If there is a tool you wish existed, you can request it on the site and I will build it. Do your worst. Seriously, ANY tool.
Maybe it helps, maybe not. Enjoy!
HN Discussion: https://news.ycombinator.com/item?id=45399204 https://news.ycombinator.com/item?id=45386248
Deno provides a great sandbox environment for Typescript code execution because of its permissions system which made it easy to spin up code that only has access to fetch and network calls.
Stick an MCP proxy on top of that and you've got "CodeMode" (code intermixed with MCP tool calls) for more advanced workflow orchestration.
https://github.com/jx-codes/codemode-mcp
There's a lot of things that can be improved here. Like a virtual file system for the agent to actually build up its solution instead of being forced to one shot the solution but the bones are there.
I'm Divy, former CTO at Branch and previously led engineering teams at Credit Karma and NexHealth. Over the past decade in fintech and healthtech, I've watched too many founders get blindsided by privacy compliance.
The Problem: 80% of startups are unaware of privacy laws affecting their business. The choice between expensive attorneys ($5,000+) and risky generic templates is getting worse as regulations expand. Generic privacy policies fail because they make promises your business can't keep – I've seen this tank funding rounds and trigger regulatory investigations.
My Personal Pain: At Branch, we spent weeks and over $5K just to get basic privacy compliance docs. Our attorneys charged hundreds per hour to essentially fill out forms about our data practices. The kicker? The policy didn't even cover our specific use cases properly, and we had to redo everything when new regulations kicked in.
The Solution: PrivacyForge.ai generates legally compliant privacy documentation using AI trained on current regulations. Instead of generic templates, it creates documents based on your actual business practices – what data you collect, how you process it, where you store it, and which jurisdictions apply to you.
Technical Approach: We built this on Google Cloud with Vertex AI, using Claude Sonnet and Gemini 2.5 for document generation. The system maintains separate knowledge bases for GDPR, CCPA, CPRA, PIPEDA, COPPA, and CalOPPA. Each document gets validated against jurisdiction-specific requirements before delivery. We're continuously expanding the regulations we support.
Different from existing tools: Most privacy generators use static templates with basic fill-in-the-blanks. We analyze your specific data flows and generate custom language. No per-site pricing that kills agencies – just one-time payments with included updates when regulations change. Current status: We're live with paying customers who've saved thousands in legal fees. Generated documents have passed compliance reviews at companies going through Series A due diligence.
Try it at privacyforge.ai – would love feedback from the HN community, especially if you're dealing with privacy compliance headaches at your company.
What privacy compliance nightmares have you faced? Always curious to hear war stories from fellow builders.
The tool has zero ShellCheck errors/warnings and is production-ready. It's particularly useful for new Mac setups, team onboarding, or anyone wanting a modern development environment without the manual configuration hassle.
Key features: - 10 preset configurations (minimal to everything) - AI tools with local LLM support - Modern terminals (Warp, iTerm2, Alacritty, WezTerm, Kitty) - Complete dotfiles (Shell, Git, SSH, editors) - Zero ShellCheck errors - production quality code - Intelligent CPU detection and parallel processing
Quick start: ```bash git clone https://github.com/davidsilvestrehenao-hub/env-setup.git cd env-setup ./setup-env.sh install --config configs/webdev.yaml ```
Available configs: minimal (~20 packages), webdev (~50), ai (~60), devops (~80), everything (113+ packages).
GitHub: https://github.com/davidsilvestrehenao-hub/env-setup
What do you think? Any features you'd like to see added?
CLIPSQLite is a library for working with SQLite databases within CLIPS rules engines. It provides the basics like opening and closing connections, as well as more advanced ones like binding named variables to prepared statements and returning results as Facts and Instances.
Aside from being a lot of fun to create, my goal in making this is to open up the possibilities of using CLIPS in real world systems. Give it a look, and let me know what features you'd like to see added next!
I just built it as a plug-and-play wrapper of vercel's ai sdk.
The solver handles constraints with integer, float, and boolean domains, supporting arithmetic, logical, and several global constraints (alldiff, element, count, table).
While performance continues to improve, it is not intended to compete with large commercial solvers.
Upload your own images or pick from starters, Drag them around like polaroids, connect them with edges, and branch off new designs.
Edit with prompts or quick sketches → AI generates variations right on the canvas.
It’s like a moodboard + AI lab for fashion.
What Supacrawler supports:
- v1/scrape — fetch content (HTML, js rendered) from a URL
- v1/crawl — follow links to crawl entire sites or sections
- v1/screenshots — capture visual renderings of pages (full page, element, etc.)
- v1/watch — monitor pages for changes over time
- v1/parse — the new endpoint: you submit a URL + a schema or desired format (JSON, CSV, YAML, Markdown), and it returns structured data without needing custom scraper logic
Repo: https://github.com/supacrawler/supacrawler Cloud: https://supacrawler.com
Let me know what would make this a tool you’d rely on in production! Thanks for checking this out :)
I'm building Wacht (https://wacht.dev/ | https://github.com/wacht-platform/) after years of freelancing on enterprise SaaS products and getting tired of cobbling together tools that don't actually work together.
(Note: the landing page has a waitlist signup - jump straight to the demo below to actually try it)
The problem I had was: There's no cohesive ecosystem for building SaaS apps. I don't want to spend half my time on integration gymnastics instead of solving actual problems. Every project becomes "how do I sync data from one product to this other product and then another one”
What I built instead: A unified platform which deploys infrastructure for: - CIAM suite - API Keys & Distributed Rate Limiting - Real-time in App Notifications - Webhook and analytics - AI Agents
And an SDK to consume all of this infrastructure + white label support
My primary motivation is I want all of this working from day one instead of forcing integration of other desperate tools.
This has been promising so far, I took it to a previous client, they integrated it and saw faster development on their AI agents offering. They are considering paying for it as well.
Try it out: I've deployed a demo of the CIAM suite: https://demo-9kg.pages.dev/
You'll need to sign up (I recommend social login with Google - it's faster and I'm hitting email sending limits for verification, though it does work). I don't actually need your real details for the demo.
While making the CIAM suite, my reference was Clerk because of the DX but it was expensive and not as “comprehensive” as they advertise it to be, extending anything related to it and I felt like I hit a wall.
Fair warning: Still actively building some features and cleaning up AI-generated code that I'm not happy with. The core works, but expect rough edges.
Two questions for HN: - Best way to open source this: I want to earn from this but at the same time I don’t want to lock people in, hence I will have all the source code and deployment instructions open but at the same time I don’t want somebody to just copy it and then compete, will not be the best experience. What license works best here?
- Extensibility: I want this to be easily extendable so developers don't hit the walls I did with existing tools. What patterns have you found work best for this?