The antidote to doomscrolling: Upvote RSS turns Reddit, Hacker News, Lemmy, Lobsters, PieFed, Mbin, and trending GitHub repositories into calm, filtered RSS feeds. The MIT-licensed PHP app's killer feature is intelligent filtering: beyond simple score thresholds, the "posts per day" filter analyzes a community's recent history and computes the score cutoff that yields your target volume - say, exactly three r/technology posts daily - while a percentage-based threshold mode stays consistent as communities grow. Feeds are rich, not bare links: parsed full-article content via Readability (with optional Readability.js, Mercury, or Browserless for JavaScript-heavy pages), embedded videos and image galleries, top-voted comments with pinned-moderator filtering, scores, reading-time estimates, and optional AI summaries through Ollama, OpenAI, Gemini, Anthropic, Mistral, DeepSeek, or any OpenAI-compatible endpoint - with automatic provider fallback. A web UI builds the feed URL interactively with live preview; paste the result into any RSS reader. Reddit support includes custom domains like old.reddit.com plus NSFW filtering and blurring. Caching via filesystem, Redis, or APCu keeps repeated fetches cheap and avoids re-running paid summarizations.

One clean interface in front of Anthropic, OpenAI, Google Gemini, Cohere, and more: Chat Chat is a Next.js front door to the major AI providers, ending the juggling of separate subscriptions, tabs, and UIs per model. Bring your own API keys, pick a provider and model per conversation, and switch between them as the task demands: Claude for long-form reasoning, GPT for code, Gemini for multimodal work - the interface stays identical. Beyond configured presets, custom providers plug in with their own API endpoints and keys, which covers OpenAI-compatible gateways and local inference servers. The design splits into two dedicated modes: a chat interface for conversational work with customizable system prompts, and a search interface that pairs AI processing with query handling for research-style questions. The stack is modern and hackable - Next.js 14, Tailwind CSS, shadcn/ui on Radix primitives, Jotai for state - with full internationalization including English, Chinese, and Japanese. Self-hosting means your conversation history and API keys live on your instance rather than a third-party wrapper service, and pay-per-token API pricing typically beats stacking multiple monthly chat subscriptions. AGPL-licensed and deliberately simple to deploy: one container, environment variables for keys, done.

Yet Another API Development Environment delivers a self-hosted alternative to Postman designed from the ground up for teams that need secure, collaborative API development without sending sensitive credentials through third-party cloud services. The multi-user system manages team members with role-based permissions and supports external authentication through OAuth2 and OIDC providers, while all data persists in an H2 file-based database that survives container and server restarts. REST and WebSocket request testing includes environment variable substitution, request chaining, and Markdown documentation for each endpoint. The JavaScript scripting engine runs request and response scripts for automated testing and data extraction, with cron job scheduling and API-triggered execution for continuous integration workflows. Collections import directly from OpenAPI specifications and Postman exports, while outbound export generates request code in multiple languages and frameworks. The browser extension proxy for Chrome and Firefox routes requests through the user's browser to bypass CORS restrictions when testing localhost and internal APIs, with an alternative server-side proxy for headless environments. Single-file data import and export simplifies backup and migration between instances. The React and Vite frontend ships with dark mode enabled by default. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

LobsterBoard lets you assemble custom monitoring dashboards from 50 pre-built widgets using a visual drag-and-drop editor, covering everything from CPU and memory gauges to AI subscription trackers, stock tickers, and camera feeds on your own server with zero cloud dependencies. The snap-grid editor handles layout composition with resize handles and a property panel, so you drag widgets onto a canvas, configure their data sources, and the dashboard is live. Real-time system statistics flow through Server-Sent Events, updating CPU load, memory pressure, disk usage, network throughput, and Docker container status without page refreshes. Five built-in themes range from a dark default to a retro CRT terminal aesthetic, a warm sepia paper look, and pastel options for different display environments. The template gallery lets you export complete dashboard layouts with auto-captured screenshot previews, share them with other users, and import configurations as a full replacement or selective merge. Custom pages extend beyond dashboards into notes, kanban boards, or any free-form layout you need. Built-in widgets connect to iCal feeds for calendar events, RSS sources for news aggregation, weather APIs for local conditions, and financial data providers for cryptocurrency and stock prices. The whole system runs from a single server.cjs file with zero cloud dependencies or external frameworks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSL-1.1 licensed (free for non-commercial use; converts to MIT in 2030).

Writing docs should feel like editing a modern document, not wrangling Markdown files - CodeX Docs delivers that on Editor.js, the block-styled editor its CodeX team builds and thousands of products use. Content is composed from clean blocks (headings, lists, code, images, embeds) with a UI that reads well on both desktop and mobile, and pages render statically with human-readable, SEO-friendly URLs. Structure is free-form: pages nest to any depth, so a flat FAQ and a deep product manual coexist in one instance, and the UI tunes to fit - collapse sections, hide the sidebar. The operational footprint is deliberately tiny. No database is required: the default driver persists to a local folder, with MongoDB available when you want it, and the whole app configures through one YAML file (overridable with APP_CONFIG_ environment variables) covering title, start page, auth password, and JWT secret. Editing mode sits behind password authentication. Thoughtful extras are wired in: readers can report misprints straight to your Telegram or Slack, Hawk error tracking catches frontend and backend exceptions, and Yandex Metrica analytics is a one-line config. A ready-made Helm chart covers Kubernetes. Written in TypeScript.

Audio lectures become structured, Markdown-formatted notes in about a minute with ScribeWizard (also known as GroqNotes). Upload an MP3, WAV, or M4A file - or paste a YouTube link - and the app runs a three-stage pipeline on Groq's LPU inference hardware: Whisper Large v3 transcribes the audio, a larger Llama model drafts a comprehensive outline of the material, and a faster Llama model fills each section with detailed content. This scaffolded prompting strategy is the core idea: the strong model handles structure where quality matters most, the fast model handles volume, and Groq's 1200+ tokens-per-second inference keeps the whole process near real time. Output renders as clean Markdown with support for tables and code blocks, and finished notes download as text or PDF. Model selection is configurable - swap in other Groq-hosted open models like Mixtral or Gemma to trade speed against quality or work around rate limits. Built as a single Streamlit app by Benjamin Klieger at Groq, it needs only a Groq API key to run, making it one of the simplest self-hosted AI tools to operate.

"Get to your most important links, FAST" - Hiccup's README states its whole mission in that one line, and the static start page delivers it. It is a client-side React single-page app - no backend, no database, no accounts - driven entirely by a config.json that defines featured link cards, categorized sections, and search providers. The search bar is the power feature: it queries your own links by name, URL, and tag while simultaneously offering external providers like Google, DuckDuckGo, and Amazon (plus custom URL-template providers you define), with arrow-key navigation and Enter to launch, so muscle memory replaces mousing. Editing happens in the browser - drag and drop links and background images, tweak cards in edit mode - with changes persisting to localStorage; a built-in config manager exports the JSON for hosting, and remote profile loading pulls a shared config across every browser and device you use. Multiple profiles keep home-server, work, and dev-tool link sets separate. PWA support installs it on a phone home screen, caching strategies keep it fast offline, read-only mode suits kiosk displays, and Cmd/Ctrl+/ reveals the full hotkey reference. Serve it from any static host and point your new tab at it.

Real-time collaborative Markdown behind your own firewall: HedgeDoc (formerly CodiMD, descended from HackMD's open-source edition) keeps team notes on team infrastructure. Share a note's URL and collaborators are editing together instantly - live cursors, changes appearing keystroke by keystroke - in a three-mode interface that toggles between raw Markdown, rendered preview, and side-by-side split. The Markdown dialect is extended where engineers need it: Mermaid, Graphviz, and Vega-Lite diagrams, MathJax for equations, syntax-highlighted code blocks, embedded content, and a presentation mode that turns a note into reveal.js slides with a single YAML header. A dropdown permission system controls each note - freely editable, limited to signed-in users, or locked read-only - and published notes become clean read-only pages for wider distribution. Revisions track every change with the ability to revert to any earlier version. The AGPL-3.0 codebase is light enough to run on a Raspberry Pi and deploys via Docker with PostgreSQL, MySQL, or SQLite. Authentication covers LDAP, SAML, OAuth2, and email. It deliberately stays a focused document editor - no page trees or kanban - and does that one job with excellent keyboard-first ergonomics for meeting notes, RFCs, runbooks, and shared scratchpads.

DispatchMail is an SuperHuman alternative and delivers a self-hosted AI email assistant that processes your Gmail inbox through configurable OpenAI prompts without sending data to third-party cloud services beyond the LLM API itself. The Flask backend connects to Gmail via IMAP, retrieves new messages according to your schedule, and routes them through customizable whitelist rules based on sender address, subject keywords, or natural language descriptions before AI processing begins. Two distinct prompt configurations control behavior — the Reading Prompt instructs how the AI should analyze and classify incoming messages, while the Draft Prompt defines how responses should be composed, letting you maintain consistent tone and policy across all automated replies. Whitelist filtering ensures the AI only processes messages you explicitly authorize, preventing unnecessary API costs and keeping sensitive emails out of the LLM pipeline entirely. The React web interface provides inbox management with message previews, AI-generated summaries, draft editing with human-in-the-loop approval before sending, and configuration panels for prompts and rules. Automatic labeling and archival organize processed messages into categories without manual intervention. The sender research feature uses LLM-powered deep analysis to build background profiles of email contacts. All email content, credentials, and processing results persist in a local SQLite database with zero cloud storage dependencies. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

100% portability is Nanote's one non-negotiable principle as a self-hosted note-taking app. There is no database - notebooks are plain folders and notes are plain Markdown files on your filesystem, so the same notes remain fully manageable from a terminal, Notepad, or any other editor, and walking away from Nanote costs nothing because your data was never in a proprietary format to begin with. Built with Nuxt and TypeScript around the Milkdown editor, it layers modern conveniences on that plain-file foundation: fast content search across all notes using OS-optimized tooling (ugrep), native Markdown rendering, image and file attachments, and a mobile-friendly layout for reading and editing on a phone. Clever remark directives make plain text interactive - typing ::file inserts an inline upload picker, while ::today, ::now, and ::tomorrow expand to live dates and times. A fully typed REST API with validation covers automation, and access is protected by a configurable secret key. Deployment is one container with three env vars: paths for notes, uploads, and config, all bind-mountable so your Markdown lives wherever you want it - including inside an existing sync setup. AGPL-licensed and actively daily-driven by its author.

"Somewhat lightweight, low-friction" is how Silicon Notes' author describes the personal knowledge base - written after DokuWiki's editor "drove me mad" and no existing wiki quite fit. The philosophy is that small frequent annoyances compound into cognitive load with no return, so everything here is optimized for frictionless daily use. Notes are written in plaintext Markdown and rendered as clean HTML with Pygments syntax highlighting for code blocks; pages get bi-directional relationships (backlinks), so the knowledge base becomes a connected web rather than a folder tree; and full-text plus title search retrieves anything fast. A table of contents lives in the left sidebar - "where it belongs" - editable while you read without scrolling away. Page history tracks revisions for auditing and rollback, JSON export/import keeps everything portable, and the mobile layout is genuinely usable. The stack is deliberately minimal: Python and Flask with Mistune for Markdown and SQLite for storage - no big frameworks, just a few small dependencies. One honest caveat: there is no built-in authentication, so deploy it behind a VPN, private network, or reverse-proxy auth layer. For a solo engineer's brain, it is exactly enough.

"Stupid simple software" is the entire philosophy at DumbWare.io, and DumbBudget delivers it: no over-engineering, no complexity, no accounts, no bank connections - just a clean, modern ledger for money in and money out. Log income and expenses, assign categories, and watch real-time balance calculations update as you type. Finding transactions is quick: filter by type, narrow by date range, sort by date or amount. When tax season or spreadsheet analysis calls, everything exports to CSV. Access control matches the philosophy - a single PIN (set via one environment variable) gates the app, backed by real security engineering: rate limiting on PIN attempts, temporary lockout after failures, secure session handling, and no sensitive data in browser storage. Multi-currency support covers the ISO codes, and a SITE_TITLE variable names each instance - deliberately useful, because running separate instances per account or family member is the intended pattern for multi-user needs. The responsive UI ships light and dark themes and installs as a PWA on phones, where expense logging actually happens. Configuration is five environment variables; data persists in one folder. If Actual Budget and Firefly III feel like accounting software, this is the notepad that gets used. GPL-licensed.