ReviewBeam
AI-powered review replies in seconds Reply to Google reviews
ReviewBeam launched on May 27, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
ReviewBeam — AI-powered replies to your Google reviews, in seconds. Local businesses know responding to reviews matters but it never happens. ReviewBeam fixes that. Connect your Google Business link once, and get professional, on-brand AI replies generated in one click. No prompt writing. No copy-pasting. No tab-switching. Just done. 30-minute task → under 10 seconds.
Generate professional, on-brand replies to Google reviews in seconds. ReviewBeam is a purpose-built AI tool for small businesses — no prompts, no copy-paste, no VA needed. Try free with 5 replies.
ReviewBeam generates professional, on-brand replies to your Google reviews in seconds. Unlike ChatGPT, there's no prompt to write, no review to copy-paste, and no guessing if the tone is right. Just click, review, and post. "Great food, but the wait time was a bit long. The staff was friendly and the atmosphere was lovely. Will probably come back!" You know responding to reviews matters. But between running your business, managing your team, and serving customers — it keeps falling through the cracks. No more manual copying and searching for reviews. Connect your link, let AI generate the perfect reply, and post it instantly with our deep-link integration. Paste your Google Maps link once.…from reviewbeam.net
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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 →

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…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com