
Sharkforce
AI that verifies work actually happened, in real time
What it does
Most attendance tools tell you who clocked in. Sharkforce tells you if the work actually got done. It combines AI task validation, facial recognition, GPS geofencing, and rotating QR codes into one platform, and enforces your exact policies, not generic ones. Submit once, AI checks every photo and file against your rules in under 2 seconds. Mako, our AI assistant, runs reports, assigns tasks, and builds workflows in plain language. Free plan available. Payroll for KSA, US, and Canada included.
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- HOHalo – open-source, tamper-evident runtime evidence for AI agentsJul 2026 · github.com · ▲37
Hi HN, I'm Brian, I spent the last few years at Vanta (YC W18), helping startups and enterprises become compliant and I recently started exploring what that might look like in a post-agentic world. The problem Halo solves is: when a company buys an AI agent from a vendor and gives it access to their data, they have no way to check what the agent did with that data. Vendors may have built observability dashboards and audit logs, but those are editable and partisan. SOC 2 and ISO 27001 audit a company's controls, but controls are less predictive when the software is agentic. TLDR: give an…
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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…
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