Report by The Next New Thing.
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Turns your AI coding assistant (Claude Code, Cursor, Copilot, Windsurf, Codex) into a full video-production studio. Created less than three months ago and pushed same-day; the README badges #1 on GitHub Trending and momentum is commit- and marketing-driven. Heavily self-promoted via its own YouTube and X.
View on GitHub →Works with any AI coding assistant; README claims 12 pipelines, 52 tools, 500+ skills.
Cuts actual stock/archive footage into a timeline, not just animating stills.
Start from a reference video → 2–3 concepts + cost estimates before producing.
Disclosed demo costs: $1.33 Pixar-style short, $0.69 one-key ad, $0.15 FLUX anime.
Optional FAL/Pexels/Suno/ElevenLabs keys; ffprobe/frame/audio checks on output.
A non-engineer can produce a narrated, captioned, music-backed video for cents to a couple dollars by telling their coding agent what they want.
Indexes your repo into a searchable knowledge graph so your agent answers "what calls what" instantly instead of re-reading files. Created Feb 2026, pushed same-day, latest release v0.8.1. Strong perf claims (Linux kernel in 3 min, sub-1ms queries), an arXiv preprint, and plug-and-play setup across 11 coding agents.
View on GitHub →Pure C, zero dependencies/API keys; one-line install; 100% local.
tree-sitter parsing plus Hybrid LSP type resolution for 11 languages.
README claims 120× fewer tokens; the paper reports 10× fewer tokens, 2.1× fewer tool calls.
One install wires up Claude Code, Codex, Gemini CLI, Zed, OpenCode, Aider, VS Code.
Semantic + BM25 search, Cypher queries, call graphs, dead-code detection, git-diff impact.
Makes an AI coding agent smarter and cheaper on big codebases — it stops burning tokens re-reading files and answers architecture questions in one query.
We aim to bring this man in for questioning — on camera.
If you know him, tag him. If you are him… let's talk.
A free, pretrained time-series foundation model from Google Research. The most-established repo in the slate (live since 2024). TimesFM 2.5 is the latest model; recent updates include PyPI 2.0.0, a LoRA fine-tuning example, and integration into BigQuery ML, Sheets, and Vertex.
View on GitHub →200M params (down from 500M), up to 16k context length, drops the frequency indicator.
Optional 30M quantile head gives continuous quantile forecasts up to a 1k horizon.
pip install timesfm[torch]/[flax]; pretrained checkpoints on Hugging Face.
Backed by an ICML 2024 paper (arXiv 2310.10688).
Reachable via BigQuery ML (SQL), Google Sheets, and Vertex Model Garden.
Founders can get solid demand/sales/traffic forecasts with uncertainty ranges without a data scientist or custom training — load the model, pass your numbers, get predictions.
The TimesFM 2.5 launch thread on Hacker News drew 327 points and 109 comments — practitioners debating zero-shot forecasting quality, the parameter cut from 500M to 200M, and where a foundation model beats classical methods.
I've used Zapier across multiple businesses for over 10 years. They've been doing automation reliably long before this moment — and the MCP service brings that same reliability to any AI agent you're building with.
Try Zapier MCP →Exposes 8,000+ tools as MCP resources any agent can call.
Claude Code, OpenCode, Cursor — anything that speaks MCP.
Enable the tools you want in Zapier, grab the MCP endpoint, paste it into your agent.
Zapier handles auth, rate limits, and reliability for you.
A free, real-time global situation room in your browser — a self-hostable, Palantir-style OSINT dashboard. (OSINT = open-source intelligence: insight built only from publicly available data — news, markets, sensors, social feeds.) For a founder that's three money angles in one: anticipate shifts in the business you're already in, get early reads on the stock market, and spot mispriced Polymarket bets. Hundreds of news feeds plus geopolitical, financial, and infrastructure data sit in one map-based dashboard. Highest star count in the slate (~59.8k) despite being created only Jan 2026; pushed same-day.
View on GitHub →15 categories AI-synthesized into briefs; aggregates 65+ providers/APIs.
3D globe (globe.gl) + WebGL flat map (deck.gl) with 56 layer types; signal correlation.
Country Instability Index for 31 Tier-1 countries; 29 exchanges, commodities, crypto.
Ollama with no API keys; also Groq/OpenRouter and browser Transformers.js.
6 variants from one codebase + Tauri 2 app (Win/macOS/Linux), 24 languages.
If you trade, run a business, or bet on Polymarket, you can self-host a serious OSINT dashboard for free (or use worldmonitor.app) and try to see the move before everyone else — instead of paying for an enterprise tool.
It's a free, self-hostable Figma alternative — and every design comes out as real code. Designers and developers work on the same files in real time, with full ownership and no vendor lock-in. A mature 53.7k-star project pushed today; the README now pushes its new MCP server for AI design-to-code plus native Design Tokens — momentum is sustained development plus the AI/MCP angle.
View on GitHub →Docker/Kubernetes/Elestio or the hosted SaaS — full ownership, no lock-in.
Open standards (SVG/CSS/HTML/JSON); the Inspect tab gives ready-to-use code.
Enables multi-directional design↔code↔AI workflows.
Components and Variants as a single source of truth for design systems.
Kaleidos raised $20M — an $8M Series A (Sept 2022) and a $12M extension (Feb 2023), both led by Decibel Partners, with Figma's ex-COO Eric Wittman among the angels.
A real Figma-class design tool that's free and self-hostable — and because designs are code plus an MCP server, your AI tools can actually read and act on them.
A 775-point, 207-comment Hacker News thread (2025-11-27) on Penpot as the open-source Figma — a substantive debate about self-hosting, design-as-code, and whether an open tool can match Figma in practice.
A free, open-source voice studio from Jamie Pine (creator of Spacedrive), pitched as one free local replacement for two paid clouds at once — ElevenLabs (output) and WisprFlow (input). ~34k stars in roughly five months, with a Trendshift badge. Note the freshness flag — last pushed 2026-04-26.
View on GitHub →Tauri/Rust, not Electron — voice data never leaves your machine.
Qwen3-TTS, Kokoro, Chatterbox, HumeAI; zero-shot cloning or 50+ preset voices.
23 languages plus tags like [laugh] and [sigh] via Chatterbox Turbo.
Global hotkey + Whisper speech-to-text with auto-paste on macOS — a free dictation tool that stands in for WisprFlow.
One MCP call (voicebox.speak) lets Claude Code/Cursor speak back; REST + MCP server.
Replaces two paid voice subscriptions with one free download — and keeps your cloned voice and audio on your own computer instead of a vendor's cloud.
A regularly-updated archive of the hidden system prompts behind the major AI products. Actively updated (pushed today) and adds the newest models fast — the README lists Claude Design (June 23), GPT-5.5 Codex, Claude Fable 5, Gemini 3.5 Flash. Cites a real Washington Post feature driving mainstream attention.
View on GitHub →Anthropic, OpenAI, Google, xAI, plus Cursor, Copilot, Perplexity and more.
Claude Fable 5, Opus 4.8, GPT-5.5, Gemini 3.5 Flash — all dated.
See exactly what changed, e.g. Claude Opus 4.8 → Fable 5.
Web search, code, image-gen, memory — not just the chat personas.
CC0 — free to copy, study, and reuse.
For anyone writing prompts or building on these AIs, seeing how the big labs actually instruct their own models is a free masterclass — and reveals the guardrails shaping your answers.
A 627-point, 334-comment Hacker News thread links the repo’s claude.txt and dissects how large and detailed a production system prompt really is. The repo also anchors a Washington Post feature (~2026-05-11) profiling the maintainer.
One CLI that wires your agent into the platforms that normally block scrapers or charge for API access. A new project that hit ~41k stars in about four months, with a Trendshift "GitHub Trending #1 Repository of the Day" badge. The hook: paste one install sentence and minutes later it reads Twitter, Reddit, and YouTube for free.
View on GitHub →Paste a single raw-GitHub-URL sentence; the agent sets up the CLI, Node.js, gh, and MCP.
Web, YouTube transcripts+search, RSS, GitHub, full-web semantic search via Exa, V2EX.
When one method breaks (e.g. yt-dlp blocked) it auto-switches; users do nothing.
"agent-reach doctor" reports which channels work and how to fix the rest.
Open-source tools, free APIs, cookies stay local; only cost is a ~$1/mo server proxy.
If your agent comes up empty when you ask it to check Twitter or summarize a YouTube video, this is a one-paste fix that wires those sources in for free.
Runs every weekday and pushes a plain-language readout to your phone, Telegram, Slack, or email — without running a server. Created Jan 2026, already ~49.5k stars and 43k+ forks (the fork count reflects its fork-to-deploy model). README carries a Trendshift #1-Python badge and a HelloGitHub feature; buzz is China-developer-driven.
View on GitHub →A-shares, HK, US, Japan, Korea with indicators, fund flows, news, fundamentals.
Conclusion, score, trend, buy/sell levels, risk alerts, catalysts, action checklist.
Fork + add API keys; GitHub Actions auto-runs each trading day; Docker/local too.
WeChat Work, Feishu, Telegram, Discord, Slack, or email.
Gemini, OpenAI-compatible, DeepSeek, Qwen, Claude, or local Ollama.
If you follow a handful of stocks, fork it and have an AI quietly send you a daily readout on each — free, no coding, no server.
Edit without a subscription or watermarks. The description is literally "The open-source CapCut alternative" and at ~60k stars it's one of the most-starred OSS creator tools. The timeliness now is the rewrite: the README's top section announces OpenCut is being rebuilt from the ground up with a Rust core.
View on GitHub →Plugin-first architecture and an Editor API; the usable version powers opencut.app.
Desktop, mobile, and browser planned from a single Rust core.
An MCP server for agents, headless batch rendering, and an in-editor scripting tab.
First-class plugins are a stated goal of the new architecture.
Supported by sponsors including fal.ai.
A free, self-run video editor for creators who don't want to pay for CapCut — and the rewrite aims it at people who want AI agents and automation in their editing pipeline.
Gives any model a safe sandbox, tools, and reusable skills so it can complete a task on its own. From withastro, the org behind the Astro web framework — instant credibility for a brand-new project (created Feb 2026), pushed same-day. README pitches it against raw LLM API calls and name-drops Claude Code and Codex.
View on GitHub →Secure virtual, local, or remote container env for agents to run tools and modify files.
SKILL.md files plus subagents to delegate work to specialized roles.
Agents preserve progress through failures and restarts.
Node.js, Cloudflare Workers, GitHub Actions, GitLab CI/CD, Daytona, Render.
If you want to build your own autonomous AI agent (not just a chatbot), this gives you the scaffolding — sandbox, tools, skills, memory — from a team with a track record.
A free library of structured security workflows for AI coding agents (Claude Code, Copilot, Cursor). Young repo already past 21k stars, riding two hot currents at once — agent skills and cybersecurity. Bills itself as the largest open-source cybersecurity skills library, the only one mapping every skill to six industry frameworks. Note: not affiliated with Anthropic despite the name.
View on GitHub →Cloud, threat hunting, malware analysis, red teaming, DFIR — step-by-step workflows.
Every skill mapped to MITRE ATT&CK, NIST CSF 2.0, ATLAS, D3FEND, NIST AI RMF, and F3.
npx skills add mukul975/Anthropic-Cybersecurity-Skills via the agentskills.io standard.
Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI, and 20+ platforms.
If you build anything security-related with an AI coding assistant, drop this in and your agent suddenly knows real practitioner steps — which tool to run, what to check first, how to verify.
Files never get uploaded to a random website. A huge established project (84k+ stars) that ships daily — last commit the day of this episode, release v2.13.2 cut 2026-06-24. README reframed as "The Open-Source PDF Platform" with desktop, browser, and self-hosted server modes.
View on GitHub →Edit, merge, split, sign, redact, convert, OCR, compress.
Runs as a desktop client, browser UI, or self-hosted server with a private API.
No-code pipelines plus REST APIs to process millions of PDFs.
Starts in one command; UI in 40+ languages; files stay on your infrastructure.
If you handle contracts, invoices, or scanned docs, you get a full PDF toolkit running on your own machine for free — no subscriptions, no uploading sensitive files.
Can run entirely on your own laptop. Backed by interviewstreet (the org behind HackerRank); ~2.7k stars since launching late July 2025, last pushed 2026-06-22. Pitched as a fair, explainable resume scorer you can run fully local.
View on GitHub →PDF to text, then an LLM extracts structured JSON section by section.
Pulls profile/repos, classifies projects, LLM picks the top 7.
Ollama (e.g. gemma3:4b) or via a Google Gemini API key.
Category scores, evidence, bonuses, deductions with fairness constraints.
If you screen many candidates, you can automate first-pass resume review with a transparent score and evidence trail — while keeping applicant data private by running models locally.
Fire one task at Claude Code, Codex, Cursor and others side by side, then merge the winner, with a phone app to check on them anywhere. Ships daily (release v1.4.97 on 2026-06-24); past 7.3k stars since launching mid-March 2026. Works with any CLI coding agent (30+ listed) and rides the parallel-agents trend.
View on GitHub →Fan one prompt across multiple agents in isolated git worktrees; compare and merge.
Claude Code, Codex, Cursor, Copilot, Gemini Antigravity, Devin and more.
iOS/Android app to monitor, steer, and get notified when an agent finishes.
Click an element in an embedded Chromium window to send HTML/CSS + screenshot into the prompt.
If you build with AI coding tools, Orca lets you run them in parallel and pick the best output instead of babysitting one agent at a time — and steer the work from your phone.
It punches through firewalls to find the fastest connection and keeps it alive as devices move. Just hit a milestone 1.0 release on 2026-06-15 ("v1.0.0 — Dial keys, not IPs"), with the core team still pushing daily. 1.0 on a 10.7k-star Rust networking library (created March 2022) is the headline event.
View on GitHub →Say “connect to that phone” and iroh finds and maintains the fastest connection.
Falls back to an open ecosystem of public relay servers, measured for speed.
Authenticated encryption, concurrent streams, datagram transport, no head-of-line blocking.
iroh-blobs (BLAKE3 transfer), iroh-gossip (pub-sub), iroh-docs (eventually-consistent KV).
If you're building anything peer-to-peer — file sync, real-time collaboration, device-to-device messaging — iroh handles the hardest part: getting two machines on bad networks to find each other.
Send a request, see what comes back, and document the call. Actively maintained by Kong; latest release core@13.0.2 shipped 2026-06-24 and code pushed the same day as this episode. A long-standing open-source Postman alternative — its signal is steady maintenance and a large existing base.
View on GitHub →GraphQL, REST, WebSockets, SSE, gRPC and any HTTP-compatible protocol in one client.
Native OpenAPI editor, test suites, collection runner, mock server, and a CLI.
Local Vault (100% local), Git Sync (any Git repo), Cloud Sync (optionally E2EE).
Usable via the local Scratch Pad; an account unlocks fuller features.
If you build or test anything that talks to an API, it's a free tool to inspect and document those calls — and you can keep sensitive collections entirely on your own machine.
Track tasks, run sprints, write docs, and triage without paying per seat. Heavily maintained and very popular (53k stars), code pushed same-day, recent v1.3.x release line. README frames it as the open-source Jira/Linear/Monday/ClickUp alternative; the draw is maturity and breadth of a free alternative in a paid market.
View on GitHub →Rich text editor with file uploads, sub-properties, and references to related issues.
Burn-down charts plus modules to break large projects into smaller pieces.
Custom filters showing only relevant issues, shareable across the team.
Docker or Kubernetes with instance-admin God mode, or hosted Plane Cloud's free tier.
If you pay per-seat for Jira or Linear, this lets you run a comparable task/sprint/roadmap tool on your own server and keep your data in-house.
Chews through research, coding, or creating work that can take minutes to hours. Just shipped v2.0.0 (tagged 2026-06-25, day of this episode), a ground-up rewrite sharing no code with v1. README states it hit #1 on GitHub Trending after v2's launch, carries a Trendshift badge, and at 74.7k stars is the highest-starred repo in this batch.
View on GitHub →Orchestrates sub-agents, long-term memory, and sandboxes, powered by extensible skills.
Hand Claude Code/Codex/Cursor/Windsurf one sentence and it clones and bootstraps the repo.
make setup writes config.yaml and .env in ~2 min; make doctor verifies.
OpenAI, OpenRouter, vLLM, Codex CLI, Claude Code OAuth, plus MCP server support.
If you want an open-source agent that runs long, multi-step jobs (deep research, coding) on your own infra and your own model choice, this is a maintained, MIT-licensed option backed by a major company.
Small commands that make coding agents build what you actually meant. Explosive growth: created 2026-02-03 and already at 146k stars (highest in this batch), code pushed same-day. Matt Pocock (Total TypeScript / AI Hero) is a well-known educator; premise is "Skills for Real Engineers... not vibe coding," and a 30-second npx install lowers the barrier.
View on GitHub →npx skills@latest add mattpocock/skills, then /setup-matt-pocock-skills.
Makes the agent interrogate you before building (README calls these his most popular).
A red-green-refactor loop and debugging best practices wrapped as commands.
Fights “ball of mud” codebases; run it every few days.
If you use Claude Code, Codex, or Cursor, you can drop in battle-tested workflow commands in under a minute for better-aligned, better-tested code — without building your own skill library.
peerd is brand new — created June 22, 2026 — and already hit the Hacker News front page with a “Show HN” post at 68 points and 25 comments. It pitches itself as “the first AI agent harness native to the browser,” running the agent loop client-side with a security model where the key-holding agent never directly reads raw page content. It's an early 0.x developer preview, so it's one to watch rather than rely on.
View on GitHub →Runs the full agent loop in Chrome/Firefox — no servers, no external processes.
Spins up JS notebooks, WASM Linux VMs, and client-side apps inside your tabs.
Shares what the agent builds between peers over WebRTC.
Bring your own key (Anthropic, OpenRouter, local Ollama); data stays encrypted locally.
If you want to experiment with autonomous browser agents that use your existing logged-in sessions without shipping your data to a vendor's cloud, peerd is the bleeding-edge place to start.
A free, open-source macOS dictation app that turns speech into text on-device. It's free and open source (GPLv3) and the homepage reports 25,000+ downloads. A power dictation user publicly cancelled his paid Wispr Flow plan for it in a tweet that hit ~179k views. Latest release v1.6.0 shipped June 22, 2026, with multiple speech models (Parakeet, Cohere, Whisper, Apple Speech) and on-device AI correction.
View on GitHub →On-device transcription with optional AI cleanup — no audio leaves your Mac, no API key needed.
Global hotkey inserts text into any app — Notes, Slack, Gmail, Cursor, code editors.
Choose Parakeet, Cohere, Whisper, Nemotron, or Apple Speech; up to ~99 languages.
Completely free forever, installable via Homebrew (macOS 15+, Apple Silicon).
A founder can replace a paid dictation subscription with a private, on-device tool and dictate roughly 3.7× faster than typing into any app.
A local-first Twitter/X workspace that stores all your tweets, DMs, likes and bookmarks in a single SQLite database. Built by Peter Steinberger (@steipete), a well-known developer — a big part of its pull. His own tweet calling it “my favorite way to read Twitter” did ~603k views, and the repo has crossed 1.3k stars since launching March 2026. Bundles archive import, cached live reads, full-text search, and AI inbox ranking into one local app + CLI (latest release 0.8.5, June 21, 2026).
View on GitHub →Stores tweets, DMs, likes, bookmarks, and follow graph locally under ~/.birdclaw.
Home timeline, mentions queue, DMs workspace, and JSON-piping CLI in one tool.
FTS5 search across all tweets and DMs, plus follow-graph analysis.
Structured data “claw-able” by agents, with AI-powered inbox ranking and digests.
A creator can archive and actually search their entire Twitter history offline — and point AI agents at it — instead of being locked inside X's app.
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