AngelDesk
Any startup. Analyst-grade read. In 45 seconds.
AngelDesk launched on May 31, 2026 with 7 votes, #1,574 of 20,538 launches that month and more than 90% of that year's launches.
What it does
Paste any startup URL and get an analyst-grade read in 45 seconds — no sign-up, no spreadsheet. AngelDesk returns a weighted score across 10 sections (market, momentum, exit potential, unit economics, valuation, disruption risk and more), peer comparables, red flags, and the questions actually worth asking before you wire money. Built for European private markets, with an AI analyst layer behind every read. For investors screening fast, founders, and operators tracking the market. Free to try.
Paste a URL. Get a structured breakdown: market position, competitive landscape, valuation insights and the questions worth asking before you invest.
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hey y'all -- can you please tell us if our job search tool sucks? :D we built it using an investor platform called Harmonic.ai to gather startup data, then contextualize it so that job seekers could find out about the most exciting startups hiring first (like if they just raised, growing headcount fast, have an ex-unicorn founder, etc). pretty sure we're the first platform doing anything like this. anyway, let me know what you think. really excited to launch this thing soon! getting feedback from the hn community first is really fun :)
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Growth · 12d ago · wallhop.io


Source: Product Hunt launch ↗
Launched alongside, May 2026
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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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