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Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•ksec•7m ago•0 comments

JobArena – Human Intuition vs. Artificial Intelligence

https://www.jobarena.ai/
1•84634E1A607A•10m ago•0 comments

Concept Artists Say Generative AI References Only Make Their Jobs Harder

https://thisweekinvideogames.com/feature/concept-artists-in-games-say-generative-ai-references-on...
1•KittenInABox•14m ago•0 comments

Show HN: PaySentry – Open-source control plane for AI agent payments

https://github.com/mkmkkkkk/paysentry
1•mkyang•16m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
1•ShinyaKoyano•26m ago•0 comments

The Crumbling Workflow Moat: Aggregation Theory's Final Chapter

https://twitter.com/nicbstme/status/2019149771706102022
1•SubiculumCode•30m ago•0 comments

Pax Historia – User and AI powered gaming platform

https://www.ycombinator.com/launches/PMu-pax-historia-user-ai-powered-gaming-platform
2•Osiris30•31m ago•0 comments

Show HN: I built a RAG engine to search Singaporean laws

https://github.com/adityaprasad-sudo/Explore-Singapore
1•ambitious_potat•37m ago•0 comments

Scams, Fraud, and Fake Apps: How to Protect Your Money in a Mobile-First Economy

https://blog.afrowallet.co/en_GB/tiers-app/scams-fraud-and-fake-apps-in-africa
1•jonatask•37m ago•0 comments

Porting Doom to My WebAssembly VM

https://irreducible.io/blog/porting-doom-to-wasm/
1•irreducible•37m ago•0 comments

Cognitive Style and Visual Attention in Multimodal Museum Exhibitions

https://www.mdpi.com/2075-5309/15/16/2968
1•rbanffy•39m ago•0 comments

Full-Blown Cross-Assembler in a Bash Script

https://hackaday.com/2026/02/06/full-blown-cross-assembler-in-a-bash-script/
1•grajmanu•44m ago•0 comments

Logic Puzzles: Why the Liar Is the Helpful One

https://blog.szczepan.org/blog/knights-and-knaves/
1•wasabi991011•55m ago•0 comments

Optical Combs Help Radio Telescopes Work Together

https://hackaday.com/2026/02/03/optical-combs-help-radio-telescopes-work-together/
2•toomuchtodo•1h ago•1 comments

Show HN: Myanon – fast, deterministic MySQL dump anonymizer

https://github.com/ppomes/myanon
1•pierrepomes•1h ago•0 comments

The Tao of Programming

http://www.canonical.org/~kragen/tao-of-programming.html
2•alexjplant•1h ago•0 comments

Forcing Rust: How Big Tech Lobbied the Government into a Language Mandate

https://medium.com/@ognian.milanov/forcing-rust-how-big-tech-lobbied-the-government-into-a-langua...
3•akagusu•1h ago•0 comments

PanelBench: We evaluated Cursor's Visual Editor on 89 test cases. 43 fail

https://www.tryinspector.com/blog/code-first-design-tools
2•quentinrl•1h ago•2 comments

Can You Draw Every Flag in PowerPoint? (Part 2) [video]

https://www.youtube.com/watch?v=BztF7MODsKI
1•fgclue•1h ago•0 comments

Show HN: MCP-baepsae – MCP server for iOS Simulator automation

https://github.com/oozoofrog/mcp-baepsae
1•oozoofrog•1h ago•0 comments

Make Trust Irrelevant: A Gamer's Take on Agentic AI Safety

https://github.com/Deso-PK/make-trust-irrelevant
7•DesoPK•1h ago•4 comments

Show HN: Sem – Semantic diffs and patches for Git

https://ataraxy-labs.github.io/sem/
1•rs545837•1h ago•1 comments

Hello world does not compile

https://github.com/anthropics/claudes-c-compiler/issues/1
35•mfiguiere•1h ago•20 comments

Show HN: ZigZag – A Bubble Tea-Inspired TUI Framework for Zig

https://github.com/meszmate/zigzag
3•meszmate•1h ago•0 comments

Metaphor+Metonymy: "To love that well which thou must leave ere long"(Sonnet73)

https://www.huckgutman.com/blog-1/shakespeare-sonnet-73
1•gsf_emergency_6•1h ago•0 comments

Show HN: Django N+1 Queries Checker

https://github.com/richardhapb/django-check
1•richardhapb•1h ago•1 comments

Emacs-tramp-RPC: High-performance TRAMP back end using JSON-RPC instead of shell

https://github.com/ArthurHeymans/emacs-tramp-rpc
1•todsacerdoti•1h ago•0 comments

Protocol Validation with Affine MPST in Rust

https://hibanaworks.dev
1•o8vm•1h ago•1 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
5•gmays•2h ago•1 comments

Show HN: Zest – A hands-on simulator for Staff+ system design scenarios

https://staff-engineering-simulator-880284904082.us-west1.run.app/
1•chanip0114•2h ago•1 comments
Open in hackernews

Show HN: FlowTask – AI to bootstrap project setups

https://flowtask.work
1•Bibhash199•2mo ago
For years, I was stuck. Trapped in a loop. Every new project, every team initiative – it began with the same soul-crushing setup.

Hours. Gone. Not on the actual work, mind you. But on the meta-work. Defining tasks. Sketching forms. Mapping workflows. Hunting for that 'perfect' template that never quite fit. Just trying to get to zero. To a starting line where meaningful work could actually begin.

Most project management tools? They're brilliant once things are up and running. Tracking, collaborating, reporting – they nail it. But that initial blank canvas? That moment you’re staring at an empty page, forced into a rigid template that doesn't quite fit your brain? They leave you cold. You're still the architect of the initial system, not just the manager of the tasks within it.

That frustration? It boiled over. It forced us to ask: What if this initial setup wasn't a blank canvas? What if an AI didn't just suggest tasks, but built the entire damn structure for your workspace?

That's the core idea behind FlowTask. Imagine a comprehensive blueprint, generated for you. We’re talking about a full task hierarchy descriptions, assignees, due dates, dependencies, all logically organized. Forms, too. Generated with the right fields text, numbers, dates, dropdowns and smart validation rules, context-aware. And workflows? Defined states, transitions, ready for your no-code builder or internal system. All of it.

The 'how' is where it gets gnarly. And exciting. This isn't just tossing a prompt at an LLM and hoping for decent text. We're building a structured AI generation layer. Think of it less as a word spinner and more as a schema generator for project components. We're pushing fine-tuned models and sophisticated prompt engineering to ensure the output isn't just plausible, but structured. System-ready. It’s about killing the 'hallucination' problem by guiding the model towards concrete, defined outputs.

We're taking that initial project 'cold start' problem and crushing it. Hours of administrative grind, cut to minutes. This isn't about replacing human smarts. It's about automating the truly tedious, non-creative crap.

We've been grinding on this for a while. Now we need your unfiltered take. What are the landmines you see? How do you currently kick off a new project? What kind of structured output would actually save your ass?

Let's talk. Happy to dig into the tech or specific use cases.