Zipero
my first web app, tools box for french/english people
What it does
FR : Zipero est mon premier projet, né de ma passion et conçu avec l’IA. J’y ai mis tout mon cœur pour simplifier vos PDF et images. L'essentiel est gratuit, et l'option Pro finance simplement les serveurs. Un projet sincère pour booster votre quotidien ! EN : Zipero is my first project, born from passion and built with AI. I put my heart into simplifying your PDFs and images. Essentials are free, and the Pro option simply covers server costs. A sincere project created to boost your daily life!
Does a similar job
all alternatives →- IBI built 184 free browser tools – PDF, image, dev, AI tasks, no uploadJun 2026 · brevio.pro · ▲89
- FAFlashcard app to learn the vocabulary of English books/series/movies2019 · ▲7
Made this app because I was tired of not knowing 50 words/book when I read in English. You can try it on the AppStore searching "Quicky app". For Android user please use the web mobile version at https://quicky.app/. The Desktop version has a shitty responsive design. IMPORTANT NOTE: If you are not French, you will want to tell you are to try the features of the app (sorry it's only in French though) I'd love to hear your feedback.
- MAMake AI motion videos with textFeb 2026 · framecall.com · ▲6
Saw the remotion claude skills launch earlier, and honestly even though I was surprised how decent some of the results turned out to be I ended up never trying it out with claude code because I knew I'd have to setup remotion, bundler etc and if I was already doing it once I thought I might as well turn it into a site where anyone could just write messages and get a video without any prerequisites. I also know Claude Code is not something everyone has and setting up remotion is a pain. And one of the biggest lessons I learned from this whole experience is that Opus is actually not that good…
- LRLevi – run AlphaEvolve on your Claude Code/Codex for dirt cheapJun 2026 · ttanv.github.io · ▲5
Hi HN, Wanted to share something I'm excited about. I’ve been fascinated by AlphaEvolve and its results for more than a year now, but using open source frameworks seems overwhelming because of the high costs. I can’t really afford hundreds of Claude Opus calls every time I want to run it. I want to be able to try it out many times and all sorts of unique domains. What if it was possible for AlphaEvolve to be much more affordable while getting a better performance? . Over the last six months or so, I’ve been working on LEVI, an open source AlphaEvolve-like system that can outperform existing…
More ai this month
the category →
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 · 19d 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