BabyCryAi
Decode your baby’s cries with Ai
What it does
BabyCryAI helps parents understand baby cries in the moment: Record a cry and get a likely interpretation with a confidence score. Unlike baby trackers, it starts with the cry itself. We’re launching in beta to gather real-world feedback and improve model accuracy over time with parent input. Works best on iOS safari.
Does the same job
all alternatives →- ABAI Baby Monitor – local Video-LLM that beeps when safety rules break2025 · github.com · ▲94
Hi HN! I built AI Baby Monitor – a tiny stack (Redis + vLLM + Streamlit) that watches a video stream and a YAML list of safety rules. If the model spots a rule being broken it plays beep sound, so you can quickly glance over and check on your baby. Why? When we bought a crib for our daughter, the first thing she tried was climbing over the rail :/ I got a bit paranoid about constantly watching her over, so I thought of a helper that can *actively* watch the baby, while parents could stay *semi-actively* alert. It’s meant to be an additional set of eyes, and *not* a replacement for the…
Mom Baby Care Tips28d ago · ai.mombabycaretips.com · ▲2Free online parenting tools and baby care guides.
- COCryDecoder – On-device ML for classifying baby cries (Swift, Core ML)Jan 2026 · apps.apple.com · ▲5
Hi HN, I’m the developer behind CryDecoder. I built this after too many nights at 3am staring at a crying infant, completely exhausted, trying to guess whether it was hunger, gas, or just general fussiness. I realized I was essentially running a mental decision tree on very little sleep, so I decided to see if I could automate some of that signal processing. What it does: CryDecoder analyzes short audio clips of a baby’s cry and classifies them into categories like hunger, discomfort/gas, tiredness, or general fussiness. How it works: • Tech: On-device audio feature extraction paired…
Anacan: Flow, Pregnancy & BabyJul 2026 · apps.apple.com · ▲16AI-Powered app for Period, Pregnancy, & Confident Parenting
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 · 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, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
