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Research papers,
finally readable.

Resrchify turns any AI research paper into a structured summary, a conversation, and runnable code — in seconds. Stop drowning in dense methods sections.

Free to join. No credit card. Launching soon.

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🎓 Built for researchers, engineers & learners
300+ papers/day on arXiv — we help you keep up
🔒 No spam, ever
resrchify.in — Paper Summary
Attention Is All You Need — Vaswani et al., 2017
NeurIPS 2017 · Transformer Architecture · 56,000+ citations
🎯 The Need
RNNs and LSTMs struggled with long-range dependencies and couldn't be parallelised efficiently during training.
💡 What Was Done
Introduced the Transformer — a model relying entirely on attention mechanisms, removing recurrence and convolution.
🏗️ Architecture
Encoder-Decoder with 6 layers each. Multi-head self-attention + feed-forward sublayers. Positional encodings replace recurrence.
🔭 Gaps & Future Scope
Quadratic attention cost limits context length. Spawned BERT, GPT, and a decade of efficiency research (Linformer, FlashAttention, etc.).

The problem with reading research

If you work with AI, you already know this pain.

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Papers are impenetrable

Written for specialists. 30–40% of your reading time goes to decoding jargon before you reach the actual insight.

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Volume is overwhelming

300+ papers a day on arXiv alone. No one can keep up across even one sub-field without a system.

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Reading ≠ implementing

The gap between understanding a paper and writing the code is massive. Most practitioners never bridge it.

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No research context

Papers assume you know everything that came before. Building the lineage yourself takes hours.

What Resrchify Does

Everything a research assistant
should do — and then some

From your first read to your first experiment, Resrchify has you covered.

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Smart Summaries

Every paper broken into: abstract, the need, what was done, architecture, diagrams, gaps, and future scope. Structured. Always.

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Talk With Your Paper

Ask questions, go deeper, get clarifications — chat directly with any paper, powered by AI that has actually read it.

Paper → Colab

One click converts the methodology into a runnable Google Colab notebook. Read the paper. Run the experiment. Same session.

★ Unique Feature
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Topic Feed

Pick your sub-fields — transformer efficiency, RL, multimodal models — and get a curated daily feed of what matters.

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Research History

See every paper this work builds on, with one-line summaries. Click to auto-expand. Understand the lineage instantly.

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Upload Any PDF

Paste a link or upload a PDF directly. Resrchify gives you the full analysis — whether the paper is on arXiv or not.

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Save & Bookmark

Save paper summaries, build a personal research library, and never lose track of something important again.

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Latest News

Beyond papers — get the latest news and discussions on your topic, aggregated alongside your research feed.

How It Works

From paper to insight in 3 steps

No setup. No fluff. Just research, faster.

1

Pick your topics

Select your research interests — as granular as you want. Transformer architectures. Diffusion models. Reinforcement learning from human feedback.

2

Get your feed

Resrchify pulls the latest papers, generates structured summaries, and delivers them to your personalised feed — daily.

3

Go deeper, or go build

Chat with the paper, trace its lineage, or hit "Open in Colab" and start experimenting — all without leaving the app.

Be first to access Resrchify

We're building in public and launching to a small waitlist first. Join now and help shape the product.

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