Runliant
Know when an automated job silently goes wrong
What it does
Runliant independently checks whether scheduled automation and AI jobs ran on time and returned the expected result. It alerts you when a job is missed, failed, slow, duplicated, empty, incomplete, or over budget—without requiring access to your automation-platform account.
Know when an everyday automated job does not run, fails, takes too long, costs too much, or returns the wrong result.
Runliant does not stop when a job says “done.” It also checks result counts, required fields, duplicate runs, duration, and cost. AI jobs can be checked against rules you choose without calling another model. Read one focused guide before you register. Each page explains what is checked, how to connect it, and what data stays private. Catch missed schedules, empty results, and duplicate runs even when a Zap looks successful. Know when a scenario does not run, never reaches its final module, or returns zero useful results. Detect stalled, incomplete, slow, or unexpectedly expensive scheduled agent runs. Some jobs say they succeeded even when they produced nothing. Runliant also checks for…from runliant.com
Does the same job
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Progress AI Observability30d ago · telerik.com · ▲168Trace, evaluate, and improve AI agents in production



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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.
AI · 16d ago · simedw.com
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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 · 26d ago · cactuscompute.com


Launched alongside, September 2026
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Find your next hire or your next role from Hacker News monthly threads. AI-powered matching between candidates and job postings.
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I made OwnTime to balance between competing priorities in my life. The idea is based on two main influences: the concept of "roles" from "The 5 Choices" (2015), and my repeated failure to effectively implement time blocking due to the necessary flexibility in my role. The app allows you to define time budgets, which are not much more than a few mutually exclusive countdown timers. The UX is essentially that of a chess clock for an arbitrary number of players with configurable time. The whole point of the app is to kick you out of the running role/priority when its time is up. One…
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