pilot for mechanical CAD software.
As part of our broader research, we built a browser-based Text-to-CAD app (https://news.ycombinator.com/item?id=44182206) and are now open sourcing it. This is a React SPA with a Supabase backend.
What it does:
* Generates parametric 3D models from natural language descriptions, with support for both text prompts and image references
* Outputs OpenSCAD code with automatically extracted parameters that surface as interactive sliders for instant dimension tweaking
* Exports as .STL or .SCAD
Under the hood:
* Separate agents for conversation and code generation; simple parameter tweaks bypass AI entirely using deterministic regex-based updates
* Runs fully in-browser by compiling OpenSCAD to WebAssembly and integrating Three.js with React Three Fiber for 3D rendering
* Supports BOSL, BOSL2, MCAD libraries and custom font support (Geist) for text in models
We’ve seen many developers trying to replicate this kind of functionality, so we’re releasing this to give the community a solid foundation to build on.
Future improvements:
* Expand geometry support - Move beyond CSG primitives to support curved surfaces, fillets, lofts, and constraint-driven modeling through CadQuery/Build123D
* Better spatial context - UI for face/edge selection and viewport image integration to give LLMs spatial understanding
* Enhanced capabilities - RAG on documentation and integration with more OpenSCAD libraries for features like proper threading
You can clone the repo and run it locally! Contributions are welcome, and we’ll keep merging PRs as they come in.

value: Show HN: Open-sourcing our text-to-CAD app

author: zachdive


value: bubblethrow

value: Show HN: Adference – OpenRouter-style proxy that cuts LLM costs with ads

author: bubblethrow


value: bipsandbytes

value:
Hello HN,
I have a confession: I’m addicted to X/Twitter. But I'm terrified that my brain is being force-fed digital sugar: a cocktail of controversy, clickbait, and cat videos. We ask what’s in our food. Why don’t we ever ask what's in our feed?
The deleterious effects of social media are quite well documented: more screen time = more depression[1]. But it's even more insidious. We no longer program the timeline; it programs us. I often feel anxious after scrolling through my feed because it is incentivized to feed me controversy. The usual advice is to quit the app and go cold turkey. But that doesn't work the same reason fad diets don't work. You can’t quit sugar. You can’t quit Twitter.
So I drew inspiration from the efficacy of nutrition labels on packaged foods[2][3][4][5][6] to add a 'digital nutrition label' to every tweet in my feed, analyzing its Education, Entertainment, and Emotion content. What started off as a quick and dirty bookmarklet turned into a full fledged (completely free and open-source) Chrome extension that I call 'Resist'[7].
For example, take these 3 posts, all news, and yet different: @OpenAIDevs comes across as just educational, @paulg's perhaps evokes anxiety, and @SamAntar's leans controversial. Resist understands the content, not just the app. For the first time, you see what you're truly consuming.
https://imgur.com/QFXwNd4
https://imgur.com/lXrtuNb
https://imgur.com/KFRiIed
With Resist, you can also set an attention budget — a digital diet for your mind. It tracks, it tallies, and when you go over, it autohides the junk. Willpower not required.
https://imgur.com/Ciu1KN6
That's the long bet: disengaging from the junk, starving them of clicks, and breaking the loop. Without the oxygen of engagement, I'm hoping the timeline adapts to what _we_ choose. Just like food labels reshaped supply chains[8], attention labels could reshape our feeds.
Resist is a proof of concept and has some serious drawbacks: it’s web-only, the categories are just a first draft, it currently works only on Twitter (but can be extended), and the classification models are sometimes way off. But it presents what could be: a world where you are in control of where your attention is directed.
Full blog post: https://bipinsuresh.info/blog/resist.html
Video demo: https://youtu.be/UmWCdgHQ_8o
Download: https://chromewebstore.google.com/detail/resist/paeflkahgaod...
Twitter thread (for irony): https://x.com/bipsandbytes/status/1963385093080404043
Code (MIT license): https://github.com/bipsandbytes/resist
[1] https://jonathanhaidt.com/social-media/
[2] https://pmc.ncbi.nlm.nih.gov/articles/PMC6340779/
[3] https://pubmed.ncbi.nlm.nih.gov/32493057/
[4] https://ijbnpa.biomedcentral.com/articles/10.1186/s12966-019...
[5] https://www.cdc.gov/pcd/issues/2014/13_0161.htm
[6] https://journals.plos.org/plosmedicine/article?id=10.1371/jo...
[7] https://chromewebstore.google.com/detail/resist/paeflkahgaod...
[8] https://www.thelancet.com/journals/lanplh/article/PIIS2542-5...

value: Show HN: Resist – Nutrition Labels for Digital Content

author: bipsandbytes


value: randomor

value:
I was trying to read Daringfireball on my Daylight tablet, but because it's dark only and fonts are small it's a struggle (as Daylight tablets screens are best for light UIs), so I decided to vibecode this. And I'm quite happy with the results.
For those who are looking for a rss reader but not looking to install an app, you can just append my site, e.g.:
https://feedable.doublememory.com/https://news.ycombinator.c...
It will auto-discover the rss feed and load it in a web based RSS reader. It also supports read status tracking, keyboard navigation, font / size customization, and saving feeds. Everything happens on client, except discovering and proxying the RSS feed, which sometimes are CORS protected.
For a quick demo: https://www.youtube.com/watch?v=ltFP-t9Jruc

value: Show HN: Feedable – Make any site with RSS readable without installing an app

author: randomor


value: NabilNYMansour

value:
JSONeer is a simple platform for creating and fetching JSONs effortlessly.
Can be used for config sharing, content management, and API mocking.
I needed it for some other projects I'm working on, and maybe others could find it useful too.
lmk what you think about it

value: Show HN: JSONeer, a Platform for Creating and Fetching JSONs Effortlessly

author: NabilNYMansour


value:
Hi all! I built a form tool around two ideas:
1) Plain text building: Say what you want, it generates and updates the form for you
2) Chat to respond: Respondents answer naturally by chatting with a helpful and flexible agent
Try it at https://www.conveyform.com
Demo (no login required):
- Contact form: https://www.conveyform.com/forms/9/respond
- SWE job application: https://www.conveyform.com/forms/8/respond
The builder side is free to start but requires a login.
What’s different
- For builders: faster creation and iteration than drag/drop editors ("I want a SWE job application form", "require a github URL")
- For respondents:

  – Can ask clarifying questions ("what do you mean by X?", "where do I find Y?")

  – Can reply naturally ("I work as a SWE" → "Software Engineer", flexible dates/times, etc.)

  - Can answer questions out of order, grouped together where it makes sense, etc.

Privacy
- Uses the Claude Sonnet API; no training on user data.
Rough edges
- CSV export only; no integrations yet.
- No conditional logic yet
I'm looking for feedback - is it useful? is it an improvement on existing form builders? what functionality is missing? additional rough edges, etc.
Thank you for taking a look!

value: Show HN: Convey – build forms and collect responses in plain English


value: msbelaid

value:
I've been working on PlugBrain, an open-source Android app that helps reduce screen time by blocking distracting apps. Instead of simply locking you out, PlugBrain makes you solve math puzzles to regain access.
PlugBrain uses math challenges as a barrier. The difficulty increases as you use distracting apps more often, and decreases if you stay away.
The app is GPL3-licensed and available on GitHub. Still early, so I'd love feedback on the code, usability, and whether the idea feels useful or annoying in practice.

value: Show HN: PlugBrain block distracting apps with math challenges

author: msbelaid


value: Amyang

value:
Built a web editor that converts any pose photo into semantic animation code using computer vision. Demo: https://popo.love/playground, https://mmd-mpl.vercel.app/
How it works:
Upload pose photo → MediaPipe extracts landmarks My solver generates readable MPL code like leg_l bend forward 120; arm_r bend forward 45; Edit the code, export to animation formats
Tech stack: Rust compiler (WASM), MediaPipe, Babylon.js 3D preview. Runs entirely in browser.
The language (MPL) bridges human-readable syntax with quaternion math. I've used it to fine-tune LLMs for text-to-animation generation.
Use cases: Game dev prototyping, VTuber expressions, animation learning, AI motion research.
GitHub: https://github.com/AmyangXYZ/MMD-MPL

value: Show HN: Turn pose photos into editable animation code

author: Amyang


value: netcoyote

value:
Hi HN! I built and open-sourced (Apache 2.0) ClodPod to run Claude Code in a macOS virtual machine with `--dangerously-skip-permissions` to avoid constant permission prompts without risking my entire computer to rogue AI agents.
ClodPod maps any number of your project directories into the virtual machine so Claude Code can work on your code while remaining isolated from your host computer.
ClodPod virtual machines include Xcode and common development tools, and it's easy to extend to add your own development tools and configuration files.
# Raison d'être
This project exists because I was foolishly trying to find a way to insulate my computer from destruction by rogue AI agents when running Claude Code with `--dangerously-skip-permissions` (to avoid frequent "do you want to proceed?" dialogs), when perhaps I should have simply learned to accept their infrequent rages.
I experimented with running Claude Code inside docker and podman containers (i.e. in Linux), but as my ultimate goal is to build apps using Xcode, I wanted to stick with OSX.
I considered using xtool (open source Xcode-on-Linux), but instead went down a different rabbit hole and tried providing the containers with limited access from the guest OS to my host computer using GNU Rush (Remote User SHell). This "worked" but was limiting.
I tried limiting Claude Code's filesystem access using exec-sandbox, and it works in a "proof-of-concept" sort of way, but the attack surface area was too large.
Eventually I settled on running the whole thing inside a virtual machine, which is probably where I should have started.
# Key features
- Builds a virtual machine and launches Claude Code with access to your projects
- Enables mapping multiple projects in the same virtual machine simultaneously
- Open multiple Claude Code sessions and shell prompts, or use the GUI
- Headless mode for CI/CD workflows with `--no-graphics`
- Includes Xcode and common development tools; you can add your own tools too
- Fast rebuild and relaunch using a two-layer caching system
- Open source: Apache 2.0 License

value: Show HN: ClodPod – Run Claude Code safely in a macOS VM

author: netcoyote


value: davidswb

value:
And yes, I know, literally no AI uses llms.txt right now.
But hear me out: if you want it just in case, or if you would like to add your sites to some llms.txt directories, you can use this endpoint.
That way, you do not need to keep updating your own llms.txt, especially as I improve the API.
Here is how it works:
Enter any domain:
https://get.llms.page/{example.com}/llms.txt
The API will parse your homepage (if allowed in robots). Using internal links, descriptions, and other metadata, it will generate an Markdown llms.txt file.
It does not rely on AI, because I want it to be fast and free. The API is open, free, runs on a CDN, and is powered by Cloudflare Workers for speed.
I plan to open source the no-AI llms.txt generator later, since there is still a lot to improve.
If you want to try it out or see some usage examples, visit:
https://llms.page
Let me know what you think!

value: Show HN: I built a public and open llms.txt endpoint for every domain

author: davidswb


value: dsego

value: Show HN: Stroboscopic Instrument Tuner

author: dsego

title: Show HN: Stroboscopic Instrument Tuner


value:
I’m the parent of a 15-year-old who was diagnosed with type 1 diabetes in June. To help manage his glucose levels more easily, I designed a small gadget—compact enough to keep both on his desk and nightstand—and I’ve just released the entire project as open source.
The best part: it only needs a $9 development board to build, making it simple and affordable for anyone interested in trying it out.
I’ve also shared the code and an STL file for 3D printing the enclosure, so it should be easy to replicate or adapt.
It’s still an early project, but I’d love to hear your feedback, ideas, or even just whether you think something like this could be useful.
Thanks for taking the time to look—I hope this little gadget can make even a small difference in someone’s daily routine.

value: Show HN: Desk-and-Bedside Glucose Monitor


value: ghsiku

value:
A couple of us started building an open-source tool after an on-call shift where a simple container restart turned into more hassle than it should. What should have been a 10-second task meant opening a laptop, connecting to a server, and running commands in the middle of the night.
OpsiMate is our attempt to simplify that. It provides a single place to manage Docker containers, Kubernetes pods, and systemd services. We’re also working on integrations with monitoring tools so you can act on alerts and jump directly to dashboards.
It’s still early and a bit rough, but already running in use. We’d really appreciate feedback, ideas, and contributions from the community.

value: Show HN: OpsiMate – From on-call chaos to a single control panel

author: ghsiku


value: alexander-g

value:
Some PDF forms have no fillable fields. When opened in Adobe Reader, there are no fields to type into. This AI converter automatically adds fillable fields to the PDF, technically turning it into a form.
Adding fields manually is a tedious process that nobody enjoys. This is the kind of work that should be automated.
This AI PDF converter is free and capable of processing even long documents with dozens or hundreds of pages. For larger PDFs, it may take more time.
It works best on PDFs created from Word documents. Please set the right expectations and be prepared to manually adjust any fields the AI might miss or place incorrectly. This can happen, especially with complex layouts.

value: Show HN: I built a free AI tool that makes a pdf fillable

author: alexander-g


value: lludo

value:
Hey HN! I'm an engineer who's always been interested in watches/clocks, so I recently started building in public. I'm creating desk clocks inspired by traditional aesthetics but with modern precision tech.
Currently prototyping two models:
- Type 1 — Tri-Date: Features a geometric triangular date layout with big date on a
  "squircle" dial (perpetual calendar).
- Type 2 — Planétarium: Has a suspended Earth model that rotates every 24 hours on a real 23.5° tilt, showing which hemisphere is in daylight and how this changes through seasons.
Technical stack summary:
- ESP32-S2 with ESP-IDF (not Arduino)
- High precision stepper motors
- TMC2208 controllers for silent operation
- DS3231 RTC with WiFi sync
- Hall sensors for precise positioning
- Custom PCB design
Everything is hand-assembled in my garage workshop - from wooden cases to precision gear trains. Full vertical integration from concept to assembly (one-person operation).
Currently in prototyping phase, planning Kickstarter once technical challenges are solved. Following the journey: @atelier_ludo
Would love HN feedback!

value: Show HN: Desk clock with rotating Earth showing real-time day/night cycles

author: lludo


value: torianyk

value:
Hi HN, I am Valerii, solo founder of PlanEat AI.
Long days running my startup studio meant dinner was a daily decision loop. I tried popular apps, but none planned a whole week around time limits, allergies, and tastes, then produced one clean list for the store. So I built PlanEat AI.
What it does
• Personalizes a weekly menu to diet, allergies, dislikes, meals per day, and cooking time
• Generates one consolidated shopping list with grouped categories and deduped quantities
• Lets you swap any dish and instantly recalculates the plan, recipes, and list
• Focuses on simple healthy eating, no calorie tracking
Tech
Flutter and Dart, Supabase Postgres and Edge Functions, a small LLM layer for recipe ranking, StoreKit for subscriptions.
Looking for feedback on
Onboarding flow and preference capture
Menu quality for different diets and time budgets
Shopping list grouping and naming
Integrations you would want next
Happy to answer questions and share more details.

value: Show HN: PlanEat AI, weekly meal planner with smart shopping lists

author: torianyk


value:
Hi HN  I’m Tina.
One frustration I keep running into with LLMs is hallucinations: answers that sound confident but are fabricated. Fake citations, wrong numbers, even entire “system reports.”
So I’ve been building CompareGPT, which tries to make AI outputs more trustworthy by:
Putting multiple LLMs side by side for the same query
Making it easy to see consistency (or lack of it)
Helping catch hallucinations before they waste time or cause harm
link here：https://comparegpt.io/home. We’ve opened a waitlist and would love feedback, especially from folks working with LLMs in research, finance, or law.
Thanks!

value: Show HN: CompareGPT – Spotting Hallucinations by Comparing Multiple LLMs


value:
I built Claudio to solve a simple problem: typing is slow when you have
  complex thoughts to share with Claude. This Chrome extension adds a
  microphone button to Claude.ai that uses OpenAI Whisper for transcription.

  Key features:
  - One-click voice recording with intelligent progress tracking
  - Audio file upload support (perfect for mobile voice notes → desktop Claude workflow)
  - Speed control (1-2x compression) to reduce API costs
  - Private and secure - your OpenAI API key stays local
  - Real-time transcription stats and performance analytics

  Latest v1.2.1 fixes:
  - Improved audio duration detection using Web Audio API
  - Fixed NaN calculations in transcription time estimates
  - Better error handling for edge cases

  The extension integrates seamlessly into Claude's interface - just click
  the mic button, speak naturally, and your voice becomes text. Especially
  useful for content creators, researchers, and anyone who thinks faster
  than they type.

  Use cases I've found most valuable:
  - Recording ideas during walks/commutes, then uploading the audio files to
   Claude desktop
  - Dictating complex code explanations and documentation
  - Converting meeting recordings into structured notes
  - Hands-free email composition

  Installation takes under 2 minutes via Chrome's developer mode. The
  extension is free and open-source.

  Download: http://earthpilot.ai/claudio/

  What voice-to-text workflows have you found most useful in your daily
  work?

  ---
  Independent project, not affiliated with Anthropic or OpenAI. Uses your
  own OpenAI API key.

If you'd like an invite to our weekly AI Playground as my VIP visit http://earthpilot.ai/play

value: Show HN: Claudio – Audio Input for Claude.ai


value: wangmao

value: Welcome to Hello Wordl, an engaging word-guessing game that challenges your vocabulary and deduction skills! In this fun and interactive game, players must guess a secret five-letter word within a limited number of attempts. With each guess, you’ll receive instant feedback: letters that are in the correct position will be highlighted in green, letters that are in the word but in the wrong position will be marked in orange, and letters that aren’t in the word at all will be shown in red. Perfect for word enthusiasts and casual gamers alike, Hello Wordl offers a fresh twist on the classic word puzzle experience. Join us now and test your word-guessing abilities!

value: Show HN: Hello wordl-A fun gaming website

author: wangmao


value: yayahong

value: At Globe Ask, you can ask questions, share insights, and receive expert answers from users worldwide. Whether it’s life hacks, tech queries, or academic doubts, our community provides accurate information and practical advice. Join us to explore an endless ocean of knowledge!

value: Show HN: Globe Ask-Global Knowledge Q&A Website

author: yayahong


value: hikerell

value:
No more copy-pasting! Extract any website content in one click, let AI organize it for you, and export to Excel or CSV.
Perfect for study, work, and research — making data collection effortless.

value: Show HN: A Chrome extension to export structured data from any website using AI

author: hikerell


value: Built a simple meme generator using JavaScript and the meme-api.com API. Click a button, get a random meme, and share it! Hosted on Vercel for instant access, no setup needed. Perfect for a quick laugh or to spark some joy. Open to feedback and ideas for tweaks!

value: Show HN: Random Meme Generator – A Fun, Lightweight Web App


value: bietroi

value:
Hi HN,
I thought this would be a good place to share a little puzzle I've been working on. Inception is a Rust library that helps you share behaviors in Rust using structural induction. Practically, this means that instead of having a derive macro for each behavior, a single derive can be used to enable any number of behaviors. It doesn't do this using runtime reflection, but rather type-level programming - so there is monomorphization across the substructures, and (at least in theory) no greater overhead than with macro expansion.
While there are a lot of things missing still and the current implementation is very suboptimal, I'd say it proves the general concept for common structures. Examples of Clone/Eq/Hash/etc replicas implemented in this way are provided.
The code is not idiomatic, which is my biggest reservation about continuing this work. It was fun to prove, but is not so fun to _improve_, as it feels a bit like swimming upstream. In any case I hope some of you find it interesting!

value: Show HN: Inception: Automatic Rust Trait Implementation by Induction

author: bietroi


value: coolwulf

value: Show HN: I developed a free mobile web app to scan chess board and give analysis

author: coolwulf


value: Meet Seedream 4.0, a revolutionary AI that surpasses Nano Banana in versatility and precision. Seamlessly combining text-to-image, editing, and group generation capabilities, it delivers superior results through advanced natural language control, setting a new standard in AI image generation.

value: Show HN: Seedream 4.0: The Unrivaled King of Image Models Has Arrived


value:
I created a simple web based count down.
https://mycountdownto.com
Pick a date, time and Timezone - and make it look great with a background image from Unsplash…
Use it to count down to your birthday, favourite sporting event, the end of your current agile sprint, project deadline - and share with your team/family/public…

value: Show HN: Countdown Web App

title: Show HN: Countdown Web App


value: AbjMV

value: Show HN: Lattix 1.2.1 – Why launch apps one by one?

author: AbjMV


value: rkwap

value:
I needed to integrate BunnyCDN Storage with Rails Active Storage, but found no official adapter available.
So, I built one.
Bunny Storage (https://bunny.net/storage/) is a cheap and solid alternative to AWS S3, and this has been working flawlessly for me in production.
Would love feedback, and happy if this helps anyone else trying to use BunnyCDN with Rails.

value: Show HN: I Built a Rails Active Storage Adapter for BunnyCDN Storage

author: rkwap


value: Built an interface for image → 3D with PBR materials. Exports GLB; typical runs take ~1–2 minutes depending on complexity. It’s powered by Tencent’s open-source Hunyuan3D 2.1 models (https://hunyuan-3d.org).

value: Show HN: Hunyuan 3D – Image → 3D with PBR


value: maxaw

value: Hi everyone! Just sharing a quick app I made. You create and share prompt templates that others can edit, creating variations on the same image. Not for utility, just a bit of fun. Built with React, Supabase and gemini-2.5-flash-image-preview

value: Show HN: Simple app to share AI image prompt templates

author: maxaw


value: hervekom

value:
Hi! My name is Herve Kom, a computer science student that is interested in learning new things everyday!
As one of my graduation project, I have developed a Claude Code -like Coding CLI, but with enhancement for API Testing:<p>- Auto-generate & run tests (unit, e2e, Playwright, CI/CD, etc.)<p>- Say bye-bye to hallucinations with built-in MCP Server to let LLM directly read from API Docs<p>- Adding Agent.md support for better context persistence across your whole codebase<p>- Automatic bug & security scans (logic is kind of basic but works great!)<p>- Vibes, I want it to feel less "enterprise" but more fun!<p>You can check the demo video in my github repo. Try it out!

value: Show HN: I Built Open Source Claude Code Alternative, but Better at API Testing

author: hervekom


value: bodaay

value:
I just released v2.0 of HuggingFaceModelDownloader, a Go-based CLI for downloading models and datasets from the Hugging Face Hub.
Key features in this release:
Filters for selective downloads → fetch only what you need (e.g. specific GGUF quant variants like q4_0, q5_0), with optional auto-subdir layout.
Resumable by default → SHA-256 verified for LFS files, size checks for others, multipart range resume per part.
Terminal UX → live TUI with per-file progress, speeds, ETA; plain text fallback in constrained environments.
CI-friendly → structured --json progress events, concurrency limits, retries with backoff, dry-run planning.
No meta files → resuming is purely based on what’s on disk.
Compared to huggingface-cli/snapshot_download, this emphasizes resiliency, filtering, and machine-readable outputs for automation.
Example with filters:
hfdownloader download TheBloke/Mistral-7B-Instruct-v0.2-GGUF:q4_0,q5_0 \
  --append-filter-subdir -o ./Models -c 8 --max-active 3

value: Show HN: HuggingFaceModelDownloader v2.0–resumable, filterable HF Downloads

author: bodaay


value: gsoftwarelab

value: ScrapingDuck is a simple web scraping API that handles headless browsers and rotating proxies, so you can scrape any JavaScript-heavy website without getting blocked. Get started for FREE!

value: Show HN: ScrapingDuck a Web Scraping API

author: gsoftwarelab


value: Forgret

value:
I've built To_Shout, a lightweight output library for bare-metal environments that requires no standard library, no OS dependencies, and no headers. It's designed for kernel development, embedded systems, and anyone working close to the metal.
Key features:
· Type-aware output using C11 _Generic
· Supports integers, floats, strings, hex, and binary formats
· VGA text mode implementation included
· Color output support
· Less than 300 lines of code
· LGPL 3.0 licensed
GitHub: https://github.com/Ferki-git-creator/to_shout

value: Show HN: To_Shout – A Bare-Metal Output Library with Zero Dependencies

author: Forgret


value: wgbowley

value: Needed to collect data for school. So I made a flask application that does the analysis in real time

value: Show HN: Reaction Time Test for School

author: wgbowley

title: Show HN: Reaction Time Test for School


value: yunusabd

value:
This is for an app that I'm building.
I struggle with staying consistent when studying Chinese, so this helps me stay on track, using Youtube videos that match my interest.
The generation process can take a few minutes, since it goes through multiple steps to find suitable videos (query expansion -> retrieval -> filter -> analysis -> filter -> final challenge creation)

value: Show HN: Create micro challenges for language learning

author: yunusabd


value: A small research project I did in prepa (french preparatory classes for engineering school). I tried to answer the question: Can Vectorized Forward Autodiff compete with Reverse Autodiff for solving optimization problems?

value: Show HN: Reverse vs. Vectorized Forward Ad: A Performance Exploration in C


value: Show HN: I built a retro inspired forum for my local university


value: melvinzammit

value:
I built an iOS app called HabitCrush to help me (and hopefully others) quit bad habits (like procrastination, porn, junk food, or over-eating..)
It is like an inverse habit tracker. The idea is simple: name the bad habit, and every day you say no to the bad habit you get the satisfaction of “crushing” it in app. As a Bonus, each day you succeed, you get a unique gemstone as a small symbol of progress. The gemstone is computed on the day timestamp so it is unique and never comes back.
Would love feedback especially on the approach and whether the daily gemstone mechanic feels useful or gimmicky.

value: Show HN: My app for stopping BAD habits

author: melvinzammit

title: Show HN: My app for stopping BAD habits


value: lexokoh

value: Show HN: Agent Key – A Permissions Broker for AI Agents

author: lexokoh


value: Show HN: GitTalk – DM for GitHub

title: Show HN: GitTalk – DM for GitHub


value: feskk

value: Show HN: Music that builds its own visuals

author: feskk


value: yairchen

value: Show HN: CVibe – The NPM of Prompts

author: yairchen

title: Show HN: CVibe – The NPM of Prompts


value: programonaut

value:
Hi HN,
I am Max and I am building QuickDeploy!
It lets you deploy web applications of all sorts to your VPS with one command!
Here is a little showcase of the tool itself: https://youtu.be/Feauj4OaePg
Under the hood quickdeploy detects the language and framework you use, so e.g. Next.js and then creates a Docker image. After that it starts the container and waits until it is in a healthy state before using a reverse proxy to redirect traffic to the app. Added benefit is the use of your own domain with instant https!
I am super happy with the result and the ease of use. After it is configured once it just works with one command, that's so cool! Hopefully it will enable more developers to host their own apps and get them interested in that kind of stuf..
Would love your feedback on the tool!

value: Show HN: QuickDeploy – Deploy your web app to a VPS with one command

author: programonaut


value: alrjoe

value: Show HN: Pompelmi – Client-side file upload pre-quarantine (no cloud)

author: alrjoe


value: Amlal

value: Show HN: NeKernel v0.0.5

author: Amlal

title: Show HN: NeKernel v0.0.5


value: gursoyhas

value:
I've been working on a new approach to web development that lets you build responsive web applications entirely in Go using WebAssembly. I'm excited to share the gofred ecosystem with the community, though I should mention it's still very much in early development with lots of work ahead.
What is gofred?
Gofred is a Go library that compiles to WebAssembly and runs directly in the browser. Instead of writing JavaScript, you write pure Go code and get a small set of primitives for layout, components, routing, and events.
Key features:
WASM-first: Compile Go to WebAssembly and run directly in the browser
Composable widgets: container, row, column, text, image, button, and more
Routing and navigation: Lightweight router and navigation helpers
Responsive layout: Breakpoints and spacing utilities
Hot reload development: Built-in dev server with WebSocket support
Links:
https://gofred.io/ - Official website, live documentation and examples
https://github.com/gofred-io/gofred - The core library (MIT licensed)
https://github.com/gofred-io/gofred-cli - Command-line tool for creating and running apps with hot reload
https://github.com/gofred-io/gofred-website - Website source code
Why I built this:
I wanted to explore what's possible when you treat Go as a first-class language for web development. The result is a small, focused library that gives you the power of Go's type system and tooling while running in the browser.
Current status:
- Core library is stable and MIT licensed
- CLI tool supports cross-platform builds (Windows, macOS, Linux) - Hot reload development server
- Comprehensive documentation - Still under heavy development - there's a lot to do and many features are planned
What's coming:
This is very much a work in progress. I'm actively working on expanding the widget library, improving performance, adding more layout primitives, and building out the developer experience. There's still a lot of work to be done, but I wanted to share the current state and get feedback from the community.
I'd love to hear your thoughts and feedback! What do you think about using Go for frontend development?

value: Show HN: Gofred – Build responsive web apps in Go with WebAssembly

author: gursoyhas


value: wklhuey

value:
Hi,
Convertedbook is a Nodejs cli tool that spins up a server which monitors changes you make to your LaTeX document, and it then renders a preview in your browser.
Use this tool to work on a simple LaTeX document that you want to output to PDF, EPUB, or HTML.
Sources
Github - https://github.com/williamhuey/convertedbook
Npm - https://www.npmjs.com/package/convertedbook
Thanks

value: Show HN: Convertedbook – Live LaTeX Preview in the Browser

author: wklhuey


value: sonderotis

value: Show HN: Downloading a folder from a repo using rust

author: sonderotis


value:
I’ve been mapping real AI pipeline failures for months and turned it into something practical:
Dr. WFGY is a shareable ChatGPT room that acts as a 24/7 AI doctor.
* You paste a screenshot of your pipeline error (retrieval drift, RAG collapse, agent deadlock, embedding mismatch, etc.).
* The doctor triages it to a known failure mode from the catalog.
* It then prescribes the minimal fix with a reference link.
* Text-only, no SDK, no infra change.
Think of it as an ER for AI bugs: it doesn’t rest, doesn’t need context, and always maps your issue to one of the structural fixes.
The link runs live inside ChatGPT, no account on my side, no hidden tools.
---
### Why it exists
Most fixes today patch errors after generation: rerankers, regex, retries. That’s firefighting.
Dr. WFGY + Global Fix Map flips the order: it acts before generation. It blocks unstable semantic states, loops or resets if drift is detected, and only lets stable reasoning generate output.
That’s why once a failure is mapped, it stays fixed.
---
### Global Fix Map
Dr. WFGY is backed by the Global Fix Map:
* 300+ pages of reproducible AI bugs and guardrails.
* Covers retrieval, vector DBs, embeddings, long context, OCR, multi-agent orchestration, deployment order, and more.
* Each page = how it fails, how to reproduce, and the smallest stable repair.
It is MIT-licensed, model-agnostic, and already has been tested across GPT-4/Claude/Gemini/Mistral/Ollama.
---
If you have a broken prompt or pipeline trace, drop it in the chat window and see if the doctor can classify and repair it.
Feedback from people who actually ship prompts and pipelines is the most valuable signal.

value: Show HN: Dr. WFGY – an AI doctor for broken pipelines (chat-based）


value: ysf-imly

value: Show HN: KoStudy – open-source AI first learning app

author: ysf-imly


value: whack

value: Show HN: The Best TV Series You Haven't Seen

author: whack


value: piotrgrabowski

value:
Hello HN,
I'm sharing a little open-source utility I wrote recently.
I'm a huge fan of Brendan Gregg's "BPF Performance Tools" book. However, every time I SSH into a fresh server, most of the diagnostic tools aren't installed there and installing them can be really annoying.
I decided to use Nix package manager and LLMs to make this process straightforward. My utility first downloads a "toolbox" of Linux utilities (built with Nix), runs Brendan Gregg's famous "60-second Linux analysis" playbook and then summarizes the results with an LLM. So "60-second Linux analysis" now becomes a single one-line command and actually takes less than 60 seconds! The utility can execute all commands in parallel and the LLM can analyze them faster than a human would.
I have a few ideas for the future, for example implementing more powerful playbooks - thanks to Nix I can easily bundle all tools I need and LLMs have no trouble analyzing outputs of tens of commands.
I'd love to get your feedback and hear any ideas you have. Thanks for checking it out.
You can launch the utility with this command:
$ curl -fsSL https://gradient.engineer/60-second-linux.sh | sh

value: Show HN: 60-Second Linux Analysis, Supercharged with Nix and LLMs

author: piotrgrabowski


value: bnnfhppnss

value: Show HN: Soundscope – a CLI tool to analyze audio files (FFT, LUFS, waveform)

author: bnnfhppnss


value: rayoe

value: Show HN: Built a trade journal for memecoin traders - looking for feedback

author: rayoe


value: Show HN: unplugin-transform-import-meta – Transform ImportMeta at build-time


value:
Hey HN,
Tired of juggling endless chat threads, scattered links, and disjointed tools for group collaboration? I was too—constantly losing track of surveys, to-do lists, and shared notes in the chaos of WhatsApp or Slack. That's why I created Pinblocks (https://pinblocks.io): the ultimate fusion of Notion's powerful canvases with the immediacy of chat. Pin interactive data blocks right to your messages, and watch as anyone, anywhere, collaborates in real-time without ever leaving the conversation. It's seamless, engaging, and a game-changer for teams, families, and communities!
Imagine Notion meets chat: Each pinned "canvas" becomes a dynamic hub holding multiple blocks where users can edit, vote, brainstorm, or play together.
Take my badminton group: We used to spam surveys in WhatsApp, only for them to get drowned by off-topic messages. Now? Pin a survey block—it sticks at the top, tallies responses instantly, and keeps the energy high without clutter.
Or for my kid's birthday bash: I whipped up a canvas with an event block for RSVPs (track who's coming with ease), a to-do list for party prep (assign tasks like "buy cake" or "grab decorations"), a survey for fun activities, and a text block auto-generating daily jokes or quotes to spark laughs and keep the planning group buzzing with excitement.
Why Pinblocks stands out:
easy block creation for instant magic:  /todo for collaborative checklists, /survey for polls that evolve with votes, /event for smart scheduling, /table for editable spreadsheets, /text for notes (with auto-generated daily quotes, jokes, or inspirations), or /tictactoe for quick games to break the ice.
AI superpowers: Our built-in AI generates blocks on demand—command "Create a to-do list for project kickoff" or "Pin a hilarious joke of the day," and it's done, boosting engagement and creativity in every group.
Effortless cross-platform sync: Integrates with any chat app that handles pinning or links; real-time changes flow to all collaborators, no apps to download or accounts to juggle.
On the tech side: Built for speed and scalability with a frontend in React (for buttery-smooth UI), TanStack Router (efficient client-side navigation without bloat), and Tailwind CSS (rapid, responsive styling that looks pro out of the box). Backend? Powered by Supabase  Oh, and AI played a starring role in development—I tested various models and IDEs to accelerate coding and ideation. Stay tuned for a deep-dive blog post on that journey!
Still in early days, but Pinblocks is already transforming how groups connect and create. Does this ignite ideas for your workflows? I'd love your thoughts on features, UX tweaks, or wild new block ideas. Dive in at https://pinblocks.io and let's build the future of collaborative chatting together!

value: Show HN: Pinblocks – Your Chats with Notion-Style Collaborative Blocks


value: rallyfuel

value: I'm Parth, founder of rallyfuel. Launched over the summer at the World Series of baseball-great time for baseball, jello shots and tailgating. Would love some feedback on the site. https://rallyfuel.com

value: Show HN: I'm a founder who bootstrapped a sports platform

author: rallyfuel


value:
I wanted a project to learn the Dioxus framework. It needed to be relatively simple and fun. Here is a site that lets you rate horses.
The horse people I know have taken issue with this site because they say all horses are beautiful. What do you think?
Images are from an open source AI training dataset of horses, so there are some odd ones in there...

value: Show HN: Dumb Site to Rate Horses

title: Show HN: Dumb Site to Rate Horses


value: Veefa

value:
I used to work in VC and watched good teams lose months chasing the wrong investors. I’m building Evalyze to make the unglamorous parts faster and more precise.
After sign-up (email only, no card) you can:
- upload a deck or paste your site
- get a ranked list of relevant VCs/angels with a short “why” for each
What’s different: instead of dumping a big list, we try to explain why an investor fits based on stage, sector, check size, and portfolio patterns. It’s far from perfect and we want blunt feedback before opening wider.
Limits to know:
- newer funds and emerging managers can be underrepresented
- geo nuances are still rough
- matching can over-weight buzzwords if the deck is vague
I’d love critique on the ranking logic, signals you’d add/remove, and any privacy concerns. If you don’t want to upload a deck, there’s a sample you can use to see the flow.
I’ll be here replying and shipping fixes as comments come in.

value: Show HN: Evalyze – AI investor matching from your pitch deck (feedback welcome)

author: Veefa


value: SantiagoVargas

value:
I needed to quickly get caught up on a research field (glioblastoma) for a large review paper, was finding it hard as the work is fragmented and hard to integrate (especially when looking at multidisciplinary approaches).
Built this tool to create semantic maps of the literature, it groups all of the papers (~180k in my study) by the overarching ideas they discuss. It was mostly useful for saving time when finding and organizing the papers.
Now I added features for my lab to be able to interact with the research once the keyword search pulls the papers in. The 3 main ones are
1. Find papers (enter research question and get the most relevant papers from the keyword search)
2. Topic dynamics (since the clusters of papers are organized, you can see what areas are emerging/other metrics)
3. Chat feature (ask questions and get answers that query and cite the database you created via keyword)
The idea behind it is you create your own database through the keyword search, and then use the workflows to navigate the literature.
It’s at the mvp stage so there’s some placeholder info around the web app. Would love to get any feedback on those 3 functionalities from the research community on here. Cheers!

value: Show HN: Built a tool that turns a keyword into an interactive research map

author: SantiagoVargas


value: BatuhanU

value:
I tracked protein powder prices in a spreadsheet for years and found that identical protein content can have wild price differences.
I built PricePerProtein to automate it.
It pulls real-time Amazon data (Keepa API) and uses Gemini 2.5 Flash to extract nutrition facts from product images/descriptions. Calculates actual protein per dollar, not just package price.
Technical: FastAPI + Celery backend, Next.js frontend with virtual scrolling to handle 3000+ products. Deployed on a VPS (migrated from GCP - much simpler). The AI handles everything from blurry nutrition labels to understanding flavor categories.
No signup, no ads, no affiliate links. Updates hourly.

value: Show HN: Find the cheapest protein per gram across 3000 powders

author: BatuhanU


value: mvumvp

value: Bigfoot suggests 3 quick things to do based on your mood. Do one, get a reward from him<p>In a world of infinite choices and abundance, ironically, we can’t choose what to do anymore. So why not let Bigfoot decide for us?

value: Show HN: Autocomplete Your Life

author: mvumvp

title: Show HN: Autocomplete Your Life


value: muthuishere

value: Show HN: Cross-platform GUI app launcher for dev workflows

author: muthuishere


value: shellsteady

value:
I kept re-Googling the same flags, so I built a tiny, fast directory of copy-ready CLI commands. It’s static (vanilla JS), instant search, keyboard nav (↑/↓ + Enter), favorites (localStorage), and linkable queries.
Examples:
• grep errors → https://www.greppers.com/?q=grep%20error%20logs
• list open ports (macOS) → https://www.greppers.com/?q=list%20open%20ports
• show git branch graph → https://www.greppers.com/?q=git%20graph
• tail with colors → https://www.greppers.com/?q=tail%20colors
Tech notes: static site on Netlify, no build system. Data is a JSON file; favorites persist via localStorage. Search is client-side; queries are linkable with ?q= and you can filter favorites with fav=1. Dangerous commands show a confirm before copying. Headers (HSTS, nosniff) + sitemap/robots are set.
Planned next: more commands/recipes (docker, systemctl, networking), offline PWA, and a simple import/export for favorites.
Suggest a missing command: https://www.greppers.com/submit.html
I’m looking for gaps and better real-world examples. Feedback welcome.

value: Show HN: Greppers – fast CLI cheat sheet with instant copy and shareable search

author: shellsteady


value:
MindNote is an AI-powered notetaker designed for entrepreneurs who need to keep ideas, meetings, and brainstorms organized without extra effort.
Latest updates:
- Transcription now supports YouTube, Instagram, and TikTok videos
- Automatic meeting transcription from Zoom, Google Meet, and Microsoft Teams
- Improved accuracy and support for longer voice notes
Will work on some request on google workspace integrations, notion, slack huddles and slack integration.
Useful for anyone writing, transcribing, brainstorming, building, pitching, or managing teams.
Available now with a limited-time lifetime deal for entrepreneurs on Oncely: https://oncely.com/products/mindnote-discount
Open to all support for the project, feature ideas, and thoughts.

value: Show HN: AI Notetaker shipping new features: OCR, upgraded STT and TTS


value: Show HN: The Reality Index – Prediction Market Newsletter


value: RaulOnRails

value: Show HN: I built an OG image generator with Nano Banana

author: RaulOnRails


value: peaknk

value:
StreamBuddy lets you type plain English queries like:
•“Comedy movies after 2010, RT >70, under 90 minutes, on Netflix US”<p>•“Heist movies available on Netflix or Hulu”<p>•“Romantic comedies from the 90s on HBO Max”<p>It parses the query into filters (genre, year, ratings, platform, etc.) and returns results.
On top of that, you can apply dynamic filters — platform availability, Rotten Tomatoes, IMDb, runtime — without retyping the query.

value: Show HN: StreamBuddy – Natural lang movie search (with platform availability)

author: peaknk


value: Show HN: Service Exporter – Kubernetes Service Port Forwarding with Ngrok