Right now, there are american python developers following you on X. They chose to follow your account because something caught their attention - your content, your company, your perspective. But you have no idea which of your followers they are. X lumps new followers into group notifications like "47 people followed you", so the important ones get lost in the crowd.
Python developers are some of the most in-demand professionals in tech, building the backends, data pipelines, and machine learning models that power modern businesses. For recruiters, developer tool companies, and engineering leaders, identifying which Python developers are following a given account is a direct line to warm talent and engaged potential users.
Catch The Good Ones changes that. We monitor your X follower list and classify every new follower using customisable AI-powered filters you define in plain English. Python Developers surface immediately on your dashboard, with their profile data and classification. No more scrolling through thousands of followers hoping to spot someone relevant. You get a clean, filtered list of the american python developers who have already shown interest by following you. The next move is yours.
The United States is the largest market for this space, and some of the most influential people in it are on X right now.
See python developers that follow you on your dashboard
Python Developers discovered by Catch The Good Ones, classified and ready to act on.
@chrisnakamura_py
19.2K followers
Python developer & data engineer at Snowflake. Building ETL pipelines at scale. PyCon speaker.
@sarahokonkwo_py
28.4K followers
Python engineer at Palantir. FastAPI evangelist. Teaching Python on YouTube (50K subs).
@rajmehta_data
14.7K followers
Data engineer at Airbnb. Python, Apache Spark, and dbt. Automating everything.
@elenakuz_py
22.1K followers
Senior Python developer. Django core contributor. Writing about web performance and testing.
@marcuswright_py
11.5K followers
Python developer specializing in scientific computing. NumPy/SciPy contributor. Physics PhD.
@aminahassan_dev
16.8K followers
Backend Python developer at Stripe. Building payment processing pipelines. Asyncio enthusiast.
Get notified when a new python developer follows you
Get notified by email or Telegram the moment new python developers are discovered.
Gmail
Gmail
now
Catch The Good Ones
New python developers discovered:
Chris Nakamura (Senior Python Developer) - 19.2K followers
Sarah Okonkwo (Python Engineer) - 28.4K followers
...and 4 more
Telegram
Telegram
now
Catch The Good Ones
New python developers found:
Chris Nakamura - Senior Python Developer
Sarah Okonkwo - Python Engineer
Raj Mehta - Data Engineer
+ 3 more
Take action with these python developers
Recruit Python developers who already know your brand
When a Python developer follows your company account, they are already interested. Export their profile to your ATS or reach out directly on X. This is warmer than any job board.
We smart-compose a personalised DM so you can send it in one click.
Build a developer community pipeline
Export Python developers from your followers to CSV and import them into your community platform or CRM. These are people who opted in to hearing from you - the foundation of any developer relations effort.
| Name | Role | Followers |
|---|---|---|
| Sarah Chen | Venture Partner | 45.2K |
| Marcus Thompson | Managing Director | 28.7K |
| David Kim | Principal | 51.8K |
Track which content attracts developers
See which of your posts attract Python developer follows. When a technical thread brings in three new developers in a week, that is a signal to create more content like it.
New investor followers per week
Prioritise developer outreach with CRM data
Pull Python developer followers into Clay or your CRM via our API. Enrich with additional data and create targeted outreach sequences for hiring, partnerships, or beta testing.
How to reach python developers
You have found python developers in your audience. Here is the best way to contact them.
| Type of Person | Respond Best On | Data We Provide | We Provide Upload-Ready CSVs for Campaign and Enrichment Tools | Enrichable Data Points |
|---|---|---|---|---|
| Engineers & developers | Email and if not, then GitHub, X | X handleX DMNameCompanyCompany domain | EmailGitHub profile |
Catch The Good Ones: How it works
Six steps. From adding an account to a fully automated pipeline.
Add a tracked account
Add any public X account - your own, a competitor, a thought leader, a company. We start monitoring their followers immediately.
Define your search
Describe who you are looking for in plain English. "Investors with 10K+ followers" or "Female tech founders in fintech". Our AI maps it to filters.
Run a sync
Syncs run automatically on your schedule (up to 4x/day on Pro). Every new follower is classified by job role, personality, skills, and more.
Explore your matches
Your dashboard shows only the people who match your criteria. Full profile, job title, personality traits, and the date they followed.
Export and act
Download upload-ready CSVs for tools like Apollo, Hunter, and Snov.io. DM people directly on X. Or connect via our API and Zapier.
Automate it
Schedule regular syncs and let the workflow run for you. Set up automated actions via Zapier or our API. Choose your notification preferences so you never miss a match.
Is this you?
People who search for this typically fall into one of these categories.
Technical recruiters filling Python roles
You post about engineering culture, open roles, and technical challenges. Python developers follow you because they are interested. But your follower list is thousands of names with no context. You need to know which followers are the developers you are trying to hire.
See how it works for youDeveloper tools founders building community
You are building a tool for developers and posting about it publicly. Python developers are following you - potential users, advocates, and beta testers. Identifying them lets you turn followers into your earliest community members.
See how it works for youB2B companies selling to engineering teams
You sell infrastructure, monitoring, or DevOps tooling. The Python developers following you are potential champions inside their organisations. Knowing who they are lets you start conversations that turn into pipeline.
See how it works for youFrequently asked questions
How does Catch The Good Ones identify Python developers?
We classify every new follower of tracked accounts using AI that analyses their bio, recent posts, and profile data against your customisable filter dimensions. You define what matters in plain English - "Python developers", "backend engineers", "data engineers who use Python" - and the AI surfaces matches on your dashboard.
Can I filter for specific Python specialisations?
Yes. Your filters are entirely customisable. You can search for "Django developers", "Python data engineers", "FastAPI specialists", or any other description. The AI interprets your plain-English filters and classifies followers accordingly.
How is this different from searching on LinkedIn?
LinkedIn search finds people based on their profile. Catch The Good Ones finds people who have already shown interest by following a tracked X account. That signal of intent makes any outreach dramatically more effective.
How quickly will I see new python developers who follow me?
Depending on your plan, we sync your followers up to 4 times per day. When new python developers follow you, they appear on your dashboard within hours - classified against whatever filter dimensions you have defined.
What can I do once I find python developers who follow me?
You can DM them directly on X (they already follow you, so your message lands in their primary inbox). You can export to CSV, connect to 8,000+ apps via our native Zapier integration, or use our REST API to pipe data directly into any tool. The key insight is that this is warm outreach - they came to you first.
How do you identify American profiles specifically?
Our AI classification analyses bio text, location signals, and posting patterns. Profiles mentioning US-based organisations, American cities, or other geographic signals are identified accordingly. The classification catches clear signals but is not perfect for every profile.
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