I hate emails and scheduling, so I'm building an AI to do it for me
I spend way too much time reading emails and scheduling. I just want something that handles it for me.. without needing a whole new app. So, I’m building this thing that lives in WhatsApp. It helps with emails, scheduling, todo lists etc.. right from my whatsapp. Honestly, I feel like batman with alfred at my sevice lol. Still veryyy early, but I wanted to check if others would be intrested. Would love to hear what you think. <3
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- IBI built an AI agent that schedules meetings from Gmail and Slack2025 · meetalphie.com · ▲6
Hey Hackers, My co-founder and I built an AI bot that reads the natural-language context from email or Slack chat and traces availability links (Calendly, cal.com, etc), then compares the other person availability with yours to find the optimal time. It also drafts email responses and re-schedules meetings. Demo: https://www.youtube.com/watch?v=YAJBARVWf1w Thanks very much in advance for your feedback!
- APA personal Gmail2012 · ▲127
Hey guys, so I've been building my own Gmail for the past few weeks and would like your feedback. Find a preview here: http://i.imgur.com/UDz2y.png (Mouse cursor is over the "REPLY" button, to show the hover-effect) The app you see in the screenshot is what I've been using in the past week and it starts to feel better than the gmail interface. Just a quick explanation: - It's conversation-based like Gmail. - Conversations with new emails are on the left. - Conversations may be labeled ... based on predefined filters or manually. - Every conversation stays in the left sidebar until marked…
- IBI built an AI personal assistant that picks up your calls2025 · apps.apple.com · ▲5
hey hacker news! no matter what I have tried, nothing actually got rid of spam calls. built an AI agent that picks up your phone to filter out these spammers dynamically. next on the roadmap is automating scheduling
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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.
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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, March 2025
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Mimic Human Research & Save Findings in AI Knowledge Base
AI · 2025 · sider.ai
