
SignalDesk
Anonymously find out what people really think of you
SignalDesk launched on May 15, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Most people never find out how others truly see them. SignalDesk changes that. Share your personal link with friends, colleagues, or classmates. They answer 3 honest questions about you — completely anonymously, no account needed. This isn't anonymous compliments like NGL. It's structured self-awareness — the kind people pay therapists thousands for. Free to collect responses. Unlock your full report for less than a coffee. Try it yourself: signaldesk.company/u/arishin
Does a similar job
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Anonymous Feedback2021 · anonymousfeedback.netlify.app · ▲71Platform to receive and send feedback anonymously

Anonymous Feedback Tool for Teams2023 · runsignals.com · ▲46Hey there! Signals is a survey system that collects feedback from staff (mostly) but also clients and stakeholders in a business. It does this via SMS on a weekly schedule (the cadence can be changed but it works best when done weekly). My co-founder and I started working on this nearly a year ago, having run similar small builds for over four years. This time we’ve tried to do it properly. The execution is relatively simple - similar to an eNPS (Net Promoter Score - a common way of measuring how consumers like your product or service), but we wanted a way to anonymously pass candid feedback…



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Source: Product Hunt launch ↗
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



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…
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