Which academic databases can I monitor?

Any publicly accessible research page, including PubMed, arXiv, SSRN, Google Scholar, Semantic Scholar, journal websites, and university research pages.

Can I monitor search results for specific keywords?

Yes. Save your search query URL on any database and add it as a monitor. PageCrawl alerts you when new results appear for your search terms.

How is this different from Google Scholar alerts?

Google Scholar alerts are limited to Google Scholar results and arrive via email only. PageCrawl monitors any academic page, offers AI summaries, and sends alerts to Slack, Teams, Discord, and more.

Can I track preprints before they are peer-reviewed?

Yes. Monitor preprint servers like arXiv, bioRxiv, medRxiv, and SSRN. Get alerted when new preprints are posted in your research area.

Does it work with paywalled journals?

PageCrawl can monitor the publicly accessible parts of journal websites, such as table-of-contents pages and abstracts. For full-text monitoring behind paywalls, authentication actions may be needed.

Stay Current on Research Without the Manual Searching

Thousands of papers are published daily across journals and preprint servers. PageCrawl watches the publication pages and search results that matter to your research, and alerts you when new papers appear.

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No credit card required. 6 monitors free forever.

Trusted by 5,000+ teams including Microsoft, NYT, Deloitte, and more

5M+

academic papers published per year

30K+

active academic journals worldwide

Next check

from publication to alert

Why Teams Choose PageCrawl

Monitor Journals and Preprint Servers

Track new publication pages on PubMed, arXiv, SSRN, Google Scholar, and any other academic database. Get alerted when new papers matching your interests appear.

AI Summaries of New Publications

Every detected new paper comes with a plain-language AI summary. Quickly assess relevance without reading the full abstract or paper.

Track Saved Search Queries

Monitor search result pages for your research keywords. PageCrawl flags new papers in your field as they appear.

Follow Specific Researchers

Monitor author profile pages and lab websites. Get alerted when researchers you follow publish new work or update their research pages.

Build a Research Timeline

Every detection is timestamped and stored. Build a chronological record of publications in your field over time.

Research Briefings for Labs, Clinical Teams, and Librarians

New papers arrive every day across thousands of journals and preprint servers, and your literature search query gets buried under noise. Principal investigators want a weekly digest of new preprints in their area. Clinical teams want PubMed alerts the day a relevant trial reads out. Research librarians want monthly summaries by department. PageCrawl monitors arXiv, PubMed, Nature, IEEE, and any other publication page, then groups results by lab, topic, or author so each audience reads what is actually relevant.

Lab Preprint Watch · Monthly · July

4 new preprints in your area

AI OverviewStyle: Detailed

FlashAttention-3 is the lab meeting pick: 1.5-2.0x faster attention on H100 GPUs, reaching 740 TFLOPs/s in FP16. Meta posted the Llama 3 paper with a 405B dense model and 128K context, and Google posted the Gemma 2 report. The PEER paper on retrieving from over a million tiny experts is worth a read for the sparse-model group.

"FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision" reports a 1.5-2.0x speedup on H100 GPUs, with FP16 reaching up to 740 TFLOPs/s (75% utilization) and FP8 close to 1.2 PFLOPs/s. FP8 FlashAttention-3 shows 2.6x lower numerical error than a baseline FP8 attention. Strong lab meeting candidate.

arxiv.org/abs/2407.08608·Jul 11·View diff

Meta posted "The Llama 3 Herd of Models". The largest model is a dense Transformer with 405B parameters and a context window of up to 128K tokens, reported as comparable to GPT-4 on many tasks. Detailed pre-training and scaling sections, useful background for the long-context project.

arxiv.org/abs/2407.21783·Jul 31·View diff

"Mixture of A Million Experts" introduces PEER (parameter efficient expert retrieval), a layer that uses product keys to retrieve from a pool of over a million tiny experts. Reports better performance-compute trade-offs than dense feedforward layers and coarse-grained MoEs on language modeling. Relevant to the sparse-model group.

arxiv.org/abs/2407.04153·Jul 4·View diff

Google posted the Gemma 2 technical report: open models from 2B to 27B parameters with interleaved local-global attention and group-query attention, and the 2B and 9B models trained with knowledge distillation. Useful baseline numbers, no direct overlap with our kernels work.

arxiv.org/abs/2408.00118·Jul 31·View diff

Scope: Tag: #ml-systems-research · Sent to Principal investigator, Postdocs

AI-written briefings, 8 stylesPick the style each audience prefers: headline, patterns, action briefing, detailed, bullets, changelog, risk assessment, or brief.

Group by tag, folder, or domainOne report for competitor pricing, another for compliance pages, another for product launches.

Daily, weekly, or monthly cadenceEach audience picks the rhythm that fits. Marketing on Mondays, legal on the first of the month.

Deliver to anyoneEmail digests to stakeholders, clients, or execs. No PageCrawl account required for recipients.

Print-ready briefingsEvery digest is print-optimized. Open it, hit print, and you have a clean briefing for board decks or quarterly reviews.

PDF and Excel exportExport any digest as PDF or Excel for archives, audits, or pasting straight into a deck.

Comments and feedback inlineStakeholders can flag noise, ask questions, or escalate items without leaving the digest.

Priority escalation channelsHigh-priority changes still hit Slack, Teams, email, Discord, Telegram, and webhooks without waiting for the next digest.

How Scheduled Reports work

Built For

Academic Researchers

Stay current on publications in your field without manually checking dozens of journals. Focus on your research instead of searching for papers.

Medical & Clinical Teams

Monitor PubMed, clinical trial registries, and medical journals for new findings relevant to patient care and clinical practice.

R&D Teams

Track academic research that could inform product development. Know when new findings emerge in your technology area.

Research Librarians

Monitor publication databases on behalf of faculty and research groups. Route relevant paper alerts to the right departments.

Frequently Asked Questions

How It Works

Add any URL: pages, prices, numbers, PDFs, login-walled portals

Paste a competitor page, a vendor DPA, a product listing, or a government docket. PageCrawl handles JavaScript-heavy pages, cookie banners, login walls, and PDFs out of the box. Track the whole page, a specific element, a price, a stock status, or a number. The choice is yours per monitor.

PageCrawl detects what changed and how much it matters

For text-heavy pages, an AI summary explains in plain English what shifted and assigns a 0 to 100 importance score. For numbers, prices, and stock counts, you get the raw value, no summary needed. Pick what makes sense per monitor; AI is on tap when you want it, off when you do not.

Alerts only when something is actually urgent

Time-sensitive changes (price drops, restocks, new filings) hit Slack, Teams, email, Discord, Telegram, or webhook. Less urgent changes (terms updates, content drift) skip the ping and wait for the morning digest. You decide which folders and tags trigger which channels.

Roll the rest up into reports stakeholders actually read

Changes that do not need an alert of their own flow into AI-written digests grouped by tag, folder, or domain. Daily for ops, weekly for marketing, monthly for compliance. Each audience picks the cadence and report style (patterns, action briefing, risk assessment, or six others) that fits how they work.

Start monitoring for free

6 monitors, 220 checks/month, all integrations included. No credit card required.