The myGeeKy badge: the name inside a ring of two arms hugging

myGeeKy

Find friends · collaborate · away from noise.

Your corner of GitHub, for research: the people, projects, papers and pulse of your field,
found from your CV, repos, ORCID and Google Scholar, in one small glass panel on your screen.

For researchers who build things at a computer.
_{💻 computer scientists and developers · 🧬 bioinformaticians and data scientists ·
📊 experimental researchers analysing their own data}
_{Code, data, statistics, figures and pipelines. Never laboratory protocols or bench instructions:
why.}

Auto-follow: never Telemetry: none

▶ Watch the video · Website · Get started · Every tab · Tokens · Safety · Full guide

Three myGeeKy panel tabs: People likely to follow you back, what myGeeKy knows about you, and research rising in your field

_{Real screenshots, real data: people likely to follow you back · what myGeeKy knows about you · research rising in your field.}

A geek in a hoodie working on a laptop against a brick wall, a myGeeKy sticker on the lid: find friends, collaborate, away from noise

Why this exists: I don't have Facebook. I wanted a real circle in my field: people I can genuinely learn from (and who might learn something from me), projects where my work would be welcome, and a feel for where the field is moving. GitHub has all of that, but scattered and buried under famous accounts. myGeeKy gathers it in one place, away from the noise, and never acts for you.

Find friends who work on what you work on. Collaborate on projects that welcome you. Do it away from noise: no feed to scroll, no likes, no posting, nothing that follows or stars for you.

_{Every tab, in 20 seconds}

✨ What it does for you

👥 Finds your people. Researchers who share your work and are likely to follow you back. It skips celebrities, mass-followers and dormant accounts.

🛠️ Finds projects that want you. Active repos in your field with starter issues, ranked by how often their maintainers merge outside pull requests.

📈 Feels the pulse. Your field's repos as a daily stock race (stars, commits, PyPI downloads, who moved up), 🤗 Hugging Face models trending in your field, and new Product Hunt launches.

🔬 Reads the literature. Papers gaining citations fastest, new tools with their code, and the people behind them. One letter, one meaning: 🟩 P a paper, 🟨 N in the news, 🟦 D discussed on Hacker News, 🟪 A an announcement.

🗞️ Brings the news. Headlines from AI labs, journals and the tech press, ranked for your work, plus new arXiv, bioRxiv and Hacker News items about your topics.

🙏 Says thanks, privately. Small signals between myGeeKy users (thanks, "I learned from your work", "I used your tool"), sealed so only the recipient can read them. No reply is ever expected, and 🤝 "let's collaborate" only shows up if you both choose it.

🙋 Finds you helpers. Invite contributors to one of your repos: the skills you need and a sentence. Nobody is targeted. Each user's own myGeeKy decides whether your call fits their work, on their own device, and people who fit say "I'm in", privately, with the skills that matched. A thin "Your field" ruler (unfold it into a radar) shows everyone on Signals and every call, closer when they're closer to your work.

🏅 Rewards you for using it. Badges under your name (Regular, Clicker, AI Fan, Analyst, Model Hunter, Networker…, in bronze, silver and gold), next to your GitHub achievements.

🧭 Gives you a road map. Any skill becomes ordered steps, with the repos, papers, books and guides for each one -- and a quiz that skips what you already know. Reviewed protocols cover software and analysis: Git and GitHub, algorithms, your first web app, machine learning, a first pull request, R and Python for data analysis, GWAS, Nextflow, single-cell RNA-seq, images into numbers with Fiji, from Excel to R, statistics for experiments, figures for papers.

🏆 Lets you prove it, if you want to. Each protocol has a question bank; your best score is yours, on your own device. Nothing about you is shown anywhere unless you ask for it, from your own GitHub account.

🧠 Learns what you're into. Every click, follow, star and fork tunes it, and 🔭 20% of every list stays open for new territory.

🚀 Get started in 3 steps

_{▶ Watch the video: install, set up, and a tour of the panel}

🪟 Windows: one installer

Download MyGeeKySetup.exe (under Assets).
Click Next → Next → Finish.

You don't need anything installed first. It sets up Python and Git if they're missing (just for you, no admin rights), asks who you are, checks your tokens, connects private sync, and adds a Start-menu shortcut.

_{Windows may say "Windows protected your PC" (the installer isn't code-signed yet): click More info → Run anyway.}

🐧 Linux · macOS: one line

curl -fsSL https://mygeeky.org/install.sh | sh

It installs myGeeKy in its own folder (no sudo, no clash with conda or your system Python), adds it to your applications menu (on a Mac: Applications, so it's in Launchpad and Spotlight), then asks: set up in a window (the same as Windows: Next → Next → Finish, with Sign in with GitHub) or right there in the terminal. Run it again to update. More for Macs below.

🐍 Or with pip, anywhere

pip install mygeeky
mygeeky init      # who you are, then Sign in with GitHub
mygeeky gui       # open the panel   (mygeeky setup opens the setup window instead)

Only your GitHub username is required. Your CV, ORCID and Google Scholar profile are optional, and they make every match much better.

_{'mygeeky' is not recognized? Use python -m mygeeky: it offers to fix your PATH.}

Then, any time, from the panel or the terminal:

mygeeky run           # 👥 people in your field worth following
mygeeky contribute    # 🛠️ repos you could improve
mygeeky market        # 📈 what's rising in your field
mygeeky trends        # 🔬 papers and tools gaining traction
mygeeky news          # 🗞️ news about your interests
mygeeky beacon init   # 🙏 join Signals (optional)

🍎 On a Mac

One line: curl -fsSL https://mygeeky.org/install.sh | sh. It uses Homebrew's Python (brew install python), the python.org one, or macOS's own (after xcode-select --install), and puts myGeeKy.app in ~/Applications: open it from Launchpad, Spotlight or the Dock.
With uv: uv tool install mygeeky --with PySide6-Essentials, then mygeeky setup. Update with uv tool upgrade mygeeky (the panel's Update button does that for you).
Your tokens live in the macOS Keychain (look for "mygeeky" in Keychain Access), never in a file.
At login and every Monday: tick them at the end of setup, or run mygeeky desktop install --autostart and mygeeky schedule install --yes. Both are small launchd agents in ~/Library/LaunchAgents.
Uninstall: ⚙ → Uninstall… in the panel, or mygeeky uninstall. It removes the app, the login item, the weekly run and the package. Your data stays unless you choose to erase it too.

🔑 Two tokens, two jobs

myGeeKy uses two separate GitHub tokens with very different powers. Setup checks what each token can actually do (with tests that change nothing on GitHub), and refuses a token that doesn't fit its job.

	🔍 Token 1: read-only	✍️ Token 2: Signals (optional)
What it's for	Reading public profiles, repos and followers	Writing your `mygeeky-beacon` repo, and nothing else
Repository access	Public repositories	Only select repositories → `mygeeky-beacon`
Permissions	Account → Followers: Read-only	Repository → Contents: Read and write
Refused if…	it can write to any repo, can follow people, or is your Signals token	it can't write to `mygeeky-beacon`, or is token 1 again
Made with	new fine-grained token ↗	the same page, after the repo exists

Both live only in your OS keyring (Windows Credential Locker / macOS Keychain / Secret Service), never in a file. myGeeKy reminds you a week before either one expires, and mygeeky auth status shows what each can do.

🪟 Every tab

Live _{Your circle's activity and top suggestions, scrolling live}	People _{Likely to follow you back, plus domain experts. Click to open; you follow by hand}	Repos _{Projects in your field with starter issues and maintainers who merge}
Market _{Your field's repos as a stock race: stars, commits, downloads}	Market → Research _{Rising papers, their code, and the people behind them (OpenAlex)}	News _{Headlines from AI labs, journals and the tech press, ranked for your work; plus papers and discussions}
Activity _{One card per person: what they're building right now}	Signals _{Your field, calls for contributors, and private 🙏 📚 👀 from fellow users (example people)}	Model _{What myGeeKy knows about you: your interest map, what teaches it, room to explore}
Market → 🤗 Models _{Hugging Face models trending in your field, and everywhere}		Wall poster _{Print it for your lab or department (A3, PDF)}

The folded icon letting out small hearts
_{Folded, it's just a small icon on your screen edge that now and then lets out a few floating hearts (turn them off in ⚙).}

🌱 Grow, and 🎯 Chances

Two planets for what comes next in your career. Everything in them is matched to you on your own device; your 👍 and 👎 teach your model what to show you more and less of, and never leave your devices.

📈 Rising Skills
_{What's growing in your field and missing from you, with why}

🧭 Protocols
_{A road map for any skill; the step you're on makes room for itself}

🎯 Chances
_{Verified jobs, funding and conferences, gone after the deadline}

🏆 The Quiz tab
_{Every protocol's quiz in one place, with your best score on each}

🏆 A question, answered
_{Why that answer is right, and the source it was written from, with the sentence quoted from it}

🏆 Your score
_{How each level and each step went. Only your best counts, and it stays on your device unless you ask}

🌱 Grow

📈 Rising Skills. Skills, tools and methods growing in your field (in the rising papers, trending repos and models, and the people myGeeKy follows for you) that your profile, CV, papers and repos don't show yet. Each one says why: "in 5 repos near your work, 2 trending models; not in your profile yet".
🧭 Protocols. A skill as ordered stages, e.g. R for data analysis: R basics → statistics with R → R for data analysis → a real project to rerun → your own work.
- A level check skips what you already know. Your own repos are the evidence ("6 of your repos use R", which you can overrule); there's also a short quiz, or "I can do these".
- Reviewed protocols are written by myGeeKy's maker: 💻 Git and GitHub for working with others, algorithms and data structures, your first web app, machine learning outside a notebook, your first pull request; 🧬 R and Python for data analysis, GWAS, Nextflow, single-cell RNA-seq; 📊 and for anyone starting to analyse their own data: From Excel to R, statistics for experiments: which test, and why, figures your reviewers won't ask you to redo, images into numbers with Fiji.
- Never laboratory work. myGeeKy doesn't give bench protocols, steps, recipes or troubleshooting, and refuses to build one: a wrong line of R wastes an afternoon, a wrong line at a bench can hurt somebody, and myGeeKy can't review bench safety or know your local rules. Analysing what an experiment produced is welcome — that's what From Excel to R is for.
- For any other skill, myGeeKy builds one. It searches GitHub and papers, and a small model trained for this (about 400 KB, running on your device) sorts what it finds into stages.
- Change it as you like (reorder, rename, add and remove), then 📤 publish it: it goes to the maker as a public GitHub issue you send yourself, so it can become a reviewed protocol for everyone and teach the next model.
🏆 Quiz (its own tab in 🌱 Grow). 258 questions across all 14 protocols, ten drawn at random per attempt: half basics, then applied, and a few real pitfalls ("a band in the no-template control: what's the most likely cause?").
- Every question comes from a source, with the sentence quoted from it, and shows that source once you answer. Code questions are run, and sums (dilutions, master mixes, ΔΔCt) are recomputed, before a question is ever shipped.
- Only your best score counts, one attempt a day, and 🚩 drops a question you think is wrong.
- Nothing goes online unless you ask. If you want your score on mygeeky.org, you say so in two separate choices (your name, and your scores) and then write accept on a GitHub issue from your own account -- that's the proof, and withdraw undoes it. A score can follow you into a job application, so it's yours to decide; low scores are never shown at all.
📚 Learn. Free courses, books, tutorials and repos picked by hand, matched to you and your rising skills.
🎉 Wins. New ⭐ stars and 🍴 forks on your repos, and new 📚 citations of your papers, with the newest paper citing you. Checked once a day.
🤝 Collaborators. Fellow myGeeKy users whose skills complement yours: they bring what you don't, and you bring what they don't. Asking is the sealed 🤝 signal, which they only ever see if they pick you too.

🎯 Chances

Verified jobs. PhD places, postdocs, master's places, research jobs and internships, each one checked by hand to be real -- for labs and for software teams.
Funding and conferences. Grants, fellowships, travel grants and conferences, with who can apply and what students get.
Each one disappears after its deadline. A 🚩 tells the maker a listing looks fake.

They're curated by hand (how: docs/CURATED.md), and nobody, not even the maker, learns what you looked at.

📱 On your phone

Your world, in orbit: you in the middle, your circle (Live, People, Activity, Signals) on the inner ring and the world (News, Papers, Repos, AI models, Launches) on the outer one, plus 🌱 Grow and 🎯 Chances. Spin a ring with your thumb; the planet that locks into the lens opens above. Tap something to read and the rings fold into a slim dock.

The myGeeKy phone app: the orbit, the news, and reading with the rings folded

_{Live: new faces and moves around you}

_{People: spin to your circle}

_{Reading: the rings fold away}

_{You: your model, badges, settings}

Set it up in one scan (⚙ → Connect your phone on the desktop panel), or Sign in with GitHub. For Android, coming to Google Play soon.

🔤 Keywords that mean something

Add AI and myGeeKy also looks for LLMs, deep learning and AI agents; add GWAS and it brings in genomics and statistical genetics. A small model reads which GitHub topics go together across the most-starred repos, and builds a keyword dictionary that every myGeeKy uses.

🟢 Green keywords are in the dictionary: they bring their whole meaning to People, Repos, Research and News.
🔴 Red ones aren't yet: they still work as plain words, and they're passed on (through your Signals beacon, or with one click as a suggestion) so the next dictionary learns them.

mygeeky keywords add AI "single cell"   # or in the panel: Model → 🔤 Your keywords
mygeeky keywords explain gwas           # what it brings in, and how strongly

🧠 It learns, and keeps room to explore

Everything starts from your research field: topics from your papers (OpenAlex), your Google Scholar interests, and your repos. Then it watches what you actually do:

You…	It learns…
click a person, repo, paper or news item	a little
⭐ star or 🍴 fork a repo	more
follow someone	the most

Interests fade with a 30-day half-life, so it follows you as you change. And 🔭 20% of every list is deliberately kept for fields you've never touched, so you don't end up in a bubble.

A separate model learns who follows you back, from your own history, and gets sharper every week.

_{The Model tab: you in the middle, your field, what you're into lately, and new territory}

🔒 What it will never do

Never follows, stars, forks or comments for you. There is no code for it anywhere in the project. You look, you click, you act yourself on github.com.
No server, no account, no telemetry. It talks only to GitHub and public research APIs (OpenAlex, arXiv, bioRxiv, Hacker News, PyPI).
Your data stays yours: on your computer, plus (if you choose) a private GitHub repo you own for sync.
Tokens only in your OS keyring, checked for least privilege, never logged or printed.

Details: Safety.

💡 Ideas, problems and questions

Click 💡 at the top of the panel (or run mygeeky idea "your idea"). Pick Idea, Problem or Question, and your browser opens a ready-to-send issue in myGeeKy-ideas. Click Submit to send it. Nothing is sent until you do, and no token passes through myGeeKy. Issues there are public, so leave out tokens and private data.

Rather write privately, or no GitHub account? Email support@mygeeky.org.

🎓 No GitHub account? Start with ORCID

GitHub is optional, and it is not the smaller half. In setup, on the computer or the phone, Sign in with ORCID (or type your ORCID iD, or a few keywords), and these work straight away for your field: 🎯 Chances (verified jobs, funding, conferences and seasons), 🌱 Grow (rising skills, protocols, the quiz), 📰 News, 📄 Research, 📈 Market and 📦 Repos to improve -- the last two search public repos against your field and never read your account, which is why they need no GitHub.

What does need an account: who'd follow you back (it is scored against your own account), 🕒 Activity (the feed of people you follow), 📡 Signals and 🤝 Collab -- plus syncing to your phone, which travels through your own private GitHub repo. The other half of 👥 People -- researchers found by searching your field -- works without it. Signing in with ORCID only confirms your iD: myGeeKy never sees your ORCID password and keeps no ORCID token.

If myGeeKy hits an error, it saves a crash report on your computer and offers to send it. You see exactly what's in it (tokens, emails, your name and folders already removed), and Report on GitHub opens a prefilled issue that you submit yourself. Nothing is ever sent automatically. How myGeeKy is checked for stability before each release is in stability/PROTOCOL.md.

📚 The full guide

Everything else is in docs/GUIDE.md:


How it works	Finding people	Repos to improve
Market board	Research trends	News
Your profile	Signals, step by step	Sync across computers
Updating	Token expiry	Troubleshooting
The panel	All settings	Scripts & AI agents
Grow and Chances	How quizzes are written	Scores on the website

License

MIT. Made with ❤️ for researchers who build things at a computer.

Metadata

Release files for mygeeky 0.26.1

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Source distribution for mygeeky 0.26.1
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mygeeky-0.26.1.tar.gz	1.8 MB	Oct 16, 2026	Without provenance	Details

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Table of built distributions (wheels) for mygeeky 0.26.1
File	Interpreter	ABI	Platform	Reset
mygeeky-0.26.1-py3-none-any.whl 1.7 MB Oct 16, 2026 Without provenance	Python 3	none	any	Details

Total release size: 3.4 MB

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Uploaded via	`twine/7.0.0 CPython/3.12.10`

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