Litrevu
Your research report, your sources, written 10x faster.
Litrevu launched on May 1, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Litrevu turns your research papers into complete, hallucination free, cited academic reports in minutes, so you can focus on the science, not the writing.
AI research assistant that finds relevant papers on your topic (or use your own) and synthesizes them into structured notes with real citations. Read 30+ papers in hours. 800 words free, no credit card.
Upload your sources. Litrevu organizes the literature around your research question, with real citations from YOUR papers. You review and revise, in hours instead of weeks. Every citation traces back to a PDF you uploaded. Nothing is fabricated or hallucinated. Litrevu gives you a structured starting point. You review, revise, and make it yours. Edit the draft to reflect your own analysis. The thinking is still yours. We just save you the blank-page paralysis. Always check your institution’s AI policy before submitting. Litrevu is a drafting tool, not a shortcut around academic standards. Add your sources (upload PDFs or pull papers from OpenAlex) and Litrevu reads and synthesizes them into…from litrevu.com
Does a similar job
all alternatives →More work this month
the category →
Endless lofi beats composed live in your browser, over pixel-art nights in Paris, Tokyo, New York, Hong Kong, Sydney, San Francisco and more. Free, no sign-up.
Work · 27d ago · loficities.com
Smooth Recorder▲257Mac screen recordings that look edited when you hit stop
Work · 21d ago · smoothrecorder.com



Work · 15d ago · readrare.com
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