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Liner Developer Platform
Build search agents with 10x cheaper web search
Liner helps developers build AI apps with search agents and lower-cost search tools. Add web search, academic search, cited answers, deep research, and visual answers to your product. Web Search starts at $1 / 1K requests — 1/10 of OpenAI’s public web search tool-call price.
I’m Stellar from Liner. Today we’re launching Liner Developer Platform, search agents for AI products, plus lower-level tools for teams that want to build their own workflows.
Most AI apps need more than model memory. They need to search fresh sources, cite evidence, research complex questions, and sometimes explain the answer visually.
Liner gives developers two ways to build that:
Agents 🔎 Search Agent — searched answers with citations and source evidence ⚡ Quick Answer Agent — fast, lightweight cited answers 📄 Deep Research Agent — multi-step research reports 📊 Visual Answer Agent — answers with interactive visuals
Tools 🌐 Web Search — structured web results 📚 Academic Search — scholar results and paper metadata 🧩 Visualization — turn queries into embeddable HTML visuals
We’d love feedback from people building AI search apps, copilots, agents, RAG workflows, and research tools.
Question for builders: would you rather start with a ready-made search agent, or use lower-level search tools and build the answer flow yourself?
About Liner Developer Platform on Product Hunt
“Build search agents with 10x cheaper web search”
Liner Developer Platform was submitted on Product Hunt and earned 41 upvotes and 5 comments, placing #20 on the daily leaderboard. Liner helps developers build AI apps with search agents and lower-cost search tools. Add web search, academic search, cited answers, deep research, and visual answers to your product. Web Search starts at $1 / 1K requests — 1/10 of OpenAI’s public web search tool-call price.
On the analytics side, Liner Developer Platform competes within Developer Tools, Artificial Intelligence and Search — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Liner Developer Platform performed against the three products that launched closest to it on the same day.
Who hunted Liner Developer Platform?
Liner Developer Platform was hunted by Stellar Kang. 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 Liner Developer Platform including community comment highlights and product details, visit the product overview.
Stellar Kang
Hey Product Hunt 👋
I’m Stellar from Liner. Today we’re launching Liner Developer Platform, search agents for AI products, plus lower-level tools for teams that want to build their own workflows.
Most AI apps need more than model memory. They need to search fresh sources, cite evidence, research complex questions, and sometimes explain the answer visually.
Liner gives developers two ways to build that:
Agents
🔎 Search Agent — searched answers with citations and source evidence
⚡ Quick Answer Agent — fast, lightweight cited answers
📄 Deep Research Agent — multi-step research reports
📊 Visual Answer Agent — answers with interactive visuals
Tools
🌐 Web Search — structured web results
📚 Academic Search — scholar results and paper metadata
🧩 Visualization — turn queries into embeddable HTML visuals
We’d love feedback from people building AI search apps, copilots, agents, RAG workflows, and research tools.
Question for builders: would you rather start with a ready-made search agent, or use lower-level search tools and build the answer flow yourself?