
Jiss
Free & Open AI for All
Jiss launched on January 26, 2026 with 7 votes, #1,609 of 14,584 launches that month and more than 90% of that year's launches.
What it does
Many run local AI inference nodes. They are mostly idle. Why not connect to a hub and offer inference to others for free? This is what Jiss.ai is tackling.
Does a similar job
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Lindy2024 · lindy.ai · ▲396I'm a big fan of Chris Dixon's idea that "what the smartest people do on the weekends is what everyone else will do during the week in ten years." One such thing rn is "creating AI agents." Most devs I know have a few agents lying around. But you shouldn't have to be an engineer to use agents — and even engineers don't want to code every time they need a new agent. So we built a no-code platform to make it 100x easier to create those: * you give a prompt * select amongst 3,000+ API connectors we built (no need to fiddle with OpenAPI specs) * add event-based triggers that'll wake up your…

I put an AI agent on a $7/month VPS with IRC as its transport layerMar 2026 · georgelarson.me · ▲340The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol. Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day. A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship…
LocalAug 2026 · basecompute.co · ▲107Super excited to launch our new app Local today. What we’ve learned at Base Compute over the last months is that running AI directly on your laptop or workstation gives you maximum privacy and it’s free, but it’s also a massive headache to configure. So we’ve decided what matters is making the experience completely frictionless for users. Local analyses the hardware of your laptop, optimises the AI for it, and recommends the best models for your specific device. It let’s you do what you’re doing with cloud AI already, just for free and on your own machine: Chatting with PDF’s, Recording and…

- OSOpen-Source MCP Server for Context and AI Tools2025 · ▲43
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
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Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
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