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Bacon
The ad network that pays its audience
Bacon shows a tiny, labeled ad on a terminal surface while your AI coding agent is thinking and pays you half of what the advertiser pays. 🥓 What makes it different: Server-owned pricing — your cut is a floor, not a bid. Advertisers can't underpay you. Privacy by architecture — only a coarse intent label (auth, database…) ever leaves your machine. Never your prompts, never your code. This is a side hustle, not a paycheck — found money for time you're already spending waiting on your agent.
Top comment
Hey PH 👋 I'm Oscar, building Bacon solo right now. The idea: kickbacks.ai built spinner-ads + dev rev-share first, as a VS Code extension — full credit to them. I live in the terminal (Cursor, Orca, plain shells), so I built the terminal-native version as a personal challenge. Where it actually stands: Literally just launched it and im working the 2 sided network problem. I'm not pretending this is bigger than it is — the model only works if it stays honest about that. Would genuinely love feedback on: does the privacy/trust architecture actually read as trustworthy, or does the pitch need more? And is "found money while you wait" a compelling enough hook on its own? 🥓
About Bacon on Product Hunt
“The ad network that pays its audience”
Bacon was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #158 on the daily leaderboard. Bacon shows a tiny, labeled ad on a terminal surface while your AI coding agent is thinking and pays you half of what the advertiser pays. 🥓 What makes it different: Server-owned pricing — your cut is a floor, not a bid. Advertisers can't underpay you. Privacy by architecture — only a coarse intent label (auth, database…) ever leaves your machine. Never your prompts, never your code. This is a side hustle, not a paycheck — found money for time you're already spending waiting on your agent.
On the analytics side, Bacon competes within Advertising and Developer Tools — topics that collectively have 545.2k followers on Product Hunt. The dashboard above tracks how Bacon performed against the three products that launched closest to it on the same day.
Who hunted Bacon?
Bacon was hunted by Oscar Rivas. 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 Bacon including community comment highlights and product details, visit the product overview.