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Show HN: I RL-trained an agent that trains models with RL (for –$1.3k)

https://github.com/Danau5tin/ai-trains-ai
10•Danau5tin•27m ago•0 comments

Show HN: Proton – A pure Go GUI library with zero CGO and API immunity

2•CzaxTanmay•26m ago•1 comments

Show HN: EdgarKit – a real-time JSON API for SEC EDGAR filings

https://edgarkit.com/
3•mathewarena•29m ago•0 comments

Show HN: PDF to Markdown with a side-by-side check so you can see what broke

https://pdfmarkdown.app/
3•jisbuidling•41m ago•3 comments

Show HN: 3D printer simulator with in browser firmware execution

https://github.com/Kodoque1/rextrude
2•ForgotIdAgain•43m ago•1 comments

Show HN: Rejourney – Open-source revenue leak prediction for web and mobile apps

https://github.com/rejourneyco/rejourney
10•mrr7337•2h ago•0 comments

Show HN: GitBiased – your team development dashboard

https://gitbiased.com/
3•skyfantom•1h ago•0 comments

Show HN: An AI Duolingo for your income goals

https://thrivez.io/thrivez-ai-mentor/
3•Fotis-Karmpas•1h ago•5 comments

Show HN: I built a deterministic check for fabricated quotes in LLM output

https://github.com/pierreolivierbonin/verbatimeter
3•pobonin•1h ago•0 comments

Show HN: Clawk – Give coding agents a disposable Linux VM, not your laptop

https://github.com/clawkwork/clawk
206•celrenheit•23h ago•153 comments

Show HN: Tangent – learn the Glove80 ergonomic keyboard by typing HN headlines

https://tangent-trainer.pages.dev
4•mkirsten•1h ago•1 comments

Show HN: Running Win32/DirectX games in the browser via x86 emulation and WebGPU

https://bottleship.happydog.games/
5•jenissimo1•1h ago•1 comments

Show HN: I implemented a neural network in SQL

https://github.com/xqlsystems/xarray-sql/blob/claude/xarray-sql-mnist-demo/benchmarks/nn.py
101•alxmrs•17h ago•18 comments

Show HN: Planetary Facts – food and product impacts against the planet's limits

https://planetaryfacts.com
2•mikethemerry•1h ago•0 comments

Show HN: Jacquard, a programming language for AI-written, human-reviewed code

https://github.com/jbwinters/jacquard-lang
92•jbwinters•21h ago•51 comments

Show HN: An Agentic Data Platform can generate dashboards, models in minutes

https://datarelax.io/
2•phienhn•1h ago•0 comments

Show HN: BYO AI free notetaking with optional screen reading for OpenClaw/hermes

https://stagewhisper.io/lite
3•piotraleksander•2h ago•1 comments

Show HN: Hackney – Compare Uber, Lyft, Waymo, and Robotaxi Prices

https://hackney.app/
53•griffinli•22h ago•44 comments

Show HN: Git Buoy | A living terminal harbor for Git worktrees

https://github.com/markg-05/git-buoy
2•m_george•2h ago•0 comments

Show HN: Sx 2.0 – Share AI skills with your team through a Dropbox folder

https://sleuth-io.github.io/sx/2026/07/10/your-dropbox-is-now-a-skill-server.html
40•detkin•13h ago•32 comments

Show HN: Pg-jason-validator fastest JSON schema validation via C Macros

https://github.com/furstenheim/pg-jason-validator
3•furstenheim•2h ago•0 comments

Show HN: Benchmark your eng team's AI agent maturity in 5 minutes

https://agent-benchmarks.com/software-factory/
11•adamgold7•6h ago•4 comments

Show HN: DOM-docx – HTML to native, editable Word docs (MIT)

https://github.com/floodtide/dom-docx
147•fishbone•1d ago•39 comments

Show HN: YouTube Guitar Tab Parser

https://github.com/marcelpanse/youtube-guitar-tab-parser
102•neogenix•16h ago•63 comments

Show HN: Nobie – an Excel-compatible runtime for agents and humans

https://nobie.com
80•matthewgapp•18h ago•54 comments

Show HN: Sigwire – a live TUI switchboard for every signal on your Linux box

https://github.com/yeet-src/sigwire
40•zasc•17h ago•15 comments

Show HN: BillAI Bass, an AI-Powered Big Mouth Billy Bass Using Strands Agents

https://github.com/morganwilliscloud/billai-bass
70•mtw14•18h ago•27 comments

Show HN: OpenClawMachines – Extending OpenClaw to the Enterprise

https://github.com/mathaix/OpenClawMachines
37•mathaix•19h ago•30 comments

Show HN: RandoFont – A browser for Google Fonts

https://randofont.alesh.com
35•aleshh•4d ago•5 comments

Show HN: MemStitch – Zero-copy context bridging for vLLM (25x TTFT speedup)

https://github.com/DaqulaLin/MemStitch
11•daqulalin•12h ago•1 comments
Open in hackernews

Show HN: Planetary Facts – food and product impacts against the planet's limits

https://planetaryfacts.com
2•mikethemerry•1h ago
Hi HN

I'm Mike, CTO of Planetary Insights, a small NZ team. With our partners, Planetary Accounting Network (PAN), we've just released https://planetaryfacts.com - a dashboard for consumers to understand the impacts of food, products and lifestyle decisions in context of the planetary sustainability limits.

The idea: most environmental scores are relative ("30% less carbon than X") and/or carbon only. We put everything in context of the Planetary Boundaries, and the pathways to get back into the safe operating space of the planet. It means every product can be measured as a % of daily budget per category or in totality, and if everything you do is less than 100% across the board, then congratulations, you've got a lifestyle compatible with a long-term sustainable planet (including carbon, biogenic-GHG, water, nitrogen, phosphorus, biodiversity, forestland, ozone, air quality, waste).

The comparison feature is meant to be flexible to make it practical for decision making. For example, put protein sources side by side, per gram of nutritional protein: the same 75g of daily protein can be 5% or 70% of an entire daily budget (and you still have to fit in travel, electricity, clothes, etc). It's also not just food. We have petrol vs EV in there now as well, and we have done assessments for tourism experiences, buildings and more.

How the numbers are made: these are all Life Cycle Assessment (LCA) models built from international datasets, adapted for NZ, run through the Planetary Insights platform. The PAN team authored, QA'd and published these - 50 assessments so far. Honest limitations: these are generic/average benchmark datasets and within-product variation can be really high. We have a number of brands releasing their specific products (lamb, honey, a digital publication) over the coming weeks, and we're wanting more to do it.

Stack: the dashboard is Flask + TanStack. The PI for Products stack is Flask + React + OpenLCA with Postgres (incl. pgvector for some source-matching features we're working on).

Would love feedback, critiques, questions, and especially what else would you like to see in the dashboard. I'll be in the comments