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Intermediate Representation Object Notation is a Interpreter/Database that is used to create Programming Languages. GitHub - sjhalani7/vaen: Package your AI coding harness into a portable .agent file, and share it across repos, teams, & the community without ever having to copy-paste instructions, skills, MCP config, or secrets. Show HN: Gandalf the Grader Show HN: Citadeld – replay any CI failure locally from a single file GitHub - tdortman/cuSBF: High-Performance GPU Super Bloom Filter coral-ai/claude-code-token-xray at main · Coral-Bricks-AI/coral-ai GitHub - ulyssestenn/funes: Funes is a Git-based framework for LLM-managed knowledge work: an AI Librarian ingests raw sources, builds an interlinked Markdown knowledge base, and uses it to produce cited reports, analyses, and other outputs. 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GitHub - mrdanielcasper/CoreTex: A UNIX-inspired, biomimetic, flat-file AI harness and knowledge engine. GitHub - clemg/pierre-github: Pierre's diffs.com and trees.software for Github GitHub - lyriks-io/unspaghettit: Behavior-driven AI development without prompt spaghetti. GitHub - sofumel/claude-handoff-revive: Resume Claude Code work after rate/usage/context limits without replaying the prior transcript. Auto-saves at 90%/95% usage. Plugin-installable, 10 languages. GitHub - dotexorg/saferpc: Typed, end-to-end encrypted RPC over any bidirectional channel. GitHub - BeeZeeAgent/beezee: Agent harness orchestration Legato Next.js Boilerplate for Internal Tools · CoreUI GitHub - clark-labs-inc/clark-hash: Clark Hash, 32x smaller searchable sketches for embeddings GitHub - ZeroPointRepo/youtube-mcp: The fastest YouTube transcript + YouTube search MCP for AI agents. Try for free. Typing Mastery — climb toward 100+ WPM, deliberately GitHub - Andebugulin/Awareen GitHub - fayzan123/claude-workflow-composer: Visual desktop app for composing multi-agent coding workflows. Drag agents, attach skills and MCPs, wire handoffs, export to .claude/ GitHub - harshaneel/humanize: Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature. GitHub - StackOneHQ/stack-nudge GitHub - nodes-app/swift-markdown-engine: A native AppKit Markdown editor for macOS, built on TextKit 2 and bridged to SwiftUI. We hardened an LLM agent. Each defense we added made it more exploitable. GitHub - alkait/WhatsKept: Agent-queryable WhatsApp history from an iOS backup — a single Go binary. GitHub - octelium/cordium: Open-source, general-purpose sandbox platform for devs and AI agents that provides identity-based secure access to infrastructure without credentials. WAR.GOV/UFO Microfilm5 GitHub - scosman/videowright: Build animated explainer videos with your coding agent GitHub - dipankar/dscode: The code editor you can take apart. GitHub - zoharbabin/web-researcher-mcp: MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. GitHub - ruvnet/RuView: π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video. GitHub - scanaislop/aislop: Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 7 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed. GitHub - kouhxp/cheap-im: CPU-only voice agent approximating Thinking Machines' Interaction Models demo GitHub - unprovable/OrchidMantis: Orchid Mantis — standalone framework for Zero-Knowledge Proofs of eXploit (ZKPoX). GitHub - MarcellM01/TinySearch: Shrink the web for your local LLMs! GitHub - TangibleResearch/Halgorithem: A Algo designed to detect AI Hallucitions GitHub - DO-SAY-GO/freelang: I love freelang GitHub - CarpseDeam/Aura-IDE: An AI coding harness that shaped itself - Planner/Worker agents, repo awareness, surgical edits, validation, recovery, and safe diff approvals. GitHub - chojs23/concord: A feature-rich TUI client for Discord GitHub - tommyjepsen/awesome-ux-skills: UX & AI Product designs skills you can use today in Claude Code GitHub - aerf-spec/aerf: Agent Evidence Receipt Format (AERF) — an open specification for tamper-evident, independently verifiable records of AI agent actions. GitHub - kklimuk/docx-cli: CLI for AI agents (Claude, Codex) to read, edit, and comment on .docx files with full format fidelity. GitHub - Jwrede/tokentoll: Catch LLM cost changes in code review. Infracost for LLM spend. GitHub - samchon/ttsc: A `typescript-go` toolchain for compiler-powered plugins and type-safe execution + 500x faster lint integrated into compiler GitHub - Higangssh/homebutler: 🏠 Manage your homelab from chat. Single binary, zero dependencies. GitHub - olalie/tapmap: See where your computer connects and what stands out on a live world map. GitHub - Diplomat-ai/diplomat-agent: What can your AI agent do to the real world? Scan your code. See which tool calls have zero checks GitHub - Bajusz15/beacon: Open-source agent for secure remote access, monitoring, and deploys across home-lab and self-hosted machines like Raspberry Pi, N100, or any Linux server. Open web based TTY or tunnel Home Assistant and other local services securely without opening ports. BigTech AI News - Chrome 应用商店 GitHub - vinhnx/VTCode: VT Code is an open-source coding agent with LLM-native code understanding and robust shell safety. Supports multiple LLM providers with automatic failover and efficient context management. GitHub - michaelaz774/decision-engine: A decision operating system for startup founders, powered by Claude Code. Synthesizes wisdom from 25+ legendary founders and investors into interactive AI-driven decision frameworks. GitHub - Chrilleweb/dotenv-diff: Validate environment variable usage in your codebase GitHub - Lumen-Labs/brainapi2: BrainAPI is a knowledge graph–powered AI memory layer that transforms unstructured data into structured knowledge, enabling intelligent search, recommendations, and contextual memory for AI agents and applications. GitHub - familiar-software/familiar: Let AI watch you work. Familiar lets your AI update its memory, skills, and knowledge by watching your screen. GitHub - skorotkiewicz/rudo: A small, elegant dock for Wayland GitHub - muxshed/shed: One stream in, or many. Every destination, simultaneously. No cloud middleman, no per-channel fees, no limits. make sidebar/address bar rounded corner toggleable
Classer - High-performance AI classification
wdrezek · 2026-06-11 · via Show HN

High-performance
AI classification

Beats GPT-5.4 accuracy · up to 100x cheaper · real-time latency

No prompt engineeringNo training required

Text

Labels

billing×technical_support×sales×spam×

Built for our own apps. Now open to everyone.

The Problem

You're overpaying for most AI tasks

You need to sort a support ticket. Detect spam. Route a phone call. Tag a product image. So you:

1

Iterate Prompts

Rewrite "be accurate" 47 ways until the model stops making things up.

2

Debug Schema Violations

Catch the 15% of responses that ignore your output format.

3

Face the Bill

Watch costs explode when you scale past demo.

It works. But it's slow, expensive, and embarrassingly over-engineered for a task that should take milliseconds.

The Solution

A dedicated engine for classification at scale

We stripped away the "chat" and let the intelligence focus on: turning messy data into accurate labels.

1

No more prompt engineering.

Provide your labels and let the engine auto-calibrate. No "Act as" fluff, no manual tweaking.

2

Zero schema violations.

Pure classification means zero hallucinations. Get the right format, every single time.

3

10x lower overhead.

Scale without the "LLM tax." Built for high-volume apps where speed and margins matter.

It's precise. It's predictable. It's the specialized infrastructure for the 90% of AI tasks that don't need a chat interface.

Comparison

How we compare to General-Purpose LLMs

Benchmarks

Tested on 33 public datasets

Classer beats GPT-5.4-mini on the top classification benchmarks — with zero training data.

See all 33 benchmarks

The Journey

Start in 60 seconds. Improve without ML engineers.

1

Zero-shot

Just pass your labels. It works out of the box.

2

Monitor

See every prediction in your console. Inspect confidence scores. Spot edge cases.

3

Correct

Add class descriptions. Label a few examples, or let a high-reasoning LLM do it automatically.

4

Auto-improve

Enable auto-calibration. The system distills your data into a custom model that lives in your account.

You stay focused on your product. The model gets smarter in the background.

PRICING

Predictable, low-cost AI pricing

Pay for input tokens only. Choose the priority tier and save up to 8x vs public LLMs.

Free tier: 10M tokens/mo free - no credit card required

Enterprise: Need volume pricing or dedicated infra? Contact us

Fast Batch Processing

Millions of results in 15 minutes

No concurrency scriptsNo retry loopsNo rate limit workaroundsNo 24-hour waits

Just upload a file — up to 50 million rows per job — and get labeled results back at whatever scale your pipeline needs.

Lowest cost

If you don't need instant answers, Batch is the cheapest way to run Classer

See batch docs

Generative LLMs

OpenAI-compatible inference, your prices

Point any OpenAI SDK at api.classer.ai/v1 and pick the model that fits.

deepseek-ai/DeepSeek-V4-Flash

DeepSeek V4 Flash

1M context · text

ToolsJSON mode

Input$0.10Output$0.28

per 1M tokens

Open-weights workhorse for high-volume, cost-sensitive workloads.

Qwen/Qwen3.6-35B-A3B

Qwen 3.6 35B-A3B

256K context · text + vision

ToolsJSONStructuredVision

Input$0.15Cache read$0.05Output$1.00

per 1M tokens

Multimodal MoE with structured outputs and per-token cache discount.

moonshotai/Kimi-K2.6

Kimi K2.6

256K context · text + vision · reasoning

ReasoningToolsJSONStructuredVision

Input$0.70Output$4.00

per 1M tokens

Reasoning model with explicit thinking traces and image input.

View generative LLM details

FAQ

Frequently Asked Questions

Stop burning money

Get your API key in 30 seconds. First 10M tokens free.

Start Saving