detectly
Turn your fleet's dashcam footage into driver safety scores
What it does
Fleet managers have dashcams on every vehicle. Almost none of the footage ever gets watched as there simply isn't time. We built detectly to fix that. Upload a clip and the AI automatically flags dangerous incidents: following too close, cut-ins, pedestrian hazards, and more. Every driver gets a risk score. Annotated clips are ready to review in minutes. No manual review. No new hardware. Works with any dashcam footage you already have.
Does the same job
all alternatives →- RIReport idling vehicles in NYC (and get a cut of the fines) with AI2025 · apps.apple.com · ▲194
New York City has this cool program that lets anyone report idling commercial vehicles and get a large cut of the fines [1]. It's been in the news recently [2]. I've filed a few reports, and I found the process frustrating and error-prone. The forms are fiddly, there's way too much information that needs to be copied down from the video by hand, you have to use a third-party app to take a timestamped video and a different app to compress it before uploading, and approximately none of it can be done on your phone — the device you probably used to record your video in the first place. I built…
- 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…
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, June 2026
the whole month →
Fundraisly▲1,544AI fundraising agent that finds investors and books meetings
AI · Jun 2026 · fundraisly.com
- H6Homebrew 6.0.0▲1,481
Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
Dev tools · Jun 2026 · brew.sh
- PU
hope you enjoy
Life & fun · Jun 2026 · vorpus.github.io
- IM
Life & fun · Jun 2026 · hackernewstrends.com