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).
Your coding agent resends files, diffs, instructions, and logs it has already seen. Halv cleans that wasted context locally before each request reaches the model—so you keep the same CLI, login, model, and subscriptions while getting far more work from your plan. It supports Claude Code, Codex, Kimi, and GLM, with split terminals, multi-agent workflows, local sandboxing, a Crux code index, and a receipt showing the usage saved on every answer. Available on macOS, Windows, and Linux.
Hey Product Hunt — Pedro here, maker of Halv 👋
I built Halv after noticing that coding agents resend the same files, diffs, instructions, and logs on every turn. That repeated context burns through paid plan limits without improving the answer.
Halv removes the redundant context locally before the request reaches the model. You keep the same CLI, login, model, and workflow. Every answer includes a receipt showing what it cost and what it would have cost without Halv.
Halv also brings Claude Code, Codex, Kimi, and GLM into one multi-agent workspace with split terminals, local sandboxing, subagent tracking, and the Crux code index.
It is free to test, with no card or API key required. I would love your feedback—especially from developers who regularly hit AI coding plan limits.
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About Halv on Product Hunt
“Make your AI coding plan last twice as long.”
Halv was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #151 on the daily leaderboard. Your coding agent resends files, diffs, instructions, and logs it has already seen. Halv cleans that wasted context locally before each request reaches the model—so you keep the same CLI, login, model, and subscriptions while getting far more work from your plan. It supports Claude Code, Codex, Kimi, and GLM, with split terminals, multi-agent workflows, local sandboxing, a Crux code index, and a receipt showing the usage saved on every answer. Available on macOS, Windows, and Linux.
Halv was featured in Developer Tools (519k followers) and Artificial Intelligence (478.1k followers) on Product Hunt. Together, these topics include over 202.4k products, making this a competitive space to launch in.
Who hunted Halv?
Halv was hunted by Pedro Villaca. 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 Halv stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Pedro Villaca