Vitrin
Stop emailing PDFs. Your digital catalog, live in 5 minutes.
What it does
Turn your product list into a beautiful, shareable digital catalog. → AI Magic Import: paste a URL or upload photos your products created instantly → Studio AI: amateur photos become professional shots in one click → Built-in quote system: clients browse, request, you close → Analytics dashboard: see which products get favorites, track your conversion funnel, spot what clients search for → 29€/mo · Unlimited team members · No per-seat pricing Built for B2B businesses still living in PDF hell.
Does the same job
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quyash - AI product visuals in 60 sec.Jun 2026 · quyash.app · ▲30AI product visuals for Amazon, Etsy & Shopify in 60 seconds
A Buyer's Editor to Fix B2B Procurement PDF Hell with API and MCP20d ago · orbitquote.com · ▲522+ years as a Software engineer/programmer. For a reason that only life can explain, in the last 8 years i went from Adobe Flash Specialist to owning a small solar installation business and a small electric and plumbing materials. o.O We had a problem every time that we had to resupply or shop for new goods. In Brazil, things are manual in B2B and restricted to PDF Quotations/Proforma negotiations. Nobody has ecommerce, only the middlemen that resell what they buy from the factory with their margins on top. For better margins, direct from the factory is the way to go. Long story…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com