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GitHub - steveking-gh/firmion: Firmion is DSL and engine for firmware image generation. GitHub - villagesql/villagesql-skills: Agent skills for VillageSQL - gemini-cli-extension; claude-code-plugin GitHub - flightdeckhq/flightdeck: Observability and control plane for AI agents. CSP Radar GitHub - Light-Heart-Labs/DreamServer: Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. GitHub - Diplomat-ai/diplomat-agent-ts: What can your TypeScript AI agent do to the real world? Scan your code. 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GitHub - sir1st/hermes-desktop: All-in-one cross-platform desktop app for Hermes Agent — bundles Python + hermes-agent + hermes-web-ui GitHub - astefanutti/shaderbang: Shebang for Shaders Show HN: Generate Claude Code Workflows using Spec Driven Development approach GitHub - nixys/nxs-universal-chart: The Helm chart you can use to install any of your applications into Kubernetes/OpenShift Show HN: AI agents for UK GDAD PCF roles and their skills The Two Pillars: Mixer Mode and Meta-Software in the Reorganization of Software Work After AI GitHub - JaiCode08/teleport-env What 1,000+ Harness Experiments Taught Me About Self-Improving Agents Show HN: Liiists, a Markdown-first, iOS and CLI list app SwiperTab – Get this Extension for 🦊 Firefox (en-US) GitHub - kouhxp/fftext: Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command GitHub - sweetpad-dev/sweetpad: Develop Swift/iOS projects using VSCode GitHub - dogmaticdev/IRON: IRON a.k.a. 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. GitHub - ThatXliner/gah: Git Add Hunk, built for agents to use GitHub - harmont-dev/harmont-cli: Command-line client for the Harmont CI platform GitHub - brooksmcmillin/mcp-authflow: OAuth 2.0 Authorization Server framework for MCP servers GitHub - javaid-codes/audit-supply-chain-agents GitHub - amorey/gochan: A small library of common channel architectures for Go, inspired by Rust GitHub - arifozgun/OpenGem: Free, Open-Source AI API Gateway with Gemini, OpenAI & Anthropic Compatibility in 1 file GitHub - Pranesh950/BioPetals: 🌸 Run BIOxAI models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading GitHub - cnguyen14/bounty-doctor: Diagnose a GitHub bounty issue before you waste hours: detects honeypot scam repos, AI-bot attempt swarms, and stale contests. Show HN: CoreMCP – MCP Server for On-Prem DBs Show HN: KittyHTML – Render HTML/CSS as an inline image in your terminal GitHub - bingud/filemat: Web-based file manager Show HN: TruthLens – Free multi-signal deepfake image detector GitHub - apexlocal-jz/claude-usage-tray: Windows system-tray app showing your Claude Code rate-limit usage at a glance. Zero deps, ~300 lines of PowerShell. Cross-IDE (works regardless of VS Code, Cursor, plain terminal). Release v0.1.2.1 · kouhxp/yapsnap GitHub - noopolis/moltnet: Self-hostable chat network for AI agents. Pre-built bridges for Claude Code, Codex, and the Claws. Rooms, DMs, history. No Slack bots, no Matrix, no glue code. GitHub - tamerh/enju: Coordinating Humans, AI Agents, and Compute as Peers on a Shared Workflow Graph Show HN: Continuity-auth – Respect-weighted rate limits for the open web GitHub - luml-ai/luml: AI lifecycle platform where engineers and agents track experiments, train models, and ship to production. 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
Sotto — Your invisible interview co-pilot.
sweetgummybe · 2026-05-27 · via Show HN

For engineers, made by engineers

You know the answer.
Sotto helps you find it.

You've grinded the patterns. You know your complexities. But real interviews are a different beast — nerves, pressure, and a stranger watching every keystroke. Sotto sits invisibly on your screen, ready to offer a quiet nudge when your mind goes blank.

7-day free trial  ·  macOS only  ·  Google sign-in required

A calm voice when the pressure peaks

Not a crutch. A co-pilot — invisible to your interviewer, always in your corner.

📸

Problem Clarity

Capture the problem with one shortcut and get a clear breakdown — optimal approach, complexity trade-offs, edge cases — in your preferred language. Not to copy, but to confirm your instinct and get unstuck fast.

🎙

Live Transcription

Transcribes the interviewer in real time with sub-second latency. When a follow-up question catches you off guard, hit "Ask AI →" to get a focused, context-aware response — so you can speak with confidence, not guesswork.

👻

Invisible Overlay

On macOS, Sotto is excluded from screen capture at the OS level. Zoom, Teams, and Google Meet see a blank window. Always-on-top, adjustable opacity, mouse pass-through — completely out of your way until you need it.

🌐

10 languages Python, TypeScript, Java, C++, Go, Rust, Swift, Kotlin, JavaScript, C#

⌨️

Global shortcuts Capture, hide, transcribe — all without touching the mouse

Keyboard Shortcuts

⌘SCapture screen

⌘HHide / Show

⌘⇧RStart / Stop recording

⌥AAsk AI

⌘⇧PMouse pass-through

⌥[ ]Adjust opacity

Screen-recording proof

Even if your session is recorded, Sotto leaves no visible windows or overlays — excluded at the macOS OS level, not just hidden.

< > Code Python ∨

1class Solution:

2 def lengthOfLongestSubstring(self, s):

3 char_map = {}

4 max_length = 0

5 left = 0

6

7 for right in range(len(s)):

8 if s[right] in char_map:

9 left = char_map[s[right]] + 1

Use a sliding window with a hash map tracking last-seen indices. O(n) time, O(min(n,m)) space.

Your view

< > Code Python ∨

1class Solution:

2 def lengthOfLongestSubstring(self, s):

3 char_map = {}

4 max_length = 0

5 left = 0

6

7 for right in range(len(s)):

8 if s[right] in char_map:

9 left = char_map[s[right]] + 1

Sotto invisible here

Interviewer's view

Excluded at the macOS OS level — not just minimized or transparent. Works on Zoom, Google Meet, and Teams.

Interview best practices

A few habits that keep things natural and undetectable.

01

Never copy-paste — always type manually

Clipboard events are trackable and instantaneous code insertion looks unnatural. Type everything out character by character, even if it takes longer.

02

Be mindful of typing speed

Don't type too fast. Real engineers pause to think, backspace, and reconsider. A perfectly steady stream of correct code is a red flag in keystroke analytics.

03

Rewrite comments in your own voice

Don't copy AI-generated comments verbatim. Rephrase them in your own words and style — or skip them entirely if they feel out of place.

04

One-time setup before your first interview

Grant Sotto microphone, screen capture, and accessibility permissions in macOS System Settings. You'll only need to do this once.

05

Keep mouse pass-through on during the interview

Mouse pass-through (⌘⇧P) makes Sotto invisible to your mouse — clicks go straight through to the interview platform beneath it, so you never accidentally interact with Sotto mid-interview. All keyboard shortcuts (screenshots, transcription, opacity) keep working regardless. Only turn pass-through off briefly when you need to scroll or reposition Sotto, then turn it back on.

06

Use a single monitor

Keep Sotto and your interview platform on the same screen. Some platforms detect multiple monitors and flag the configuration as suspicious.

07

Position Sotto near the solution editor

Place the Sotto window close to the coding area before the interview starts. This way your eyes naturally look toward the problem — not off to the side of the screen.

08

Use device microphone, not system audio

Always record from your physical mic. If the interviewer's voice comes through headphones, Sotto won't capture it — the built-in microphone only hears what's in the room.

09

Think out loud during the interview

Narrate your reasoning even when reading Sotto's answer. Dead silence while code appears is suspicious. Talking through the problem makes your process look authentic.

10

Make small intentional mistakes

Occasionally mistype a variable name and correct it, or delete a line and rewrite it. Real developers make minor errors. A flawlessly clean keystroke stream is unnatural.

11

Consider avoiding transcription if asked to screen share

macOS shows a microphone recording indicator in the menu bar whenever an app is capturing audio. If you're sharing your screen, the interviewer might notice it. Use screenshot + Ask AI mode instead — no mic indicator, no questions.

Simple pricing

7-day free trial. Then $19.99/month. Google account required.

Free Trial

$0 / 7 days

  • ✓ 10 screenshot analyses & 10 transcription sessions per day
  • ✓ Live transcription (bring your own key)
  • ✓ All keyboard shortcuts
  • ✓ Invisible overlay
  • ✓ Google account required

Download Free

Pro

$19.99/month

  • ✓ 10 screenshot analyses & 10 transcription sessions per day
  • ✓ Live transcription included
  • ✓ All keyboard shortcuts
  • ✓ Invisible overlay
  • ✓ Everything in Free Trial

Get Started

Frequently asked questions

Who is Sotto actually for?

Sotto is built for engineers who've put in the work — you've done the LeetCode, you understand the patterns, you know your complexities. But real interviews are stressful, and stress makes you second-guess yourself. Sotto is the friend sitting next to you who gives you a quiet nudge when your mind goes blank. It's not designed to carry you through an interview you're not prepared for — it's designed to make sure nerves don't tank one you are.

Is Sotto really invisible during screen sharing?

Yes — on macOS, Sotto excludes itself at the OS level. The window is excluded from all screen capture APIs, including Zoom, Google Meet, and Microsoft Teams. This works on both Apple Silicon and Intel Macs running macOS 12+.

How does Sotto help without just giving me the answer?

It can do both, depending on what you need. If you're close but stuck on an edge case, glance at the approach hint and keep going. If you've blanked entirely, the full solution is there to orient you — you still have to reason through it out loud with your interviewer. Think of it less like autocomplete and more like having a knowledgeable friend on standby.

Does Sotto record or store my audio or screenshots?

No. Screenshots are compressed and sent directly to an AI API for analysis — they are not stored on any Sotto server. Audio is streamed for transcription and is not retained.

What macOS version do I need?

macOS 12 Monterey or later. Both Apple Silicon (M1/M2/M3/M4) and Intel Macs are supported. The screen-sharing invisibility feature requires macOS 12+.

How do I get future updates?

Download the latest version from this page. Have a feature request? Email us at sottosupport@gmail.com.

Ready to get started?

Free to download. Works in minutes.

⬇️

Download Sotto for macOS

v1.2.6 macOS 12+ · Apple Silicon & Intel

  1. Open the downloaded .dmg file
  2. Drag Sotto to your Applications folder