Red Flag AI Pro
Spot illegal ads before buying. Scan copy before you publish
Red Flag AI Pro launched on May 27, 2026 with 5 votes, #2,008 of 20,538 launches that month and more than 75% of that year's launches.
What it does
Buyers: paste any ad, sales page or email and find out in 60 seconds if it is breaking the law before you spend a penny. Sellers: scan your copy for FTC, CMA, ASA, GDPR, EU AI Act, ACCC and CASL violations and get a plain English fix. Every flag comes with a compliant rewrite. 16 risk categories. 5 jurisdictions. No legal degree needed. No credit card to start. The world's only compliance scanner protecting both sides of the transaction.
Know your marketing is clean before you hit publish, and know your AI governance holds up before a regulator asks. Checked across 11 jurisdictions and 30 risk categories, so the confidence is backed by something real.
Check your marketing copy for compliance risk. Prove your AI governance to regulators and boards. Pick the side you need, or run both. Publish with confidence, not a guess. Paste your copy and know in 60 seconds if it is clean, checked against 30 risk categories across 11 jurisdictions, with every flag explained so you know exactly what to fix. Find out in 2 minutes whether you could survive an audit tomorrow. 12 questions across 6 dimensions reveal your governance maturity and your single biggest gap, before someone else finds it first. Is your ad about to get you fined, or flagged by the platform you're paying to run it on? ✓ Check your copy in under 60 seconds. Catch income claims, fake…from redflagaipro.com
Does a similar job
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wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
Growth · 11d ago · wallhop.io


Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

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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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