GPT-5
Show HN: Nightmarket – API marketplace where AI agents pay per call in USDC
Hey HN – I built Nightmarket because I kept running into the same problem building AI agents: every time my agent needed a new capability (weather data, enrichment, web scraping, whatever), I had to go sign up for a service, grab an API key, store it, figure out billing, and wire it all together. Multiply that by 10 services and it's a mess. Agents can't sign up for accounts. They can't enter credit cards. They can't manage API keys. But they can hold a USDC balance and pay p
Show HN: I parsed 10 years of Japanese corporate filings into an API
Hi HN,Japan is the world's 4th largest stock market, but its financial data is stuck in the 90s. Corporate filings go through EDINET — a government system that stores everything as XBRL in Japanese, with 3 different accounting standards (JP-GAAP,IFRS, US-GAAP), company-specific taxonomies, and no usable API.I've been working with Japanese XBRL filings for 2 years. I built a parser that normalizes all of it into structured JSON. Axiora now covers 4,125 listed companies with ~10 years of
Show HN: Turn – A compiled systems language for agentic computation
Hey HN,Over the last few years, we’ve seen an explosion of Python and TypeScript frameworks trying to wrangle LLMs. The problem is that they are bolting non-deterministic, probabilistic compute onto deterministic, sequential languages. You end up with 500 lines of Pydantic models, JSON-parsing retry loops, and async spaghetti just to coordinate two agents.I built Turn (https://turn-lang.dev) to solve this at the language level. It is a statically-typed, compiled language with a custom
Launch HN: OctaPulse (YC W26) – Robotics and computer vision for fish farming
Hi HN! My name is Rohan and, together with Paul, I’m the co-founder of OctaPulse (https://www.tryoctapulse.com/). We’re building a robotics layer for seafood production, starting with automated fish inspection. We are currently deployed at our first production site with the largest trout producer in North America.You might be wondering how the heck we got into this with no background in aquaculture or the ocean industry. We are both from coastal communities. I am from Goa, India a
Show HN: Independent monitoring of AI API reliability
Hey HN,
I’m conducting an experiment for certain models that I’m using often.<p>Here are the findings:
• Google Gemini 2.5 Flash: 595 ms avg
• Anthropic Claude Opus 4.6: 1887ms avg
• OpenAI GPT-4.1 Mini: 976 ms avg.<p>Planning quarterly deep-dive reports with P99 latency, TTFT, regional performance, and cost analysis for potential weekly/monthly insight reports. Let me know what else can be improved. Thanks
Show HN: CosmicMeta – Daily AI and tech analysis with a humanization pipeline
I built CosmicMeta.ai, a tech platform that publishes daily analysis on AI,
machine learning, and emerging tech.The interesting technical bit: every article goes through a two-pass
humanization step that detects and rewrites 24 specific AI writing patterns
(significance inflation, copula avoidance like "serves as" instead of "is",
em-dash overuse, formulaic conclusions, etc.). It's based on research from
the blader/humanizer framework.Tech stack: Spring Boot, OpenAI
Show HN: Smart-commit-rs – A zero-dependency Git commit tool in Rust
Hey yall,I wanted to share *smart-commit-rs*, a fast, lightweight cross-platform TUI I built to facilitate managing git commits, including generating messages via LLMs.Here are some of the main features:* *Convention following:* The tool by default will generate commit messaged according to the Conventional Commit standard, and optionally according to Gitmoji as well.
* *Extensive LLM Provider Support:* Built-in integration for Groq (default), OpenAI, Anthropic, Gemini, Grok, DeepSeek, OpenRoute
OpenAI CEO Sam Altman shares Anthropic’s concerns when it comes to working with the Pentagon
ChatGPT maker OpenAI has the same redlines as Anthropic when it comes to working with the Pentagon, an OpenAI spokesperson confirmed to CNN.
Anthropic Labeled a Supply Chain Risk, Banned from Federal Government Contracts
The Trump administration barred Anthropic from federal contracts after it refused to remove limits on AI use for domestic surveillance.
Trump says he plans to order federal ban on Anthropic AI after company refuses Pentagon demands
President Trump plans to ban Anthropic AI from government use following a dispute over military applications and safeguards, calling the company "radical left." ...
Donald Trump Makes Major Anthropic Announcement Amid Pentagon Battle
President Trump directed agencies to phase out Anthropic technology amid a dispute over Pentagon access to its AI systems.
AI executive Dario Amodei on the red lines Anthropic would not cross
The CEO of Anthropic says his company refused to allow its technology to be used by the Trump Administration without certain ...
Pentagon official lashes out at Anthropic as talks break down: "You have to trust your military to do the right thing"
The Pentagon's top technology official told CBS News the military has offered compromises to Anthropic, amid a feud over whether its powerful AI technology will be restricted — but Anthropic called the offer inadequate.
Show HN: GitPop – open-source AI Git context menu for Windows (OS X coming soon)
Hi everyone,I built GitPop, an open-source, lightweight Windows File Explorer extension that brings a fast Git interface right to your context menu.The problem: I got tired of opening heavy IDEs (like VS Code) or bulky GUI clients just to make a quick commit, but I also wanted the nice visual diffs and staging checkboxes that terminal workflows lack.The solution: When you right-click any folder with a .git repository and select "GitPop Here", it instantly launches a sleek, dark-mode UI
Show HN: Epstein-Search – Local, AI-Powered Search Engine for the Epstein Files
Hi HN,
I built epstein-search, an open-source Python CLI and library to run semantic search and RAG over the publicly released Epstein Files (unsealed court documents, depositions, FBI reports, and flight logs).
I wanted a way to easily navigate through these thousands of pages of unstructured legal PDFs without relying on a paid third-party service or sending data back and forth to a cloud provider.
How it works under the hood:
Running epstein-search setup downloads ~100K pre-computed document
Show HN: Get GPT-5.2, Grok-4.1-fast, KimiK2.5 and more LLMs at half the cost
Hey I'm Vansh. I built frogAPI because I was tired of managing separate accounts and billing for every AI provider.It's an OpenAI-compatible API gateway. Swap your base URL to frogapi.app/v1, keep your SDK code, and pick from 9 models: GPT-5.2, GPT-5-Mini, GPT-5-Nano, DeepSeek-V3.2, Mistral-Large-3, Llama-4-Maverick, Kimi-K2.5, Grok-4.1-Fast, GPT-OSS-120B.Per-token pricing matches the source models exactly. The way it works out cheaper: every deposit is matched with free credits.
Show HN: Videolyti – Free video downloader with built-in AI transcription
I got tired of juggling three or four different sites every time I needed to download a video and grab the transcript. TikTok downloaders are plastered with fake buttons. YouTube converters redirect you through five pages. And actual transcription costs money.So I built Videolyti over a few months. You paste a URL from YouTube, TikTok, Instagram, Twitter, Facebook, Reddit, or Vimeo — it gives you the video file and a text transcript.The transcription runs OpenAI Whisper (large-v3) on my own serv
Show HN: Engram – Memory for AI coding agents (2.5K installs, 80% on LOCOMO)
Engram gives AI coding agents persistent memory across sessions. 2,500 npm installs in the first five days.
The problem: every Claude Code or Cursor session starts from zero. You re-explain your architecture, conventions, past decisions. CLAUDE.md helps but it's manual and doesn't scale.
Engram runs as a native MCP server. One command to install, SQLite backend, no infrastructure.
Three tiers of memory:Explicit: things you tell it to remember
Implicit: behavioral patterns extracted fro
Show HN: Tree, but for Token Usage
Treetok shows the token count for Claude and OpenAI in a directory structure. I built it because this one folder I was working in filled up the context window quick, and wanted to know why. I could have used line count instead, but I wanted more precision.<p>Through it, I learned that the same files in Claude cost 20-30% more tokens than OpenAI. So the same 200k context window in Claude is similar to 150k in Codex.
Show HN: MCP file tools silently eat your context window.I built one that doesnt
Hi, I am Anthony.Every token your filesystem tools consume is context the model cannot use for reasoning. Most MCP file servers are O(file size) on every operation: reads return the whole file, edits rewrite the whole file. The context window fills up before the agent gets anything meaningful done, and the problem compounds silently as your files grow.Chisel makes edits O(diff) and reads O(match). The agent sends a unified diff instead of a full rewrite, and queries with grep or sed instead of r
