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Show HN: Dumbass Business Ideas

Discover hilariously terrible business ideas that probably shouldn't exist. Get inspired by the worst startup concepts, share them with friends, and submit your own dumbass ideas!

Show HN: Pegma, an open-source version of the classic Peg solitaire

Discover Pegma, the free and open-source version of the classic Peg solitaire game! Pegma offers a clean, minimal design and smooth gameplay across multiple platforms.<p>Key features:<p>Fully open-source code available on GitHub, inviting community contributions and transparency<p>Custom-designed font created by the developer to enhance the game’s unique style<p>Cross-platform support: play on iOS, Android<p>Lightweight, intuitive interface that stays true to the timeless puzzle mechanics<p>Try it now:<p>Website: <a href="https://pegma.vercel.app" rel="nofollow">https://pegma.vercel.app</a><p>GitHub: <a href="https://github.com/khlebobul/pegma" rel="nofollow">https://github.com/khlebobul/pegma</a><p>App Store: <a href="https://apps.apple.com/ru/app/pegma-peg-solitaire/id6754343848">https://apps.apple.com/ru/app/pegma-peg-solitaire/id67543438...</a><p>Google Play: <a href="https://play.google.com/store/apps/details?id=com.khlebobul.pegma">https://play.google.com/store/apps/details?id=com.khlebobul....</a><p>If you appreciate open-source projects and classic brain teasers, Pegma is definitely worth checking out!

Show HN: European tech news in 6 languages

I built a multilingual news aggregator for European tech in 6 languages (EN, DE, FR, ES, IT, NL), filterable by audience (consumers, businesses, government) to help users discover relevant European alternatives.<p>A few interesting technical challenges:<p>PATTERN-BASED IMAGE GENERATION Generic AI images all look the same ("holographic businessman with laptop"). I solved this with a JSON database of 60+ concrete visual patterns—context-aware selection prevents repetition. Funding news → coins/contracts, security → locks/shields. Much more visual diversity. Still needs tweaking though.<p>GRADUAL SITEMAP GROWTH FOR NEW SITES Daily news pipeline generates lots of content. Challenge: Google indexes new sites slowly—exposing all 2K+ URLs at once resulted in 1-3% indexing rate. Solution: Dynamic rolling window in sitemap—only expose top 50 most recent articles (300 URLs), gradually increasing to 100 → 150 → 200 over 6 months as site builds authority. Result: Indexing rate improved to 10%.<p>AUTOMATED TRANSLATION PIPELINE RSS aggregation → AI summaries and translation with context-aware prompts → human review queue. Still tweaking quality per language pair.<p>STACK: Next.js 15 with Turbopack, PostgreSQL, deployed via Sliplane@Hetzner which works pretty ok.<p>STATUS: 1+ month post launch, 80 pages indexed, 100+ European apps featured (Mollie, Wire, Ecosia, LanguageTool, etc.)<p>FEEDBACK WELCOME ON: • European news sources I'm missing? • Better approaches to multilingual SEO? • Translation quality red flags? • How to optimize for LLM discovery (ChatGPT, Claude, etc.)?

Show HN: European tech news in 6 languages

I built a multilingual news aggregator for European tech in 6 languages (EN, DE, FR, ES, IT, NL), filterable by audience (consumers, businesses, government) to help users discover relevant European alternatives.<p>A few interesting technical challenges:<p>PATTERN-BASED IMAGE GENERATION Generic AI images all look the same ("holographic businessman with laptop"). I solved this with a JSON database of 60+ concrete visual patterns—context-aware selection prevents repetition. Funding news → coins/contracts, security → locks/shields. Much more visual diversity. Still needs tweaking though.<p>GRADUAL SITEMAP GROWTH FOR NEW SITES Daily news pipeline generates lots of content. Challenge: Google indexes new sites slowly—exposing all 2K+ URLs at once resulted in 1-3% indexing rate. Solution: Dynamic rolling window in sitemap—only expose top 50 most recent articles (300 URLs), gradually increasing to 100 → 150 → 200 over 6 months as site builds authority. Result: Indexing rate improved to 10%.<p>AUTOMATED TRANSLATION PIPELINE RSS aggregation → AI summaries and translation with context-aware prompts → human review queue. Still tweaking quality per language pair.<p>STACK: Next.js 15 with Turbopack, PostgreSQL, deployed via Sliplane@Hetzner which works pretty ok.<p>STATUS: 1+ month post launch, 80 pages indexed, 100+ European apps featured (Mollie, Wire, Ecosia, LanguageTool, etc.)<p>FEEDBACK WELCOME ON: • European news sources I'm missing? • Better approaches to multilingual SEO? • Translation quality red flags? • How to optimize for LLM discovery (ChatGPT, Claude, etc.)?

Show HN: Encore – Type-safe back end framework that generates infra from code

Show HN: Encore – Type-safe back end framework that generates infra from code

Show HN: Encore – Type-safe back end framework that generates infra from code

Show HN: Tiny Diffusion – A character-level text diffusion model from scratch

This is a character-level language diffusion model for text generation.<p>The model is a modified version of Nanochat's GPT implementation and is trained on Tiny Shakespeare!<p>It is only 10.7 million parameters, so you can try it out locally.

Show HN: Tiny Diffusion – A character-level text diffusion model from scratch

This is a character-level language diffusion model for text generation.<p>The model is a modified version of Nanochat's GPT implementation and is trained on Tiny Shakespeare!<p>It is only 10.7 million parameters, so you can try it out locally.

Show HN: Tiny Diffusion – A character-level text diffusion model from scratch

This is a character-level language diffusion model for text generation.<p>The model is a modified version of Nanochat's GPT implementation and is trained on Tiny Shakespeare!<p>It is only 10.7 million parameters, so you can try it out locally.

Show HN: Tiny Diffusion – A character-level text diffusion model from scratch

This is a character-level language diffusion model for text generation.<p>The model is a modified version of Nanochat's GPT implementation and is trained on Tiny Shakespeare!<p>It is only 10.7 million parameters, so you can try it out locally.

Show HN: Epstein Files Organized and Searchable

Hey all,<p>Throwaway in case this is assumed to be politcally motivated.<p>I spent some time organizing the Eptstein files to make transparency a little clearer. I need to tighten the data for organizations and people a bit more, but hopeful this is helpful in research in the interim.

Show HN: Epstein Files Organized and Searchable

Hey all,<p>Throwaway in case this is assumed to be politcally motivated.<p>I spent some time organizing the Eptstein files to make transparency a little clearer. I need to tighten the data for organizations and people a bit more, but hopeful this is helpful in research in the interim.

Show HN: Epstein Files Organized and Searchable

Hey all,<p>Throwaway in case this is assumed to be politcally motivated.<p>I spent some time organizing the Eptstein files to make transparency a little clearer. I need to tighten the data for organizations and people a bit more, but hopeful this is helpful in research in the interim.

Show HN: Shadowfax AI – an agentic workhorse to 10x data analysts productivity

Hi HN,<p>We built an AI agent for data analysts that turns the soul crushing spreadsheet & BI tool grind into a fast, verifiable and joyful experience. Early users reported going from hours to minutes on common real-world data wrangling tasks.<p>It's much smarter than an Excel copilot: immutable data steps, a DAG of SQL views, and DuckDB for instant crunching over millions of rows. Our early agent prototype ranked #1 on the Spider2-DBT bench. <a href="https://spider2-sql.github.io" rel="nofollow">https://spider2-sql.github.io</a><p>Try it out and we'd love your feedback!<p>Thanks, Di Wu & the Shadowfax team<p>P.S. Shadowfax is Gandalf's horse from LOTR. There's a hidden easter egg site with 3 different triggers, see if you can find them.

Show HN: I made an open-source Rust program for memory-efficient genomics

My cofounder and I run a startup in oncology, where we handle cancer genomics data. It occurred to me that, thanks to a recent complexity theory result, there's a clever way to run bioinformatics algorithms using far less RAM. I built this Rust engine for running whole-genome workloads in under 100MB of RAM. Runtime is a little longer as a result - O(TlogT) instead of O(T). But it should enable whole-genome analytics on consumer-grade hardware.

Show HN: SkillGraph – Open-source agentic framework with skills instead of tools

Show HN: AI Bubble Monitor

The AI Bubble Monitor is an analytical tool designed to track and visualize indicators of potential market bubbles in AI-related sectors. It aggregates multiple data sources and metrics to produce a composite "AI Bubble Score" that ranges from 0 to 100. The tool breaks down the overall score into five sub-indices: Valuation, Capital Flows, Adoption vs Fundamentals, Sentiment & Hype, and Systemic Risk. Each sub-index provides insight into different aspects of market behavior and potential overvaluation.

Show HN: I built a platform where audiences fund debates between public thinkers

Hey HN, I built Logosive because I want to see certain debates between my favorite thinkers (especially in health/wellness, tech, and public policy), but there's no way for regular people to make these happen.<p>With Logosive, you propose a debate topic and debaters. We then handle outreach, ticket sales, and logistics. After the debate, ticket revenue is split between everyone involved, including the person that proposed the debate, the debaters, and the host.<p>Logosive is built with Django, htmx, and Alpine.js. Claude generates the debate launch pages, including suggesting debaters or debate topics, all from a single prompt (but the debates happen between real debaters).<p>I’m now looking for help launching new debates, so if you have any topics or people you really want to see debate, please submit them at <a href="https://logosive.com" rel="nofollow">https://logosive.com</a>.<p>Thanks!

Show HN: DBOS Java – Postgres-Backed Durable Workflows

Hi HN - I’m Peter, here with Harry (devhawk), and we’re building DBOS Java, an open-source Java library for durable workflows, backed by Postgres.<p><a href="https://github.com/dbos-inc/dbos-transact-java" rel="nofollow">https://github.com/dbos-inc/dbos-transact-java</a><p>Essentially, DBOS helps you write long-lived, reliable code that can survive failures, restarts, and crashes without losing state or duplicating work. As your workflows run, it checkpoints each step they take in a Postgres database. When a process stops (fails, restarts, or crashes), your program can recover from those checkpoints to restore its exact state and continue from where it left off, as if nothing happened.<p>In practice, this makes it easier to build reliable systems for use cases like AI agents, payments, data synchronization, or anything that takes hours, days, or weeks to complete. Rather than bolting on ad-hoc retry logic and database checkpoints, durable workflows give you one consistent model for ensuring your programs can recover from any failure from exactly where they left off.<p>This library contains all you need to add durable workflows to your program: there's no separate service or orchestrator or any external dependencies except Postgres. Because it's just a library, you can incrementally add it to your projects, and it works out of the box with frameworks like Spring. And because it's built on Postgres, it natively supports all the tooling you're familiar with (backups, GUIs, CLI tools) and works with any Postgres provider.<p>If you want to try it out, check out the quickstart:<p><a href="https://docs.dbos.dev/quickstart?language=java" rel="nofollow">https://docs.dbos.dev/quickstart?language=java</a><p>We'd love to hear what you think! We’ll be in the comments for the rest of the day to answer any questions.