Review My Manuscript
AI pre-review before you submit your scientific paper
What it does
Review My Manuscript gives researchers a structured, referee-style pre-review in minutes—not a rewrite. Upload PDF/DOCX, get scores, methodology notes, literature context, and an action plan before journal submission. First review free; from $29. Journal-fit suggestions are included when our catalog matches your field.
Does a similar job
all alternatives →- APAI Peer Reviewer – Multiagent system for scientific manuscript analysis2025 · github.com · ▲108
After waiting 8 months for a journal response or two months for co-author feedback that consisted of "looks good" and a single comma change, we built an AI-powered peer review system that helps researchers improve their manuscripts rapidly before submission. The system uses multiple specialized agents to analyze different aspects of scientific papers, from methodology to writing quality. Key features: 24 specialized agents analyzing sections, scientific rigor, and writing quality // Detailed feedback with actionable recommendations. // PDF report generation. //…
- LYLast year I asked HN to do it, now I am doing it myself-JournalClub iPad2011 · ▲13
Almost one year ago I asked HN if anybody is interested to make a Web app to make reading and finding scientific papers smarter [http://news.ycombinator.com/item?id=1664648]. No one did, at least no one did what "I" think is the best way to approach this problem. A a few month ago I decided to do it myself.<p>Meet JournalClub iPad app (absolutely free), http://itunes.apple.com/us/app/journalclub/id443819334? I have a recommendation engine in the pipeline that I would introduce in the next update (hopefully in a month or so). I really appreciate any comments, feedbacks.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 28d ago · cactuscompute.com
Launched alongside, May 2026
the whole month →
Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
- NW
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
- FM
Dev tools · May 2026 · github.com