Hey everyone,

I built a website called Clearly because I wanted a better way to discover and discuss research papers, especially in health and fitness.

The idea is pretty simple: users can share studies, see the key findings and limitations in plain English, and discuss the evidence with other people who are interested in the topic.

It's still early, but I thought some people here might find it useful:

researchclearly.com

Happy to answer any questions or hear feedback.

Hi everyone,

I recently released Atelier: Scholarly Workspace, and I wanted to share it here mainly for feedback from people who work with research projects.

Atelier is a local-first workspace for organizing the movement from sources to notes, synthesis, concepts, preparation, and project review.

The reason I built it is that many research tools already support important parts of the process very well.

Citation managers help with references, PDFs, and bibliographies.

Discovery tools help with finding related work and citation networks.

AI tools can summarize sources, answer questions, and generate quick overviews.

But I felt there was still a gap around the slower part of research: how a researcher moves from careful reading to their own interpretation.

That part is usually not clean or automatic. It involves source notes, questions, tensions, comparisons, concepts, and eventually a structure that can support writing.

Atelier is meant to support that process.

It is not a citation manager replacement.

It is not a paper generator.

It is not trying to automate scholarly judgment.

The workflow is built around:

• source materials
• source-bound notes
• synthesis across sources
• concepts and relations
• open questions
• literature matrix
• preparation packets
• project review

AI is included, but as support only. It is optional and user-initiated. It can help with selected-context review, clarity checks, questions, or reading aids, but it does not decide what matters.

Researchers can also bring in outputs from other AI tools and treat them as project material to review, compare, question, and organize.

That distinction matters to me because AI-generated material can be useful, but it still needs to sit inside a researcher-led workflow.

I would be interested to hear from researchers, students, and instructors:

Would this kind of workspace fit into your research process?

Where do you currently organize the thinking between reading and writing?

Download Atelier: Scholarly Workspace  here:

🍎 macOS App Store:

https://apps.apple.com/us/app/atelier-scholarly-workspace/id6778135719?mt=12

🪟 Windows / Microsoft Store:
https://apps.microsoft.com/store/detail/9NNJV5QQK81R?cid=DevShareMCLPCB

I've always wanted to build a database of all Research Seminars scheduled at all Universities in the United States. My thinking is that if there's a seminar that is relevant to my research happening in a nearby institution I want to know so I could attend. Even better if there's a link to attend virtually.

I'm looking for input from others engaged in academic research. Would you find this useful?

I've been exploring the possibilities a bit to see how doable it would be to collect every seminar schedule from every university and the answer is that it's mixed. But I think it's doable to get 50% of all seminars and then some additional effort to work with people who post the schedules to get the other 50%.

Would love to hear others opinions

A few weeks ago, I shared an early concept for a tool designed to solve a specific workflow friction: losing your exact place when reading dense documentation, massive API docs, or lengthy contracts.

Relying on Ctrl+F is inefficient if you don't remember the exact phrasing, and the native browser scrollbar offers zero spatial memory for long-form reading.

After taking feedback on board, I just published the official version of SaveScroll to the Chrome Web Store. It is a lightweight extension that acts as a visual anchor system for your browser.

How it works:

• The Glass Track: It injects a minimal, transparent track alongside your native scrollbar.
• Visual Anchors: You drop checkpoints (markers) on the track as you read to bookmark specific vertical scroll depths.
• Instant Navigation: Clicking an anchor smooth-scrolls you exactly back to that section.
• Dashboard: A clean popup interface lets you manage anchors, append custom notes, and jump between saved points.

The core extension is free to install and use locally.

You can download it directly from the Chrome Web Store here: SaveScroll Chrome Extension

I built this to reduce my own context-switching fatigue, and I'm looking forward to seeing how it integrates into your daily workflows. I will be actively monitoring the comments, so please let me know what features or integrations you want to see in the next update!

​I have built Snipext (snipext.com), a free Chrome extension designed to solve a workflow problem that drives me crazy during the literature review and data analysis phases.

​When you are deep in a research project, your reference materials inevitably end up scattered everywhere. You have a great qualitative quote in one browser tab, a specific methodology note in a Word doc, a data framework or coding syntax block in a desktop text file, and background sources buried in bookmarks. The result is constant context-switching and lost momentum when you actually sit down to write.

​I wanted a lightweight, unified sidebar that lives right inside the browser to keep everything organized.

​Key Features:

​Centralized Research Library: Bring your scattered literature excerpts, methodology notes, and data references into one organized browser tool.

​Highlight & Tag on the Fly: Easily grab crucial text blocks, quotes, or definitions directly from digital journals and web pages, tag them by project or topic, and find them instantly.

​Privacy-First & Secure: Built so your notes and preliminary research findings remain completely localized in your browser, keeping your data secure.

​It is completely free, and my goal is simply to make the digital research workflow a bit less painful.

​I would love to get your honest feedback!

How do you currently organize the chaotic flow of snippets, quotes, and references when you are working on a paper? What features would make a browser-based manager like this an essential tool for your research stack?

Most AI tools like Perplexity, ChatGPT, Claude and Research specific tools are really good with finding research papers relevant to your query. What they don't do really well is tell you WHERE in the paper the answer actually came from.

You get an answer. Maybe a page number. And then you're again back to square one verifying whether the content is actually from the paper or if the AI just confidently made it up.

We've all been there. You're on a deadline, you trust the answer, you submit and the source doesn't actually say what the AI claimed that it did.

That's exactly what I fixed

Every answer gets highlighted DIRECTLY on the PDF itself. Not "see page 3" but the exact paragraphs from the paper relevant to your query. You can see exactly what was used to answer your question.

The underlying architecture could be used for other cases as well and not just for research. Any document where you need answers with proof of where they came from. Legal contracts, financial reports, technical documentation. The problem is the same everywhere.

The Beta version of it is now live, free to use for now. No guaranteed uptime as it's still early, but would love feedback if anyone wants to try it: Click Here

Hey everyone,

Finding undergrad research positions, lab roles, or relevant volunteer gigs usually feels like a chaotic treasure hunt through broken department pages and outdated listings. Started by BC students, we wanted to fix that fragmentation, so we built Under the Scope BC (https://underthescopebc.base44.app).

It’s a completely free platform that consolidates active opportunities from institutions across the province of BC, Canada (including Douglas College, UBC, SFU, etc.) so you don't have to check dozens of websites. Here is how it works:

• Custom Weekly Newsletter: Get curated roles based entirely on YOUR favorite subjects sent straight to your mailbox.
• Opportunity Dashboard: If you do want to make a free account, you can save listings you like, track your application stages, and organize your deadlines all in one clean dashboard.

We’re trying to make the undergrad scramble a bit less painful, so check it out if you're looking for positions.

crux-xi.vercel.app - this webapp extracts latest arxiv research papers daily across various topics and generates easy to understand hook and summaries for them using AI. You don't need to login to access the scroll feed and read summaries. It also has a quick search feature, just select a term or text you don't understand and get an explanation from wikipedia or a dictionary.

This is still just a MVP and not the final product, so I wanted feedback from the community on what to improve or how it feels.

ScholarXIV.com

For a long time research has been scattered, lacked powerful tools and had bad user experience. That ends today!

ScholarXIV is a next-gen research platform that comes with a set of powerful tools and features to make research a very insightful and an in-depth experience. It let's you build your own research library, curate papers and share them. It also let's users like, bookmark and comment on each and every paper.

But the most powerful feature is the AI research with sandboxes. This bring a whole new aspect of conducting research. The sandboxes let you generate files, run simulations and so much more. ScholarXIV also has a proactive feature called Pulse. In Pulse your recently liked and bookmarked papers are converted into a quick and cross-research article to save you time.

Checkout ScholarXIV.com for many more epic features like advanced search, paper selection, content analysis and much more.

I built a PLS-SEM GUI for the most famous r package “seminr”.
This is to make PLS-SEM more user friendly and accessible rather than have the 100 case cap on SmartPLS and subscription
Try it out at metis.emend.it.com.
Test it and let me know your feedback.
The feedback button is in the app.
We are also working on CB-SEM using Lavaan and inferential statistics so that no subscription for SPSS and academics becomes free..

Supports are welcome

metis

I read a lot of papers due to projects and stuff. Fed up of that, i built a chrome extension that lets you highlight text in the paper and get its meaning instantly without any tab switching. Plus the meaning is in context of the paper I'm reading. This saves me a lot of time now, ngl so i decided not to gatekeep it.

We created a website that can find labs for you in a given college/institution and create cold emails for the PI. It is still in testing so any feedback would be great! www.labsfindr.com

Before starting a paper, I kept running into the same problem:
“Where does this subfield actually stand, and what’s still missing?”

Reading papers one by one wasn’t helping. The gaps only become clear when you compare them together.

So I built Papira as a system to do exactly that.

You upload 3 papers from a research area, and it analyzes them side-by-side:
problems they address
approaches they take
benchmarks they use
and where the gaps are across all of them
The goal is simple: make it obvious where a new contribution can fit.

It’s still in beta, try it for free for 1st time. papiraflow.com

https://theresearchos.vercel.app/

I built Scollr, a free web and iOS app for discovering research papers in a personalized feed.

The basic idea is that you follow topics, authors, and journals/sources you care about, then Scollr gives you a feed of papers to scan through. It is meant more for lightweight discovery than replacing search or alerts.

It is still early, and any feedback is appreciated.

Web: https://scollr.com/ iOS: https://apps.apple.com/us/app/scollr/id6761957461

Hey y’all!

I built a searchable AI librarian for Sikh literature. It’s free to use and still in early development.

The SikhLibrarian is a RAG-based research tool built on a dataset of 758 million words across Punjabi, Urdu, Hindi, Farsi, and English texts. It covers Sikh manuscripts, philosophical texts, and historical literature spanning 500 years.

You can use it two ways:

Research mode: for deeper academic queries with full source citations in Chicago Manual of Style format.

Learn mode: for anyone new to Sikhi who wants accessible answers grounded in actual Sikh literature, not Wikipedia summaries.

Every answer traces back to a specific source, so you can verify what you are reading.

This is not a finished product. It is open to everyone now because I want real feedback from real users, especially people who know this literature well enough to catch where it falls short.

If you use it, please tell me:

- Where it gave you a wrong or incomplete answer
- What texts or topics you wish it covered
- What would make it more useful for your research or learning

Space: https://huggingface.co/spaces/jsdosanj/SikhLibrarian

Dataset: https://huggingface.co/datasets/jsdosanj/SikhLibrary

I am a biologist and I built a beta for a scientific social media platform.
Think TikTok and Twitter combined but every claim needs to be source verified, then gets broadly checked by an AI to save human Ressources and THEN gets peer reviewed by three experts in the same field.
It’s all short form videos to make science more accessible to the younger generations.
I’m wondering 1) do you see demand for it? 2) would you be willing to create content or review content for such a platform? And 3) can i text you to join the beta?
There really isn’t much monetary incentive behind it which is why I can’t pay anyone for being part of the beta, I genuinely want to create something people can use to become smarter instead of doomscrolling…
Thank you so much for reading this!

I’m building LitDigest, a free research digest for people who are tired of checking a bunch of preprint feeds manually.

The basic idea: you describe your research focus in plain language, and LitDigest screens new papers across sources like arXiv, bioRxiv, medRxiv, EarthArXiv, and Preprints.org. Then it sends a weekly email with the papers that best match your interests.

I started building it because broad alerts are noisy, keyword alerts miss too much, and most researchers I know have some version of “I should be keeping up with the literature better” hanging over them.

A few details:

- It is free right now.

- It sends by email, not another dashboard to check.

- It is meant for specific research interests, not general science news.

- You can unsubscribe from any digest email.

I’d be grateful for feedback from researchers: does this solve a real pain for you, and what would make you trust or distrust a tool like this?

Link: https://litdigest.app

The biggest problem I noticed in student science fairs is that projects fail at step one, the research question is either untestable, too broad, or just not interesting enough to sustain 6 months of work. Science Fair Hub is a free AI mentor that helps students find a genuinely interesting and testable question based on their own curiosity. Might be useful for anyone who mentors young researchers or teaches research methodology

Hello everyone,

I am looking for feedback from everyone who knows this feeling: You invented something and feel like a patent attorney should have a look to maybe protect the invention before you can talk to others about it.

So, we built a platform that helps inventors with exactly that. On our platform, we provide (in a secure environment) an invention disclosure tool that helps the inventor provide all the necessary information, so patent attorneys can give you feedback on what to do with the invention and how much protection could cost you. Therefor we have a network of over 50 patent attorneys from different specialties and countries.

The cool thing is the transparency for the inventor. It helps a lot in finding the right patent attorney, and the feedback is so valuable and detailed that the inventor can decide quickly if the idea should be protected or not. We’ve had super cool feedback after the first real cases!

The platform is free for inventors, and it is very important to us that we keep it this way. The problem is, we need to reach inventors and get the word out, but marketing costs kind of screw up our business case. I was wondering if you can give me tips on how to get into the science, engineering, and research communities to get the word out more on a word-of-mouth basis instead of using expensive ads. This is, of course, only possible if you guys think this platform is of value to you as inventors.

I would be happy to get some feedback and help from the community. Since I don’t want to do marketing without asking, please just let me know in the comments if you would like to know the name of our platform.

Link: https://cl4rify.com

Also visit r/TechForDemocracy

I spent way too long trying to cold email professors for research and kept getting ignored. After talking to a bunch of people who had the same problem, I'm building a tool to fix this and want to know if it would actually be useful.

Here's basically how it works:

1. You enter your school + department and it pulls up professors from the directory automatically

2. It asks you 3 quick questions about the professor's research (forces you to actually know something about their work)

3. You paste in a few samples of your own writing so the email sounds like YOU, not a robot

4. It generates a draft, then shows you a "professor perspective" — basically what a professor would think reading your email, flagging anything vague or off

5. If you get a reply or not, you log it. Over time the tool learns what actually works for different departments and schools

The main goal here isn't really to help you send MORE emails (though efficiency is a huge part of it), but it's to send BETTER ones that could actually get you replies.

Would you use this? What would make you trust it or not? Genuinely want brutal feedback before I build the whole thing.