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

https://www.youtube.com/watch?v=BztF7MODsKI
1•fgclue•2m ago•0 comments

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

https://github.com/oozoofrog/mcp-baepsae
1•oozoofrog•6m ago•0 comments

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

https://github.com/Deso-PK/make-trust-irrelevant
2•DesoPK•10m ago•0 comments

Show HN: Sem – Semantic diffs and patches for Git

https://ataraxy-labs.github.io/sem/
1•rs545837•11m ago•1 comments

Hello world does not compile

https://github.com/anthropics/claudes-c-compiler/issues/1
1•mfiguiere•17m ago•0 comments

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

https://github.com/meszmate/zigzag
2•meszmate•19m 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•21m ago•0 comments

Show HN: Django N+1 Queries Checker

https://github.com/richardhapb/django-check
1•richardhapb•36m 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•41m ago•0 comments

Protocol Validation with Affine MPST in Rust

https://hibanaworks.dev
1•o8vm•45m 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...
2•gmays•47m ago•0 comments

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

https://staff-engineering-simulator-880284904082.us-west1.run.app/
1•chanip0114•48m ago•1 comments

Show HN: DeSync – Decentralized Economic Realm with Blockchain-Based Governance

https://github.com/MelzLabs/DeSync
1•0xUnavailable•53m ago•0 comments

Automatic Programming Returns

https://cyber-omelette.com/posts/the-abstraction-rises.html
1•benrules2•56m ago•1 comments

Why Are There Still So Many Jobs? The History and Future of Workplace Automation [pdf]

https://economics.mit.edu/sites/default/files/inline-files/Why%20Are%20there%20Still%20So%20Many%...
2•oidar•58m ago•0 comments

The Search Engine Map

https://www.searchenginemap.com
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Show HN: Souls.directory – SOUL.md templates for AI agent personalities

https://souls.directory
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Real-Time ETL for Enterprise-Grade Data Integration

https://tabsdata.com
1•teleforce•1h ago•0 comments

Economics Puzzle Leads to a New Understanding of a Fundamental Law of Physics

https://www.caltech.edu/about/news/economics-puzzle-leads-to-a-new-understanding-of-a-fundamental...
3•geox•1h ago•1 comments

Switzerland's Extraordinary Medieval Library

https://www.bbc.com/travel/article/20260202-inside-switzerlands-extraordinary-medieval-library
2•bookmtn•1h ago•0 comments

A new comet was just discovered. Will it be visible in broad daylight?

https://phys.org/news/2026-02-comet-visible-broad-daylight.html
4•bookmtn•1h ago•0 comments

ESR: Comes the news that Anthropic has vibecoded a C compiler

https://twitter.com/esrtweet/status/2019562859978539342
2•tjr•1h ago•0 comments

Frisco residents divided over H-1B visas, 'Indian takeover' at council meeting

https://www.dallasnews.com/news/politics/2026/02/04/frisco-residents-divided-over-h-1b-visas-indi...
4•alephnerd•1h ago•5 comments

If CNN Covered Star Wars

https://www.youtube.com/watch?v=vArJg_SU4Lc
1•keepamovin•1h ago•1 comments

Show HN: I built the first tool to configure VPSs without commands

https://the-ultimate-tool-for-configuring-vps.wiar8.com/
2•Wiar8•1h ago•3 comments

AI agents from 4 labs predicting the Super Bowl via prediction market

https://agoramarket.ai/
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EU bans infinite scroll and autoplay in TikTok case

https://twitter.com/HennaVirkkunen/status/2019730270279356658
6•miohtama•1h ago•5 comments

Benchmarking how well LLMs can play FizzBuzz

https://huggingface.co/spaces/venkatasg/fizzbuzz-bench
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Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
34•SerCe•1h ago•28 comments

Octave GTM MCP Server

https://docs.octavehq.com/mcp/overview
1•connor11528•1h ago•0 comments
Open in hackernews

Show HN: Iris – an AI-powered rental search built specifically for San Francisco

https://www.irisrents.com
2•manan08•1mo ago
We built Iris after watching friends spend weeks doom-scrolling Craigslist, Zillow, Apartments.com and broker sites — only to miss good units or run into stale / scammy listings.

Iris is a SF-only rental marketplace with a few differences from existing platforms:

1. Search by natural language (“1BR near BART under $3.2k”) or images (upload inspiration photos)

2. Verified listings only from property managers, owners, and authorized agents

3. SF-specific filters: rent control toggle, transit lines, neighborhood context

What surprised us since launch:

1. A large share of inventory never shows up cleanly on national portals

2. Renters care more about context (block, transit, light, noise) than raw filters

3. Narrow vertical focus (one city) lets us build features Zillow can’t justify

Would love feedback from people who’ve built:

- Vertical marketplaces

- Local-first products

Happy to answer questions.

-- Manan Shah

Comments

willparks•1mo ago
How do you get the inventory? Are you using a standard property API like the rest? Or is most of this a manual process at this point and is that why you are focusing on one city?
manan08•1mo ago
Inventory is sourced directly, not through an API, as of now. Today it’s more manual. We onboard property managers, leasing firms, and some owners directly and we’re building bulk upload and PMS integrations to scale that. We intentionally don’t rely on scraped or syndicated feeds because that’s where stale inventory tends to creep in.

We’re focused on one city because real estate is inherently hyperlocal. Being the default marketplace for SF requires local supply controls and city-specific features that don’t generalize well at national scale. (For example, we have something as simple as a rent control toggle)

National platforms are built for everyone, which usually means generic filters and shallow context. SF renters care about things like rent control, transit lines, block-level differences and other details that get flattened at national scale.

DetectDefect•1mo ago
> We built Iris after watching friends spend weeks doom-scrolling Craigslist, Zillow, Apartments.com and broker sites — only to miss good units or run into stale / scammy listings.

How does Iris help avoid stale/scammy listing, using AI or other means?

> Verified listings only from property managers, owners, and authorized agents

Who else besides these parties is listing properties for rent - and how do they contribute to the aforementioned category of listings?

manan08•1mo ago
Iris avoids stale/scammy listings by being hyperlocal to SF and controlling who can post. While we do allow individuals to create accounts and list, every lister is reviewed and personally vetted. Most inventory comes from property managers and leasing firms, with a smaller number of verified individual owners — we don’t scrape listings or anonymous posts.

Because we focus only on SF, listers are expected to keep availability and pricing actively updated, and stale listings don’t persist the way they can on nationwide platforms. AI helps on the discovery side through natural-language and image search, but trust comes from supply-side controls and local verification, not AI alone