Spend up to 85% less and run 3× longer coding agent sessions
Paritok compresses the tools, files, and history your coding agent sends. Save up to 85% on your token bill and run 3× longer sessions. Two commands, nothing lost, fully local.
We're Jiayu and Luzhuo, two engineers who got tired of watching our coding agents burn through tokens.
Here's what we kept seeing: your agent ships far more than the model actually needs. Full JSON for seventy tools when it will call two. An entire file when it needed one function. Debug output nobody will ever read again. And because the API is stateless, all of it goes back on every single turn, so the waste doesn't just cost you once, it compounds.
So we built Paritok, a non-destructive compression gateway powered by a code-native 4B model we trained on 45K real agent trajectories. It sits between your agent and the API and cuts three things before they leave:
• Tool schemas — 29K down to 8K per turn, no model involved, this one runs on CPU
• File reads and tool output — compressed to about a quarter of their size
• Stale history — turns beyond a recent window get summarized once your context budget fills, so the session never overflows into a lossy compaction
With Paritok, you can cut your token bills 25% on turn 1 to past 85% in long or saturated sessions, and run ~3× more turns in the same context window. Paritok now works with Claude code, Codex, Cursor, and anything OpenAI or Anthropic compatible.
Paritok will continue to enhance functionality and adapt user scenarios, while deepening its model capabilities.
We’re excited to share this with the PH community and would love your honest feedback.
Thanks for checking us out, and huge thanks to our hunter Chris Messina for hunting us!
— Jiayu & Luzhuo
About Paritok on Product Hunt
“Spend up to 85% less and run 3× longer coding agent sessions”
Paritok launched on Product Hunt on August 10th, 2026 and earned 234 upvotes and 28 comments, earning #3 Product of the Day. Paritok compresses the tools, files, and history your coding agent sends. Save up to 85% on your token bill and run 3× longer sessions. Two commands, nothing lost, fully local.
On the analytics side, Paritok competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Paritok performed against the three products that launched closest to it on the same day.
Who hunted Paritok?
Paritok was hunted by Chris Messina. 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 Paritok including community comment highlights and product details, visit the product overview.
Chris Messina
Hey PH community!
We're Jiayu and Luzhuo, two engineers who got tired of watching our coding agents burn through tokens.
Here's what we kept seeing: your agent ships far more than the model actually needs. Full JSON for seventy tools when it will call two. An entire file when it needed one function. Debug output nobody will ever read again. And because the API is stateless, all of it goes back on every single turn, so the waste doesn't just cost you once, it compounds.
So we built Paritok, a non-destructive compression gateway powered by a code-native 4B model we trained on 45K real agent trajectories. It sits between your agent and the API and cuts three things before they leave:
• Tool schemas — 29K down to 8K per turn, no model involved, this one runs on CPU
• File reads and tool output — compressed to about a quarter of their size
• Stale history — turns beyond a recent window get summarized once your context budget fills, so the session never overflows into a lossy compaction
With Paritok, you can cut your token bills 25% on turn 1 to past 85% in long or saturated sessions, and run ~3× more turns in the same context window. Paritok now works with Claude code, Codex, Cursor, and anything OpenAI or Anthropic compatible.
Paritok will continue to enhance functionality and adapt user scenarios, while deepening its model capabilities.
We’re excited to share this with the PH community and would love your honest feedback.
Try Paritok: https://www.paritok.com/
Join our Discord to talk with the team: https://discord.gg/SeBJE5Eucp
Thanks for checking us out, and huge thanks to our hunter Chris Messina for hunting us!
— Jiayu & Luzhuo