Tools Bench.

Product launches and open-source repos with enough signal to earn a second look.

Last Brew Time: Jul 16, 2026, 10:31 AM PT

Insight

Builders are distributing engineering judgment as installable Markdown, not SDKs

01.CODING SKILLS

02.DESIGN GUARDRAILS

03.MCP-NATIVE PRODUCT SURFACES

Featured

GitHub173.9K

mattpocock/skills

Skills for Real Engineers. Straight from my .claude directory.

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5 Claude Code skills I use every single day

Market Signal

Why It Has Market Pull

mattpocock/skills reached 174,000 GitHub stars in roughly five months — peaking as #1 GitHub Trending Repository of the Day and Week — driven by Matt Pocock's Total TypeScript brand and the breakout /grill-me skill that encodes senior engineering alignment before code is written. Independent testers report 20-40% reductions in time-to-correct-PR and 75% token savings from /caveman, with adoption spanning Claude Code, Codex, Cursor, and Aider without modification.

  • 174,000 GitHub stars in ~5 months; #1 GitHub Trending repo (March 2026); 15,300 forks
  • 22 composable skills covering planning, TDD, code review, architecture, and context handoff
  • Token savings: /caveman skill measured at ~75% token reduction by independent reviewers
  • Works across Claude Code, Codex, Cursor, Cline, and Aider — no lock-in
  • Creator Matt Pocock has 200k+ developer audience across Total TypeScript and AI Hero
  • Install in one command: npx skills@latest add mattpocock/skills

feedbacks

What People Are Saying

  • "It's the first prompt set I've actually kept using after week 2."Reddit r/ClaudeAI

  • "time-to-correct-PR was consistently 20-40% lower with the skills installed than without"Dev.to article

  • "My workflow is also highly inspired by Matt's skills. I use /grill-me for alignment."HN comment

  • "i use your skills everyday, especially grill-me and caveman. Saved me a lot of time!"GitHub Discussions

  • "If you do real engineering with an agent and you care about getting it right rather than getting it fast, this is a top pick."Dev.to article

  • "Nearly 23K stars for a collection of markdown files I guess they must be pretty good."X reply

  • "Most of Matt's skills aren't about generating code faster, but about thinking through problems more thoroughly before writing code."Dev.to article

GitHub35.7K

PostHog/posthog

🦔 PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.

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What is PostHog? (Official Demo & Tutorial)

Market Signal

Why It Has Market Pull

PostHog has become the go-to open-source product analytics platform for AI-native teams, reaching unicorn status ($1.4B valuation) in 2025 with $194M raised from Stripe, Peak XV Partners, and others. Its LLM observability suite — covering conversation traces, token costs, evals, errors, and natural-language querying — is used in production by Lovable.dev, ElevenLabs, and 65% of YC companies, at a claimed 10x cost advantage over dedicated LLM observability tools.

  • 35,773 GitHub stars with 531 contributors and daily releases
  • Series E: $75M at $1.4B valuation (unicorn, Sep 2025); total raised $194M across 7 rounds
  • 176,000+ companies signed up; ~$57.5M ARR at ~99% year-over-year growth
  • LLM Analytics features cover traces, token costs, latency, evals, and errors in a single platform
  • Used by Lovable.dev and ElevenLabs for AI observability in production
  • MCP server integration enables querying from Claude Code and Cursor natively

feedbacks

What People Are Saying

  • "We moved the bulk of our tracking to PostHog. It's so easy to integrate and share across the org."Product Hunt comment

  • "PostHog has been absolutely instrumental in the development and refinement of Acedit."Product Hunt comment

  • "PostHog has significantly transformed the way our team handles product analytics."Product Hunt comment

  • "Posthog is pretty good but very pushy towards using their SaaS. Self hosting is not really advertised on their main site."HN comment

  • "I think Posthog is incredible, and there's no way I will be able to compete with them on their full scope of features."HN comment

  • "Netdata chose PostHog — being open source means you can see the code and trust that the company will do things the right way."third-party comparison

  • "AssemblyAI switched to PostHog because Mixpanel's pricing caused them to throttle events."third-party comparison

Product Hunt640

Velo 3.0

Velo 3.0 is here, our third and biggest launch yet. Start with a screen recording or a prompt. Describe the video you need, and Velo writes the script, narrates it in your own voice, and builds the finished cut. It stays grounded in your company knowledge, from your docs and tools you connect through connectors and MCP. Edit by typing changes. Localize the finished video into 25+ languages in one click. Recording or prompt, Velo turns either into a polished video you can ship anywhere.

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Velo AI: The UNBELIEVABLE Way to Make Screen Demos in Seconds!

Market Signal

Why It Has Market Pull

Velo has shipped three major Product Hunt launches in under four months — v1.0 (#1 day, 722 votes), v2.0 (#2 day, Launch of the Week, 644 votes), and v3.0 (#2 day, 645 votes) — a cadence that signals both exceptional product velocity and strong repeat engagement. Its v3.0 differentiates with prompt-to-video (no recording needed), MCP-based company knowledge grounding, and one-click localization into 37 languages, with enterprise case studies showing 90% video creation time reduction at LTIMindtree.

  • Three consecutive Product Hunt launches (Apr, May, Jul 2026), each earning 640-722 upvotes
  • Enterprise traction: LTIMindtree case study shows 90% video creation time reduction, 75% fewer support tickets
  • MCP connectors let agents pull live knowledge from trackers, docs, CRM, and codebases
  • Voice cloning (VeloTwin) enables narration in the creator's own voice from a prompt
  • 37-language one-click localization for global SaaS teams
  • Enterprise tier includes SSO/SAML/SCIM, SCORM export, RBAC, and data residency options

feedbacks

What People Are Saying

  • "Velo keeps surprising me, just when I think they've nailed it, they ship something new and impressive."Product Hunt comment

  • "The knowledge-grounding piece is wow. Anyone can generate a clip. Knowing which of a company's scattered docs is the true one is the hard part."Product Hunt comment

  • "Prompt-to-video honestly sounds more useful than recording first for products that change every week."Product Hunt comment

  • "Velo is soo cool. As a founder I've been using a bunch of the products and always thought there was a gap — y'all solved it!"Product Hunt comment

  • "I tried Velo today after wasting hours re-recording a 5-minute video message."Product Hunt comment

  • "I gave Velo a quick try and was genuinely impressed — within minutes I had a polished video."Product Hunt comment

  • "I used Velo to make a video and I enjoyed building it. The process is straightforward."Product Hunt comment

Product Hunt180

Tiptap AI Toolkit

AI Toolkit is now in production-ready beta — and we’re giving 100 builders a free lifetime license. Chatbots are easy. Editing inside a rich-text doc in real time is deceptively hard. Skip months of engineering: Tiptap delivers a safe, reliable bridge between your AI and the documents where your team actually does its work. Sign up for a Tiptap account and join our giveaway: 100 users get a free, lifetime AI Toolkit license (100k tool calls/mo) in exchange for feedback.

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Meet the AI Agent for text editors – powered by Tiptap

Market Signal

Why It Has Market Pull

Tiptap AI Toolkit is a production-ready add-on from the makers of the 37,600-star open-source Tiptap editor — used by GitLab, Substack, and Anthropic's Claude interface — that bridges AI agents into structured document editing. Its 'Tiptap Shorthand' encoding reduces AI token costs by up to 80%, and server-side editing lets agents modify documents without an open browser, enabling async agent workflows at scale. The toolkit launched July 2026 on Product Hunt (#8 of the day, 180 upvotes) and has 20M+ monthly npm downloads on the underlying editor.

  • 37,600 GitHub stars for the underlying Tiptap editor (ueberdosis/tiptap); 979 releases
  • Used in production by GitLab, Substack, Anthropic (Claude interface), Notion, and Spotify
  • Tiptap Shorthand encoding reduces AI token costs by up to 80% vs. raw HTML
  • Server-side async editing: agents edit documents without an active browser session
  • Model-agnostic: works with OpenAI, Anthropic, Vercel AI SDK, LangChain, or custom stacks
  • Free tier includes 100k tool executions per month; enterprise supports compliance/governance/RBAC

feedbacks

What People Are Saying

  • "The focus on all that non-model-specific heavy lifting for AI in editors? That's the real MVP move here."HN comment

  • "Plugged it into a side project and had a collaborative doc running by lunchtime. The extension API feels really intuitive."Product Hunt comment

  • "Agents that keep working after the tab closes — this fills a critical gap in existing AI document tools."Product Hunt comment

  • "The ability to build a highly custom editor via TipTap's rich API, coupled with its strong React support, made it the clear choice."Product Hunt comment

  • "Tiptap is a great choice if you're building a custom editor and want full control. It's flexible, well-documented, and framework-agnostic."Product Hunt comment

  • "We use Tiptap AI toolkit to power the agent on Rezonant docs!"Product Hunt comment

  • "I think my favorite part is that it shows the before/after and allows you to accept changes!"Product Hunt comment

Sources

GitHub

Graphify-Labs/graphify

88.7K

AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.

lobehub/lobehub

80.0K

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

HKUDS/DeepTutor

26.8K

DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/ .

Product Hunt

V2Fun

670

V2Fun is an AI 3D creation platform built with self-developed 3D modeling and AI motion capture models. It helps creators turn images, prompts, and videos into high-quality 3D models, enhance assets with advanced 8K texture generation, and create motion-ready characters without switching between separate modeling, texturing, and mocap tools. V2Fun also supports image generation through models including Nano Banana and others, so creators can explore visual concepts and bring them into 3D faster.

Campus

443

Campus gives builders a shared space to build with teammates and AI agents. Keep your repo, terminal, project knowledge, conversations, and agent work together in one persistent workspace, instead of scattering context across Slack threads, docs, tickets, canvases, and one-off AI chats. Campus is organized around the thing you are building, so humans and agents can pick up where the work left off.

Agently

340

Every other tool answers, retrieves, or runs brittle rules. Agently holds your whole company in context and does the work. 100+ connectors flow into one brain that never forgets. It links a Stripe event to a Slack thread to a Linear ticket on its own. When something needs doing, Jarvis routes it to an agent that runs it end to end: triggered, running, shipped. The work lands without you, nothing falls through the cracks. Connecting takes minutes. The layer between today's AI and tomorrow's AGI.

Crustdata Recruiter

286

A set of recruiting skills that runs inside Claude on live data from 1B+ profiles from Crustdata. It learns your judgement with every search, ranks candidates the way you would, explains every candidate it picks, and drafts outreach into your ATS.

YAGNI

196

AI today is reactive: it waits for your next prompt. YAGNI is proactive agent Teams you manage like people. Give a Team responsibilities and guardrails, review its work, and it earns autonomy through a track record you can read, while you keep the calls that matter. Paste your company's URL and YAGNI drafts your first team in seconds. You aren't gonna need more software. You need a team that gets better every week. Become a self-improving company.

Flodesk Studio

194

Describe it, and Flodesk Studio designs a beautifully on-brand email in seconds. Built by top designers, accelerated by AI, finished by you. Free in beta.

YC Launch

Scalar Field | The agentic trading desk

4

Build, backtest, and deploy trading agents across equities, options, prediction markets, and on-chain assets. Scalar Field · Spring 2025 · Fintech Website: https://www.scalarfield.io/

Pluto - AI voice agent that helps professionals get discovered

5

Pluto is an AI voice agent that learns a professional’s story in a 10-minute conversation, makes them discoverable to the right people and AI agents, and creates warm introductions to startups when there’s a fit. Pluto · Summer 2026 · Consumer Tags: AI, Careers, Conversational AI. Website: https://talentpluto.com

Hacker News

FixBugs – Reproduce production bugs and verify fixes

41 pts

I built FixBugs, an agent that ingests the rich context surrounding production bugs to reproduce them in a sandbox and generate verified fixes. It's available in the form of a self-hosted VSCode extension and as a Github app: VSCode Extension: https://fixbugs.ai/go/vscode-extension - full code and data privacy. - zero data retention models opted out of training. GitHub App: https://fixbugs.ai/go/github-app - we do access your code temporarily. - pick a repo to install FixBugs on. What motivated... (41 points, 38 comments).

Oodle.ai – $10 per million agent traces

31 pts

Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet bo... (31 points, 12 comments).

I hated how much my 12-year-old played Roblox, so we built our own FPS

23 pts

I'm a father of two, 7 and 12. They are obsessed with Roblox, especially Rivals. Like a lot of parents, we did not love it. We tried the usual things: block it, limit it, set timers." It became a daily battle, a lose-lose situation. So I flipped the problem. Instead of fighting what they loved, I decided to lean into it, but with a twist. Why just play an FPS when you could build one together? My kids became the PMs. Claude and I became their engineer. I was shocked by how fast we moved. We pick... (23 points, 7 comments).

I built a smart proxy so your coding agent can run loose

14 pts

The only way to go fast is full YOLO mode in your coding agent. I've got the local sandbox figured out (pro tip: Incus VMs work great) but I wanted to keep my agents from doing things like inadvertently blowing up my cloud services or chasing a prompt to POST to some random website. I struggle most with this on my side projects where my permission model isn't quite as robust as it is at the office. I started with a firewall on the Incus container but every time the agent needed access to somethi... (14 points, 6 comments).

Policy enforcement for Claude Code, Cursor, and Codex

13 pts

Show HN: Runtime authorization for Claude Code, Cursor, and Codex Hi HN, Fernando and I built Kastra. Kastra intercepts AI agent tool calls and evaluates them against deterministic policies before they execute. This is aimed at developers using coding agents like Claude Code, Codex, Cursor, and OpenClaw. We built Kastra after one of our Cursor agents almost executed DELETE FROM customers WHERE status='test' against a production database. We caught it before it ran, but it made us realize that no... (13 points, 5 comments).

Ratel, give agents unlimited tools and skills without context bloat

11 pts

Hi HN! We're Giacomo and Roberto, authors of Ratel ( https://github.com/ratel-ai/ratel ) We used to help SaaS companies build agents on top of their products. Whenever we wanted to expand the agents’ complexity/scope, by adding more and more tools and instructions, we always run in the same issue: context bloat, with frequent hallucinations and sky high token bills. So we started constantly engineering the agents, dynamically loading tools, splitting them into subagents, inventing our own way to... (11 points, 9 comments).

HF Spaces

DeepSite v4

16.6K likes

Generate any application by Vibe Coding it DeepSite is a Vibe Coding Platform designed to make coding smarter and more efficient. Tailored for developers, data scientists, and AI engineers, it integrates generative AI into your coding projects to enhance creativity and productivity. DeepSite v4 is a Hugging Face Space tagged with docker, region:us. It has 16617 likes on Hugging Face.

Open LLM Leaderboard

14.0K likes

Track, rank and evaluate open LLMs and chatbots Modern React interface for comparing Large Language Models (LLMs) in an open and reproducible way. 📊 Interactive table with advanced sorting and filtering 🔍 Semantic model search 📌 Pin models for comparison 📱 Responsive and modern interface 🎨 Dark/Light mode ⚡️ Optimized performance with virtualization The project is split into two main parts: React Material-UI TanStack Table & Virtual Express.js FastAPI Hugging Face API Docker The application is containerized using Docker and can be run using: Open LLM Leaderboard is a Hugging Face Space tagged with docker, leaderboard, modality:text, submission:automatic, test:public. It has 14045 likes on Hu...

AI Comic Factory

11.2K likes

Create your own AI comic with a single prompt Last release: AI Comic Factory 1.2 The AI Comic Factory has an official website: aicomicfactory.app For more information about my other projects please check linktr.ee/FLNGR. If you like the AI Comic Factory, let me know! I am always creating new spaces and exploring new ideas for demos, meaning I don't have much time to take care of all of them (I wish I could clone myself or ask robots to do it). If you appreciate the AI Comic Factory and would like to leave a tip, that would be very kind 🫶 First, I would like to highlight that everything is open-source (see here, here, here, here). However the project isn't a monolithic Space that can be dupli...

Kolors Virtual Try-On

10.1K likes

Kolors Virtual Try-On is a Hugging Face Space tagged with gradio, region:us. It has 10130 likes on Hugging Face.

Wan2.2 Animate

5.1K likes

Wan2.2 Animate is a Hugging Face Space tagged with gradio, region:us. It has 5116 likes on Hugging Face.

MusicGen

5.1K likes

AudioCraft is a PyTorch library for deep learning research on audio generation. AudioCraft contains inference and training code for two state-of-the-art AI generative models producing high-quality audio: AudioGen and MusicGen. Installation AudioCraft requires Python 3.9, PyTorch 2.0.0. To install AudioCraft, you can run the following: We also recommend having ffmpeg installed, either through your system or Anaconda: At the moment, AudioCraft contains the training code and inference code for: MusicGen: A state-of-the-art controllable text-to-music model. AudioGen: A state-of-the-art text-to-sound model. EnCodec: A state-of-the-art high fidelity neural audio codec. Multi Band Diffusion: An EnC...

AI Tools — July 16, 2026 Edition | Agentic Brew