Free open source alternatives for Linux

Browse free and open source software that runs on Linux. Find open-source alternatives, compare features, platforms and pricing, and pick the right Linux tool for you.

Meigen AI

Create AI videos from text or images, explore reusable prompts, and manage short-form creative workflows from one browser workspace.

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MikeCRM

MikeCRM is an online form builder, contact manager and market explorer, which affirmatively strengthens you with the ability to collect data, discover potential customers and win deals.

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Dating photos

Turn your real photos into natural, attractive dating profile pics with AI. Improve lighting, pose, and confidence to get more matches.

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career-ops

career-ops is a free, open-source alternative to Teal . English | Español | Deutsch | Français | Português (Brasil) | 한국어 | 日本語 | 简体中文 | 繁體中文 | Українська | Русский | Polski | Dansk | தமிழ் | العربية | हिन्दी | Türkçe I spent months applying to jobs the hard way. So I engineered the system I wish I had. Companies use AI to filter candidates. I just gave candidates AI to choose companies. Now it's open source. FEATURED IN 740+ job listings evaluated · 100+ personalized CVs · 1 dream role landed Also runs on any agent-skill-standard CLI. See Supported CLIs . What Is This career-ops ( career-ops.org , also known as careerops ) turns any AI coding CLI into a full job search command center. Instead of manually tracking applications in a spreadsheet, you get an AI-powered pipeline that: Evaluates offers with a structured evaluation -- blocks A-F scored across 5 weighted dimensions, plus block G, a separate posting-legitimacy assessment that never affects the 1-5 score Generates tailored PDFs -- ATS-optimized CVs customized per job description Scans portals automatically (Greenhouse, Ashby, Lever, company pages) Processes in batch -- evaluate 10+ offers in parallel with sub-agents Tracks everything in a single source of truth with integrity checks Researches companies and finds the right person to contact -- applications get you in the queue; research gets you a conversation Important: This is NOT a spray-and-pray tool. career-ops is a filter -- it helps you find the few offers worth your time out of hundreds. The system strongly recommends against applying to anything scoring below 4.0/5. Your time is valuable, and so is the recruiter's. Always review before submitting. career-ops is agentic: whichever AI coding CLI you choose navigates career pages with Playwright, evaluates fit by reasoning about your CV vs the job description (not keyword matching), and adapts your resume per listing. Heads up: the first evaluations won't be great. The system doesn't know you yet. Feed it context -- your CV, your career story, your proof points, your preferences, what you're good at, what you want to avoid. The more you nurture it, the better it gets. Think of it as onboarding a new recruiter: the first week they need to learn about you, then they become invaluable. Built by someone who used it to evaluate 740+ job offers, generate 100+ tailored CVs, and land a Head of Applied AI role. Read the full case study . The CareerOps Manifesto career-ops is the first reference implementation of the CareerOps Manifesto . read it. if it says what you believe, sign it. your signature becomes a commit. Features Feature Description Auto-Pipeline Paste a URL, get a full evaluation + PDF + tracker entry A-G Evaluation Role summary, CV match, level strategy, comp research, personalization, interview prep (STAR+R) -- plus a Block G posting-legitimacy check that flags scams and ghost jobs, and a Work-Auth signal that flags an explicit no-sponsorship JD as a hard blocker Interview Story Bank Accumulates STAR+Reflection stories across evaluations -- 5-10 master stories that answer any behavioral question Negotiation Scripts Salary negotiation frameworks, geographic discount pushback, competing offer leverage ATS PDF Generation Keyword-injected CVs with Space Grotesk + DM Sans design Cover Letter Generator Research-backed cover letters with keyword mirroring, four interactive angle prompts (why/problems/approach/tone), draft-in-chat approval gate, and A4 PDF via the same HTML + Playwright pipeline as CVs. Auto-drafts on every evaluation; complete and generate on demand via /career-ops cover Application Email Drafts Formal recruiter/referral/cold application emails from a report or pasted JD, with subject line, attachment checklist, source-backed fit points, and a profile-driven contact block. Draft-only -- career-ops never sends, submits, or clicks anything. Portal Scanner 100+ companies pre-configured (Anthropic, OpenAI, ElevenLabs, Retool, n8n...) + custom queries across Ashby, Greenhouse, Lever, Wellfound Funded Company Discovery Review-first company:funded command surfaces recently funded companies and source diagnostics from structured public feeds without editing your data Batch Processing Parallel evaluation with headless CLI workers ( claude -p / opencode run ) Dashboard TUI Terminal UI to browse, filter, and sort your pipeline Human-in-the-Loop AI evaluates and recommends, you decide and act. The system never submits an application -- you always have the final call Pipeline Integrity Automated merge, dedup, status normalization, health checks Interview Suite Time-blocked prep plans, practice sessions with feedback, post-interview debriefs ( interview/ ), and a company red-flag detector ( interview-redflag ) Offer Stage Contract reading companion -- clause walk plus a lawyer question list ( offer-prep ) -- and a desired/advertised/actual salary-gap analyzer ( salary-gap.mjs ) Follow-ups & Replies Follow-up cadence calculator and seeded reminders ( followup-cadence.mjs , followup-seed.mjs ); employer reply classification into tracker updates ( reply-watch ) Pattern Analysis Rejection patterns and per-ATS-channel advance rates ( analyze-patterns.mjs ), lifetime funnel stats ( stats.mjs ), repost/ghost-job detection ( detect-reposts.mjs ) Plugin System Opt-in integrations (Gmail, Notion, Apify + a community registry), disabled by default -- see docs/PLUGINS.md Beyond the CV Company research ( deep ) surfaces AI strategy, recent moves, engineering culture, and the angle your profile should take. Contact discovery ( contacto ) identifies the hiring manager, recruiter, or team peer worth reaching out to and drafts a ≤300-character LinkedIn message tuned to each contact type. Formal application email drafts ( email ) turn an evaluated report or pasted JD into a subject line, body, and attachment checklist without sending, submitting, or clicking anything. Applications get you in the queue; research gets you a conversation. Quick Start Fastest way — one command: npx @santifer/career-ops init 💡 npx ships with Node.js — it runs the installer once, without installing anything globally. No Node yet? Install it first. (Already using a Claude Code / Gemini / Codex CLI? Then you already have it.) This clones the latest release into ./career-ops and installs dependencies. Then: cd career-ops claude # or codex / qwen / opencode / agy / grok — open your AI CLI here On first launch, career-ops walks you through setup — your CV, profile and target roles — just by chatting. Nothing to edit by hand. Prefer to set it up manually? (git clone) git clone https://github.com/santifer/career-ops.git cd career-ops && npm install npx playwright install chromium # only needed for PDF generation # 2. Check setup npm run doctor # Validates all prerequisites # 3. Configure cp config/profile.example.yml config/profile.yml # Edit with your details cp templates/portals.example.yml portals.yml # Customize companies # 4. Add your CV # Create cv.md in the project root with your CV in markdown # 5. Open your AI CLI in this directory claude # or codex / opencode / qwen / agy / grok # Then ask your CLI to adapt the system to you: # "Change the archetypes to backend engineering roles" # "Translate the modes to English" # "Add these 5 companies to portals.yml" # "Update my profile with this CV I'm pasting" # 6. Start using # Paste a job URL or JD text to trigger auto-pipeline # If your CLI supports slash commands, use /career-ops (or its CLI-specific alias) # In Codex, ask for the same mode in plain language, e.g.: # "Run the career-ops scan mode" # "Run the career-ops pipeline mode for data/pipeline.md" # "Run the career-ops pdf mode for the latest evaluated role" # "Run the career-ops tracker mode and summarize the current statuses" Global install npm i -g @santifer/career-ops This installs the career-ops binary globally so you can run it directly instead of via npx . Unlike npx @santifer/career-ops init (which bootstraps a project directory), the global install gives you a persistent career-ops command available anywhere in your terminal. Which one should you use? npx @santifer/career-ops init — best for first use; creates a dedicated project folder. npm i -g @santifer/career-ops — best once you have a project folder and want to run career-ops commands directly. The system is designed to be customized by your AI coding CLI itself. Modes, archetypes, scoring weights, negotiation scripts -- just ask it to change them. It reads the same files it uses, so it knows exactly what to edit. See docs/SETUP.md for the full setup guide, docs/RUNNING_ON_A_BUDGET.md for instructions on running career-ops cheaply using custom or local models (and docs/FREE_TIER.md for running it at zero cost on Antigravity CLI's free tier), docs/AUTOMATION.md for scheduling recurring scans and a zero-token triage-to-shortlist recipe, docs/APPLY_AUTOFILL.md for details on the ATS auto-fill flow, and docs/FAQ.md for answers to common setup questions. Design principles live in ARCHITECTURE.md ; runtime flows in docs/ARCHITECTURE.md . Antigravity CLI Integration career-ops supports Antigravity CLI natively, the same way it supports Claude Code and OpenCode. All slash commands are available through the shared skill entrypoint, using the same modes/*.md evaluation logic. Google has transitioned consumer Gemini CLI access to Antigravity CLI. GEMINI.md is now a no-op compatibility guard so Antigravity does not duplicate the full project instructions when it reads both AGENTS.md and GEMINI.md . Native Antigravity CLI # 1. Run in the career-ops directory cd career-ops agy # 2. Use the unified /career-ops command with subcommands: /career-ops " Senior AI Engineer at Anthropic... " /career-ops pipeline /career-ops scan /career-ops pdf /career-ops tracker The skill is defined using the open standard in .agents/skills/career-ops/SKILL.md and symlinked/referenced for each supported CLI (e.g. .claude/ , .cursor/ , .qwen/ , .antigravitycli/ , .grok/ ). Codex Integration career-ops supports Codex through the same shared router, but the invocation model is different from CLIs that auto-register slash commands. For the full guide, see docs/CODEX.md . Interactive Codex cd career-ops codex Slash commands are not guaranteed in Codex. If /career-ops is unavailable, ask Codex to run the mode directly in plain language: Evaluate this JD with career-ops auto-pipeline: https://company.com/jobs/123 Run the career-ops scan mode and summarize new matches. Run the career-ops pipeline mode for data/pipeline.md. Run the career-ops pdf mode for the latest evaluated role. Run the career-ops tracker mode and summarize the current statuses. One-shot Codex ( codex exec ) codex exec " Evaluate this JD with career-ops auto-pipeline: https://company.com/jobs/123 " codex exec " Run career-ops scan mode in this repo and summarize new matches. " codex exec " Run career-ops pipeline mode for data/pipeline.md. " codex exec " Run career-ops pdf mode for the latest evaluated role. " codex exec " Run career-ops tracker mode and summarize the current statuses. " Grok Build CLI Integration career-ops supports Grok Build CLI natively, the same way it supports Claude Code and OpenCode. AGENTS.md is auto-loaded as project rules, and all slash commands are available through the shared skill entrypoint. Native Grok Build CLI # 1. Run in the career-ops directory cd career-ops grok # 2. Use the unified /career-ops command with subcommands: /career-ops " Senior AI Engineer at Anthropic... " /career-ops pipeline /career-ops scan /career-ops pdf /career-ops tracker For headless batch workers, use grok -p "prompt" (add --yolo to auto-approve tool executions). Standalone Gemini API Script (No CLI install needed) # 1. Get a free API key at https://aistudio.google.com/apikey cp .env.example .env # Edit .env, set GEMINI_API_KEY=your_key_here # 2. Install dependencies npm install # 3. Evaluate a job description node gemini-eval.mjs " We are looking for a Senior AI Engineer... " node gemini-eval.mjs --file ./jds/my-job.txt node agent-inbox.mjs add " ... " # queue a request for the next session npm run gemini:eval -- " JD text here " Free tier: Both options work without billing. Native CLI uses Google OAuth; the API script uses gemini-3.6-flash (rate limits are model- and tier-dependent; see Google AI docs for current quotas). Usage career-ops uses a shared command router. In CLIs that register slash commands, it looks like this: /career-ops → Show all available commands /career-ops {paste a JD} → Full auto-pipeline (evaluate + PDF + tracker) /career-ops scan → Scan portals for new offers /career-ops pdf → Generate ATS-optimized CV /career-ops cover → Cover letter generator (paste JD or /career-ops cover {slug}) /career-ops email → Formal application email draft (draft-only; never sends, submits, or clicks) /career-ops batch → Batch evaluate multiple offers /career-ops tracker → View application status /career-ops apply → Fill application forms with AI /career-ops outcome → Record application outcome & archive artifacts /career-ops pipeline → Process pending URLs /career-ops contacto → Find hiring manager / recruiter / peer + draft a ≤300-char LinkedIn message per contact type /career-ops deep → Generate a structured 6-axis research prompt (AI strategy, recent moves, culture, challenges, competitors, candidate angle) /career-ops training → Evaluate a course/cert /career-ops project → Evaluate a portfolio project Or just paste a job URL or description directly -- career-ops auto-detects it and runs the full pipeline. In Codex, slash commands are not guaranteed. Use the same mode names in a prompt instead, or call them from codex exec . How It Works You paste a job URL or description │ ▼ ┌──────────────────┐ │ Archetype │ Classifies: LLMOps / Agentic / PM / SA / FDE / Transformation │ Detection │ └────────┬─────────┘ │ ┌────────▼─────────┐ │ A-G Evaluation │ Match, gaps, comp research, STAR stories, legitimacy │ (reads cv.md) │ └────────┬─────────┘ │ ┌────┼────┐ ▼ ▼ ▼ Report PDF Tracker .md .pdf entry Pre-configured Portals The scanner comes with 100+ companies ready to scan and 45+ search queries across major job boards. Copy templates/portals.example.yml to portals.yml and add your own: AI Labs: Anthropic, OpenAI, Mistral, Cohere, LangChain, Pinecone Voice AI: ElevenLabs, PolyAI, Parloa, Hume AI, Deepgram, Vapi, Bland AI AI Platforms: Retool, Airtable, Vercel, Temporal, Glean, Arize AI Contact Center: Ada, LivePerson, Sierra, Decagon, Talkdesk, Genesys Enterprise: Salesforce, Twilio, Gong, Dialpad LLMOps: Langfuse, Weights & Biases, Lindy, Cognigy, Speechmatics Automation: n8n, Zapier, Make.com European: Factorial, Attio, Tinybird, Clarity AI, Travelperk Job boards searched: 55+ provider modules cover ATS APIs, board-wide feeds, XML/RSS feeds, markdown feeds, and local parsers. See Supported job boards for the full table. By default node scan.mjs (a.k.a. npm run scan ) trusts what each ATS feed returns. Some companies leave stale postings in their public API even after the role is closed, so those expired entries can leak into pipeline.md . Pass --verify to launch Playwright after the API pass and drop expired postings before they hit the pipeline: node scan.mjs --verify # zero-token discovery + Playwright liveness check The verification is sequential and only runs against new offers (after dedup), so the cost stays bounded. Dashboard TUI The built-in terminal dashboard lets you browse your pipeline visually: npm run serve:dashboard # launch the TUI npm run build:dashboard # optional: build the standalone binary Features: 6 filter tabs, 4 sort modes, grouped/flat view, lazy-loaded previews, inline status changes. There is also an experimental web UI (alpha, opt-in — nothing runs unless you start it): see web/README.md . Project Structure career-ops/ ├── AGENTS.md # Canonical agent instructions (all CLIs) ├── CLAUDE.md # Claude Code wrapper (imports AGENTS.md) ├── CODEX.md # Codex wrapper (imports AGENTS.md) ├── OPENCODE.md # OpenCode wrapper (imports AGENTS.md) ├── GEMINI.md # Legacy no-op guard to avoid Antigravity duplicate context ├── cv.md # Your CV (create this) ├── article-digest.md # Your proof points (optional) ├── config/ │ └── profile.example.yml # Template for your profile ├── modes/ # Skill modes │ ├── _shared.md # Shared context (customize this) │ ├── oferta.md # Single evaluation │ ├── pdf.md # PDF generation │ ├── cover.md # Cover letter generation │ ├── email.md # Formal application email drafts │ ├── scan.md # Portal scanner │ ├── batch.md # Batch processing │ └── ... ├── templates/ │ ├── cv-template.html # ATS-optimized CV template │ ├── portals.example.yml # Scanner config template │ └── states.yml # Canonical statuses ├── batch/ │ ├── batch-prompt.md # Self-contained worker prompt │ └── batch-runner.sh # Orchestrator script ├── dashboard/ # Go TUI pipeline viewer ├── data/ # Your tracking data (gitignored) ├── reports/ # Evaluation reports (gitignored) ├── output/ # Generated PDFs (gitignored) ├── fonts/ # Space Grotesk + DM Sans ├── docs/ # Setup, customization, budget guide, architecture └── examples/ # Sample CV, report, proof points Tech Stack Agent : AI coding CLI with shared skills and modes ( AGENTS.md + CLI wrapper) PDF : Playwright + HTML template Cover letters : HTML template + Playwright (A4 PDF, same pipeline as CVs) Scanner : Playwright + Greenhouse API + WebSearch Dashboard : Go + Bubble Tea + Lipgloss (Catppuccin Mocha theme) Data : Markdown tables + YAML config + TSV batch files Also Open Source cv-santiago -- The portfolio website (santifer.io) with AI chatbot, LLMOps dashboard, and case studies. If you need a portfolio to showcase alongside your job search, fork it and make it yours. FAQ What is career-ops? career-ops is an open-source, CLI-agnostic job-search command center. It turns any AI coding CLI into a pipeline that evaluates job offers against your CV, generates ATS-tailored PDFs, finds the right person to contact, and tracks everything in one place — while you keep the final decision. It is the first reference implementation of the CareerOps Manifesto. More at career-ops.org . Can I run career-ops for free, or on a cheaper / local model? Yes. career-ops is CLI-agnostic and runs on free and local models — via OpenRouter free models, Ollama, or any OpenAI-compatible endpoint — so you are not tied to a paid subscription. See docs/RUNNING_ON_A_BUDGET.md for the full setup. I pay for Claude Pro/Max but career-ops is burning API credits. Why? Because an ANTHROPIC_API_KEY in your environment takes precedence over your logged-in subscription: the CLI uses the key and bills per token. Run echo $ANTHROPIC_API_KEY , and if it prints anything, remove it from your shell profile, restart the terminal and run /login . Batch mode is the exception, since claude -p workers do not use the interactive login: run claude setup-token once and export the result as CLAUDE_CODE_OAUTH_TOKEN . Full walkthrough in docs/RUNNING_ON_A_BUDGET.md . Which AI CLIs does career-ops work with? career-ops runs on any major AI coding CLI — Claude Code, Codex, Gemini / Antigravity, OpenCode, Grok, Qwen and more — through the open Agent Skill Standard, so it is never locked to a single vendor. Use the CLI you already have. How do I install career-ops on Windows? career-ops runs on Windows. If skills fail to load with a symlink error during install, the fix is in docs/FAQ.md . Full steps are in docs/SETUP.md . Does career-ops auto-apply to jobs for me? No. career-ops is a filter, not a spray-and-pray auto-applier. The AI evaluates, ranks and drafts; you review and decide. It never submits, sends, or clicks anything — you always have the final call. That human-in-the-loop design is the whole point. Is career-ops free and open source? Yes. career-ops is free and open source, and for the candidate it always will be — it is the first reference implementation of the CareerOps Manifesto . Read it, and if it says what you believe, sign it. About the Author I'm Santiago Fernández de Valderrama Aparicio (santifer) -- Head of Applied AI, former founder (built and sold a business that still runs with my name on it). I built career-ops to manage my own job search. It worked: I used it to land my current role. Curious how this repo is maintained in ~4 hours a week? Read Agentic maintenance: how career-ops is run by a fleet of AI agents . My portfolio and other open source projects → santifer.io Wikidata: Santiago Fernández de Valderrama Aparicio · career-ops . Disclaimer career-ops is a local, open-source tool, NOT a hosted service. By using this software, you acknowledge: You control your data. Your CV, contact info, and personal data stay on your machine and are sent directly to the AI provider you choose (Anthropic, OpenAI, etc.). We do not collect, store, or have access to any of your data. You control the AI. The default prompts instruct the AI not to auto-submit applications, but AI models can behave unpredictably. If you modify the prompts or use different models, you do so at your own risk. Always review AI-generated content for accuracy before submitting. You comply with third-party ToS. You must use this tool in accordance with the Terms of Service of the career portals you interact with (Greenhouse, Lever, Workday, LinkedIn, etc.). Do not use this tool to spam employers or overwhelm ATS systems. No guarantees. Evaluations are recommendations, not truth. AI models may hallucinate skills or experience. The authors are not liable for employment outcomes, rejected applications, account restrictions, or any other consequences. See LEGAL_DISCLAIMER.md for full details. This software is provided under the MIT License "as is", without warranty of any kind. Contributors Every person who has shipped code, docs, translations or tests is listed in CONTRIBUTORS.md — including non-code contributions, which the graph above cannot show. Got hired using career-ops? Share your story! License & Trademark The code is licensed under MIT . The "career-ops" name and brand are governed by the Trademark Policy , permissive for community use, reserved for commercial product naming and endorsement. Let's Connect

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Better Stack

Better Stack lets you see inside any stack, debug any issue, and resolve any incident.

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Stack Auth

Stack Auth is the open-source Auth0 alternative. We build your sign in page so you don't have to. AuthN, authZ, and user management in just 5 minutes.

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Beaudar

The name "Beaudar" is derived from the pronunciation of the word "expression" in Cantonese, and it is the Chinese version of "Utterances". For more information, please visit this blog. Open Source. 📖 No tracking, no ads, always free forever. ♻️ No data retention, all data is saved in the user's GitHub issue. 📚 Multiple themes derived from GitHub primer. 🌈 Lightweight, no font download, no JS framework loading. 🍜 What's the difference between Beaudar and Utterances? Chinese interface, closer distance to increase comment friendliness. Avatar modification, small avatar displayed on mobile is more exquisite. Identity identification, never breaks lines in any case. Comment time, reduced to the same size as the identity identification. Name display, the name of the commenter is enlarged for better recognition. Link opening, opens in a new tab in line with habits. Error information, presented in a friendly dialog box form. Comment avatar, can be selected using the Tab key. Loading status, default loading status can be configured to be removed. Remove source, click the loading icon to jump to the homepage. Refresh page, errors and exceptions will allow for refreshing. Maintain theme, the theme will remain after refreshing the page. Branch options, add repository branch items for verification. Comment order, can be selected to be in ascending or descending order by time. Comment position, can set the position of the comment input box.

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Intermittent Fasting Calculator

The Intermittent Fasting Calculator is a free, no-registration online tool that helps you plan the next meal and fasting window. Choose from popular methods like 16:8, 14:10, or create custom fasting hours. Simply input your preferred eating time and get instant results with a visual 24-hour timeline. Export your schedule as text or image for easy sharing and reference. Perfect for beginners and experienced fasters alike, with a modern interface that works seamlessly on all devices

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Cacoo

Create diagrams online with a collaborative online diagramming tool. Join the 390,000 users drawing diagrams, flowcharts, and wireframes online with Cacoo. Diagram from anywhere. Online diagramming tool for collaborating on wireframes, flowcharts, and more

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EmailOctopus

Manage and email your subscribers for far cheaper with EmailOctopus. Drag and drop email builder, powerful analytics, bounce/complaint tracking and more.

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Short.io

Short.io makes short links (vanity urls) on your own domain. Free signup, analytics and API. Chrome, slack, zapier and segment integrations.

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Queens Answer Today

Welcome to your daily LinkedIn Queens answers resource. Find the full grid solution, strategic placement guidance, and tips for improving your Queens skills.

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Jotform

Create forms and surveys for free with Jotform’s drag-and-drop form builder. Start collecting registrations, applications, orders, and payments today.

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Caricature Generator

AI-powered tool that transforms photos into creative, exaggerated caricature portraits instantly with professional customization options.

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twenty

twenty is a free, open-source alternative to Salesforce . The #1 Open-Source CRM Website · Documentation · Roadmap · Discord · Figma Why Twenty Twenty gives technical teams the building blocks for a custom CRM that meets complex business needs and quickly adapts as the business evolves. Twenty is the CRM you build, ship, and version like the rest of your stack. Learn more about why we built Twenty Installation Cloud The fastest way to get started. Sign up at twenty.com and spin up a workspace in under a minute, with no infrastructure to manage and always up to date. Build an app Scaffold a new app with the Twenty CLI: npx create-twenty-app my-app Define objects, fields, and views as code: import { defineObject , FieldType } from 'twenty-sdk/define' ; export default defineObject ( { nameSingular : 'deal' , namePlural : 'deals' , labelSingular : 'Deal' , labelPlural : 'Deals' , fields : [ { name : 'name' , label : 'Name' , type : FieldType . TEXT } , { name : 'amount' , label : 'Amount' , type : FieldType . CURRENCY } , { name : 'closeDate' , label : 'Close Date' , type : FieldType . DATE_TIME } , ] , } ) ; Then ship it to your workspace: npx twenty app:publish --private See the app development guide for objects, views, agents, and logic functions. Self-hosting Run Twenty on your own infrastructure with Docker Compose , or contribute locally via the local setup guide . Everything you need Twenty gives you the building blocks of a modern CRM (objects, views, workflows, and agents) and lets you extend them as code. Here's a tour of what's in the box. Want to go deeper? Read the User Guide for product walkthroughs, or the Documentation for developer reference. Learn more about apps in doc Learn more about version control in doc Learn more about primitives in doc Learn more about layouts in doc Learn more about AI in doc Learn more about CRM features in doc Stack TypeScript Nx NestJS , with BullMQ , PostgreSQL , Redis React , with Jotai , Linaria and Lingui Thanks Thanks to these amazing services that we use and recommend for code review (Greptile), catching bugs (Sentry) and translating (Crowdin). Join the Community Star the repo · Discord · Feature requests · Releases · X · LinkedIn · Crowdin · Contribute

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MarkText

Next generation markdown editor. A simple and elegant open-source markdown editor that focused on speed and usability.

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Netlify

Realize the speed, agility and performance of a scalable, composable web architecture with Netlify. Explore the composable web platform now!

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utterances

A lightweight comments widget built on GitHub issues. Use GitHub issues for blog comments, wiki pages and more! Open source . 🙌 No tracking, no ads, always free. 📡🚫 No lock-in. All data stored in GitHub issues. 🔓 Styled with Primer , the css toolkit that powers GitHub. 💅 Dark theme. 🌘 Lightweight. Vanilla TypeScript. No font downloads, JavaScript frameworks or polyfills for evergreen browsers. 🐦🌲 how it works When Utterances loads, the GitHub issue search API is used to find the issue associated with the page based on url , pathname or title . If we cannot find an issue that matches the page, no problem, utterances-bot will automatically create an issue the first time someone comments. To comment, users must authorize the utterances app to post on their behalf using the GitHub OAuth flow . Alternatively, users can comment on the GitHub issue directly.

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Linkedin Pinpoint Answer

Linkedin Pinpoint Answer: Your All-in-One Companion for LinkedIn Brain Games Introduction If you enjoy daily brain challenges on LinkedIn, you may already know games like Pinpoint, Queen, Crossclimb, Tango, Zip, Mini Sudoku, and Patches. These puzzles test logic, pattern recognition, and problem-solving in fun but sometimes difficult ways. That’s where Linkedin Pinpoint Answer comes in. We are an all-in-one companion for solving and mastering LinkedIn puzzle games. Whether you're stuck, trying to keep your streak, or want to understand the logic behind answers, our platform provides instant solutions, clear explanations, and useful strategies across multiple games in one place. Main Features 1. Instant Answers Get fast and accurate solutions for Pinpoint, Queen, Crossclimb, Tango, Zip, Mini Sudoku, and Patches as soon as new puzzles are released. 2. Streak Protection Avoid losing progress. Timely updates help you maintain daily streaks across all LinkedIn puzzle games. 3. Daily Updates Always synced with LinkedIn’s puzzle schedule, offering the latest answers and breakdowns as soon as they go live. 4. Clear Explanations We don’t just give answers—we explain them. Learn solving logic and improve your puzzle skills over time. 5. Multi-Game Hub Play and learn multiple LinkedIn games in one place, from word puzzles to logic and number challenges. 6. Strategy Insights Discover patterns, traps, and solving methods to improve your long-term performance across all games. Conclusion LinkedIn puzzle games are becoming more diverse and challenging, from Pinpoint to Mini Sudoku and beyond. Linkedin Pinpoint Answer supports the full experience—providing answers when needed, explanations when useful, and strategies to help you improve. Whether you're stuck or want to stay ahead, this is your all-in-one hub for LinkedIn puzzle games.

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Omlet

Omlet · Measure the Success of Your Components. Component analytics and insights for React.

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Ad Blocker is a browser tool that removes intrusive ads and pop-ups from web pages.