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Hacker News - Newest: "AI"

Frello — A small revolt against bloated software AI is changing the internet forever I let an AI agent loose on my network – it owned my supply chain in 12 minutes GitHub - ogulcancelik/herdr: agent multiplexer that lives in your terminal. fifa2026 GitHub - openclaw/openclaw: Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞 AI doesn't divide developers — it just reveals them greenvilleAI.coffee · Gloomy Doomy Ask HN: Where AI Researchers Congregate? Show HN: Directionally bad – a newsletter about risks of AI centralization The AI Great Leap Forward (a warning) AMD's Lemonade SDK For AI Promotes macOS To GA Status, ROCm 7.13 Integrated Embedded acoustic AI with <16ms latency running on 8MB RAM Does anyone in your organisation own "correctness" in your AI products? Return on Intelligence, Part 3: Moats | rebecca powell GitHub - monkidy/ai-ops-sop-pack: Documentation-only SOP pack for bounded AI-agent engineering operations: PR audit, crash recovery, handoff discipline, templates, and stop conditions. AI Was Used to Recreate the Voices of Dead Pilots. The NTSB Responded by Locking Down Its Database. - Fire ... AI Visibility Engineering Glossary — AIMENSION™ Terminology AI-Declaration.md 10 AI Prompt Examples and Techniques for Better AI Outputs in 2026 Is U.S. AI Adoption Plateauing? A Comprehensive Analysis Is AI Becoming Too Smart for Its Own Good? [audio] ThinkLLM — Think through your LLM choices Show HN: Waiting for AI Grand Prix racing SIM? Me too So I made one How the Library of Congress is using both AI and volunteers to unlock public broadcasting history Verification Tree Architecture: A Probabilistic Attention Orchestration Framework for Bug Report Management in the AI Era Let Me AI That For You The dominant paradigm in AI development is scale. Bigger models, more parameters, more compute. PHI // DRIFT is a different bet. It's a cognitive middleware architecture built on a single thesis: that distinct, continuous, contextually coherent behavior in an AI companion emerges not from model weights alone — but from what is assembled into the prompt, what is retrieved from memory, and what structured state is updated between turns. Five architectural contributions: DMU — Decision Memory Unit. Replaces cosine similarity retrieval with exp(-t/τ) × reinforcement × contextual × extra. Memories are scored by what mattered to the system's ongoing state — not just what was semantically adjacent. Ablation confirmed 14.8% more context injected per prompt than cosine-only RAG. On CPU-only hardware that's a 45.4% latency difference. PEDI / DII — Persistence-Embodiment-Drift Index. A five-component falsifiable proxy metric for behavioral continuity across context resets. Not a claim about consciousness. A measurement Is AI Profitable Yet? Chemical & Engineering News What it takes to run an AI coworker on iMessage 94% will keep spending on AI even when it fails Purr - Apps on Google Play Ask HN: What to learn and do, that makes me least affected by AI in STEM? Second Brain — Your AI Tools Finally Remember You atom.plumocracy.com Cheap AI could derail OpenAI and Anthropic's IPOs The Future of AI-Facilitated Medicine I used $30,983 of AI tokens last month in Claude code on $200/mo plan Don't just 'quote' the AI Did Google’s AI agents really build an operating system for $916? AI and Doctrinal Collapse Two Loops: How China's Open AI Strategy Reinforces Its Industrial Dominance [pdf] Battle over WiseTech AI job cuts intensifies amid China staff accusations Provenance Exclusive: Departing Meta staffer posts biting anti-AI video internally amid mass layoffs GitHub - ppserapiao/mneme: the open, user-sovereign memory layer for AI. local-first · client-side encrypted · open protocol. your memory. your keys. every model. GitHub - Hades-HY-LI/ai-native-founder-playbook-skills: Provider-neutral AI agent skills for AI-native startup founders across Idea, MVP, Launch, and Scale. AI is minting new billionaires, and workers want their share GitHub - anomalyco/models.dev: An open-source database of AI models. Pivoting to reach a wider audience and hitting a 5-figure MRR Datapoint AI China: What I Learned from the AI Labs, Robotics Startups and Academia Home Why Tech Companies Are Quietly Cancelling AI Data Centers [video] On AI Maybe AI Bots Are (Mostly) Harmless ASK HN: AI was always a probability problem? Ask HN: How to get involved and meet people in AI in SF? AI users re-create dead pilots’ voices from crash investigation docs Linux Sound Subsystem Also Seeing Many Fixes Driven By AI/LLMs GitHub - GitMonsters/13-Impossible-ARC-Tasks-SOLVED: 13 ARC-AGI-2 tasks with 0% AI solve rate — solved by TranscendPlexity. NVARC, GPT-4, Claude, Gemini: 0/13. We got 13/13. Verified, deterministic Python solvers. Gen Z is not booing AI. It is booing its own job market AI #169: New Knowledge AI as a Design Medium Frontier labs don’t use most AI compute (yet) It's 2026...where are all the AI NPCs? Ask HN: Do people lie about why they hate AI writing on social media? CoreMem - Your context, any AI agent Sundar Pichai discusses AI search VICTORY: POLITICO agrees to shut down both AI tools at center of landmark arbitration AI's Plummeting Prices Are a Software Story, Not a Hardware One The Invisible Cliff: AI Development and Architectural Debt Show HN: AI-Mirror - Self-optimising ranking engine for modern web applications. Starbucks is ditching an AI inventory tool that kept miscounting milk and syrups Why lawyers keep citing fake cases invented by AI Microsoft reports are exposing AI's real cost problem: Using the tech is more expensive than paying human employees | Fortune How do AI chips work? [video] Navigating the New Frontier: AI's Role in Revolutionizing Mathematics and the Quest for Ethical Science Show HN: My dad is a forensic accountant. I automated ~62% of his job Trump's unsigned AI executive order Mdview.io – a Markdown viewer for AI era documentation Anti-"doomer" feedback derails Trump's AI executive order Agents League: The Esports-Inspired Hackathon Where AI Agents Battle for Glory The AI Superstars Who Say a 'Vibe Slop' Crisis Is Coming Show HN: Lilo – An open source personal AI assistant that lives in Telegram Cannes Film Cost $500k to Make. $400k Was AI Compute Costs Where to buy anything AI Powered Search Everyone is an AI Cop Now: What Happens When an AI-Generated Story Wins a Prestigious Prize On AI Coding Assistants | Winston Cooke China’s AI optimism isn’t what it seems AI errno(2) values Believe It Or Not, The Government Is Adopting AI to Make Your Life Easier Google plans to win the AI war Anime AI Studio | Create AI Anime Dramas & Videos from Ideas HN isn't swamped yet, just obsessed with AI · mahl.me OneHundredBiz — Financial Business Ideas with AI Tools An AI system to help scientists write expert-level empirical software Ask HN: We need a standard way to say how much AI was used in a PR Anthropic, Microsoft in talks for AI chip deal after $5 billion investment
CostHawk - Track AI Adoption, Cost, and Rollout Across Your Team
tech-pulse · 2026-05-23 · via Hacker News - Newest: "AI"

See who’s using AI,
what it costs, and what’s working.

One operating view for engineering, product, and finance leaders.

Works with the tools your team already uses

OpenAI logoOpenAI

Claude logoClaude

Gemini logoGemini

xAI logoxAI

Mistral logoMistral

DeepSeek logoDeepSeek

AWS Bedrock logoAWS Bedrock

Azure OpenAI logoAzure OpenAI

Use Cases

Choose the view that matches your role

CostHawk gives engineering, product, finance, and platform leaders a clear read on adoption, cost, and rollout momentum.

CFO

See AI cost before it sprawls

Tracked spend, local-tool value, and budget risk in one view.

Start trialSee CFO view

Private Team Benchmarks

Private team benchmarks that make adoption impossible to guess at

Turn individual usage into a shared operating view for adoption, consistency, breadth, and savings without turning your team into a public anonymized leaderboard.

Activity

Who is generating the most AI usage right now

Consistency

Who keeps usage steady day after day

Cache Efficiency

Who is creating the strongest savings signal

Adoption

Who is using AI tools across the broadest surface area

Private and secure by default

Scoreboards are scoped to your organization and protected by role-based access control. Only owners, admins, and authorized members can view rankings. Workspace member names stay inside this private internal view. The public leaderboard uses aliases only. It never uses real names, account names, or emails.

See benchmarks

Adoption & Visibility

One operating view for adoption, usage, and cost

See team habits, provider spend, model preferences, and rollout signal without stitching together local telemetry and billing portals by hand.

Team Adoption

Last 30 days

Adoption Rate

87%+12%

Active Engineers

34/39+5

Avg Sessions

6.2/day+18%

Team Spend

$3,847+12%

Features

Operational controls for adoption, cost, and rollout

Built for leadership teams that need one product surface across providers, local tools, wrapped keys, and finance-ready reporting.

Budget Alerts

Get notified before costs exceed your limits

Cost Optimizer

Find cheaper models without sacrificing quality

Savings Engine

Compare subscription vs. pay-per-use plans

Data Export

CSV, JSON, or formatted reports for invoicing

Admin API Connections

Connect provider admin keys, sync automatically

MCP Server

One command connects Claude Code, Codex, Cursor, and Gemini CLI

Wrapped Proxy Keys

Route API calls for attribution and spend limits

5-Minute Setup

Full visibility with no infrastructure changes

REST API

Access usage and cost data programmatically

Why CostHawk

Why AI leaders choose CostHawk

The visibility finance, product, and engineering need without building an internal reporting system from scratch.

Get the answer before the board asks

Know exactly who on your team is using AI, how often, and whether adoption is growing or stalling.

See the full picture in one place

Every provider, every engineer, every project — unified in a single dashboard instead of scattered across billing portals.

Built for action, not just reporting

Budget alerts, cost optimization recommendations, and savings analysis so you can act on what you see.

No procurement headache

Start a 30-day trial, cancel anytime, and get your team set up in under 5 minutes.

Ready to measure your team's AI adoption?

Create your account and get visibility in under 5 minutes.

Pricing

Know your team's AI usage. Control your AI spend.

Try it free for 30 days - cancel anytime.

Individual

$19/mo

1 person

30-day free trial

  • Personal AI usage dashboard
  • Claude Code, Codex, and Cursor sync
  • Desktop MCP connector
  • Email support
Most popular

$99/mo

2-100 people

30-day free trial

  • Everything in Individual
  • Team adoption roster
  • Project and team membership
  • Owner/admin org reporting

Enterprise

Custom

101+ people

  • Everything in Team
  • Custom integrations
  • SSO / SCIM
  • Dedicated support + SLA

Contact sales

For organizations with 101+ people or custom integrations / support.

Card required at signup. We won’t charge until your 30-day trial ends. Cancel anytime from the billing portal.

Trust & Privacy

Security-first by design

Whether you connect via Admin API keys, wrapped proxy keys, or MCP telemetry — your credentials are encrypted, we do not store prompt or code content, and you control what gets shared.

Connect local tools

One command authenticates your machine and installs the CostHawk MCP for Claude Code, Codex, Cursor, and Gemini CLI.

npm exec --yes costhawk@latest -- --login

CompatibleClaude CodeOpenAI Codex CLICursorGemini CLI

AES-256 key encryption

Admin API keys are encrypted at rest with AES-256-GCM. We never store or see your keys in plaintext.

Wrapped key isolation

Proxy your API calls through CostHawk. Your real provider keys never touch your codebase or client devices.

Local-first parsing

MCP telemetry is computed locally from supported developer-tool data directories before anything leaves your machine.

No prompt storage

We only persist usage metadata: token counts, models, timestamps, and hashed project IDs. Prompt and code content is never stored.

Preview before upload

Dry-run syncs show exactly what would be sent, with payload previews and optional file lists for full transparency.

Opt-in auto-sync

Automatic uploads are off by default. Enable with COSTHAWK_AUTO_SYNC=true and disable Codex sync anytime.

FAQ

Frequently Asked Questions

What is CostHawk?+

CostHawk is an AI adoption monitoring platform for engineering teams. It tracks who on your team is using AI tools, how much they cost, and how adoption is trending — across OpenAI, Anthropic, Google, and other providers.

How does CostHawk track my team's AI usage?+

CostHawk supports three integration methods: MCP telemetry (local-first, no admin keys needed), admin API sync for organization-wide data, or wrapped proxy keys that sit between your code and the provider.

Are Team Benchmarks private?+

Yes. Team Benchmarks are scoped to your organization and protected by role-based access control. Workspace member names are visible only to authorized members. The public leaderboard uses aliases only. It never uses real names, account names, or emails.

What providers does CostHawk support?+

OpenAI, Anthropic, Google, xAI, Mistral, Cohere, DeepSeek, Groq, Meta, Perplexity, Together, AWS Bedrock, and Azure OpenAI. We add new providers regularly.

Does CostHawk store my prompts or code?+

No. CostHawk only stores usage metadata: token counts, model names, and timestamps. We never see, store, or process your prompts, responses, or code.

How do I get started?+

Sign up, invite your team, and connect via MCP telemetry or admin API keys. The entire setup takes under 5 minutes.