This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Baron Buff
League of Legends AI Coach
Learn what to pick and ban, read win conditions and jungle pressure, and improve your decisions across every phase.
I started Baron Buff because I wanted to build something interesting with AI and machine learning, and League felt like a good place to experiment. There is a lot of structure in the game, but also a lot of chaos. Drafts, matchups, team comps, player habits, timing, and game state all matter, and the “right” answer is usually contextual rather than obvious.
It ended up being much harder than I expected. Solo building it from the ground up has been a real learning experience, especially once the project moved beyond “cool AI idea” into an actual product with a backend, desktop connector, real-time state, data pipelines, billing, deployment, and users in different countries.
One of the biggest lessons has been learning where AI coding helps and where it hits limits. It can move fast on isolated tasks, but distributed systems are less forgiving. Race conditions, stale state, WebSocket timing, background workers, and production edge cases still require careful reasoning and a lot of debugging.
The business side has also been more complex than I expected. Selling SaaS internationally means thinking about payments, taxes, localization, support, trust, pricing, and product messaging across different markets. None of that was obvious when I started.
I’m still early, and there is plenty to fix, but that is also what makes it interesting. Baron Buff started as a way to explore AI and ML in a messy real-time game, and it became a crash course in building a real product end to end.
About Baron Buff on Product Hunt
“League of Legends AI Coach”
Baron Buff was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #127 on the daily leaderboard. Learn what to pick and ban, read win conditions and jungle pressure, and improve your decisions across every phase.
On the analytics side, Baron Buff competes within Artificial Intelligence, Games and Entertainment — topics that collectively have 571.6k followers on Product Hunt. The dashboard above tracks how Baron Buff performed against the three products that launched closest to it on the same day.
Who hunted Baron Buff?
Baron Buff was hunted by Guilherme Lanna. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Baron Buff including community comment highlights and product details, visit the product overview.
Guilherme Lanna