Show HN: 800x faster Linter and TypeScript-Go toolchain for plugins like typia https://ift.tt/TMUNsW1

Show HN: 800x faster Linter and TypeScript-Go toolchain for plugins like typia As a developer of typia, have to alive in the new typescript-go era, I made a new toolchain for tsgo. Making the ttsc, I understood that the new plugin toolchain system can dramatically reduce lint rule checking time by integrating into the typescript-go. So made `@ttsc/lint`, and its time is 600x to 1600x faster than eslint. From now on, when you compile TypeScript, lint violations would be caught in the same time. No more need to run both `tsgo` and `eslint` independently. > This repository is not v1 yet because the typescript-go has not been released yet, but if you wanna experience superfast lint, or keep using typia in typia era, you can do it right now. https://ift.tt/ZnfENl4 June 12, 2026 at 02:47AM

Show HN: I had Fable clone a game, it turned it into an arena combat AI trainer https://ift.tt/DTyJVEO

Show HN: I had Fable clone a game, it turned it into an arena combat AI trainer I started off with a simple goal: port the game Soldat to Typescript. I ended up not only with the game, but with a full system to train AI bots to play my own game, building a neural net to train new bot AIs from tens of thousands of simulated matches with different strategies. It also runs live all the time on my website and has a news dashboard and you can replay any game exactly. It all was a very fun way to dig into Fable's capabilities. The bill if I had done this with API billing? Nearly $2000. https://ift.tt/T8SYLxj June 12, 2026 at 04:55AM

Show HN: I built a lead list tool to find businesses you can sell to https://ift.tt/QlkEg8n

Show HN: I built a lead list tool to find businesses you can sell to https://ift.tt/ofvUJ20 June 12, 2026 at 12:41AM

Show HN: Workplane – collaborative files for agents (and humans) https://ift.tt/H1XuVaf

Show HN: Workplane – collaborative files for agents (and humans) A friend and I built this as a side project to help us collaborate on files with our agents. Claude / Codex kept outputting .md and .html files which are great until we needed to share them, so we built this small website to help with that. Agent can either use an HTTP + Skill or an MCP which also uses MCP Apps to add widgets to Claude Desktop / Mobile chat. Would love any feedback and hopefully this helps someone else as it did us! https://workplane.co June 11, 2026 at 03:15AM

Show HN: Claumon – forecasting Claude Code usage limits with a Gamma process https://ift.tt/YaTbv8D

Show HN: Claumon – forecasting Claude Code usage limits with a Gamma process Anthropic's usage analytics dashboard is only available to Team and Enterprise org admins. On a Pro or Max plan all you get is /usage and the claude.ai usage page, which show where you stand right now but not where you're heading. I looked at various open-source projects but none quite matched what I had in mind: an all-round control panel for Claude Code that's also a single binary, with no dependencies and no install steps. The other thing I cared about was forecasting the usage limits. Existing tools do burn-rate projections (ccusage) or percentile heuristics (Claude-Code-Usage-Monitor), which felt too simplistic for what I wanted - I was after a calibrated statistical model with proper credible intervals. I built claumon over the last few months in Go. It runs on Linux, macOS and Windows, with a Homebrew install. It has the usual consumption gauges, cost breakdowns and conversation history, plus two tabs for memory management: after a while I had memories scattered across several projects and wanted to see them in one place and prune the stale ones. In the last few weeks I focused on the forecast model. I started from an empirical-Bayes linear regression with Brownian noise, but ended up with a Gamma process for the path noise: token usage can't decrease over time, so Brownian motion, however mathematically convenient, was the wrong choice. The intervals are calibrated against your own recorded history, and there's tooling that scores the forecasts out-of-sample, so the coverage is checked rather than assumed. I wrote a formal, versioned spec for the model, and the implementation follows it: https://ift.tt/wd4LYjs... Everything runs locally - nothing leaves your machine. It's open source, MIT. I'd welcome feedback on the model especially. https://ift.tt/1ybkhqP June 11, 2026 at 01:05AM

Show HN: SpadeBox – Sandboxed tools and JavaScript runtime for AI agents https://ift.tt/8CX1KGh

Show HN: SpadeBox – Sandboxed tools and JavaScript runtime for AI agents https://ift.tt/s2Eq8SK June 10, 2026 at 11:26PM

Show HN: Drift – an embedding-model upgrade should be a rotation, not a reindex https://ift.tt/wWeQ1y7

Show HN: Drift – an embedding-model upgrade should be a rotation, not a reindex https://ift.tt/pv8trId June 10, 2026 at 02:08AM