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).
LaunchLog
The log of what just shipped — engineered for AI citations
LaunchLog is a curated directory for indie makers, SaaS founders and dev-tool creators. The difference is under the hood: every listing ships a full schema.org graph, an llms.txt entry, and a content-negotiated markdown version — the page-level engineering that lets Google, Bing and AI answer engines (ChatGPT, Perplexity, Claude, Gemini) read and cite your product instead of hitting an empty JS div. Preview your listing for free — pay only when you publish.
Hey PH 👋 I'm Alex, solo founder.
I kept paying for directory listings — Futurepedia, BetaList, a few others — then noticed something: when I asked ChatGPT or Perplexity about tools in my category, none of those listings
ever got cited. Most directories serve client-side JavaScript. AI crawlers see empty divs and move on.
So I built LaunchLog around the opposite default. Every listing ships:
→ a full schema.org JSON-LD graph
→ an entry in llms.txt
→ a markdown version via content negotiation (Accept: text/markdown)
Same clean directory UX on the surface. Underneath, it's built so Google, Bing and the AI answer engines can actually parse and cite you.
You can preview your listing for free before publishing — you see exactly how it'll look, and only pay when you go live.
Still early and building in public. I'd love feedback on the AI-citation angle specifically: what would make you trust (and pay for) a directory in 2026?
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About LaunchLog on Product Hunt
“ The log of what just shipped — engineered for AI citations”
LaunchLog was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #79 on the daily leaderboard. LaunchLog is a curated directory for indie makers, SaaS founders and dev-tool creators. The difference is under the hood: every listing ships a full schema.org graph, an llms.txt entry, and a content-negotiated markdown version — the page-level engineering that lets Google, Bing and AI answer engines (ChatGPT, Perplexity, Claude, Gemini) read and cite your product instead of hitting an empty JS div. Preview your listing for free — pay only when you publish.
LaunchLog was featured in Marketing (464.5k followers), SEO (37.7k followers) and Artificial Intelligence (470.4k followers) on Product Hunt. Together, these topics include over 180.3k products, making this a competitive space to launch in.
Who hunted LaunchLog?
LaunchLog was hunted by Alex Bedeleu. 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.
Want to see how LaunchLog stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Alex Bedeleu