DaPilot: AI Logbook for Pilots
Log any flight in 10 seconds
What it does
AI-powered flight logbook for iPhone. Hold the mic, say your flight, and DaPilot fills out the entry — aircraft, times, approaches, crew role, all of it. Point your camera at any paper logbook and it reads each row automatically. For Part 121/135 pilots: Airline Mode tracks all five FAR §117 windows, each linked to its eCFR paragraph. Free: manual entry, currency, medical, 8710-1 totals, sync. Pro ($9.99/mo): unlimited AI voice, logbook scanner, Airline Mode.
Does a similar job
all alternatives →- ANAviation navigation log on $20 receipt printer2023 · carloslagoa.com · ▲373
- IMI'm an airline pilot – I built interactive graphs/globes of my flights2025 · jameshard.ing · ▲1,539
Hey HN! Pilots everywhere are required to keep a logbook of all their flying hours, aircraft, airports, and so on. Since I track everything digitally (some people still just use paper logbooks!), I put together some data visualizations and a few 3D globes to show my flying history. This globe is probably my favourite so far: https://jameshard.ing/pilot/globes/all If you’ve got ideas for other graphs or ways to show this kind of data, I’d love to hear them!
BBAFlightHubMar 2026 · bbaflighthub.com · ▲3AI-powered flight log analyzer for ArduPilot & PX4 drones
FreeVoice: AI Voice KeyboardMar 2026 · testflight.apple.com · ▲26Dictate. Record. Transcribe. Summarize. All On-Device.
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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
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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
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Dev tools · May 2026 · github.com