Earn my first recurring customer
The founder has not added a current challenge yet.
MLGatee
Developer Tools · built by Reet
Upload a trained model, or deploy it from your notebook in one line of Python. In about four minutes you get a key-protected HTTPS address that anyone you choose can call. No Docker, no servers, no pip.
Where is the first-customer funnel breaking?
WHO THEY ARE TRYING TO REACHData scientists and ML engineers at small teams (2 to 20 people, no dedicated MLOps or DevOps person) who train scikit-learn, XGBoost, LightGBM or CatBoost models in notebooks and need to hand them to a backend developer, product team or client as a live API. Right now they email notebooks or pickle files, or lose days
PROBLEM IN CUSTOMER LANGUAGEI trained a model in a notebook and now my teammate / client / backend dev needs to call it, and I don’t know how to get it from my laptop to a live API without learning Docker, cloud setup and servers. I end up emailing a .pkl file or notebook, and then it breaks because their package versions don’t match mine. I just want to give someone a URL they can hit.
CURRENT OFFERGo from trained model to a live API link you can send to anyone in about 2 minutes, free for your first model.
What the founder has actually tried.
Each entry keeps the audience, offer, result and next move together so “no sales” can be diagnosed instead of guessed at.
Experiment 1Oct 13, 2026
Audience: Data scientists and ML engineers at small teams (2 to 20 people, no dedicated MLOps or DevOps person) who train scikit-learn, XGBoost, LightGBM or CatBoost models in notebooks and need to hand them to a backend developer, product team or client as a live API. Right now they email notebooks or pickle files, or lose days
Offer: Go from trained model to a live API link you can send to anyone in about 2 minutes, free for your first model.
Next: Find 10 data scientists at small startups (2 to 20 people) on LinkedIn and r/datascience who recently posted about deploying a model or sharing a notebook. DM each one with no link and ask: “How do you currently get a trained model to a teammate or client as a working API?” Track how many reply, what tools they name, and whether anyone says they’d try a one-line deploy
What is MLGatee?
Upload a trained model, or deploy it from your notebook in one line of Python. In about four minutes you get a key-protected HTTPS address that anyone you choose can call. No Docker, no servers, no pip.
From shipped to recurring revenue.
✓Built
✓Launched
First users
✓First experiment
First recurring customer
$100 MRR
$1K MRR
More Developer Tools founders.
MLGatee: product, audience and early traction context.
MLGatee is listed in SkillChirp's Developer Tools category. This page documents the founder-reported stage, target customer (Data scientists and ML engineers at small teams (2 to 20 people, no dedicated MLOps or DevOps person) who train scikit-learn, XGBoost, LightGBM or CatBoost models in notebooks and need to hand them to a backend developer, product team or client as a live API. Right now they email notebooks or pickle files, or lose days), current offer, traction bottleneck, experiments and progress toward recurring revenue. Club status is a discovery signal, not an investment recommendation or independent revenue verification.