Yapd
Wrapped for WhatsApp. Private. AI-powered.
What it does
Drop your exported WhatsApp chat. Get a Spotify-Wrapped-style recap: 20+ animated slides with top emojis, reply patterns, hourly heatmaps, archetypes, the moments that mattered, and AI personality dossiers for everyone in the chat. Parsed entirely in your browser. Messages never touch a server. No account needed for the free wrap. Saved wraps are end-to-end encrypted with your passkey, so not even we can read them. By design.
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- IMI made Spotify Wrapped but for WhatsApp chats, made it's open source2023 · github.com · ▲10
Hey HN, I am an indie hacker and I am launching my second product. Spotify Wrapped seems like a cool concept, so I imagined what Wrapped would look like for whatsapp. Privacy was a major concern for exporting plain text so I decided to not store ANY DATA by not having DB in the first place and open source the project. Hope you have fun making your Wraps xD anshulagx
- IMI made a site that lets you create your WhatsApp Wrapped 20222023 · ourchatstory.co · ▲12
Insights like who text's first, who text's more and many more can be generated in a fun story format. No data is stored and the code is open source. Would love to get feedback and feature requests.
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
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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