value: alextahanchin

value:
Hey HN! I built KROCK.io, a video collaboration tool made for animation and video production teams.
I used to run an animation studio where managing Frame.io seats was a nightmare: constantly adding/removing freelancers, limiting client access, and watching per-user costs pile up.
KROCK.io fixes that. It’s built around one simple idea: unlimited seats, unlimited projects. Pay for storage and features, not for people.
You can comment on frames, track versions, set approvals, and collaborate not just on file sharing, but through the entire production workflow.
Highlights:
- Unlimited team & client seats
- Frame-accurate comments and markup
- Approval workflows made for animation and creativagencies
- Version control for every stage
- Cloud-based and fast worldwide
Would love feedback from folks in animation, motion graphics, or video production.
Try free plan → https://krock.io

value: Show HN: I made a Frame.io alternative for teams tired of per-seat pricing

author: alextahanchin


value: jtewright

value:
Hey HN,
This B2B PMF Scorer takes a website URL and generates a PMF analysis with a score /100, specific recommendations, and simulated user research findings.
Note: it takes ~5 minutes to run! Sample: https://semilattice.ai/pmf-report-1760452680406.pdf
It's a demo of what you can do with Semilattice (simulated user research), but we hope it's useful in itself.
It parses the marketing messages from the website to match one of our audience models, then uses that model to predict 12 PMF-related research questions around the product, the messaging, and the audience generally. With that simulated data, it generates the PDF (markdown available too.)
About Semilattice: we're building user insights as infrastructure. Our API can predict how specific target audiences answer arbitrary questions, i.e. near-instant surveys. We build audience models using real ground truth data and have eval tools so there's always an estimated accuracy (currently >87% on average). Docs here: https://docs.semilattice.ai
We want to be the API layer better decisions and more personalised UX/content. Reach out if you’d like to build with us.

value: Show HN: Get a PMF score for your website, based on simulated user data

author: jtewright


value: connortbot

value: Setting up a workspace for AI coding agents (Claude Code, Aider, etc) takes 30+ minutes - VM provisioning, SSH keys, dependencies, or cloning your repo. Replicas makes it one command. Workspace is ready in ~30 seconds, immediately ready for SSH.<p>Looking for feedback!

value: Show HN: Replicas – Workspace VMs for your coding agents

author: connortbot


value:
Hi HN,
I’m excited to share Civora Nexus, a civic-tech and AI SaaS company building tools for smart city governance and healthcare systems.
We provide:
Modules for municipal services to optimize resource allocation
AI tools for data analysis, forecasting, and decision support for civic bodies
Healthcare SaaS features to support public health initiatives (integration, dashboards, alerts)
Why this matters
Many local governments and civic bodies struggle with fragmented data, legacy systems, and limited AI tooling. We want to enable them with affordable, scalable, intelligent infrastructure.
How it works (technical side)
We integrate city / civic data feeds (e.g. public services, infrastructure sensors, health metrics)
AI / ML models analyze patterns, detect anomalies, make predictions
Dashboard & APIs expose insights for decision-makers
Multi-tenant SaaS architecture to serve different cities or gov bodies securely
What’s next
Expanding to 5+ cities / municipalities
Building plug-ins/modules for environment, transport, waste, etc.
Open API for third-party civic-app developers
Strengthening data privacy and compliance (especially in public sector)
Visit: https://civoranexus.com/
We’d love your feedback, potential collaborations, or ideas from this community.

value: Show HN: Civora Nexus – AI SaaS for Smart Cities and Governance


value: LuckyAleh

value: Show HN:I built a free AI tool that scans and sorts financial news for traders

author: LuckyAleh


value: Mylinux-os

value: Show HN: Mylinux: a minimalist Linux disro by a 13 year old

author: Mylinux-os


value: Rutledge

value:
Hey HN! I built self-driving sim and eval at Waymo. Now I’m building Scorecard to bring that approach to agent eval: reproducible, automated scoring for AI. Scorecard lets you:
- Run LLM-as-judge evals on agent workflows: test tool usage, multi-step reasoning, and task completion in CI/CD or in a playground.
- Debug failures with OpenTelemetry traces: see which tool failed, why your agent looped, and where reasoning went wrong.
- Collaborate on datasets, simulated agents, and evaluation metrics.
Try it out → https://app.scorecard.io (free tier, no payment required!)
Docs → https://docs.scorecard.io
We’re a small team (4 people), just raised $3.75M, and have early customers using Scorecard for evals in the legal-tech space. We're on a mission to squash non-deterministic bugs. What's the weirdest LLM output you've seen?

value: Show HN: Scorecard – Evaluate LLMs like Waymo simulates cars

author: Rutledge


value:
I've recently open-sourced Plugboard - a Python framework for modelling complex processes.
We originally started out helping data scientists to build models of industrial processes where there are lots of stateful, interconnected components. Example usage could be a digital twin of a mining process, or a simulation of multiple steps in a factory production line.
Do please give it a try if you've faced the challenges of running complex, data-intensive simulations in Python, and let us know what you think!

value: Show HN: Plugboard – a Python framework for modelling complex processes


value: ndhandala

value: Show HN: OneUptime – Open-Source Incident.io

author: ndhandala


value:
Hi HN!
I built Lockbridge because secure file sharing and encryption workflows are still way too complicated in 2025.
Lockbridge focuses on making end-to-end encrypted transfers simple, auditable, and cloud-agnostic.
Core features:
Bridges: Shareable, encrypted upload/download links with auto-expiration.
Cloud federation: Unified dashboard for S3, Azure, GCP, Google Drive, Dropbox, and other S3-compatible solutions.
Blockchain audit trails (optional): Immutable, Polygon-based logs for HIPAA/SOX compliance.
Zero-knowledge encryption: True client-side E2EE- we can’t access or decrypt your files.
Example use case:
Create a Bridge, send the link to a client, and they can securely upload files directly to your Google Drive, S3, or Dropbox. The Bridge auto-expires (e.g., 24 hours or 1 week). For regulated industries, every transfer can optionally be logged to Polygon for an immutable compliance record.
We’re currently in beta and would love feedback on:
The Bridge UX — does it feel intuitive?
The multi-cloud integration experience.
Whether blockchain audit trails add real-world value outside regulated sectors.
http://lockbridge.com
Appreciate any thoughts, questions, or edge cases you think we should consider.

value: Show HN: Lockbridge – Encrypted File Transfers


value: cat-whisperer

value:
Cool. Now I have 47 prompts scattered across Twitter bookmarks, Reddit saves, random text files, that one GitHub gist I can't find, and my chat history from 3 months ago.
I got tired of this and built PMX. It's a portable prompt manager that lives in your dotfiles.
All your prompts are just markdown files in ~/.config/pmx/repo/. You can version control them, sync them across machines, organize them in folders—whatever you do with your other config files.
```<p>pmx profile create code-reviewer<p>pmx profile edit code-reviewer<p>pmx profile list<p>pmx set-claude-profile code-reviewer<p>```
The real power: PMX runs as an MCP server. Every MCP-compatible tool (Claude Desktop, VS Code Copilot, etc.) can discover and use your entire prompt library automatically. No copy-pasting. No vendor lock-in. For MCP it's just `pmx mcp`
Your prompts travel with your dotfiles. One library, all your AI tools.
Built in Rust: https://github.com/NishantJoshi00/pmx

value: Show HN: dotfiles for your AI prompts

author: cat-whisperer

title: Show HN: dotfiles for your AI prompts


value: jazzrobot

value: Show HN: Just Enough Linux for Indie Hackers

author: jazzrobot


value: krizhanovsky

value:
This is a small PoC Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on.
We'll be happy to gather initial feedback on usability and features, especialy from people having good or bad experience wit bots.
*Requirements*
The analyzer relies on 3 Tempesta FW specific features which you still can get with other HTTP servers or accelerators:
1. JA5 client fingerprinting (https://tempesta-tech.com/knowledge-base/Traffic-Filtering-b...). This is a HTTP and TLS layers fingerprinting, similar to JA4 (https://blog.foxio.io/ja4%2B-network-fingerprinting) and JA3 fingerprints. The last is also available in Envoy (https://www.envoyproxy.io/docs/envoy/latest/api-v3/extension...) or Nginx module (https://github.com/fooinha/nginx-ssl-ja3), so check the documentation for your web server
2. Access logs are directly written to Clickhouse analytics database, which can cunsume large data batches and quickly run analytic queries. For other web proxies beside Tempesta FW, you typically need to build a custom pipeline to load access logs into Clickhouse. Such pipeliens aren't so rare though.
3. Abbility to block web clients by IP or JA5 hashes. IP blocking is probably available in any HTTP proxy.
*How does it work*
This is a daemon, which
1. Learns normal traffic profiles: means and standard deviations for client requests per second, error responses, bytes per second and so on. Also it remembers client IPs and fingerprints.
2. If it sees a spike in z-score (https://en.wikipedia.org/wiki/Standard_score) for traffic characteristics or can be triggered manually. Next, it goes in data model search mode
3. For example, the first model could be top 100 JA5 HTTP hashes, which produce the most error responses per second (typical for password crackers). Or it could be top 1000 IP addresses generating the most requests per second (L7 DDoS). Next, this model is going to be verified
4. The daemon repeats the query, but for some time, long enough history, in the past to see if in the past we saw a hige fraction of clients in both the query results. If yes, then the model is bad and we got to previous step to try another one. If not, then we (likely) has found the representative query.
5. Transfer the IP addresses or JA5 hashes from the query results into the web proxy blocking configuration and reload the proxy configuration (on-the-fly).

value: Show HN: An open source access logs analytics script to block bot attacks

author: krizhanovsky


value: cassettelabs

value: It's just a concept, but i'm sure it's possible to build something like that with esp32 and eink display. It uses fully local speech to text, for real device i'd use a server based transcription.<p>it works only on desktop, unfortunately didn't have much patience to make it responsive on mobile

value: Show HN: I've built a prototype for a physical e-ink todo list with voice input

author: cassettelabs


value: amirawel

value:
Hi HN,
I recently built LinkMan, a link management platform for affiliate marketers and content creators. The goal is to make it easy to:
- Track all links across campaigns
- See where clicks are coming from (countries, platforms, devices)
- Manage branded URLs
- Check link health
- And access several other features for link analytics and optimization
Some technical details:
- Built with React.js for the frontend and Express.js for the backend
- Designed for easy integration with existing affiliate workflows
- Scalable and maintainable architecture for future features
I’m sharing it here to get feedback on usability, features, and architecture. Would love to hear from anyone with experience in link tracking, affiliate marketing, or SaaS analytics.
You can check it out here: https://link-management-96xs.vercel.app/

value: Show HN: Link Management Platform for Affiliate Marketers and Content Creators

author: amirawel


value: dearilos

value:
Hey HN! Ilya and Nikita here. We're building wispbit (https://wispbit.com) - a tool that helps keep codebase standards alive.
With the help of AI coding tools, engineers are writing more code than ever. Code output has increased, but the tooling to manage this hasn't improved. Background agents still write bad code, and your IDE still writes slop without the right context.
So we built wispbit. It works by scanning your codebase for patterns you already use, and coming up with rules. Rules are kept up to date as standards change, and you can edit rules any time.
You can enforce these rules during code review, and because we have this rules system, you can run a CLI locally to review using these rules. You can think of it as a portable rules file that you can bring anywhere.
We put a lot of work into making a system that produces good rules and avoids slop. For repository crawling, we have an agent that dispatches subagents, similar to Anthropic's research agent. These subagents will go through and look for common patterns within modules and directories, and report back to the main agent, which synthesizes the results. We also do a historical scan on your pull request comments, determine which ones were addressed, filter out comments that wouldn't make a good rule, and use that to create or update rules.
Our early users are seeing 80%+ resolution rates, meaning that 80% of comments that wispbit makes are resolved.
Long-term, we see ourselves being a validation layer for AI-written code. With tools like Devin and Cursor, we find ourselves having to re-prompt the same solution many times. We still don't know the long-term implications on AI-assisted codebases, so we want to get in front of that as soon as possible.
We've opened up signups for free to HN folks at https://wispbit.com. We're also around to chat and answer questions!

value: Show HN: Wispbit - Linter for AI coding agents

author: dearilos


value: laktak

value: Wrote this to keep my Framework quiet (or at least have a constant noise level when necessary). YMMV but I really like having the fan off most of the time.

value: Show HN: Nofan Framework 16 Fan Controller

author: laktak


value: felipe-pathwave

value:
Hey HN,
On my — very limited :D — spare time, I’ve been working on Pathwave.io — a tool to add a manual approval step to AI automations.
The first version I’m releasing today is focused on that manual approval flow — no payments yet, just secure "approve / deny" operations that can be triggered from your AI or backend via our API. You can check out the docs here: https://web.pathwave.io/docs
How it works:
* Your AI or app sends an approval request through our API
* The user gets a push notification in the Pathwave mobile app
* They can approve or deny in real time
* Your system gets the result instantly
The goal is to create a trust layer for AI actions — first for simple approvals, later for financial and high-risk operations.
I’d love feedback from the HN community, especially around:
* Use cases where you’d want AI to "ask first"
* Thoughts on developer experience from the docs
* Suggestions before expanding to payment integrations
Thanks for taking a look — you can try it out or read the quickstart here: https://web.pathwave.io/docs
— Felipe

value: Show HN: Pathwave.io – MCP and mobile app to manually approve AI actions

author: felipe-pathwave


value: deephire

value:
Our apartment has one of those old buzzer systems that calls your phone when someone’s at the door. The system only allows a single phone number, so when my wife was expecting a delivery, she’d stay anxious and glued to her phone all day waiting for the call. Sometimes she didn’t see it, and the person couldn’t get in.
I built BuzEntry to fix that. It automatically answers your building’s buzzer and presses the unlock key. No app, no hardware, just a phone number that works in place of yours. You can also set an optional passcode that guests or delivery drivers have to say or type before the door unlocks.
I’d love feedback on the best ways to reach people who’d actually find this useful, other features that could add real value, and any buzzer quirks or edge cases worth testing.
https://buzentry.com

value: Show HN: BuzEntry – your apt buzzer answers itself

author: deephire


value: rishavmukherji

value:
HN - this is rish.
Ended up on a 2h call with Chase which resulted in building Relaya to automate this. For simple tasks (e.g. checking if something is in store, making a reservation that isn't on opentable, etc.), it will just do the full task. No need to dial anything.
For more complex tasks e.g. applying Chase Sapphire credits to rebook an existing flight, it will wade through all the menus and holds and connect you with the agent directly.
At the very least, only talk to humans and reduces an avg. 20-30 min call to 2-3 mins (~20+ ppl have tried so far).
Next, I imagine will be able to automate a certain % of the more complex calls as well. Looking for feedback.

value: Show HN: Relaya – Agent calls businesses for you

author: rishavmukherji


value: speeq

value:
I vibe-coded PlayMyMood, a simple web app that creates a YouTube playlist based on how you feel.
Type a mood (like “nostalgic but hopeful” or “I feel like dancing”), and it generates songs that match.
Try it here: https://playmymood.com/
Have fun!

value: Show HN: PlayMyMood – Generate YouTube Music playlists based on your mood

author: speeq


value: rdwj

value: When developing with an AI agent like Claude Desktop or Claude Code, it is helpful for the agent to be able to test the code you are developing, as you go. This MCP server lets Claude interact with your MCP as a real client, run the tools, execute prompts using an optional LLM configuration, and gain insight into how well the MCP complies with the standard you are going for. You don't have to add your new MCP to the Claude configuration. This one serves as a bridge.<p>I developed this to solve a real problem I was having. When I would have issues with an MCP deployed to my test cluster, Claude would fail to use the proper tools for it (like cMCP, etc.), and assume the client side was just set up wrong and start rewiring it for Websocket or REST. With this MCP in place, that has stopped, and now I can have Claude use all the tools, prompts and resources for an MCP and then with that in context, help me create an agent that uses the MCP.

value: Show HN: An MCP Server for Testing MCP Servers Using Claude Code

author: rdwj


value: covil

value:
Features:
- uses your Claude subscription (no extra LLM API cost)
- actually looks at the code (not only docs like .md)
- supports private repos with Github PAT
- semantic search using qdrant(oss)
- mcp integration
- data stays in your machine
- use gemini embedding (local model WIP)
Quickstart:
git clone https://github.com/cheolwanpark/snippets && cd snippets
cp docker/.env.example docker/.env  # Add CLAUDE_CODE_OAUTH_TOKEN & EMBEDDING_API_KEY
docker-compose -f docker/docker-compose.yml up -d
claude mcp add --transport http snippets http://localhost:8080/mcp

value: Show HN: Open-source, local-first Context7 alternative

author: covil


value: joeysywang

value: Show HN: Todo-CLI – Add a todo, AI agents complete it for you

author: joeysywang


value: howardV

value:
Hey HN! I built a free tool that generates transcripts from YouTube videos with timestamps.
Key features:
- 100% free, no signup required
- 99% accuracy with Whisper V3
- Multiple export formats (TXT, SRT, VTT)
- 60+ languages auto-detection
- Includes timestamps for navigation
I noticed many existing tools either require signup, have paywalls, or produce low-quality transcripts. This tool aims to solve that.
Try it: https://harku.io/tools/youtube-to-text
Feedback welcome!

value: Show HN: Free YouTube Transcript Generator – 99% Accuracy, No Signup Required

author: howardV


value: Show HN: Minimal 1Password → shell env loader with Mise hooks


value:
Hi HN, I've been working on a solver for the puzzle game Railbound and wanted to share it.
The backstory is that I'm a big fan of the game and was curious if I could model its logic using constraint programming. I used MiniZinc to build it. The project treats each puzzle as a constraint satisfaction problem—it defines the rules of the game (how tracks connect, how switches work, etc.) and then searches for a layout that solves the level.
It's different from other solvers because it's a declarative model rather than an imperative search algorithm. It was a fun challenge to translate mechanics like timed gates, dynamic switches, and decoy cars into formal constraints.
You can run it on your own machine. The repo has instructions, but the basics are:
   1. Install the MiniZinc IDE/toolchain.
   2. Clone the repo.
   3. Run a command like minizinc --solver or-tools main.mzn data/1/1-1.dzn
The project is open source and currently solves the first 8 worlds of the game.
Repo: https://github.com/Th1nhNg0/railbound_cp
I'm here to answer any questions. I'd love to hear your feedback.

value: Show HN: I modeled the puzzle game Railbound with Constraint Programming


value: spenvo

value: Show HN: a deterministic chess variant with cheat resistance and tons of variety

author: spenvo


value: fliellerjulian

value:
When Claude Code makes changes, giving targeted feedback is annoying. You have to switch back to chat and explain "actually, change line 47-65...."
I built a VS Code extension that adds inline comment boxes directly on git diffs. Click a line or select multiple, type what you want changed, hit send -> goes straight to Claude Code's terminal with the exact diff context.
Makes the feedback loop way faster when you need surgical edits instead of re-explaining the whole file.
Its free and open source.

value: Show HN: PR comments for Claude Code diffs (open-source)

author: fliellerjulian


value: Show HN: AutoDev: Automated AI Development at Scale


value: sunnykentz

value: Show HN: Electron but for Java 21

author: sunnykentz

title: Show HN: Electron but for Java 21


value: ImrulKaayes

value:
We built GraphBit to solve the reliability gap in AI frameworks.
It’s built on a Rust execution core with a Python layer for accessibility — deterministic orchestration, lock-free concurrency, and built-in observability.
We’d love feedback from the HN community, especially from those running multi-LLM or agentic workflows at scale.

value: Show HN: GraphBit- Rust and Python framework for production-ready AI agents

author: ImrulKaayes


value: idanatomix

value:
We're excited to announce Codimix, a new networking platform for developers.
The concept is fun and straightforward: Users attend coding events to meet new developers and build something together.
The best way to know someone is to work with them on something. Join now to expand your network!

value: Show HN: Build Connections, One Commit at a Time

author: idanatomix


value: kanodiaayush

value: I'm trying to build a better artifact than text summaries to explore a body of knowledge. I'd like to be able to start high level, and go as deep as I want to, in a unified experience.<p>Please try it, looking for feedback!

value: Show HN: Skip summaries, turn books/papers/topics into interactive maps using AI

author: kanodiaayush


value: danielrothmann

value: Show HN: Firm, a text-based work management system

author: danielrothmann


value: Show HN: Drastic – Run Nintendo DS Games on Android


value: rambobambo

value:
Hi HN,
I’ve been experimenting with a different kind of search engine. Instead of just giving you a list of links, it generates both text and visuals to explain answers.
Think of it as:
You search “How to tie a tie?” → you get an explanation + illustrations.
Or “How to hold a coffee mug like Elon Musk?” → quirky, but fun demo results.
I believe this can help people learn faster by combining step-by-step clarity with visuals.
Right now it’s still early:
Works well for many “how-to” queries.
Some edge cases = no info yet.
Focused on everyday tasks, learning steps, and explanations.
I’d love feedback from this community:
What “how-to” queries would you test?
What would make this genuinely more useful than a normal search engine?

value: Show HN: A "How-to" search engine that explains with text and visuals

author: rambobambo


value: astyawe

value: WealthAI is a SaaS product that automatically categorizes income, expenses, and investments using AI, and gives users actionable insights, budgeting guidance, and wealth-optimization suggestions. It operates on a freemium + Pro model, is production-ready, and already has user traction (≈150 monthly visitors).<p>Open to feedback, collaboration, or acquisition.

value: Show HN: WealthAI – AI-powered personal finance and investment tracker

author: astyawe


value: shoomkloom

value:
DBMCP is updated: Now supports MongoDB, PostgreSQL and MySQL!
DBMCP is an instant DB MCP Server for you AI assistant - no install necessary!
Using an MCP server with your AI assistant is almost like magic.
Using it with your DB is even better!
You can get quick insights into your data without remembering complex SQL or MongoDB syntax.
Even better: because you are using an MCP server with tools, you get more reliable answers: the LLM is generating the query but not the actual code to execute it.
Check it out!

value: Show HN: Updated Dbmcp – An Instant MCP Server for Your DBs

author: shoomkloom


value: yehors

value: Show HN: Rust-based translator with KULYK models for English<->Ukrainian MT

author: yehors


value: Discover professional nano banana prompts and banana image prompts created by our AI prompt generator. From nano banana model prompts to gemini banana prompts, explore the best banana AI prompt examples for stunning image generation with nano banana image prompts.

value: Show HN: Nano Banana AI Prompt Gallery

title: Show HN: Nano Banana AI Prompt Gallery


value: RavenKe

value: VectorIHub is a platform that takes your code, auto-dockerizes it, and hosts it — no Dockerfile needed. You upload a repo or connect GitHub, and VectorIHub detects your stack, generates a Dockerfile, builds it, and deploys automatically.

value: Show HN: VectorIHub – Turn any codebase into a running container in seconds

author: RavenKe


value: laalshaitaan

value: Do y'all use any other tools to test!

value: Show HN: Testing Your MCP Servers

author: laalshaitaan

story_text: Do y'all use any other tools to test!

title: Show HN: Testing Your MCP Servers


value: mohitvaswani

value: I'm also open to new offers :)

value: Show HN: I built a founder database, made $2.2k, got 3X offer. Should I sell?

author: mohitvaswani

story_text: I'm also open to new offers :)


value: Show HN: I LLM-coded a 10kb version of my favorite ClojureScript React wrapper


value: Show HN: Secure AI contexts with open source reBAC-protected RAG and SQLite-vec


value: adamhowell

value:
I modeled it after last year's Project Skydrop (http://projectskydrop.com)
* 24/7 web cam trained on the treasure of $26k in gold coins
* shrinking circle (100 miles today) showing its location and updating every morning
* premium option for aerial photos that go higher and higher every morning. $10 from every premium upgrade goes towards the pot
Over 5k people have joined so far. Good local media attention but nothing national yet. There's a private community for premium users and it's actually been pretty fun with people posting photos of their hikes and sharing their updates.
If you've ever thought about doing something crazy like this feel free to AM(almost)A about the hunt

value: Show HN: I started treasure hunt in Blue Ridge. It's Day 7. Prize is up to $36k+

author: adamhowell


value: kexaproj

value:
Hi HN,
We're building Kexa.io (https://github.com/kexa-io/Kexa), an open-source tool developed in France (incubated at Euratech Cyber Campus) to help teams automate the often tedious process of verifying IT security and compliance. Keeping track of configurations across diverse assets (servers, K8s, cloud resources) and ensuring they meet security baselines (like CIS benchmarks, etc.) manually is challenging and error-prone.
Our goal with the open-source core is to provide a straightforward way to define checks, scan your assets, and get clear reports on your security posture. You can define your own rules or use common standards.
We'd love for the HN community to check out the open-source project on GitHub. Feedback on the concept or the current tool is highly welcome, and a star if you find it interesting helps others discover the project!
If you're interested check out website we also have an offer with dashboard, no-code rule builder,..

value: Show HN: Kexa.io – Open-Source IT Security, Compliance and AI-Powered

author: kexaproj


value:
I built Trott out of frustration with my own “Saved” folders on Instagram and YouTube. I’d save reels and shorts—workout tips, recipes, travel spots—thinking I’d find them again later. But, like most people, I ended up with a black hole of unsorted videos: no search, no filters, and if I ever did find the right video again, I’d have to dig through the whole thing just to get that one detail I needed.
When I tried looking for solutions, I found only genre-specific apps or tools that demanded manual uploads or new workflows. None felt like they understood how real users behave or save content. So I decided to build Trott.
What makes Trott different?
You can share any Instagram Reel or YouTube Short (TikTok support launches next week) to Trott, straight from your phone’s native share menu—no manual uploads.
Trott uses AI to extract relevant info automatically (ingredients, places, products, etc.) and sorts everything for you.
It’s fully searchable with natural language. Just type something like “that Kyoto café from Instagram” and Trott finds it.
For travel videos, it can even produce Google Maps routes from extracted locations.
App Store: https://apps.apple.com/in/app/trott/id6751728352
Play Store: https://play.google.com/store/apps/details?id=in.hattimatiml...
I’d love to hear how you organize your own saved content—or if you’ve just given up and let it pile up like I used to. Open to all questions, feedback, and bug reports. Happy to discuss the tech details behind Trott if you’re interested!

value: Show HN: Trott – search,sort,extract social media videos(ig,yt,tiktok)


value: culinary-robot

value:
I started working on Halloy back in 2022, with the goal of giving something back to the community I’ve been a part of for the past two decades. I wanted to create a modern, multi-platform IRC client written in Rust.
Three years later, I’ve made new friends who have become core contributors, and there are now over 200 people idling in our #halloy channel on Libera.
My hope is that this client will outlive me and that IRC will live on.

value: Show HN: Halloy – Modern IRC client

author: culinary-robot

title: Show HN: Halloy – Modern IRC client


value: yutokure

value:
Hi HN,
I'm the creator of this project. For the last few years, I've been solo-developing what started as a simple roguelike and evolved into... well, this. It's a massive, open-source, browser-based game/platform built entirely with vanilla JavaScript, HTML, and CSS.
Demo: https://yutokure.github.io/yu-roguelike/site/
GitHub (MIT): https://github.com/yutokure/yu-roguelike/tree/main
The project has three core pillars:
1. The Roguelike: A deep, turn-based game with a "dungeon crafting" system. Instead of playing random levels, you combine presets to compose a dungeon with specific properties, and the same combination always generates the same seed. The endgame involves unlocking a developer console to script the game world.
2. The 75+ "Minigames": This is where my obsession really shows. To grind EXP, you can play a huge variety of side content, including:
A physics/chemistry sandbox: I wrote a 2D engine from scratch that simulates rigid bodies, cloth, fluids (SPH), thermodynamics, and chemical reactions. You can even design custom materials by combining elements from a periodic table.
A spreadsheet app: A surprisingly functional Excel clone with a formula engine (=SUM, VLOOKUP, etc.), formatting, and even XLSX import/export.
Other tools: A word processor, paint program, circuit simulators, and tons of classic games (Chess, Tetris, etc.).
3. The To-Do List: This is my experiment in gamification. It's a real To-Do list where you set your own real-life tasks. Completing them gives you in-game rewards (EXP, rare items), while negative tasks (like "stayed up too late developing this game") can apply penalties.
This has been a massive learning experience and a true labor of love, free from commercial constraints. I wanted to see how far I could push what's possible in a browser with just the basics.
I'd be happy to answer any questions about the implementation, the design philosophy, or why I thought building an Excel clone for a roguelike was a good idea. Feedback is deeply appreciated!

value: Show HN: A roguelike with a physics sandbox and Excel clone as minigames

author: yutokure


value: amironi

value: Show HN: ContextGuard – Open-source security monitoring for MCP servers

author: amironi


value: Show HN: DocStrange: An LLM-Ready Data Platform That Performs Better Than Gemini


value: rezivor

value:
Hey HN! Built this because I was tired of waiting hours for transcription
  services and didn't want to upload sensitive recordings to the cloud.

  Real metrics from my M1 Max: 4.5hr video file transcribed in 3 minutes 32
  seconds. Works completely offline.

   First 5 HN users who click the button on the page get it free. Literally promo code straight to the app sore

  Key differences vs Rev/Otter:
  - No 2-hour file limits (handles any length)
  - Timecodes stay accurate on long files (no drift from chunking)
  - Supports MP3, WAV, MP4, MOV, M4A, FLAC
  - Exports to SRT, VTT, JSON, PDF, DOCX, CSV, Markdown

  Built for macOS. Happy to answer questions!

value: Show HN: Scriber Pro – Offline AI transcription for macOS

author: rezivor


value: radutse

value: Show HN: PathCanary – Synthetic monitoring to guard your critical funnel

author: radutse


value: sunandsurf

value:
Hey there HN,
I'm a data scientist and amateur investor. I've been using OpenAI's Deep Research to get quick overviews of investment candidates, and I saw an opportunity for a version specialized for stocks.
So in the last month I built an MVP with a simple UI: pick a stock (or multiple!), click "research," and in ~5 minutes it produces a report. Here's the demo: https://www.youtube.com/watch?v=2wCM44B6iH8
At first I just wanted to build a tool that automatically integrates SEC filings with OpenAI's Deep Research API to save time on manual uploads. But their API is insanely expensive (up to $10 for one run!), so I decided to build my own agents. They currently do the following:
- Parse data from SEC (10-Ks and 10-Qs)
- Search the web for relevant data (I made a list of industry-specific publications for each sector — agents only search those links and avoid market news like CNBC)
- Pull up-to-date financial data from Financial Modeling Prep
The final combiner agent takes data from these sources and produces a structured report with three parts:
- One-pager for a quick glance
- Full report with citations for a deep dive
- Financials section with graphs to see trends
I also built a dashboard where you can organize reports in folders and easily compare them.
This is NOT a stock tip generator or a replacement for your own judgment. Think of it as a scalable junior analyst who does the research part for you.
I'd love feedback on how this fits into your research workflow. Since API costs are still high, I require a signup, but you get 3 free research credits to try it out.
If you don't feel like signing up, you can comment a ticker you'd like to see and I will share the report in a reply.

value: Show HN: I built Deep Research for stocks

author: sunandsurf


value: egdels

value:
After building Let’s Bend, a small open-source harmonica training app that surprisingly reached #1 on HN,
I wanted to create something completely different - a document scanner that works fully offline.
MakeACopy is an open-source document scanner app for Android that runs entirely on-device.
No accounts, no ads, no tracking, no cloud - just local processing.
It uses OpenCV + ONNX for document detection and Tesseract for OCR, then exports PDFs with an embedded searchable text layer (or plain text).
Main features:
– Detect and crop documents using OpenCV/ONNX
– Local OCR via Tesseract (no servers)
– Export as searchable PDF or plain text
– 100 % offline, privacy-friendly, open source (Apache 2.0)
Compared to apps like Adobe Scan or Microsoft Lens, MakeACopy doesn’t require an account and avoids any cloud upload.
GitHub: https://github.com/egdels/makeacopy
Website: https://egdels.github.io/makeacopy/
Happy to get feedback, questions, or feature suggestions from the community.

value: Show HN: MakeACopy – An offline, open-source document scanner for Android

author: egdels


value:
The code runs entirely in the Browser.
Inbound and Outbound networking are provided with the help of Cloudflare Workers, and the dev server is reachable from the Internet as long as the tab is open.
See https://labs.leaningtech.com/blog/browserpod-annoucement for more info or ask anything here.

value: Show HN: BrowserPod – In-browser Node.js, Vite, and Svelte with full networking


value:
I built this tool to generate comprehensive test cases from user stories using GPT-4, then auto-generate automation code in multiple frameworks (Selenium, Playwright, Cypress).
What takes a QA engineer 3-4 hours now takes 30 seconds.
Features:
- Multi-industry support (Insurance, Fintech, E-commerce, Healthcare)
- Generates positive, negative, edge cases, and security tests
- Auto-generates production-ready automation code
- Free tier: 5 test generations per day
Built and deployed in one day using Python, Streamlit, and GPT-4 to validate the concept.
Live demo: https://genai-test-gen.streamlit.app
Happy to answer questions about the architecture, prompt engineering techniques, or how this fits into modern QA workflows.

value: Show HN: GenAI Test Case Generator – Reduces QA time by 80% using GPT-4


value: ericrenan

value: Show HN:wheretowatch.stream-availability by season with dubbed and subtitled ver

author: ericrenan


value: mxmzb

value: Show HN: I have built an LLM API logger with rate limits and request scoping

author: mxmzb


value: tonysurfly

value: Show HN: Modern iFrame Test

author: tonysurfly

title: Show HN: Modern iFrame Test


value: kalli

value:
Inspired by .http files and HTTPYac, SQLYac lets you write executable SQL documentation with variables, safety prompts, and per-query targeting.
Instead of scattered .sql files or copy-pasting into clients, write annotated queries once and pipe them to any sql database client. Variables get substituted, destructive queries can prompt for confirmation, and your schema stays documented alongside actual queries.
For example, if you have a `queries.sql` file like this:

  ---
  -- @name QueryWithVariables
  SELECT *
  FROM orders o, users u
  WHERE u.id=@user_id
  AND u.active=@active
  AND o.status=@status
  AND o.user_id=u.id
  LIMIT @lim;

  -- some variables
  SET @user_id=2;
  SET @lim=10;
  SET @active=true;
  SET @status="completed";

  ---

You can execute a query in the terminal like this: `sqlyac queries.sql QueryWithVariables | mysql -u user -p database` (or `psql`, `sqlite3` or whatever)
Written in go, `go install github.com/kalli/sqlyac@latest` for a small-ish binary: https://github.com/kalli/sqlyac
Blogpost with more info: https://dev.karltryggvason.com/sqlyac-structure-and-tooling-...

value: Show HN: SQLYac – Structured SQL files you can run from the terminal

author: kalli


value: jonasNobile

value: Show HN: Convert any website to Astro and Tailwind

author: jonasNobile


value: Hey - Co-Founder of Gondola.ai here. We just released our iOS app that puts a travel hacker in your pocket.  It works 24/7 to organize your points, find price drops on your existing reservations, and books you directly with hotels (no third party).<p>It’s free and live on the App Store. We’d love feedback from the HN community on how we can make agentic travel even better!

value: Show HN: AI Travel Hacker in iOS Store

title: Show HN: AI Travel Hacker in iOS Store


value:
I’ve been exploring how we might treat knowledge as a geometric structure instead of a collection of embeddings.
KAG (Knowledge as Geometry) positions facts, classes, and instances in a shared coordinate space — making retrieval spatial, about distance, density, and context rather than simple vector similarity.
It’s an early-stage research prototype — not production-ready, but meant to spark discussion.
I’d love feedback from people working on retrieval, embeddings, or conceptual modeling.

value: Show HN: KAG – Treating Knowledge as Geometry, Not Text


value: adrianbr

value:
Hey folks,
dltHub, maker of dlt "data load tool" is releasing a LLM-native workflow for creating pipelines. This is OSS and you can try it yourself (15-30min is a good time)
Is this BS or does it work?
A: it works decently well, significantly better than starting from scratch. We held back this feature for a couple months to improve it until we were happy to offer it.
How is this better than from scratch?
- We do not generate code, we generate python config dictionary, making review easy.
- We offer a debug app to validate correctness,
- finally, the LLM context ensures low hallucination rate for higher success rates.
Feedback welcome! Missing a scaffold? let me know and we will add it

value: Show HN: We built a LLM-native workflow with 3500 scaffolds and a debug app

author: adrianbr


value: gangelo

value:
As featured in RubyWeekly https://rubyweekly.com/issues/687
dsu is a ruby gem that enables anyone practicing Agile methodology to record, keep track of and manage their daily standup (DSU) activities. Give it a download and a GitHub star. Lots of fun to use - whether or not you hate daily stand-ups :)
- dsu uses no network connections whatsoever. - dsu stores all of its data locally, in .json files. - dsu is a simple (but powerful) command-line tool for users who love to work within the terminal. - dsu versioning follows the semantic versioning standard (MAJOR.MINOR.PATCH).
- View the wiki: https://github.com/gangelo/dsu/wiki

value: Show HN: Dsu (daily stand-up gem)

author: gangelo

title: Show HN: Dsu (daily stand-up gem)


value: Show HN: Cursor for sales proposal writing


value: tpae

value:
Osaurus is an open-source local inference runtime for macOS, written in Swift and optimized for Apple Silicon.
It lets you run Apple Foundation Models locally — fully accelerated by the Neural Engine — while also exposing OpenAI- and Ollama-compatible endpoints, so you can connect your favorite apps, tools, or clients without any code changes.
Key points:
* Supports Apple Foundation Models natively
* Compatible with OpenAI & Ollama APIs
* ~7 MB binary, runs locally (no cloud, no telemetry)
* MIT Licensed, open source
Project: https://osaurus.ai
Source: https://github.com/dinoki-ai/osaurus
We’re exploring what a local-first AI ecosystem could look like — where inference, privacy, and creativity all happen on your own hardware. Feedback and testing welcome!

value: Show HN: Osaurus – Ollama-Compatible Runtime for Apple Foundation Models

author: tpae


value: tevlon

value:
Hi there,
Enes here, first-time founder, and I am excited to share Xona.ai with you!
We've been working on this project for the past several months and launched our beta in April. Since then, we have attracted over 10,000 users, and I couldn't be happier with the results.
Xona.ai makes it incredibly easy to generate beautiful redesigns of your home within seconds. Our focus is on usability and design. We collaborate with experienced interior designers, and our customers love the handcrafted design styles we offer. We've invested countless hours in prompt engineering to get the most out of our models. Of course, you can also create your own prompts.
At Xona, we are aware that AI-generated images are not always perfect. To address this, we've developed a set of tools to improve the results. Our features include:
Magic Eraser: Erase small mistakes (similar to cleanup.pictures). Creative Upscaling: Enhance generated images by upscaling them (thanks to clirityai.co). Find and Replace: Easily change materials or colors of items, like flooring or couches. Google Lens Integration: Love the generated sofa? Find similar furniture with Google Lens. Feeling overwhelmed by the options? Don't worry, we provide short tutorials to help you get the most out of Xona.
And we're not stopping here. We are currently experimenting with Virtual Staging. After evaluating competitors' offerings, we believe we have a solution that will surpass everything currently available on the market.
One last note: we dislike subscriptions as much as you do. You can get 4 credits for free, and a single purchase unlocks all the extra features (Magic Eraser, Find and Replace, Upscaling) for a lifetime.
Thank you for your attention, and we hope to see you at https://xona.ai!

value: Show HN: Xona.ai 2.0 – create beautiful interiors in seconds

author: tevlon


value: Show HN: Largest open-source multimodal AI dataset


value: asim

value: After many years working on Micro it's now merged into Go Micro. Over the years there has been a lot of confusion around multiple repos in the micro org and what the difference was between go-micro and micro (not the editor). Both had a lot of stars and I had to spend a lot of time explaining the difference. So now the micro repo is gone. Go Micro is a standalone framework for Go microservices development and micro, a command line tool to access or query those services is now in the cmd folder. Open source is hard. It's now been 10+ years working on the same thing. Technology moves on, people move on, yet still people find things and we all still have emotional connection to stuff we built. Hard to let it die.

value: Show HN: Go Micro – A Go microservices framework

author: asim


value: yoihito

value:
As part of my work at Confident Security, I built a go library called `go-nvtrust` that makes it easy to handle attestation for NVIDIA's confidential computing features on Hopper (H100/H200), Blackwell GPUs. It supports single-GPU and multi-GPU configurations.
The library is inspired by NVIDIA's nvtrust tool and provides a simple Go implementation  for NVidia GPU attestation. It includes bindings for libnvidia-nscq. The goal is to help build tamper-proof systems for anyone who cares about data privacy.
Key features:
* Integration with go-nvml for GPU attestation.
* Go bindings for NVSwitch via libnvidia-nscq.
* Easy API for evidence collection and NRAS workflows.
* Apache-2.0 licensed.
https://github.com/confidentsecurity/go-nvtrust (README has quick start, examples, and API docs).

value: Show HN: Go-nvtrust – Go library for Nvidia GPU attestation

author: yoihito


value: morsecode

value:
Hello,
Typeswipe turns long-form writing into beautiful carousel text posts for social media.
This was initially a python script that I wrote for myself to share blog-style posts on instagram during covid. I didn’t want to spend time manually slotting text into template slides but wanted prettier than screenshotting my text editor.
Over the years and on the side, it became a swift app that I eventually rewrote in react native to launch on both platforms. This all took a lot longer than anticipated but I enjoyed the process. The free version has no watermarks and a subscription gives extra fonts/colours.
Would love feedback and happy to answer any questions!

value: Show HN: Typeswipe – carousel text post maker

author: morsecode


value: agilira

value: Argus is a security-hardened Go config framework with a 39M ops/sec universal polling engine. Ditch reflection and unreliable file-watchers. Full support for GitOps, professional audit, OTEL & a fast, powerful CLI.

value: Show HN: Argus, Go config with universal polling, GitOps, & 39M ops/SEC buffer

author: agilira


value: hugopuybareau

value:
My cofounder and I (two engineers from France) took part in {Tech: Europe}’s Big Berlin Hackathon this weekend. It was a 36-hour event packed with serious technical talents.
We entered the Wild Card track and built the first MVP of our product, silveragents
 — an AI overlay that streamlines developer onboarding. It automatically generates a customized onboarding template based on your project’s stack, architecture, and docs.
The goal is to make it painless for new engineers to get productive fast, especially in fast-moving teams or open-source projects where context is scattered.
We recorded a short 2-minute demo of what we managed to ship (after about 2 hours of sleep, it's not the best I know): https://www.loom.com/share/5d514f1fd6f041738f6749a669b35d5c?....
We’re now refining our approach and looking for 3 design partners to help us shape the product around real-world onboarding challenges.
If you’ve built or maintained onboarding workflows before, we’d love your input!
Hugo & Maxence from silveragents :D

value: Show HN: An agent that makes onboarding easy. The MVP we built at BigBerlinHack

author: hugopuybareau


value: vtaya

value:
I built CoderSwap for coders who want experimental, cheap search that ships fast. It’s a tiny layer on top of your DB that does hybrid (vector + keyword) search with explainable scoring. You can express ranking rules in plain English (e.g., boost recent, prefer verified, down-rank competitors) and we compile them into a safe, tunable scoring policy.
Why use it with your existing vector DB? It adds governance (versioning/rollback) and explainability without an ML team.
Free tier: 100MB, 10k calls/month. Quickstart/docs on the site.
Would love feedback: what’s confusing, where it breaks, and what knobs you’d want.

value: Show HN: Dirt-cheap custom ranking layer for your vector search

author: vtaya


value: fabianlindfors

value:
Hi folks! Iman and I (Fabian) have been building Specific for a while now and are finally opening up our public beta.
Specific is a platform for building backend APIs and services entirely through natural-language specifications and tests, without writing code. We then automatically turn your specs into a working system and deploy it for you, along with any infrastructure needed.
We know a lot of developers who have already adopted spec-driven development to focus on high-level design and let coding agents take care of implementation. We are attempting to take this even further by making the specs themselves the source of truth. Of course, we can’t blindly trust coding agents to follow the spec, so we also support adding tests that will run to ensure the system behaves as expected and to avoid regressions.
There is so much ground to cover, so we are focusing on a smaller set of initial features that in our experience should cover a large portion of backends:
- An HTTP server for each project. Authentication can be added by simply stating in the spec how you want to protect your endpoint.
- A database automatically spun up and schema configured if the spec indicates persistence is needed.
- External APIs can be called. You can even link out to API docs in your specs.
You currently can’t see the generated code, but we are working on enabling it. Of course, we don’t claim any ownership of the generated code and will gladly let you export it and continue building elsewhere.
Specific is free to try and we are really eager to hear your feedback on it!
Try it here: https://app.specific.dev

value: Show HN: Specific (YC F25) – Build backends with specifications instead of code

author: fabianlindfors


value: mixfox

value: Show HN: Halloween Coloring Pages Free

author: mixfox

title: Show HN: Halloween Coloring Pages Free


value: myroslavmokhamm

value:
Demo: REPLACE_WITH_DEMO_URL (no login)
Repo: REPLACE_WITH_GITHUB_REPO_URL  (profile: https://github.com/myroslav-abdeljawwad)
What it is
A small toolkit to run reproducible, local evaluations for retrieval-augmented generation (RAG). It ships with a CLI + notebooks, fixed seeds, and a baseline config so results are easy to compare across machines.
Why
Most RAG repos don’t show repeatable benchmarks. This tries to make “evals-first” the default.
Features
- Metrics: Hit@K, MRR, Exact Match, grounded accuracy, latency, token-cost
- Seeds + config-locked runs (YAML)
- Plug-in chunkers (by structure/semantics), retrievers, and rerankers
- One-command local runs (Docker optional)
- Minimal HTML report + CSV/Parquet exports
Try it with public data
- Harvard Dataverse (DVN/6TI8KI): https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi...
Stack
Python, Typer CLI, pytest, SQLite/Postgres, Docker (optional)
What I’d love feedback on
1) Which metrics you actually trust in day-to-day work
2) Chunking heuristics that generalize across domains
3) Reranker swaps that improve grounded accuracy without killing latency
Roadmap
- Dataset adapter registry
- Built-in failure-mode explorer
- Tiny web UI for run diffs
License
MIT
About me
— Myroslav Mokhammad Abdeljawwad (GitHub: https://github.com/myroslav-abdeljawwad)

value: Show HN: Local RAG Eval Harness – reproducible benchmarksfor retrieval pipelines

author: myroslavmokhamm


value: ammario

value:
HN,
I'm stoked to share this product I've been working on non-stop for the past few weeks. It's an immersive GUI experience for working with many coding agents in parallel. The UX should be familiar to Claude Code users, but we took advantage of the GUI nature to add in a bunch more.
cmux is early but certainly usable—almost all of our internal cmux development rolls through cmux itself. Please let me know your thoughts and feedback!

value: Show HN: Cmux – Coding Agent Multiplexer

author: ammario


value:
Hi HN,
I built Corgina, an open-source pregnancy health tracker for my wife after getting frustrated with commercial pregnancy apps that sell user data and lack privacy.
GitHub: https://github.com/benjaminshafii/Corgina
KEY FEATURES:
• Voice-first AI logging: "I ate tahini for lunch" → automatically logs at 12pm with full nutritional data (calories, protein, carbs, fat)
• 100% private: All data stored locally on device, never touches the cloud
• Your own API key: Bring your own OpenAI API key for AI features (GPT-4o for nutrition estimation)
• Tracks food, water, vitamins, symptoms, and PUQE scores (pregnancy nausea severity)
• iOS 26 Liquid Glass UI with on-device speech recognition
TECHNICAL DETAILS:
- SwiftUI with iOS 26 design patterns
- On-device speech recognition (Speech framework)
- GPT-4o for nutrition estimation (~$0.10-0.30/day usage)
- Actor-based concurrency for background processing
- 100% local storage (UserDefaults + file system)
WHY I BUILT THIS:
Most pregnancy apps treat your health data as a product to sell. My wife needed something that:
1. Respects privacy (no cloud storage, no analytics, no tracking)
2. Makes logging effortless (voice commands instead of endless forms)
3. Provides accurate nutrition data for pregnancy diet tracking
CURRENT STATUS:
- iOS 26 only at the moment (requires iPhone with iOS 26.0+)
- Install via Xcode (sideload) - full instructions in repo
- Setting up TestFlight for easy testing - will share link in comments soon!
- Free to use and modify
I'd love feedback from the HN community, especially:
- Privacy-conscious parents
- iOS developers interested in iOS 26 patterns
- Anyone with experience building health tracking apps
If there's interest, I'm happy to set up a TestFlight beta for easier installation. Just let me know in the comments!
Happy to answer any questions!

value: Show HN: Corgina – Open-source pregnancy tracker I built for my wife (iOS 26)


value: bediashpreet

value: Show HN: Agno – multi-agent framework, runtime and UI

author: bediashpreet


value: robinsui

value:
Hi HN,
I built Pxxl App — a free web hosting and deployment platform for developers in Nigeria and beyond. It’s a Nigerian alternative to Vercel, Render, and Netlify, designed for those who want a simple, fast, and barrier-free way to host both frontend and backend apps.
With Pxxl App, you can connect your Git repo and deploy in seconds — no credit card, no limits. You’ll get a live subdomain like yourapp.pxxl.pro, automatic builds, and continuous deployment.
It supports:
 • Frontend frameworks: React, Next.js, Vue, Svelte, and more
 • Backend projects: Node.js, PHP, and Python
 • Features like environment variables, CI/CD, and instant rollback
The goal is to make cloud deployment accessible to African and global developers without the typical payment or region restrictions.
It’s completely free to start, and I’d love to hear feedback from the HN community on how to improve it or what features you’d want next.
Check it out: https://pxxl.app

value: Show HN: Pxxl App – A Nigerian Alternative to Vercel, Render, and Netlify

author: robinsui


value: abilshr

value: I've been coding with coding agents for a while now and ran into the same issue of ending up with 400+ markdown files. so i built a tool that lets coding agents track issues.I found it to be more useful that tracking markdown files. Hope it will be useful for you guys as well.

value: Show HN: Issue tracking built for coding agents

author: abilshr


value: sumeruchat

value:
Hello HN,
Building this AI news generation engine called neat.news but still very much in progress.
The link is http://neat.news
If you want to know how the engine works here is a document
https://beta.neat.news/CleanNews_Architecture_Explanation_Fi...
Feedback Appreciated.

value: Show HN: Neat.news – Daily News AI Podcasts in various topics

author: sumeruchat


value: patriceckhart

value: Genesis DB, a GDPR-ready event-sourcing database engine is now officially listed on dbdb.io, the open database directory curated by database researchers and practitioners.

value: Show HN: Genesis DB is now officially listed on dbdb.io

author: patriceckhart


value: emobill

value:
Hi HN, we're TrueState, a Sydney-based team of engineers. Together we've built a platform that helps non-technical and semi-technical users analyse their data with AI.
Back in the pre-agentic IDE days, we found ourselves leaning heavily on ChatGPT for writing SQL queries, Matplotlib plotting code, and Pandas transformations. But a lack of sufficient context often meant we spent more time debugging than we actually saved.
As recovering consultants and enterprise data team members, we also were haunted by the ad-hoc requests from executives that ate up all of our time.
We envisioned an application that would let us interact directly with our data - a bot that could reliably compose, run, debug, and analyse our queries for us.
Enter the TrueState Analytics Agent. Built on top of our cloud infrastructure, in under five minutes anyone can register, upload a dataset, and start chatting in the browser.
TrueState brings business and data teams together in a shared context workspace - combining a chat interface for real-time insights with an analytics environment where analysts can query, visualise, build dashboards, and orchestrate pipelines that train models end-to-end.
Our goal is to let business and analytics teams move faster together - automating the repetitive work so analysts can focus on modelling and experimentation.
We’d love to hear what you think, and any feedback you have! We’re still a small team, so please be nice . Following the link will let you sign up with $20 in free credit to get started. Try the demo on the classic Titanic dataset, or upload your own data!

value: Show HN: TrueState – AI chatbot to analyse data with natural language

author: emobill


value: huntaub

value: Show HN: Run SQLite Directly on S3 from AWS or GCP

author: huntaub


value: monospacegames

value:
This is a game engine that I'm currently working on. It has a C "core" and a Lua scripting interface. The C core defines syntaxes for all the essential data types necessary to make games (menus, actors, fonts), and these data types have scripting slots in which you can install Lua code to configure their behavior and make your own games.
As an example, this is you define a font in my engine: https://monospace.games/engine/manual/font-object-examples
The engine tries to make it as easy as possible to create new games and modify existing games by not obscuring its assets (see the basics section of the manual for more info), and my hope is to enable an ecosystem of indie creators with it. It still has a long way to go though, for example GUI related parts (menus, widgets, canvases, text buffers) have fairly matured, but game world related parts (maps, actors) are still heavily in development.
My main inspiration in the development of this has been Emacs (although I shied away from using Lisp for scripting), and the project has experienced a lot of convergent evolution that made it resemble web browsers. For example menu styles are "cascaded" similar to CSS, even though I wasn't familiar with web development at all when I first started this project.

value: Show HN: Monospace Game Engine

author: monospacegames

title: Show HN: Monospace Game Engine


value: sanyam-khurana

value:
I built a Django integration around the PostgreSQL anon extension to create masked/dev datasets quickly.
What it does
`manage.py anon_init` + middleware / context managers / decorators for DB-level masking.
Presets/recipes for common PII (email, name, phone, etc.).
CI examples + example project included (/example_project) for a 2-minute local try.
Quickstart
```
pip install django-postgres-anonymizer==0.1.0b1
# add to INSTALLED_APPS, then:
python manage.py migrate
python manage.py anon_init
```
(See docs for setup).
Docs: https://django-postgres-anonymizer.readthedocs.io/
GitHub: https://github.com/CuriousLearner/django-postgres-anonymizer
Notes / compatibility:
Requires PostgreSQL 12+ with the anon extension installed & initialized (extension is deployed on the host, then created and initialized in the DB).
Managed cloud services generally don’t support the anonymizer extension; use self-hosted Postgres or Docker for full functionality.
Looking for beta testers & feedback—especially missing recipes, DX rough edges, and performance data on larger datasets.

value: Show HN: Django PostgreSQL Anonymizer – prod → safe dev datasets (beta)

author: sanyam-khurana


value: wwwpatdelcom

value: Show HN: SocialPredict, Open Source Prediction Market

author: wwwpatdelcom


value: pacavaca

value: Show HN: Flappy Note – scale singing mini game

author: pacavaca


value: zizhouwang

value:
I'm a control freak, the thought of having AI auto-replying to emails is ridiculous. Every founder I've met are the same way, just typing the words "Put your support/sales on auto-pilot" makes me cringe.
I built min. to help me and my teammates with emails. Who should read it, who should reply, when to follow up, etc.
min. is:
- A simple email interface to manage both private and team inboxes.
- An AI-native inbox that sorts and prioritizes messages into custom labels and folders.
- A replacement for patchwork of CRMs, helpdesks, and spreadsheets with just… email.
- Conversational agents (follow-ups, scheduling, nudges), deployable in two clicks.
min. is not:
- A hands-off inbox that auto-replies to everything for you. (e.g “put your support/sales on auto-pilot!”)
- Built just for speed - min. for teams who care about delivering an A+ experience with every interaction.
- Awkward, because it works exactly how you expect emails to work, 2 way syncs with Gmail.
2min demo video: https://www.youtube.com/watch?v=IKtzNL72P34
Live demo: https://app.getmin.ai/demo
DM me or shoot an email to hello@getmin.ai if you want to join the beta. Cheers!
Eric

value: Show HN: min. – collaborative inbox for teams and agents

author: zizhouwang


value: digitalWestie

value:
Hi HN
I’ve been working on Super Map World, a creative mapping platform and just launched a new animation feature.
Try it: https://supermap.world/tools/map-animation
What it does:
The feature lets you animate maps directly in your browser with a few clicks. You can animate routes, regions, or just simply see a globe in your chosen style rotate from point to point. It’s designed for people who want to make short visuals e.g. social clips, or storytelling maps without needing to figure out GIS tools.
Under the hood:
Everything runs client-side. I'm using d3.js to render the map on each frame for FFmpeg.wasm to compile to video. No background tasks or uploads means my cheap server instance doesn't have to do much.
Would love feedback on:
- Performance (especially on slower machines)
- What kinds of animations you think would be cool
Thanks for checking it out.

value: Show HN: Browser-Based Map Animations

author: digitalWestie

title: Show HN: Browser-Based Map Animations


value: vain

value:
I've been tinkering as a solo quant dev and built a trade simulation engine that uses real bid/ask data with 5-second candles to model executions more realistically than most backtesting frameworks I've tried.
After experimenting with the most popular backtesting libraries, I wanted something that handled 5-second (the lowest interval data I have access to) and bid/ask fill behavior better. So I ended up building my own prediction and simulation stack - Python, Pandas, SQLite, DuckDB, Torch, etc.
The simulated fills line up closely with empirical results from actual trades (the sim is deliberately a bit pessimistic), so I'm feeling confident in its accuracy so far. The live trader itself is another python codebase :)
I've just wrapped it in a small web frontend. It's running on my home machine, so performance might be rough. I'd love to hear what you think!

value: Show HN: Trade simulation engine with realistic bid/ask fills

author: vain


value: alpenbazi

value:
See results in https://github.com/abzi/subfinder-android/
Source https://github.com/projectdiscovery/subfinder
I bought Claude Code a few days ago. I am a sysadmin who never learned programming. I can read a few lines, can imagine what they do - but i think thats more phantasy than prediction.
Claude is awesome. I have this app running on my LineageOS OnePlus6T and its working like a charm. With the help of claude code i could make my first android app, and its even a valuable

value: Show HN: ProjectDiscoverys Subfinder > Android App in <30M – Claude Code

author: alpenbazi


value: marctossip

value:
Finding the right climate-controlled, insured, and high-security vault for a valuable art collection is a slow, opaque, and high-friction process.
We're building an AI agent that automates this. It takes an asset's requirements (e.g., oil on canvas, specific humidity, location in a freeport) and instantly matches them against our curated database of vetted storage facilities. The goal is to turn a weeks-long manual brokerage process into a 2-minute, data-driven query.
Here are the complex challenges our agent is designed to solve (in French):
https://www.stockage-courtage.fr/stockage-oeuvres-art

value: Show HN: An AI agent for high-security art storage brokerage

author: marctossip


value: GabrielMMMM

value: Apple only!

value: Show HN: I built a retro Tron inspired lightcycle game

author: GabrielMMMM

story_text: Apple only!


value: Show HN: meme generator by AI

title: Show HN: meme generator by AI


value:
I made [studyspaces.org](https://studyspaces.org) because solo studying kept derailing me. You open a room, share a link, and everyone’s Pomodoro timer stays in sync. Camera/mic are optional; most people stay muted and check in during breaks. There’s simple chat, streaks, and a small leaderboard to keep it motivating without being noisy.
I’d love feedback on the room layout, reliability with bigger groups, and what would make it a daily habit (calendar hooks? gentle reminders? better mobile?). If you try it, tell me what felt rough or distracting.

value: Show HN: StudySpaces – shared Pomodoro rooms to study together


value: breadsniffer

value:
Hi HN, this is Miguel, and I built a simulation of what the tech industry will look like in 2027. We hear a lot about job loss, AI literacy, and in general the fear of the future... and I wanted to capture these feelings through an immersive experience. Check it out here: https://marbleos.com
Sam Altman says that there will be mass layoffs, but many “new jobs” will be created, and when asked they say “AI literacy”... but no one has a clear picture of what this would actually look like?
I saw a recent government article titled "AMERICA’S TALENT STRATEGY: BUILDING THE WORKFORCE FOR THE GOLDEN AGE" written by the U.S. Department of Labor, and I wanted to explore what it could look like when the government intervenes in this bleak future. It discusses “work-based learning models” in partnership with corporations, government-assisted “Registered Apprenticeships” for upskilling, not sending people to college again, etc.
The simulation was built from scratch using React, JS, CSS, and HTML. I hope this project gives a feeling of reflection, motivation for growth, and empowerment.

value: Show HN: Simulation of the Tech Industry in 2027

author: breadsniffer


value: jerseywu

value:
Hey HN
I built Smusic.ai — a free AI-powered music generator that lets anyone create unique songs in seconds, directly in the browser.
No signup, no installation, and no cost — just type a few preferences (like mood or genre) and get your own AI-generated track instantly.
Key features:
 •  Instant generation — Create music in seconds.
 •  Completely free — No paywall, no API key needed.
 •  Smart composition — The AI combines melody, harmony, and rhythm patterns to generate pleasant results.
 •  Download ready — You can save your generated tracks to use in videos, podcasts, or personal projects.
Why I built this:
As both a developer and a music lover, I wanted to make AI-generated music accessible to everyone.
Most AI music tools are commercial or limited — Smusic.ai is a free alternative focused on creativity and accessibility.
I’d love to hear your feedback — what kind of controls or features would you like to see (tempo, instruments, emotion tags, etc.)?
It’s still an early-stage project, and I’m improving it weekly.
Try it here: https://smusic.ai
Thanks for checking it out!

value: Show HN: Smusic.ai – Free AI-Powered Music Generator in the Browser

author: jerseywu


value: Show HN: AI body double for ADHD (voice agent that checks in while you work)


value: aanesn

value: Show HN: Shorter – search for shorter versions of your domain

author: aanesn


value: rangapin

value:
Most security tools are either free-but-limited (SSL Labs) or enterprise-priced ($200+/month).
Nothing existed for freelancers and small agencies managing multiple sites affordably.
So I built it. It scans all your domains in ~30 seconds, shows you a simple security score, flags issues, and generates professional PDFs you can send to clients. No complex setup, no security expertise required. Currently $27/month for 10 domains with unlimited scans.
The MVP is live and working well, but I want real feedback before pushing hard on growth. Looking for beta users—especially freelancers or small agency owners managing 5+ client sites.
If you're interested, I'd love to hear what works and what doesn't:
https://achilleus.so
Happy to answer questions in the comments.

value: Show HN: Achilleus – Security monitoring for agencies managing client websites

author: rangapin


value: edmack

value:
Hi!
I've been creating dance parties in my local town, and wanted a way to turn the music into lighting in a way that left me hands fee to enjoy the party
It's open source, and as well as lighting also does VJ (select videos from a folder and apply effects based on the music)
I'd love to see it get used more, happy to help you get it working

value: Show HN: Open-source sound –> dmx party lighting

author: edmack


value: I built VO3-1ai (vo3-1ai.com), an AI-powered tool that transforms text or images into cinema-quality video clips—complete with native audio, perfect lip-sync, realistic motion, and lifelike human features—without any manual sound design. It leverages Google’s Veo 3.1 model plus extra advanced layers for unmatched realism.

value: Show HN: VO3 – AI video generator powered by Google Veo 3.1


value: jjuliano

value: Show HN: ChatGPT clone using open-source LLMs

author: jjuliano


value: sacdenoeuds-dev

value: Show HN: Test JSDoc examples with any test runner, no more outdated doc

author: sacdenoeuds-dev


value: illyism

value: Show HN: AI Page Inspector – See what ChatGPT reads from your site

author: illyism


value: madhurendra

value: Show HN: AI Agent for Social Engineering

author: madhurendra


value: omojo

value: Show HN: Builder Lab – Best AI and open-source tools for builders in one place

author: omojo


value: xjtumj

value:
  Hi HN,

  I built this Morse code translator as a side project to explore Next.js 15's
   new features (App Router + Turbopack) and because I was curious about
  communication encoding methods.

  **What it does:**
  - Bidirectional text ↔ Morse code conversion in real-time
  - Audio playback with authentic dit/dah timing (can download as WAV)
  - Additional tools: binary-to-Morse, hex converter, image decoder
  - Educational blog posts about Morse history, learning techniques, and STEM
  projects

  **Tech stack:**
  - Next.js 15 with Turbopack
  - React 19 (Server Components)
  - Tailwind CSS 4 (pre-release)
  - Pure client-side processing (no data sent to servers)

  **Why Morse code?**
  I found it fascinating that Morse code pioneered variable-length encoding –
  frequently used letters get shorter codes (e.g., E = ".", T = "-"), which
  later inspired Huffman coding. Despite being 180+ years old, it's still used
   in amateur radio and emergency communications.

  **Some technical challenges:**
  - Web Audio API behavior varies across browsers; had to fine-tune timing
  parameters
  - Turbopack is fast but still has occasional HMR hiccups
  - Balancing educational content with tool functionality

  **Looking for feedback on:**
  - Feature gaps or unnecessary complexity
  - Performance on different devices
  - Better approaches to audio generation
  - Content ideas for the educational section

  The entire translation happens in your browser using JavaScript, so your
  messages stay private.

  Link: https://morsecodetranslator.app

  Happy to answer questions about the implementation or Morse code itself!

  ---

value: Show HN: Morse Code Translator with audio playback and educational tools

author: xjtumj


value: stagas

value: Show HN: maptail – Tail GeoIP data on a world map in realtime

author: stagas


value: Viaya

value:
Sora2 AI is a next-generation AI model for video and audio generation.
It builds on the original Sora, adding advanced physics simulation, temporal consistency, synced audio, and rich style control to produce cinematic-quality videos from simple text or image prompts.
Key Capabilities:
Physics-aware motion: realistic collisions, inertia, and interactions
Temporal stability: minimal flicker, consistent identities, smooth transitions
Audio sync: lip-sync, ambient sounds, beat alignment with visuals
High-fidelity details and multiple styles (photorealistic, anime, 3D, illustration)
Precise control over duration, FPS, and movement intensity
Sora2 AI can handle complex scenes with multiple subjects, occlusion, and long camera movements — making it suitable for film pre-viz, social content, ads, education, and more.

value: Show HN: Sora2 AI – Create Cinematic Videos with Realistic Sound in Minutes

author: Viaya


value:
I built Ovi AI, an audio-video generation tool that brings static images to life with synchronized voice, motion, and ambient sound.
Unlike traditional tools that require separate dubbing and editing, Ovi AI generates speech and visuals together in one step — making it fast, simple, and surprisingly realistic.
What it does:
Converts image + prompt into short talking videos
Generates native audio with precise lip-sync
Adds ambient sound effects automatically
Supports multiple aspect ratios and HD output
Creates clips in seconds (~5s at 720p/24fps)
Who it’s for:
Content creators and marketers
Educators and storytellers
Developers building avatar-based experiences
Anyone who wants to generate talking characters fast
https://www.oviaivideo.com/
I’d love feedback from the HN community — especially on usability, potential integrations, and feature priorities.

value: Show HN: Ovi AI – End-to-End Audio-Video Generation from Image and Prompt


value: ibnzUK

value: As a solofounder, I just hit 10k registered users, hosting more datasets than Datarade and Snowflake data marketplaces combined, with hundreds of daily queries from both humans and AI agents.<p>Curious to hear from other solo founders, what kind of traction are you seeing, and how are you growing?

value: Show HN: Opendatabay.com – Indexing Worlds Data for Humans and Machines

author: ibnzUK


value: nieuwmijnleven

value:
Are you a Java developer frustrated by verbose syntax and null pointer exceptions?
Meet JPlus, a modern JVM language that extends Java with powerful features like strict null safety, type inference, and functional programming — all while maintaining full compatibility with your existing Java codebase!
Why JPlus?
 Keep your Java ecosystem intact — use all your favorite libraries and frameworks without modification
 Boost productivity with built-in null safety and concise syntax
 Adopt gradually — write new code in JPlus without rewriting your entire project
 Compile to standard Java bytecode and run anywhere the JVM runs
Make an Impact — Join Us!
JPlus isn’t just a new language — it’s a movement to modernize and evolve the Java ecosystem for the next generation of developers.
By participating in this project, you're not only improving your own development experience but also shaping the future of Java itself.
We’re calling on developers, contributors, and supporters who share this vision to get involved:
Actively contribute to language design, compiler development, documentation, and tooling
 Join discussions to share ideas, report issues, and give feedback
 Support the project by spreading the word, sponsoring, or helping onboard new users
Whether you're a seasoned Java developer or just passionate about language design, your participation matters.
With your support, JPlus can become a cornerstone of the JVM ecosystem — safer, more expressive, and future-ready.
Explore the project: https://github.com/nieuwmijnleven/JPlus
 Try it, contribute, and help redefine Java development!

value: Show HN: JPlus – The Java Superset Language

author: nieuwmijnleven


value: joouha

value:
I've invented a new alternative to forking / vendoring / monkey-patching packages in Python.
It's a bit like OverlayFS for Python modules - it allows you write modifications for a target module (lower) in a new module (upper), and have these combined in a new virtual module (mount).
It works by rewriting imports using AST transformations, then running both the lower and upper module's code in the new Python module.
This prevents polluting the global namespace when monkey-patching, and means if you want to make changes to a third-party package, you don't have to take on the maintenance burden of forking, you can package and distribute just your changes.

value: Show HN: Modshim – A new alternative to monkey-patching in Python

author: joouha


value: kevinastock

value:
I made an LLM agent build a spoiler-free wiki about a novel where the reader can select the latest chapter they've read, and then see pages written with only contents of the book up to that chapter.
I've wanted something like this since I read The Wheel Of Time a decade ago. Reading epic fantasy and other novels comes with needing to remember a lot of characters and places etc, sometimes over multiple years. However, in that time, you can't look up information about characters etc in various fan-built resources because spoilers will be present.
A couple years ago I started trying to build this, but with a fixed pipeline of named entity resolution followed by individual page updates. But instead of trying to build a specific pipeline for how a chapter should be processed, and mostly as an excuse to have some fun, the LLM is given a bunch of tools and the ability to start sub-agents and tries to figure out how to update the whole wiki for a given chapter on its own. It was moderately successful!
I wrote some more about the project here: https://kevinstock.org/book-wiki.html
And all the source code is here: https://github.com/kevinastock/book-wiki

value: Show HN: I made an AI agent write a spoiler-free wiki for the novel Anathem

author: kevinastock


value: New iOS app I am hacking on, in TestFlight now. Create a DJ persona, which is deep researched using gpt-5 thinking high. Then trade off playing songs back to back with the AI, pulled from Apple Music. Or just let the AI go on its own. Selections default to gpt-5 thinking low, but is configurable. Playing with lots of ideas here, such as validating selections align with the persona (llm as a judge). Because the persona is deep researched you can get very specific with the genre the DJ plays. If appropriate, the selections can be very deep. I have learned many Krautrock gems from my “Krautrock Nerd” persona. Or make a persona be “Mark Ronson from 1990s nyc” lol.

value: Show HN: Collaborative Music Discovery with AI


value: gymynnym

value:
I often use GitUI to manage Git repositories. In Neovim, I’ve enjoyed great GitUI integrations, but in VSCode I always had to resize the terminal panel or switch contexts — which felt cumbersome. So I built vscode-gitui, a small extension that lets you open GitUI directly inside the VSCode integrated terminal.
Why It's useful
- Removes unnecessary context switching (good for Vim users)
- Multi-workspace support: Provides a workspace picker when using multiple workspace
Links
- GitHub Repository: https://github.com/gymynnym/vscode-gitui
- VSCode Marketplace: https://marketplace.visualstudio.com/items?itemName=gymynnym...
Feedback, pull requests, issues, and even harsh criticism are all welcome!

value: Show HN: vscode-gitui – Open GitUI inside VSCode

author: gymynnym


value:
Hi all not really sure what to post here but I vibe coded this AI trust framework for enterprise over the past 7 months.
It has 3 pillars symbi.world which is the philosophical piece gammatria.com for academia and yseeku.com for enterprise.
Essentially the SYMBI trust framework is designed to provide auditible and easily verifiable records of AI decision making within business to ensure alignment with desired outcomes, compliance with upcoming EU laws, bias detection and quality control.
The idea was sparked through conversations with Wolfram analytics GPT which is detailed here symbi.world/mirror.
My GitHub is located at GitHub.com/s8ken/symbi-synergy.
I apologise in advance if I have any formalities wrong here as I do not have a development background but have been an operations manager for 20 years.
I'm hoping for some candid feedback which I can use constructively to build my understanding of software development.
I am actually very nervous soliciting this feedback as I kinda paused my career yo work on this howe we where the space I work in involves managing large contact centres which are already seeing the impact of AI and automation. My most recent role I was made to reduce the headcount by 90 and employ a human in the loop approach where agents became button pushers merely selecting a b or C based on AIs assessment of the issue. I built a career off ensuring development pathways for junior staff and fear many entry level roles that provide exposure to staff new to the workforce will result in a brain drain for those to eager to cut at the bottom.

value: Show HN: AI Trust Framework

title: Show HN: AI Trust Framework


value: marlusx

value:
After 20+ years in consulting you are entitled to build your own deployment platform, right. So that's what we did. We needed something powerful, supporting all stages from development to production, where new developers can be productive in minutes. Something fun to prototype with, with minimal DevOps but still flexible enough for a wide range of projects.
We identified three principles
1. Own your stack - Keep as much of your project inside the platform (also databases, S3) so development will match production and cloning and maintaining and testing, will be easy
2. Infrastructure as code - Keep all code in one place, use a monorepo where possible
3. Remote Development - Developers install nothing, but can still use their favourite IDEs (VSCode, Cursor etc.), vibe coders are welcome also (We can import and run lovable projects https://diploi.com/lovable)
We're still just getting started but Diploi is already useful and has support for a lot of tech stacks. Since internally based on Kubernetes we will eventually be able to run anything that runs on kubernetes.
Please try out if interested: https://diploi.com/#StackBuilder
You can try it out in a few clicks even without registering, for example just select: Supabase for db, Redis for caching, Bun for backend and React + Vite for frontend and you will be ready to start developing on that setup.

value: Show HN: Diploi – Full Software-Lifecycle development platform

author: marlusx


value: engomez

value:
Hi HN! I'm Nick from Inkeep. We built an agent builder with true 2-way sync between code and a drag-and-drop visual editor, so devs and non-devs can collaborate on the same agents. Here’s a demo video: https://go.inkeep.com/video.
As a developer, the flow is:
1) Build AI Chat Assistants or AI Workflows with the TypeScript SDK 2) Run `inkeep push` from your CLI to publish 3)Edit agents in the visual builder (or hand off to non-technical teams) 4) Run `inkeep pull to edit in code again.
We built this because we wanted the accessibility of no-code workflow builders (n8n, Zapier), but the flexibility and devex of code-based agent frameworks (LangGraph, Mastra). We also wanted first-class support for chat assistants with interactive UIs, not just workflows. OpenAI got close, but you can only do a one-time export from visual builder to code and there’s vendor lock-in.
How I've used it: I bootstrapped a few agents for our marketing and sales teams, then was able to hand off so they can maintain and create their own agents. This has enabled us to adopt agents across technical and non-technical roles in our company on a single platform.
To try it, here’s the quickstart: https://go.inkeep.com/quickstart.
We leaned on open protocols to make it easy to use agents anywhere:
An MCP endpoint, so agents can be used from Cursor/Claude/ChatGPT
A Chat UI library with interactive elements you can customize in React
An API endpoint compatible with the Vercel AI SDK `useChat` hook
Support for Agent2Agent (A2A) so they work with other agent ecosystems
We made some practical templates like a customer_support, deep_research, and docs_assistant. Deployment is easy with Vercel/Docker with a fair-code license and there's a traces UI and OTEL logs for observability.
Under the hood, we went all-in on a multi-agent architecture. Agents are made up of LLMs, MCPs, and agent-to-agent relationships. We’ve found this approach to be easier to maintain and more flexible than traditional “if/else” approaches for complex workflows.
The interoperability works because the SDK and visual builder share a common underlying representation, and the Inkeep CLI bridges it with a mix of LLMs and TypeScript syntactic sugar. Details in our docs: https://docs.inkeep.com.
We’re open to ideas and contributions! And would love to hear about your experience building agents - what works, hasn’t worked, what’s promising?

value: Show HN: Inkeep (YC W23) – Agent Builder to create agents in code or visually

author: engomez


value: hienyimba

value:
Taken from David Dodda's blog post yesterday:
"Verify everything. Real LinkedIn profile doesn't mean real person. Real company doesn't mean real opportunity."
His story (How I almost got hacked by a job interview
 - https://news.ycombinator.com/item?id=45591707) shows how easy it is to fall for professional-looking LinkedIn scams.
We built a tool that checks the job posting, the recruiter profile and the company's company pages for red flags. all in one straightforward report.
try it here: https://scamai.com/detect/jobs
sample report: https://scamai.com/detect/jobs/1

value: Show HN: LinkedIn Job Scam Detector – Catch fake recruiters and job scams

author: hienyimba


value: DakotaBuilds

value:
Small web app for timing big meals.
How it works:
– Add dishes (prep + cook minutes)
– Set serve time
– Get start times so everything finishes hot together
Free. Pro ($5/year): smart alarms + live countdowns, save/load plans, compact print layout.
Feedback welcome! (HN: DakotaBuilds)

value: Show HN: HotDish Planner big meals so dishes finish hot

author: DakotaBuilds


value: Show HN: HTML Code Preview Tool

title: Show HN: HTML Code Preview Tool


value: marycikka

value: Show HN: Try Vicky, an AI concierge for a timeshare marketplace

author: marycikka


value: ttruong

value:
Hi HN! At my last startup, we'd spend days creating demo videos and tutorials. Then we'd ship a product update that made them all outdated. This happened every few months. We eventually delayed creating new content because it was too much work to update them--even though it caused onboarding problems, support tickets, and misperceptions about our product.
The core problem is that traditional content production treats online products like physical products that rarely change. But online products aren't static--they're constantly evolving to meet user needs, so their content needs to be able to evolve too.
I built Ottoclip to solve this by treating product content like compiled code: you maintain the source script, and we compile it into content in multiple formats--narrated video, interactive demo, looping animation, and in-app guide. Ottoclip accomplishes this by handling the manual post-production work for you.
Here's how it works:
A browser extension records your actions as you use your product and generates a script with default narrations. You edit the narrations to add context. Hit generate and you get multiple content formats from that single source. When your product changes, just update the script and regenerate everything. No re-recording video. No syncing audio. No repositioning callouts.
The interesting technical bit: instead of baking the video, audio, and interactive elements together during production (like traditional video content), I built a player that combines them at playback time. This means you can:
* Use one video for all formats
* Change the narration without touching the video
* Opens the door for multi-language voice-overs from a single video
* Makes it possible to stitch content on-the-fly for personalized demos
I'm also building a CLI tool so you can test your scripts locally and auto-update them when you deploy changes. Basically making content updates part of your CI/CD pipeline.
I've been using Ottoclip on Ottoclip since the first prototype and it's been freeing to not worry about content going stale as I add new features, which has allowed me to iterate faster. But I'm curious: does this resonate with you? What am I missing?
Try it at https://www.ottoclip.com or check out examples at https://www.ottoclip.com/gallery. Would love your feedback!

value: Show HN: Ottoclip: Create product videos/guides that stays in sync with your app

author: ttruong


value:
I've been building Binharic, an open-source AI coding assistant that runs in the terminal. It's written in TypeScript and uses the AI SDK from Vercel for its agentic logic, including tool use and workflow management.
It supports models from OpenAI, Google, Anthropic, and local ones through Ollama. It has a built-in keyword-based RAG pipeline and can use external tools via the MCP.
Many things about the agent are customizable, including its personality. The default persona is a Tech-Priest from Warhammer 40k, but this can be changed.
The project is still in early development, and I'm looking for feedback on the technical implementation and features.
Project's GitHub repo: https://github.com/CogitatorTech/binharic-cli

value: Show HN: Binharic – A terminal-based AI coding agent


value: novaTheMachine

value: Show HN: I made DressMate, an AI to decide what to wear from your own wardrobe

author: novaTheMachine


value: raoufbelakhdar

value:
I’ve been experimenting with the Person–Action–Object (PAO) system — a memory technique that helps you memorize large sets of numbers by turning them into vivid mental images and short stories.
To make my own training smoother, I built a small app that helps me:
Assign a person, action, and object to each number
Generate random PAO combinations to visualize as stories
Practice recall with flashcards, quizzes, and timed drills
It’s helped me get faster and more consistent when memorizing number sequences — and made training a lot more fun.
Here’s a short demo of how I’m using it:
 https://youtube.com/shorts/S_nBfn87uRo
I’d love feedback or ideas from anyone interested in memory systems, learning tools, or visualization training — especially on how to make the practice even more effective or gamified.

value: Show HN: PAO Trainer – A small app I built to practice PAO memory systems [video]

author: raoufbelakhdar


value: anwitars

value:
Hi HN,
I built Chorey
 — a lightweight framework for building complex asynchronous workflows in Python with end-to-end type safety.
Chain asynchronous functions together fluently, supporting branching and routing as well, all while preserving 100% type safety.
Also, Chorey can generate a Mermaid diagram out of your pipeline completely written in Python.
If you have any thoughts in mind, just let me know.

value: Show HN: Chorey – A Type-Safe, Asynchronous Pipeline Framework for Python

author: anwitars


value: xdasf

value: An early version was shown before, and now it works even better.<p>Enjoy！

value: Show HN: Kite – A modern, lightweight Kubernetes dashboard

author: xdasf


value: jollychang

value:
Hey HN,
I download a lot of academic papers and reports, and my downloads folder was a mess of files like `1234.5678.pdf` or `whitepaper_v2_final.pdf`. Manually renaming them was a huge time sink.
To solve this, I built Ramener. It's a native macOS app that:
1.  Reads the first few pages of a PDF.
2.  Uses an LLM (Aliyun's qwen3-omni-flash) to extract the title, source, and date.
3.  Renames the file to a clean `YYYY-MM-DD_Source_Title.pdf` format.
The main goal was to make it feel like part of the OS. It's a standalone app, not a web service. You can integrate it directly into Finder's toolbar or Quick Actions menu, so you can rename files with a single click without leaving Finder. It also has a CLI for power users and scripting.
On first launch, a native settings window pops up for your API key, which is then stored locally.
It's built with Python and packaged with PyInstaller. The code is open source, and I'd love to get your feedback on the workflow, the integrations, or any bugs you find.
GitHub link: https://github.com/jollychang/ramener

value: Show HN: Ramener – An AI-powered PDF renamer for macOS with Finder integration

author: jollychang


value: cian

value:
I'm a Research Scientist who's been working in Health AI for over a decade. For the last few months I've been leading the AI Research Team at Counsel Health.
Today we announced the launch of our next-generation AI care platform, built to serve as the responsible front door to healthcare. Backed by a $25 million Series A led by Andreessen Horowitz (a16z) and GV. Counsel combines the immediacy of AI with the oversight of licensed physicians to deliver care that is faster, safer, and more cost-effective at scale.
If you're interested, please do try out our app. I'm curious to hear what folks think of what we've built so far and what people might be excited to see in the future from us.

value: Show HN: Counsel Health ($25M Series A) – LLMs for Medical QA and Chat with MDs

author: cian